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add/fix patches for PyTorch 1.13.1 w/ foss/2022a #18371

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Flamefire
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@Flamefire Flamefire commented Jul 24, 2023

(created using eb --new-pr)

  • POWER-only failures in test_quantization have the same cause as those in test_ao_sparsity
  • test_ops failure persisted as the forward-port of the patch doesn't work, added the commit from my upstream PR instead
  • *-fix-fsdp-fp16-test.patch was outdated due to changes upstream. Although it applied it didn't have the expected effect

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Test report by @Flamefire
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
taurusi8004 - Linux CentOS Linux 7.9.2009, x86_64, AMD EPYC 7352 24-Core Processor (zen2), 8 x NVIDIA NVIDIA A100-SXM4-40GB, 470.57.02, Python 2.7.5
See https://gist.github.com/Flamefire/945c7643c929ddffa5f37de07404f381 for a full test report.

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Test report by @Flamefire
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
taurusml4 - Linux RHEL 7.6, POWER, 8335-GTX (power9le), 6 x NVIDIA Tesla V100-SXM2-32GB, 440.64.00, Python 2.7.5
See https://gist.github.com/Flamefire/6edbeb212934fb333c8f59a14d65cf67 for a full test report.

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boegel commented Aug 1, 2023

@boegelbot please test @ generoso
CORE_CNT=16

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@boegel: Request for testing this PR well received on login1

PR test command 'EB_PR=18371 EB_ARGS= EB_CONTAINER= /opt/software/slurm/bin/sbatch --job-name test_PR_18371 --ntasks="16" ~/boegelbot/eb_from_pr_upload_generoso.sh' executed!

  • exit code: 0
  • output:
Submitted batch job 11337

Test results coming soon (I hope)...

- notification for comment with ID 1659852530 processed

Message to humans: this is just bookkeeping information for me,
it is of no use to you (unless you think I have a bug, which I don't).

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boegel commented Aug 1, 2023

@boegelbot please test @ jsc-zen2
CORE_CNT=16

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@boegel: Request for testing this PR well received on jsczen2l1.int.jsc-zen2.easybuild-test.cluster

PR test command 'EB_PR=18371 EB_ARGS= /opt/software/slurm/bin/sbatch --mem-per-cpu=4000M --job-name test_PR_18371 --ntasks="16" ~/boegelbot/eb_from_pr_upload_jsc-zen2.sh' executed!

  • exit code: 0
  • output:
Submitted batch job 3049

Test results coming soon (I hope)...

- notification for comment with ID 1660003521 processed

Message to humans: this is just bookkeeping information for me,
it is of no use to you (unless you think I have a bug, which I don't).

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Test report by @boegelbot
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
cnx2 - Linux Rocky Linux 8.5, x86_64, Intel(R) Xeon(R) CPU E5-2667 v3 @ 3.20GHz (haswell), Python 3.6.8
See https://gist.github.com/boegelbot/73956f9b3bc4c2dce2044fd756810679 for a full test report.

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Test report by @boegelbot
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
jsczen2g1.int.jsc-zen2.easybuild-test.cluster - Linux Rocky Linux 8.5, x86_64, AMD EPYC 7742 64-Core Processor (zen2), Python 3.6.8
See https://gist.github.com/boegelbot/8683c7b1cc52c6b1e20b5c8e3948fcc6 for a full test report.

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boegel commented Aug 1, 2023

Test report by @boegel
FAILED
Build succeeded for 0 out of 1 (1 easyconfigs in total)
node3142.skitty.os - Linux RHEL 8.6, x86_64, Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz (skylake_avx512), Python 3.6.8
See https://gist.github.com/boegel/58749fd06a6ce8b0a78083285549c19f for a full test report.

@Flamefire Flamefire changed the title Fix patches for PyTorch 1.13.1 Fix patches for PyTorch-1.13.1-foss-2022a.eb Aug 2, 2023
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@boegel Could you attach the log please as your build seems to be the only failing one ?

Quick guess: Have you reinstalled GCC and OpenBLAS with #16411?

A bit confused because it seems to have worked for you in #17155 and the patches only relax stuff without the possibility to introduce failures as far as I can tell.

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boegel commented Aug 2, 2023

@Flamefire The GCCcore/11.3.0 installation indeed includes the GCCcore-11.3.0_fix-vectorizer.patch patch that was added in #16411 - that's a good thing though, right?

Here's the relevant part of the log for the failing test_jit_legacy test, let me know if you need something more:

Running test_jit_legacy ... [2023-08-01 18:09:28.812944]
Executing ['/user/gent/400/vsc40023/eb_arcaninescratch/RHEL8/skylake-ib/software/Python/3.10.4-GCCcore-11.3.0/bin/python', '-bb', 'test_jit_legacy.py', '-v'] ... [2023-08-01 18:09:28.813199]

PRINTING LOG FILE of test_jit_legacy (/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test-reports/test_jit_legacy_qr7jlwwg)
CUDA not available, skipping tests
monkeytype is not installed. Skipping tests for Profile-Directed Typing
test_becomes_wildcard_annotations (jit.test_alias_analysis.TestAliasAnalysis) ... ok
test_nested_list_construct_not_wildcard (jit.test_alias_analysis.TestAliasAnalysis) ... ok
test_recursive_calls (jit.test_alias_analysis.TestAliasAnalysis) ... ok
test_async_future_type_python (jit.test_async.TestAsync) ... ok
test_async_grad_guard_no_grad (jit.test_async.TestAsync) ... ok
test_async_grad_guard_with_grad (jit.test_async.TestAsync) ... ok
test_async_kwargs (jit.test_async.TestAsync) ... ok
test_async_parsing (jit.test_async.TestAsync) ... ok
test_async_python (jit.test_async.TestAsync) ... ok
test_async_script (jit.test_async.TestAsync) ... ok
test_async_script_capture (jit.test_async.TestAsync) ... ok
test_async_script_error (jit.test_async.TestAsync) ... ok
test_async_script_multi_forks (jit.test_async.TestAsync) ... ok
test_async_script_multi_waits (jit.test_async.TestAsync) ... ok
test_async_script_nested (jit.test_async.TestAsync) ... ok
test_async_script_no_script_mod (jit.test_async.TestAsync) ... ok
test_async_script_trace (jit.test_async.TestAsync) ... ok
test_future_subtyping (jit.test_async.TestAsync)
Test that futures subtype each other properly. ... ok
test_no_future_subtype_message (jit.test_async.TestAsync) ... ok
test_trace_fork_wait (jit.test_async.TestAsync) ... ok
test_trace_fork_wait_inline (jit.test_async.TestAsync) ... ok
test_trace_fork_wait_inline_onnx (jit.test_async.TestAsync) ... ok
test_trace_fork_wait_leaking (jit.test_async.TestAsync) ... ok
test_trace_fork_wait_list_modulecalls (jit.test_async.TestAsync) ... ok
test_trace_modulecalls_with_different_output_types (jit.test_async.TestAsync) ... ok
test_aten_pow_zero_negative_exponent (jit.test_aten_pow.TestAtenPow)
1. Testing a = int, b = int ... ok
test_autodiff_requires_grad_nograd (jit.test_autodiff.TestAutodiffJit) ... ok
test_requires_grad_outputs (jit.test_autodiff.TestAutodiffJit) ... ok
test_requires_grad_outputs_profiled_twice (jit.test_autodiff.TestAutodiffJit) ... ok
test_requires_grad_outputs_side_effects (jit.test_autodiff.TestAutodiffJit) ... ok
test_undefined_tensor_lists (jit.test_autodiff.TestAutodiffJit) ... ok
test_aliased_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_bias_as_arg (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_bias_as_module_attr (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_chunk_constant_script_ad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_constructed_bias (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_diff_graph_inline_threshold (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skipped 'This threshold is only valid for Profiling Executor'
test_differentiable_graph_ops_requires_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skipped 'disable until we property handle tensor lists with undefined gradients'
test_does_not_create_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_does_not_merge_unrelated (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_has_profiled_info_aliasing_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_merge_respects_aliasing (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_merges_dense (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_merges_down (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_merges_up (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_merges_without_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_prune_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_requires_grad_for_tensor_list (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_respects_lexical_scoping (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_simple_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_simple_no_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok
test_errors (jit.test_backends.TestBackends) ... skipped 'Non-portable load_library call used in test'
test_execution (jit.test_backends.TestBackends) ... skipped 'Non-portable load_library call used in test'
test_save_load (jit.test_backends.TestBackends) ... skipped 'Non-portable load_library call used in test'
test_errors (jit.test_backends.TestBackendsWithCompiler) ... skipped 'Non-portable load_library call used in test'
test_execution (jit.test_backends.TestBackendsWithCompiler) ... skipped 'Non-portable load_library call used in test'
test_batch_mm_no_mutation (jit.test_batch_mm.TestBatchMM) ... ok
test_batch_mm_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok
test_batch_mm_prohibited_mutation (jit.test_batch_mm.TestBatchMM) ... ok
test_batch_mm_prohibited_mutation_if_node (jit.test_batch_mm.TestBatchMM) ... ok
test_batch_mm_prohibited_mutation_multiple_adds (jit.test_batch_mm.TestBatchMM) ... ok
test_batch_mm_side_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok
test_batch_mm_side_prohibited_mutation_common_side (jit.test_batch_mm.TestBatchMM) ... ok
test_batch_mm_side_prohibited_mutation_uncommon_side (jit.test_batch_mm.TestBatchMM) ... ok
test_del (jit.test_builtins.TestBuiltins) ... ok
test_del_multiple_operands (jit.test_builtins.TestBuiltins) ... ok
test_has_attr (jit.test_builtins.TestBuiltins) ... ok
test_has_attr_invalid_args (jit.test_builtins.TestBuiltins) ... ok
test_cast_overloads (jit.test_class_type.TestClassType) ... ok
test_class_attribute_wrong_type (jit.test_class_type.TestClassType)
Test that the error message displayed when convering a class type ... ok
test_class_constant (jit.test_class_type.TestClassType) ... ok
test_class_constructs_itself (jit.test_class_type.TestClassType) ... ok
test_class_inheritance (jit.test_class_type.TestClassType) ... ok
test_class_inheritance_implicit (jit.test_class_type.TestClassType)
Test that inheritance is detected in ... ok
test_class_sorting (jit.test_class_type.TestClassType) ... ok
test_class_specialization (jit.test_class_type.TestClassType) ... ok
test_class_type_as_param (jit.test_class_type.TestClassType) ... ok
test_classmethod (jit.test_class_type.TestClassType)
Test classmethods on class types. ... ok
test_conditional_set_attr (jit.test_class_type.TestClassType) ... ok
test_custom_delete (jit.test_class_type.TestClassType)
Test that del can be called on an instance of a class that ... ok
test_default_args (jit.test_class_type.TestClassType)
Test that methods on class types can have default arguments. ... ok
test_get_attr (jit.test_class_type.TestClassType) ... ok
test_get_attr_not_initialized (jit.test_class_type.TestClassType) ... ok
test_get_with_method (jit.test_class_type.TestClassType) ... ok
test_imported_classes (jit.test_class_type.TestClassType) ... skipped "Importing like this doesn't work in fbcode"
test_in (jit.test_class_type.TestClassType) ... ok
test_init_compiled_first (jit.test_class_type.TestClassType) ... ok
test_interface (jit.test_class_type.TestClassType) ... ok
test_optional_type_promotion (jit.test_class_type.TestClassType) ... ok
test_out_of_order_methods (jit.test_class_type.TestClassType) ... ok
test_overloaded_fn (jit.test_class_type.TestClassType) ... ok
test_properties (jit.test_class_type.TestClassType)
Test that a scripted class can make use of the @property decorator. ... ok
test_py_class_to_ivalue_missing_attribute (jit.test_class_type.TestClassType) ... ok
test_python_interop (jit.test_class_type.TestClassType) ... ok
test_recursive_class (jit.test_class_type.TestClassType)
Recursive class types not yet supported. We should give a good error message. ... ok
test_recursive_script_builtin_type_resolution (jit.test_class_type.TestClassType)
Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled. ... ok
test_recursive_script_module_builtin_type_resolution (jit.test_class_type.TestClassType)
Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled ... ok
test_recursive_scripting (jit.test_class_type.TestClassType)
Test that class types are recursively scripted when an Python instance of one ... ok
test_recursive_scripting_failed (jit.test_class_type.TestClassType)
Test that class types module attributes that fail to script ... ok
test_reference_semantics (jit.test_class_type.TestClassType)
Test that modifications made to a class instance in TorchScript ... ok
test_save_load_with_classes (jit.test_class_type.TestClassType) ... ok
test_save_load_with_classes_nested (jit.test_class_type.TestClassType) ... ok
test_save_load_with_classes_returned (jit.test_class_type.TestClassType) ... ok
test_schema_human_readable (jit.test_class_type.TestClassType)
Make sure that the schema is human readable, ie the mode parameter should read "nearest" instead of being displayed in octal ... ok
test_self_referential_method (jit.test_class_type.TestClassType)
Test that a scripted class can have a method that refers to the class itself ... ok
test_set_attr_in_method (jit.test_class_type.TestClassType) ... ok
test_set_attr_non_initialized (jit.test_class_type.TestClassType) ... ok
test_set_attr_type_mismatch (jit.test_class_type.TestClassType) ... ok
test_staticmethod (jit.test_class_type.TestClassType)
Test static methods on class types. ... ok
test_type_annotation (jit.test_class_type.TestClassType)
Test that annotating container attributes with types works correctly ... ok
test_type_annotations (jit.test_class_type.TestClassType) ... ok
test_unresolved_class_attributes (jit.test_class_type.TestClassType) ... ok
test_unused_method (jit.test_class_type.TestClassType)
Test unused methods on scripted classes. ... ok
test_binary_op_complex_tensor (jit.test_complex.TestComplex) ... ok
test_comparison_ops (jit.test_complex.TestComplex) ... ok
test_complex_constants_and_ops (jit.test_complex.TestComplex) ... ok
test_complex_constructor (jit.test_complex.TestComplex) ... ok
test_complex_list_sum (jit.test_complex.TestComplex) ... ok
test_complex_parse (jit.test_complex.TestComplex) ... ok
test_complexdict (jit.test_complex.TestComplex) ... ok
test_complexlist (jit.test_complex.TestComplex) ... ok
test_div (jit.test_complex.TestComplex) ... ok
test_infj_nanj_pickle (jit.test_complex.TestComplex) ... ok
test_pickle (jit.test_complex.TestComplex) ... ok
test_script (jit.test_complex.TestComplex) ... ok
test_tensor_attributes (jit.test_complex.TestComplex) ... ok
test_torch_complex_constructor_with_tensor (jit.test_complex.TestComplex) ... ok
test_calling_scripted_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok
test_calling_traced_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok
test_default_arguments_are_used (jit.test_custom_operators.TestCustomOperators) ... ok
test_dynamic_op_registry (jit.test_custom_operators.TestCustomOperators) ... ok
test_generic_list (jit.test_custom_operators.TestCustomOperators) ... ok
test_passing_and_returning_lists (jit.test_custom_operators.TestCustomOperators) ... ok
test_passing_one_positional_but_not_the_second (jit.test_custom_operators.TestCustomOperators) ... ok
test_passing_too_few_args (jit.test_custom_operators.TestCustomOperators) ... ok
test_passing_too_many_args (jit.test_custom_operators.TestCustomOperators) ... ok
test_passing_unknown_kwargs (jit.test_custom_operators.TestCustomOperators) ... ok
test_script_graph_contains_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok
test_script_graph_for_custom_ops_matches_traced_graph (jit.test_custom_operators.TestCustomOperators) ... skipped 'Need to figure out default dtype differences between fbcode and oss'
test_simply_calling_an_operator (jit.test_custom_operators.TestCustomOperators) ... ok
test_where_no_scalar (jit.test_custom_operators.TestCustomOperators) ... ok
test_setattr_no_aliasdb (jit.test_dce.TestDCE) ... ok
test_setattr_removed (jit.test_dce.TestDCE) ... ok
test_python_submodule_script (jit.test_data_parallel.TestDataParallel) ... skipped 'multi-GPU not supported'
test_shared_module (jit.test_data_parallel.TestDataParallel) ... skipped 'multi-GPU not supported'
test_tensor_sharing (jit.test_data_parallel.TestDataParallel) ... skipped 'multi-GPU not supported'
test_tensor_sharing_with_forward (jit.test_data_parallel.TestDataParallel) ... skipped 'multi-GPU not supported'
test_traced_module (jit.test_data_parallel.TestDataParallel) ... skipped 'multi-GPU not supported'
test__post_init__ (jit.test_dataclasses.TestDataclasses) ... ok
test_comparators (jit.test_dataclasses.TestDataclasses) ... ok
test_custom__eq__ (jit.test_dataclasses.TestDataclasses) ... ok
test_default_factories (jit.test_dataclasses.TestDataclasses) ... ok
test_init_vars (jit.test_dataclasses.TestDataclasses) ... ok
test_no_source (jit.test_dataclasses.TestDataclasses) ... ok
test_use_unregistered_dataclass_raises (jit.test_dataclasses.TestDataclasses) ... ok
test_custom_device_op (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_device_apply (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_device_arg (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_device_if_propagation (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_if_loop_mix (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_loop_device_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_loop_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_mobilenet (jit.test_device_analysis.TestDeviceAnalysis) ... skipped 'Requires torchvision'
test_nested_loops (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_set_dtype (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_tensor_as_fns (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_while_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_zerodim_cpu (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_zerodim_gpu (jit.test_device_analysis.TestDeviceAnalysis) ... skipped 'No CUDA'
test_zerodim_no_device (jit.test_device_analysis.TestDeviceAnalysis) ... ok
test_aug_assign (jit.test_list_dict.TestDict) ... ok
test_basic (jit.test_list_dict.TestDict) ... ok
test_clear (jit.test_list_dict.TestDict) ... ok
test_copy (jit.test_list_dict.TestDict) ... ok
test_del (jit.test_list_dict.TestDict) ... ok
test_dict_bool_conversion (jit.test_list_dict.TestDict) ... ok
test_dict_preserves_order (jit.test_list_dict.TestDict) ... ok
test_dict_to_python (jit.test_list_dict.TestDict) ... ok
test_dict_variance (jit.test_list_dict.TestDict)
`Dict[T1, _]` is not a subtype of `Dict[T2, _]`, even if `T1` is ... ok
test_get (jit.test_list_dict.TestDict) ... ok
test_get_boolkey (jit.test_list_dict.TestDict) ... ok
test_items (jit.test_list_dict.TestDict) ... ok
test_key_type (jit.test_list_dict.TestDict) ... ok
test_keys (jit.test_list_dict.TestDict) ... ok
test_len (jit.test_list_dict.TestDict) ... ok
test_loop (jit.test_list_dict.TestDict) ... ok
test_membership (jit.test_list_dict.TestDict) ... ok
test_mutability (jit.test_list_dict.TestDict) ... ok
test_optional_dict_construct (jit.test_list_dict.TestDict) ... ok
test_ordered_dict (jit.test_list_dict.TestDict) ... ok
test_pop (jit.test_list_dict.TestDict) ... ok
test_popitem (jit.test_list_dict.TestDict) ... ok
test_setdefault (jit.test_list_dict.TestDict) ... ok
test_type_annotation_missing_contained_type (jit.test_list_dict.TestDict)
Test that the use of a Dict type annotation without contained ... ok
test_update (jit.test_list_dict.TestDict) ... ok
test_update_existing_key (jit.test_list_dict.TestDict) ... ok
test_values (jit.test_list_dict.TestDict) ... ok
test_view (jit.test_list_dict.TestDict) ... ok
test_binary_scalar (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok
test_binary_tensors (jit.test_dtype_analysis.TestDtypeAnalysis) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_dtype_analysis.py:165: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/aten/src/ATen/EmptyTensor.cpp:31.)
  rand_tensor = torch.rand(shape, dtype=dtype)
ok
test_combined (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok
test_conv_no_mixed_args (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok
test_custom_rules (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok
test_unary (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok
test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure
test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure
test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_avg_pool3d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_batch_norm_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_batch_norm_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_batch_norm_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv1d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv1d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_hardswish_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_hardswish_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_hardswish_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_prelu_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_prelu_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_ints_nn_functional_prelu_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_avg_pool3d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_batch_norm_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_batch_norm_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_batch_norm_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv1d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure
test_custom_rules_nn_functional_conv1d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure
test_custom_rules_nn_functional_conv1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure
test_custom_rules_nn_functional_conv2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure
test_custom_rules_nn_functional_conv2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv_transpose2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv_transpose2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_conv_transpose2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_hardswish_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_hardswish_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_hardswish_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_prelu_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_prelu_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_custom_rules_nn_functional_prelu_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok
test_closed_over_enum_constant (jit.test_enum.TestEnum) ... ok
test_enum_as_const (jit.test_enum.TestEnum) ... ok
test_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok
test_enum_comp (jit.test_enum.TestEnum) ... ok
test_enum_comp_diff_classes (jit.test_enum.TestEnum) ... ok
test_enum_explicit_script (jit.test_enum.TestEnum) ... ok
test_enum_iterate (jit.test_enum.TestEnum) ... ok
test_enum_ivalue_type (jit.test_enum.TestEnum) ... ok
test_enum_module_return (jit.test_enum.TestEnum) ... ok
test_enum_name (jit.test_enum.TestEnum) ... ok
test_enum_return (jit.test_enum.TestEnum) ... ok
test_enum_value (jit.test_enum.TestEnum) ... ok
test_enum_value_types (jit.test_enum.TestEnum) ... ok
test_heterogenous_value_type_enum_error (jit.test_enum.TestEnum) ... ok
test_non_existent_enum_value (jit.test_enum.TestEnum) ... ok
test_string_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok
test_aten_fallback (jit.test_export_modes.TestExportModes) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/onnx/utils.py:1871: FutureWarning: 'torch.onnx._patch_torch._aten_op' is deprecated in version 1.13 and will be removed in version 1.14. Please note 'g.at()' is to be removed from torch.Graph. Please open a GitHub issue if you need this functionality..
  return graph_context.at(
/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/onnx/_patch_torch.py:108: FutureWarning: 'torch.onnx._patch_torch._graph_op' is deprecated in version 1.13 and will be removed in version 1.14. Please note 'g.op()' is to be removed from torch.Graph. Please open a GitHub issue if you need this functionality..
  return _graph_op(
ok
test_caffe2_aten_fallback (jit.test_export_modes.TestExportModes) ... skipped 'Caffe2 is not available'
test_compressed_zipfile (jit.test_export_modes.TestExportModes) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_export_modes.py:52: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead.
  torch.onnx._export(torch_model, (fake_input), f, verbose=False,
ok
test_directory (jit.test_export_modes.TestExportModes) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_export_modes.py:59: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead.
  torch.onnx._export(torch_model, (fake_input), d, verbose=False,
ok
test_onnx_aten (jit.test_export_modes.TestExportModes) ... ok
test_onnx_multiple_return (jit.test_export_modes.TestExportModes) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_export_modes.py:69: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead.
  torch.onnx._export(foo, (x,), f)
ok
test_protobuf (jit.test_export_modes.TestExportModes) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_export_modes.py:38: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead.
  torch.onnx._export(torch_model, (fake_input), f, verbose=False,
ok
test_zipfile (jit.test_export_modes.TestExportModes) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_export_modes.py:45: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead.
  torch.onnx._export(torch_model, (fake_input), f, verbose=False,
ok
test_freeze_module (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_detach_gradient (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_in_training_mode (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_inlining (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_no_forward (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_return_self (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_return_sub_module (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_aliased_attr (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_aliased_attr2 (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_aliased_attr3 (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_aliased_tensor_attr (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_aliased_tensor_attr2 (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_aliased_tensor_attr3 (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_aliased_tensor_attr4 (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_call_method (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_fork (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_fork2 (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_fork_calling_module_method (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_helperfunction (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_inplace_mutable (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_list (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_mutable_dict (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_mutable_list (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_mutable_tensor (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_nested_fork (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_nestedaliasing (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_nestedaliasingscalar (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_non_static_module_container_index (jit.test_freezing.TestFreezing)
Test that Modules containing non-static ModuleDict or ModuleList ... ok
test_freeze_module_with_overlapping_attrs (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_preserve_sub_module (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_preserve_sub_module_and_mutation (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_sharedclasstype (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_submodule (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_tensor (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_tuple (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_tupleoutput_submodule (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_user_preserved_attr (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_user_preserved_attribute_on_submodule (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_user_preserved_attribute_on_unused_submodule (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_user_preserved_method (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_user_preserved_method2 (jit.test_freezing.TestFreezing) ... ok
test_freeze_module_with_user_preserved_method_on_submodule (jit.test_freezing.TestFreezing) ... ok
test_freeze_no_forward (jit.test_freezing.TestFreezing) ... ok
test_freeze_non_module_class_getattr (jit.test_freezing.TestFreezing) ... ok
test_module_getattr_indirection (jit.test_freezing.TestFreezing) ... ok
test_module_with_shared_type_instances (jit.test_freezing.TestFreezing) ... ok
test_instancing_error (test_jit.TestFrontend) ... ok
test_collapse_adjacent_conversions (jit.test_freezing.TestFrozenOptimizations) ... ok
test_conv_add_folding (jit.test_freezing.TestFrozenOptimizations) ... ok
test_conv_bn_folding (jit.test_freezing.TestFrozenOptimizations) ... ok
test_conv_bn_folding_autocast_scenario_cuda (jit.test_freezing.TestFrozenOptimizations) ... skipped 'Optimization currently only run for GPU'
test_conv_bn_folding_not_forward (jit.test_freezing.TestFrozenOptimizations) ... ok
test_conv_hardswish (jit.test_freezing.TestFrozenOptimizations) ... skipped 'no torchvision'
test_conv_mul_add_bn (jit.test_freezing.TestFrozenOptimizations) ... ok
test_conv_to_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok
test_conv_to_mkldnn_no_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... skipped 'Testing no mkldnn'
test_freeze_conv_relu_fusion (jit.test_freezing.TestFrozenOptimizations) ... skipped 'requires CUDNN'
test_freeze_conv_relu_fusion_not_forward (jit.test_freezing.TestFrozenOptimizations) ... skipped 'requires CUDNN'
test_freeze_mkdlnn (jit.test_freezing.TestFrozenOptimizations) ... ok
test_freeze_remove_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok
test_freeze_remove_feature_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok
test_hardswish_hardsigmoid (jit.test_freezing.TestFrozenOptimizations) ... ok
test_incompatible_perf_formats (jit.test_freezing.TestFrozenOptimizations) ... ok
test_linear_concat (jit.test_freezing.TestFrozenOptimizations) ... skipped 'Optimization currently only run for GPU'
test_linear_concat_complex (jit.test_freezing.TestFrozenOptimizations)
Testing that the interleaving of multiple optimizations does not ... skipped 'Optimization currently only run for GPU'
test_linear_concat_different_input (jit.test_freezing.TestFrozenOptimizations)
There should be no change to the graph due to the optimization pass ... skipped 'Optimization currently only run for GPU'
test_linear_multiple_blocks (jit.test_freezing.TestFrozenOptimizations) ... skipped 'Optimization currently only run for GPU'
test_linear_non_constant_weight (jit.test_freezing.TestFrozenOptimizations) ... ok
test_linear_transpose (jit.test_freezing.TestFrozenOptimizations) ... ok
test_maxpool_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... skipped 'no torchvision'
test_mkldnn_fuser_broadcasting (jit.test_freezing.TestFrozenOptimizations) ... ok
test_mkldnn_inplace_removal (jit.test_freezing.TestFrozenOptimizations) ... ok
test_optimize_freeze_module (jit.test_freezing.TestFrozenOptimizations) ... ok
test_pool2d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok
test_pool3d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok
test_remove_detach (jit.test_freezing.TestFrozenOptimizations) ... ok
test_remove_detach_not_applied (jit.test_freezing.TestFrozenOptimizations) ... ok
test_scalar_mul (jit.test_freezing.TestFrozenOptimizations) ... ok
test_subgraph_creation (jit.test_functional_blocks.TestFunctionalBlocks) ... ok
test_check_no_type_promotion (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok
test_functional_to_inplace_activation (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok
test_no_functional_to_inplace (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok
test_resnet18_correctness (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... skipped 'no torchvision'
test_getattr_with_default (jit.test_attr.TestGetDefaultAttr) ... ok
test_fuse_linear (jit.test_graph_rewrite_passes.TestGraphRewritePasses) ... ok
test_hash_bool (jit.test_hash.TestHash) ... ok
test_hash_device (jit.test_hash.TestHash) ... ok
test_hash_float (jit.test_hash.TestHash) ... ok
test_hash_int (jit.test_hash.TestHash) ... ok
test_hash_none (jit.test_hash.TestHash) ... ok
test_hash_string (jit.test_hash.TestHash) ... ok
test_hash_tensor (jit.test_hash.TestHash)
Tensors should hash by identity ... ok
test_hash_tuple (jit.test_hash.TestHash) ... ok
test_hash_tuple_nested_unhashable_type (jit.test_hash.TestHash) ... ok
test_forward_tuple_input (jit.test_hooks.TestHooks) ... ok
test_hook_compilation_hint (jit.test_hooks.TestHooks) ... skipped ''
test_hook_hook_name_collision (jit.test_hooks.TestHooks) ... ok
test_hook_method_name_collision (jit.test_hooks.TestHooks) ... ok
test_module_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok
test_module_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok
test_module_forward_single_input (jit.test_hooks.TestHooks) ... ok
test_module_hook_return_nothing (jit.test_hooks.TestHooks) ... ok
test_module_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok
test_module_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok
test_module_no_forward_input (jit.test_hooks.TestHooks) ... ok
test_module_same_hook_repeated (jit.test_hooks.TestHooks) ... ok
test_submodule_called_directly_with_hooks (jit.test_hooks.TestHooks) ... ok
test_submodule_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok
test_submodule_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok
test_submodule_forward_single_input (jit.test_hooks.TestHooks) ... ok
test_submodule_forward_single_input_return_not_tupled (jit.test_hooks.TestHooks) ... ok
test_submodule_hook_return_nothing (jit.test_hooks.TestHooks) ... ok
test_submodule_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok
test_submodule_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok
test_submodule_no_forward_input (jit.test_hooks.TestHooks) ... ok
test_submodule_same_hook_repeated (jit.test_hooks.TestHooks) ... ok
test_wrong_hook_signatures (jit.test_hooks.TestHooks) ... ok
test_wrong_pre_hook_signatures (jit.test_hooks.TestHooks) ... ok
test_add_out_ignorable_args (jit.test_ignorable_args.TestIgnorableArgs) ... ok
test_slice_ignorable_args_for_slice (jit.test_ignorable_args.TestIgnorableArgs) ... ok
test_with_ignore_context_manager_with_inp_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... skipped 'astunparse package is required'
test_with_ignore_context_manager_with_just_inp (jit.test_ignore_context_manager.TestIgnoreContextManager) ... skipped 'astunparse package is required'
test_with_ignore_context_manager_with_just_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... skipped 'astunparse package is required'
test_inplace_to_functional_activation (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok
test_resnet18_correctness (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... skipped 'no torchvision'
test_bool (jit.test_isinstance.TestIsinstance) ... ok
test_dict (jit.test_isinstance.TestIsinstance) ... ok
test_dict_nested (jit.test_isinstance.TestIsinstance) ... ok
test_dict_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok
test_dict_tensor (jit.test_isinstance.TestIsinstance) ... ok
test_empty_container_special_cases (jit.test_isinstance.TestIsinstance) ... ok
test_empty_container_throws_warning_in_eager (jit.test_isinstance.TestIsinstance) ... ok
test_float (jit.test_isinstance.TestIsinstance) ... ok
test_if_else (jit.test_isinstance.TestIsinstance) ... ok
test_in_if (jit.test_isinstance.TestIsinstance) ... ok
test_in_while_loop (jit.test_isinstance.TestIsinstance) ... ok
test_int (jit.test_isinstance.TestIsinstance) ... ok
test_list (jit.test_isinstance.TestIsinstance) ... ok
test_list_nested (jit.test_isinstance.TestIsinstance) ... ok
test_list_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok
test_list_tensor (jit.test_isinstance.TestIsinstance) ... ok
test_list_tensor_type_true (jit.test_isinstance.TestIsinstance) ... ok
test_nontuple_container_rhs_throws_in_eager (jit.test_isinstance.TestIsinstance) ... ok
test_optional (jit.test_isinstance.TestIsinstance) ... ok
test_optional_nested (jit.test_isinstance.TestIsinstance) ... ok
test_optional_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok
test_optional_none (jit.test_isinstance.TestIsinstance) ... ok
test_tensor_type_false (jit.test_isinstance.TestIsinstance) ... ok
test_tuple (jit.test_isinstance.TestIsinstance) ... ok
test_tuple_nested (jit.test_isinstance.TestIsinstance) ... ok
test_tuple_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok
test_tuple_rhs (jit.test_isinstance.TestIsinstance) ... ok
test_tuple_tensor (jit.test_isinstance.TestIsinstance) ... ok
test_type_refinement (jit.test_isinstance.TestIsinstance) ... ok
test_ModuleList (test_jit.TestJit) ... ok
test_Sequential (test_jit.TestJit) ... ok
test_T_mT_H_mH (test_jit.TestJit) ... ok
test_add_relu_fusion (test_jit.TestJit) ... ok
test_arg_configurations (test_jit.TestJit)
Different arg configurations should trigger different traces ... skipped 'Need to be adjusted to Graph Executor'
test_attrs (test_jit.TestJit) ... ok
test_batchnorm (test_jit.TestJit) ... ok
test_big (test_jit.TestJit) ... skipped 'Requires a lot of RAM'
test_conj_transpose (test_jit.TestJit) ... ok
test_constant_insertion (test_jit.TestJit) ... ok
test_constant_prop_aliasing_type (test_jit.TestJit) ... ok
test_constant_prop_exception (test_jit.TestJit) ... ok
test_constant_prop_if_constant (test_jit.TestJit) ... ok
test_constant_prop_if_inline (test_jit.TestJit) ... ok
test_constant_prop_loop_constant (test_jit.TestJit) ... ok
test_constant_prop_nested (test_jit.TestJit) ... ok
test_constant_prop_none (test_jit.TestJit) ... ok
test_constant_prop_print (test_jit.TestJit) ... ok
test_constant_prop_rand (test_jit.TestJit) ... ok
test_constant_prop_remove_output (test_jit.TestJit) ... ok
test_constant_prop_simple (test_jit.TestJit) ... ok
test_constants_pkl (test_jit.TestJit) ... ok
test_cpp (test_jit.TestJit) ... skipped 'gtest runs these in sandcastle'
test_cse (test_jit.TestJit) ... ok
test_cse_not_introduce_aliasing (test_jit.TestJit) ... ok
test_cu_escaped_number (test_jit.TestJit) ... ok
test_cuda_export_restore (test_jit.TestJit) ... skipped 'requires CUDA'
test_debug_flush_compilation_cache (test_jit.TestJit) ... skipped 'Not implemented for Simple or Legacy'
test_decompose_addmm (test_jit.TestJit) ... ok
test_device_not_equal (test_jit.TestJit) ... skipped 'requires CUDA'
test_diff_subgraph_clones_constants (test_jit.TestJit) ... ok
test_disabled (test_jit.TestJit) ... ok
test_dropout (test_jit.TestJit) ... ok
test_dropout_cuda (test_jit.TestJit) ... skipped 'test_dropout_cuda require CUDA'
test_dropout_func_requires_grad (test_jit.TestJit) ... STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:294] Completed Stage: Warm Up
STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:300] Completed Stage: Collection
STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:294] Completed Stage: Warm Up
STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:300] Completed Stage: Collection
STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:294] Completed Stage: Warm Up
STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:300] Completed Stage: Collection
STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:294] Completed Stage: Warm Up
STAGE:2023-08-01 18:10:07 1569765:1569765 ActivityProfilerController.cpp:300] Completed Stage: Collection
ok
test_dropout_module_requires_grad (test_jit.TestJit) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_einsum (test_jit.TestJit) ... ok
test_element_size (test_jit.TestJit) ... ok
test_expand_fold_quant_inputs (test_jit.TestJit) ... ok
test_expand_quantlint (test_jit.TestJit) ... ok
test_export_batchnorm (test_jit.TestJit) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_export_dropout (test_jit.TestJit) ... ok
test_export_lstm (test_jit.TestJit) ... ok
test_export_opnames (test_jit.TestJit) ... ok
test_export_rnn (test_jit.TestJit) ... ok
test_flags (test_jit.TestJit) ... skipped 'Need to instrument GraphExecutors a bit more'
test_function_default_values (test_jit.TestJit) ... ok
test_hide_source_ranges_context_manager (test_jit.TestJit) ... ok
test_import_method (test_jit.TestJit) ... ok
test_inferred_as_tensor (test_jit.TestJit) ... ok
test_layout (test_jit.TestJit) ... ok
test_matrix_conj_transpose (test_jit.TestJit) ... ok
test_matrix_transpose (test_jit.TestJit) ... ok
test_module_default_values (test_jit.TestJit) ... ok
test_mutable_default_values (test_jit.TestJit) ... ok
test_native_dropout_corner_case (test_jit.TestJit) ... skipped 'test requires CUDA'
test_nn_conv (test_jit.TestJit) ... ok
test_nn_lp_pool1d (test_jit.TestJit) ... ok
test_nn_lp_pool2d (test_jit.TestJit) ... ok
test_nn_padding (test_jit.TestJit) ... ok
test_nn_padding_functional (test_jit.TestJit) ... ok
test_no_erroneous_warnings (test_jit.TestJit) ... ok
test_non_ascii_string (test_jit.TestJit) ... skipped 'temporarily disable the test for fwd compatibility'
test_numel (test_jit.TestJit) ... ok
test_pattern_based_module_rewrite (test_jit.TestJit) ... ok
test_pattern_based_rewrite (test_jit.TestJit) ... ok
test_pattern_based_rewrite_with_source_range_preserved (test_jit.TestJit) ... ok
test_peephole_optimize_shape_ops (test_jit.TestJit) ... ok
test_permute_inputs_binding (test_jit.TestJit) ... ok
test_pretty_printer (test_jit.TestJit) ... ok
test_print_classes_module (test_jit.TestJit) ... ok
test_print_op_module (test_jit.TestJit) ... ok
test_print_torch_ops_modules (test_jit.TestJit) ... ok
test_profiler (test_jit.TestJit) ... STAGE:2023-08-01 18:10:09 1569765:1569765 ActivityProfilerController.cpp:294] Completed Stage: Warm Up
STAGE:2023-08-01 18:10:09 1569765:1569765 ActivityProfilerController.cpp:300] Completed Stage: Collection
FAIL
test_python_bindings (test_jit.TestJit) ... ok
test_python_ir (test_jit.TestJit) ... ok
test_python_ir_utils (test_jit.TestJit) ... ok
test_python_ir_utils_graph (test_jit.TestJit) ... ok
test_python_ivalue (test_jit.TestJit) ... ok
test_pytorch_jit_env_off (test_jit.TestJit) ... ok
test_recursive_cse (test_jit.TestJit) ... ok
test_repeat_interleave_script (test_jit.TestJit) ... ok
test_restore_device (test_jit.TestJit) ... ok
test_restore_device_cuda (test_jit.TestJit) ... skipped 'restore device requires CUDA'
test_restore_shared_storage_on_cuda (test_jit.TestJit) ... skipped 'restore device requires CUDA'
test_script_autograd_grad (test_jit.TestJit) ... ok
test_script_backward (test_jit.TestJit) ... ok
test_script_backward_twice (test_jit.TestJit) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/jit/_script.py:1243: UserWarning: `optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead
  warnings.warn(
ok
test_script_fn_pkl (test_jit.TestJit) ... ok
test_script_tensor_type (test_jit.TestJit) ... ok
test_shape_analysis_broadcast (test_jit.TestJit) ... ok
test_shape_analysis_masked_select (test_jit.TestJit) ... ok
test_shape_analysis_unsqueeze_in_loop (test_jit.TestJit) ... ok
test_sparse_csr_tensors (test_jit.TestJit) ... ok
test_sparse_tensors (test_jit.TestJit) ... ok
test_torch_complex (test_jit.TestJit) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:471: UserWarning: An output with one or more elements was resized since it had shape [3, 4], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/aten/src/ATen/native/Resize.cpp:17.)
  return callable(*args, **kwargs)
/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:471: UserWarning: An output with one or more elements was resized since it had shape [5, 2], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/aten/src/ATen/native/Resize.cpp:17.)
  return callable(*args, **kwargs)
ok
test_torch_load_error (test_jit.TestJit) ... skipped 'TODO: re-enable with https://github.com/pytorch/pytorch/pull/29339'
test_torch_load_zipfile_check (test_jit.TestJit) ... ok
test_torch_ops_kwonly (test_jit.TestJit) ... ok
test_torch_ops_overloaded (test_jit.TestJit) ... ok
test_torch_sum (test_jit.TestJit) ... ok
test_trace_retains_train (test_jit.TestJit) ... ok
test_train_eval (test_jit.TestJit) ... ok
test_transpose (test_jit.TestJit) ... ok
test_unchecked_cast (test_jit.TestJit) ... ok
test_unique_state_dict (test_jit.TestJit) ... ok
test_verify (test_jit.TestJit) ... skipped 'verify needs to be updated to work with GraphExecutors'
test_warnings (test_jit.TestJit) ... ok
test_nn_AdaptiveAvgPool1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool1d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool1d_one_output (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool2d_single (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool2d_single_1x1output (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool2d_tuple (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool2d_tuple_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool3d_last_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool3d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool3d_single (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool3d_tuple (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveAvgPool3d_tuple_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool1d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool2d_single (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool2d_tuple (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool2d_tuple_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool3d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool3d_single (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool3d_single_nonatomic (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool3d_tuple (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool3d_tuple_nonatomic (test_jit.TestJitGeneratedModule) ... ok
test_nn_AdaptiveMaxPool3d_tuple_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool1d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool1d_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool1d_stride_pad (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool2d_divisor (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool2d_divisor_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool2d_divisor_stride_pad (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool2d_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool2d_stride_pad (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_divisor (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_divisor_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_divisor_stride_pad (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_stride1_pad0_gpu_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_stride_pad (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_stride_pad_gpu_general_output (test_jit.TestJitGeneratedModule) ... ok
test_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_no_reduce_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_scalar_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_weights_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCELoss_weights_no_reduce_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_legacy_enum (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_no_reduce_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_scalar_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_BCEWithLogitsLoss_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm1d_3d_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm1d_3d_input_not_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm1d_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm1d_affine_simple_average (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm1d_not_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm1d_not_tracking_stats (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm1d_zero_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm2d_2d_simple_average (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm2d_momentum (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm2d_not_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm2d_not_tracking_stats (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm2d_zero_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm3d_3d_simple_average (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm3d_momentum (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm3d_not_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm3d_not_tracking_stats (test_jit.TestJitGeneratedModule) ... ok
test_nn_BatchNorm3d_zero_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_Bilinear (test_jit.TestJitGeneratedModule) ... ok
test_nn_CELU (test_jit.TestJitGeneratedModule) ... ok
test_nn_CELU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_CELU_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_CTCLoss_2d_int_target_lengths_intlists (test_jit.TestJitGeneratedModule) ... skipped 'module test skipped on JIT'
test_nn_CTCLoss_2d_int_target_lengths_tensors (test_jit.TestJitGeneratedModule) ... ok
test_nn_CTCLoss_2d_lengths_tensors (test_jit.TestJitGeneratedModule) ... ok
test_nn_CTCLoss_lengths_intlists (test_jit.TestJitGeneratedModule) ... skipped 'module test skipped on JIT'
test_nn_CTCLoss_lengths_tensors (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad1d_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad1d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad2d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad3d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConstantPad3d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_circular_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_groups (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad1 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad1size1 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad2size1 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad_same (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad_same2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad_same_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_pad_valid (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_reflect_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_replicate_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_zero_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv1d_zeros_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_circular_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_depthwise (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_depthwise_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_depthwise_padded (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_depthwise_strided (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_depthwise_with_multiplier (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_groups (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_groups_thnn (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_no_bias (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_pad_same (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_pad_same_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_pad_valid (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_padding (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_reflect_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_replicate_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_strided (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_zero_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv2d_zeros_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_1x1x1_no_bias (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_circular_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_dilated_strided (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_groups (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_no_bias (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_pad_same (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_pad_same_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_pad_valid (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_replicate_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_stride_padding (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_zero_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_Conv3d_zeros_stride2_pad2 (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose1d_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose1d_groups (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose1d_no_bias (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose2d_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose2d_groups (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose2d_no_bias (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ConvTranspose3d_dilated (test_jit.TestJitGeneratedModule) ... ok
test_nn_CosineEmbeddingLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_CosineEmbeddingLoss_margin (test_jit.TestJitGeneratedModule) ... ok
test_nn_CosineEmbeddingLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_CosineEmbeddingLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_CosineEmbeddingLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_indices_target_smoothing (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_prob_target (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_prob_target_smoothing (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_prob_target_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_2d_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_indices_target_smoothing (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_prob_target (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_prob_target_smoothing (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_3d_prob_target_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_4d_prob_target (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_4d_prob_target_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_dim_is_3 (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_higher_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossEntropyLoss_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_CrossMapLRN2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ELU (test_jit.TestJitGeneratedModule) ... ok
test_nn_ELU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_ELU_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Embedding (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_discontiguous (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_max (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_max_padding_idx (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_mean_padding_idx (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_sparse (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_EmbeddingBag_sum_padding_idx (test_jit.TestJitGeneratedModule) ... ok
test_nn_Embedding_discontiguous (test_jit.TestJitGeneratedModule) ... ok
test_nn_Embedding_sparse (test_jit.TestJitGeneratedModule) ... ok
test_nn_Flatten (test_jit.TestJitGeneratedModule) ... ok
test_nn_Flatten_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Fold (test_jit.TestJitGeneratedModule) ... ok
test_nn_Fold_int_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_Fold_no_batch_dim_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_Fold_no_batch_dim_int_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool2d_ratio (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool2d_ratio_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool2d_ratio_return_indices (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool2d_size (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool2d_size_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_asymsize (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_ratio (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_ratio_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_ratio_return_indices (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_size (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_size_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (test_jit.TestJitGeneratedModule) ... ok
test_nn_GELU (test_jit.TestJitGeneratedModule) ... ok
test_nn_GELU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_GELU_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_GLU (test_jit.TestJitGeneratedModule) ... ok
test_nn_GLU_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_GLU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_GRUCell (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_1d_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_1d_affine_GN (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_1d_affine_large_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_1d_no_affine_IN (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_1d_no_affine_LN (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_2d_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_2d_affine_large_feature (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_2d_no_affine_IN (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_2d_no_affine_LN (test_jit.TestJitGeneratedModule) ... ok
test_nn_GroupNorm_2d_no_affine_large_feature (test_jit.TestJitGeneratedModule) ... ok
test_nn_Hardshrink (test_jit.TestJitGeneratedModule) ... ok
test_nn_Hardshrink_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Hardshrink_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Hardsigmoid_no_batch_dim (test_jit.TestJitGeneratedModule) ... skipped 'module test skipped on JIT'
test_nn_Hardswish_no_batch_dim (test_jit.TestJitGeneratedModule) ... skipped 'module test skipped on JIT'
test_nn_Hardtanh (test_jit.TestJitGeneratedModule) ... ok
test_nn_Hardtanh_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Hardtanh_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss_margin (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss_margin_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_HingeEmbeddingLoss_scalar_margin (test_jit.TestJitGeneratedModule) ... ok
test_nn_HuberLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_HuberLoss_delta (test_jit.TestJitGeneratedModule) ... ok
test_nn_HuberLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_HuberLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_HuberLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm1d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm1d_tracking_stats (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm1d_tracking_stats_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm2d_tracking_stats (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm2d_tracking_stats_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm3d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm3d_tracking_stats (test_jit.TestJitGeneratedModule) ... ok
test_nn_InstanceNorm3d_tracking_stats_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_log_target (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_no_reduce_log_target (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_no_reduce_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_no_reduce_scalar_log_target (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_scalar_log_target (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_with_log_target_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_KLDivLoss_with_target_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss_no_reduce_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss_no_reduce_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_L1Loss_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_LPPool1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_LPPool1d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_LPPool1d_norm (test_jit.TestJitGeneratedModule) ... ok
test_nn_LPPool2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_LPPool2d_norm (test_jit.TestJitGeneratedModule) ... ok
test_nn_LSTMCell (test_jit.TestJitGeneratedModule) ... ok
test_nn_LayerNorm_1d_elementwise_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_LayerNorm_1d_empty_elementwise_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_LayerNorm_1d_no_elementwise_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_LayerNorm_3d_elementwise_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_LayerNorm_3d_no_affine_large_feature (test_jit.TestJitGeneratedModule) ... ok
test_nn_LayerNorm_3d_no_elementwise_affine (test_jit.TestJitGeneratedModule) ... ok
test_nn_LeakyReLU (test_jit.TestJitGeneratedModule) ... ok
test_nn_LeakyReLU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_LeakyReLU_with_negval (test_jit.TestJitGeneratedModule) ... ok
test_nn_LeakyReLU_with_negval_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_LeakyReLU_with_zero_negval (test_jit.TestJitGeneratedModule) ... ok
test_nn_Linear (test_jit.TestJitGeneratedModule) ... ok
test_nn_Linear_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Linear_no_bias (test_jit.TestJitGeneratedModule) ... ok
test_nn_LocalResponseNorm_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_LocalResponseNorm_2d_uneven_pad (test_jit.TestJitGeneratedModule) ... ok
test_nn_LocalResponseNorm_3d_custom_params (test_jit.TestJitGeneratedModule) ... ok
test_nn_LogSigmoid (test_jit.TestJitGeneratedModule) ... ok
test_nn_LogSigmoid_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_LogSigmoid_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_LogSoftmax (test_jit.TestJitGeneratedModule) ... ok
test_nn_LogSoftmax_multiparam (test_jit.TestJitGeneratedModule) ... ok
test_nn_LogSoftmax_multiparam_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_LogSoftmax_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss_no_reduce_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss_prec (test_jit.TestJitGeneratedModule) ... ok
test_nn_MSELoss_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_MarginRankingLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_MarginRankingLoss_margin (test_jit.TestJitGeneratedModule) ... ok
test_nn_MarginRankingLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_MarginRankingLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_MarginRankingLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool1d_return_indices (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool1d_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool2d_3d_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool2d_4d_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool2d_return_indices (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool3d_return_indices (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool3d_stride (test_jit.TestJitGeneratedModule) ... ok
test_nn_MaxPool3d_stride_padding (test_jit.TestJitGeneratedModule) ... ok
test_nn_Mish (test_jit.TestJitGeneratedModule) ... ok
test_nn_Mish_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Mish_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_0d_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_1d_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_index_neg (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelMarginLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelSoftMarginLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelSoftMarginLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelSoftMarginLoss_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiLabelSoftMarginLoss_weights_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_1d_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_margin (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_margin_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_p (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_p_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiMarginLoss_weights_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_MultiheadAttention (test_jit.TestJitGeneratedModule) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_nn_NLLLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss2d_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss2d_no_reduce_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss2d_no_reduce_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLossNd_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLossNd_no_reduce_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLossNd_no_reduce_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_2d_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_2d_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_dim_is_3 (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_higher_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_reduce_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_reduce_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_reduce_weights_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_no_reduce_weights_ignore_index_neg (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_weights (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_weights_ignore_index (test_jit.TestJitGeneratedModule) ... ok
test_nn_NLLLoss_weights_ignore_index_neg (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_1d_multiparam (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_2d_multiparam (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_3d_multiparam (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_PReLU_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding122112_3dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding1221_2dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding12_1dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding2322_2dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding31_1dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding322112_3dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding332122_3dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding3331_2dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_Padding33_1dcircular (test_jit.TestJitGeneratedModule) ... ok
test_nn_PairwiseDistance (test_jit.TestJitGeneratedModule) ... ok
test_nn_PairwiseDistance_broadcast_lhs (test_jit.TestJitGeneratedModule) ... ok
test_nn_PairwiseDistance_broadcast_rhs (test_jit.TestJitGeneratedModule) ... ok
test_nn_PairwiseDistance_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_PairwiseDistance_with_non_default_args (test_jit.TestJitGeneratedModule) ... ok
test_nn_PixelShuffle (test_jit.TestJitGeneratedModule) ... ok
test_nn_PixelUnshuffle (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_full_loss (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_full_loss_no_log_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_no_full_loss (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_no_full_loss_no_log_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_PoissonNLLLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_RNNCell (test_jit.TestJitGeneratedModule) ... ok
test_nn_RReLU (test_jit.TestJitGeneratedModule) ... ok
test_nn_RReLU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_RReLU_with_up_down (test_jit.TestJitGeneratedModule) ... ok
test_nn_RReLU_with_up_down_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReLU (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReLU6 (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReLU6_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReLU6_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReLU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReLU_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad1d_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad1d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad2d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad3d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReflectionPad3d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad1d_batch (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad1d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad2d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad3d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ReplicationPad3d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_SELU (test_jit.TestJitGeneratedModule) ... ok
test_nn_SELU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_SELU_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_SiLU (test_jit.TestJitGeneratedModule) ... ok
test_nn_SiLU_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_SiLU_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Sigmoid (test_jit.TestJitGeneratedModule) ... ok
test_nn_Sigmoid_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Sigmoid_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_beta (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_no_reduce_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_SmoothL1Loss_zero_beta (test_jit.TestJitGeneratedModule) ... ok
test_nn_SoftMarginLoss (test_jit.TestJitGeneratedModule) ... ok
test_nn_SoftMarginLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_SoftMarginLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_SoftMarginLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_SoftMarginLoss_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmax (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmax2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmax2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmax_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmax_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmin (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmin_multidim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmin_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softmin_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softplus (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softplus_beta (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softplus_beta_threshold (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softplus_beta_threshold_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softplus_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softshrink (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softshrink_lambda (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softshrink_lambda_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softshrink_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softsign (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softsign_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Softsign_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Tanh (test_jit.TestJitGeneratedModule) ... ok
test_nn_Tanh_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Tanh_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Tanhshrink (test_jit.TestJitGeneratedModule) ... ok
test_nn_Tanhshrink_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Tanhshrink_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Threshold_large_value (test_jit.TestJitGeneratedModule) ... ok
test_nn_Threshold_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Threshold_threshold_value (test_jit.TestJitGeneratedModule) ... ok
test_nn_Threshold_threshold_value_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_Transformer (test_jit.TestJitGeneratedModule) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_nn_TransformerDecoderLayer_gelu_activation (test_jit.TestJitGeneratedModule) ... ok
test_nn_TransformerDecoderLayer_relu_activation (test_jit.TestJitGeneratedModule) ... ok
test_nn_TransformerEncoderLayer_gelu_activation (test_jit.TestJitGeneratedModule) ... ok
test_nn_TransformerEncoderLayer_relu_activation (test_jit.TestJitGeneratedModule) ... ok
test_nn_Transformer_multilayer_coder (test_jit.TestJitGeneratedModule) ... ok
test_nn_TripletMarginLoss_no_batch_dim_mean (test_jit.TestJitGeneratedModule) ... ok
test_nn_TripletMarginLoss_no_batch_dim_none (test_jit.TestJitGeneratedModule) ... ok
test_nn_TripletMarginLoss_no_batch_dim_sum (test_jit.TestJitGeneratedModule) ... ok
test_nn_Unflatten_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_Unfold (test_jit.TestJitGeneratedModule) ... ok
test_nn_Unfold_int_input (test_jit.TestJitGeneratedModule) ... ok
test_nn_ZeroPad2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_ZeroPad2d_complex (test_jit.TestJitGeneratedModule) ... ok
test_nn_ZeroPad2d_negative_dims (test_jit.TestJitGeneratedModule) ... ok
test_nn_ZeroPad2d_no_batch_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_2d_zero_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_scale_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_scale_tuple_shared_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_scale_tuple_skewed_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_tuple_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bicubic_tuple_2d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_2d_zero_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_scale_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_scale_tuple_shared_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_scale_tuple_skewed_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_tuple_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_bilinear_tuple_2d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_linear_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_linear_1d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_linear_1d_zero_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_linear_scale_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_linear_scale_1d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_linear_tuple_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_1d_zero_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_2d_launch_configs (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_2d_zero_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_3d_zero_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_scale_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_scale_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_scale_3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_tuple_1d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_tuple_2d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_nearest_tuple_3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_trilinear_3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_trilinear_3d_zero_dim (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_trilinear_scale_3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_trilinear_scale_3d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_trilinear_tuple_3d (test_jit.TestJitGeneratedModule) ... ok
test_nn_interpolate_trilinear_tuple_3d_align_corners (test_jit.TestJitGeneratedModule) ... ok
test_nn_log_softmax_dim0 (test_jit.TestJitGeneratedModule) ... ok
test_nn_log_softmax_dim3 (test_jit.TestJitGeneratedModule) ... ok
test_nn_log_softmax_lastdim (test_jit.TestJitGeneratedModule) ... ok
test_nn_log_softmax_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_log_softmax_spatial (test_jit.TestJitGeneratedModule) ... ok
test_nn_log_softmax_spatial_special (test_jit.TestJitGeneratedModule) ... ok
test_nn_multimarginloss_1d_input_0d_target_no_reduce (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_functional_dim0 (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_functional_dim3 (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_functional_scalar (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_lastdim (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_lastdim_dtype (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_spatial (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_spatial_dtype (test_jit.TestJitGeneratedModule) ... ok
test_nn_softmax_spatial_special (test_jit.TestJitGeneratedModule) ... ok
test_checkscriptassertraisesregex (jit.test_jit_utils.TestJitUtils) ... ok
test_get_callable_argument_names_hybrid (jit.test_jit_utils.TestJitUtils) ... ok
test_get_callable_argument_names_keyword_only (jit.test_jit_utils.TestJitUtils) ... ok
test_get_callable_argument_names_positional_only (jit.test_jit_utils.TestJitUtils) ... ok
test_get_callable_argument_names_positional_or_keyword (jit.test_jit_utils.TestJitUtils) ... ok
test_get_callable_argument_names_var_keyword (jit.test_jit_utils.TestJitUtils) ... ok
test_get_callable_argument_names_var_positional (jit.test_jit_utils.TestJitUtils) ... ok
test_no_tracer_warn_context_manager (jit.test_jit_utils.TestJitUtils) ... ok
test_comprehension_iterable (jit.test_list_dict.TestList) ... ok
test_comprehension_out_type_not_in_type (jit.test_list_dict.TestList) ... ok
test_comprehensions_basic (jit.test_list_dict.TestList) ... ok
test_comprehensions_basic_float (jit.test_list_dict.TestList) ... ok
test_comprehensions_two_comps (jit.test_list_dict.TestList) ... ok
test_copy_list_immutable (jit.test_list_dict.TestList) ... ok
test_copy_list_mutable (jit.test_list_dict.TestList) ... ok
test_del (jit.test_list_dict.TestList) ... ok
test_dict_keyword_is_correctly_typed (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_dict_comprehension (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_dict_comprehension_and_kwargs (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_empty_dict_comprehension (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_empty_iterable (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_internal_aggregate_function (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_iterable (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_kwargs (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_kwargs_using_container_values (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_mapping (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_mapping_and_kwargs (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_mismatched_annotations (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_nested_call (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_previously_declared_variable (jit.test_list_dict.TestList) ... ok
test_dict_keyword_with_previously_declared_variable_and_kwargs (jit.test_list_dict.TestList) ... ok
test_extend_list_immutable (jit.test_list_dict.TestList) ... ok
test_extend_list_mutable (jit.test_list_dict.TestList) ... ok
test_in_check (jit.test_list_dict.TestList) ... ok
test_list_bool_conversion (jit.test_list_dict.TestList) ... ok
test_list_count (jit.test_list_dict.TestList) ... ok
test_list_count_not_existing (jit.test_list_dict.TestList) ... ok
test_list_gather (jit.test_list_dict.TestList) ... ok
test_list_index (jit.test_list_dict.TestList) ... ok
test_list_index_not_existing (jit.test_list_dict.TestList) ... ok
test_list_keyword (jit.test_list_dict.TestList) ... ok
test_list_len (jit.test_list_dict.TestList) ... ok
test_list_literal (jit.test_list_dict.TestList) ... ok
test_list_none (jit.test_list_dict.TestList) ... ok
test_list_ops (jit.test_list_dict.TestList) ... ok
test_list_slice (jit.test_list_dict.TestList) ... ok
test_list_sort (jit.test_list_dict.TestList) ... ok
test_list_unification_hint (jit.test_list_dict.TestList) ... ok
test_list_variance (jit.test_list_dict.TestList)
`List[T1]` is not a subtype of `List[T2]`, even if `T1` is a ... ok
test_min_bool_list (jit.test_list_dict.TestList) ... ok
test_min_max_list (jit.test_list_dict.TestList) ... ok
test_min_max_single_list (jit.test_list_dict.TestList) ... ok
test_mutable_list_append (jit.test_list_dict.TestList) ... ok
test_mutable_list_append_2 (jit.test_list_dict.TestList) ... ok
test_mutable_list_append_if (jit.test_list_dict.TestList) ... ok
test_mutable_list_append_if_else (jit.test_list_dict.TestList) ... ok
test_mutable_list_append_loop (jit.test_list_dict.TestList) ... ok
test_mutable_list_append_loop_if (jit.test_list_dict.TestList) ... ok
test_mutable_list_clear (jit.test_list_dict.TestList) ... ok
test_mutable_list_clear_empty (jit.test_list_dict.TestList) ... ok
test_mutable_list_function_inline (jit.test_list_dict.TestList) ... ok
test_mutable_list_insert (jit.test_list_dict.TestList) ... ok
test_mutable_list_insert_neg_out_of_bounds (jit.test_list_dict.TestList) ... ok
test_mutable_list_insert_negative (jit.test_list_dict.TestList) ... ok
test_mutable_list_insert_out_of_bounds (jit.test_list_dict.TestList) ... ok
test_mutable_list_nested_loop (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop2 (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop_at (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop_at2 (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop_at_negative (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop_at_negative2 (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop_empty (jit.test_list_dict.TestList) ... ok
test_mutable_list_pop_slice (jit.test_list_dict.TestList) ... ok
test_mutable_list_remove (jit.test_list_dict.TestList) ... ok
test_mutable_list_remove2 (jit.test_list_dict.TestList) ... ok
test_mutable_list_remove_not_existing (jit.test_list_dict.TestList) ... ok
test_mutable_list_remove_tensor (jit.test_list_dict.TestList) ... ok
test_mutable_list_reverse (jit.test_list_dict.TestList) ... ok
test_mutable_list_reverse_empty (jit.test_list_dict.TestList) ... ok
test_mutable_tensor_list_reverse (jit.test_list_dict.TestList) ... ok
test_no_element_type_annotation (jit.test_list_dict.TestList) ... ok
test_slice_index (jit.test_list_dict.TestList) ... ok
test_tensor_list_count (jit.test_list_dict.TestList) ... ok
test_tensor_list_count_not_existing (jit.test_list_dict.TestList) ... ok
test_tensor_list_index (jit.test_list_dict.TestList) ... ok
test_tensor_list_index_not_existing (jit.test_list_dict.TestList) ... ok
test_to_list (jit.test_list_dict.TestList)
Unit tests for Tensor.tolist() function. ... ok
test_to_list_gpu (jit.test_list_dict.TestList)
GPU tests for Tensor.tolist() function. ... skipped 'CUDA is not available'
test_bump_numeric_counter (jit.test_logging.TestLogging) ... ok
test_counter_aggregation (jit.test_logging.TestLogging) ... ok
test_logging_levels_set (jit.test_logging.TestLogging) ... ok
test_time_measurement_counter (jit.test_logging.TestLogging) ... ok
test_time_measurement_counter_script (jit.test_logging.TestLogging) ... ok
test_trace_numeric_counter (jit.test_logging.TestLogging) ... ok
test_always_alive_values (jit.test_freezing.TestMKLDNNReinplacing) ... ERROR
test_merge_liveness (jit.test_freezing.TestMKLDNNReinplacing) ... ERROR
test_successful (jit.test_freezing.TestMKLDNNReinplacing) ... ERROR
test_switch_inputs_to_inplace (jit.test_freezing.TestMKLDNNReinplacing) ... ERROR
test_broadcasting_list (jit.test_misc.TestMisc)
Test BroadcastingList and torch.nn._size_N_t alias ... ok
test_export_opnames_interface (jit.test_misc.TestMisc) ... ok
test_future_isinstance (jit.test_misc.TestMisc) ... ok
test_hacked_twin (jit.test_misc.TestMisc) ... ok
test_if_returning_any (jit.test_misc.TestMisc)
Check that an if statement can return different ... ok
test_joined_str (jit.test_misc.TestMisc) ... ok
test_kwarg_support (jit.test_misc.TestMisc) ... ok
test_legacy_tensor_constructor (jit.test_misc.TestMisc) ... ok
test_list_literal_infer (jit.test_misc.TestMisc) ... ok
test_math_inf (jit.test_misc.TestMisc) ... ok
test_parse_ir_annotate (jit.test_misc.TestMisc) ... ok
test_parse_ir_single_element_tensor_negative (jit.test_misc.TestMisc) ... ok
test_parse_ir_single_element_tensor_positive (jit.test_misc.TestMisc) ... ok
test_str_refine_any (jit.test_misc.TestMisc) ... ok
test_subexpression_Dict_int_Future (jit.test_misc.TestMisc) ... ok
test_subexpression_Future_annotate (jit.test_misc.TestMisc) ... ok
test_subexpression_List_Future (jit.test_misc.TestMisc) ... ok
test_subexpression_Optional (jit.test_misc.TestMisc) ... ok
test_subexpression_Tuple_int_int_Future (jit.test_misc.TestMisc) ... ok
test_tuple_subscripted_assign (jit.test_misc.TestMisc) ... ok
test_call_script_fn_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok
test_call_script_module_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok
test_call_traced_fn_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok
test_call_traced_mod_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok
test_call_tracing_fn_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok
test_call_tracing_mod_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok
test_script_inline_trace_multiple_args (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_dict_mix_script (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_hierarchy (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_linear (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_mixed_by_script_with_dict_output (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_of_script (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_parameter (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_returning_dict_with_tensor_tuples (jit.test_tracer.TestMixTracingScripting)
Tracing over a module returning a dictionary whose values are tuples of tensors ... ok
test_trace_script (jit.test_tracer.TestMixTracingScripting) ... ok
test_trace_script_returning_complex_dict (jit.test_tracer.TestMixTracingScripting)
Tracing over a script function returning a dictionary should work. ... ok
test_trace_with_size (jit.test_tracer.TestMixTracingScripting) ... ok
test_traced_module_contains_scripted_interface_types (jit.test_tracer.TestMixTracingScripting) ... ok
test_traced_module_implements_interface (jit.test_tracer.TestMixTracingScripting) ... ok
test_tracing_indexing (jit.test_tracer.TestMixTracingScripting) ... ok
test_tracing_slicing (jit.test_tracer.TestMixTracingScripting) ... ok
test_alexnet (jit.test_models.TestModels) ... skipped 'no torchvision'
test_dcgan_models (jit.test_models.TestModels) ... ok
test_dcgan_models_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_mnist (jit.test_models.TestModels) ... skipped 'Bug found in deprecated executor'
test_mnist_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_mnist_training_leaks_no_memory_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_neural_style (jit.test_models.TestModels) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_neural_style_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_reinforcement_learning (jit.test_models.TestModels) ... ok
test_reinforcement_learning_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_script_module_script_resnet (jit.test_models.TestModels) ... skipped 'no torchvision'
test_script_module_trace_resnet18 (jit.test_models.TestModels) ... skipped 'no torchvision'
test_snli (jit.test_models.TestModels) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_snli_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_snli_quantized (jit.test_models.TestModels) ... ok
test_super_resolution (jit.test_models.TestModels) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_super_resolution_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_time_sequence_prediction (jit.test_models.TestModels) ... ok
test_vae (jit.test_models.TestModels) ... ok
test_vae_cuda (jit.test_models.TestModels) ... skipped 'no CUDA'
test_vae_quantized (jit.test_models.TestModels) ... ok
test_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
Tests that customized state dict methods are in effect ... ok
test_default_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
Tests that default state dict methods are automatically available ... ok
test_submodule_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
Tests that customized state dict methods on submodules are in effect ... ok
test_custom_container_forward (jit.test_module_containers.TestModuleContainers) ... ok
test_empty_dict_override_contains (jit.test_module_containers.TestModuleContainers) ... ok
test_module_inplace_construct (jit.test_module_containers.TestModuleContainers) ... ok
test_module_interface_special_methods (jit.test_module_containers.TestModuleContainers) ... ok
test_module_properties (jit.test_module_containers.TestModuleContainers) ... ok
test_moduledict (jit.test_module_containers.TestModuleContainers) ... ok
test_moduledict_getitem (jit.test_module_containers.TestModuleContainers) ... ok
test_moduledict_keyerror (jit.test_module_containers.TestModuleContainers) ... ok
test_normal_list_attribute_with_modules_error (jit.test_module_containers.TestModuleContainers)
Test that an attempt to script a module with a regular list attribute ... ok
test_parameterdict_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok
test_parameterlist_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok
test_parameterlist_script_iter (jit.test_module_containers.TestModuleContainers) ... ok
test_script_module_list_sequential (jit.test_module_containers.TestModuleContainers) ... ok
test_script_modulelist_index (jit.test_module_containers.TestModuleContainers) ... ok
test_sequential_intermediary_types (jit.test_module_containers.TestModuleContainers) ... ok
test_special_method_with_override (jit.test_module_containers.TestModuleContainers) ... ok
test_typed_module_dict (jit.test_module_containers.TestModuleContainers)
Test that a type annotation can be provided for a ModuleDict that allows ... ok
test_typed_module_list (jit.test_module_containers.TestModuleContainers)
Test that a type annotation can be provided for a ModuleList that allows ... ok
test_freeze_module_with_inplace_mutation_in_interface (jit.test_module_interface.TestModuleInterface) ... ok
test_freeze_module_with_interface (jit.test_module_interface.TestModuleInterface) ... ok
test_freeze_module_with_interface_and_fork (jit.test_module_interface.TestModuleInterface) ... ok
test_freeze_module_with_mutated_interface (jit.test_module_interface.TestModuleInterface) ... ok
test_freeze_module_with_setattr_in_interface (jit.test_module_interface.TestModuleInterface) ... ok
test_module_apis_interface (jit.test_module_interface.TestModuleInterface) ... ok
test_module_doc_string (jit.test_module_interface.TestModuleInterface) ... ok
test_module_interface (jit.test_module_interface.TestModuleInterface) ... ok
test_module_interface_inheritance (jit.test_module_interface.TestModuleInterface) ... ok
test_module_interface_subtype (jit.test_module_interface.TestModuleInterface) ... ok
test_module_swap (jit.test_module_interface.TestModuleInterface) ... ok
test_module_swap_no_lazy_compile (jit.test_module_interface.TestModuleInterface) ... ok
test_module_swap_no_module_interface (jit.test_module_interface.TestModuleInterface) ... ok
test_module_swap_wrong_module (jit.test_module_interface.TestModuleInterface) ... ok
test_not_submodule_interface_call (jit.test_module_interface.TestModuleInterface) ... ok
test_script_module_as_interface_swap (jit.test_module_interface.TestModuleInterface) ... ok
test_script_module_with_constants_list (jit.test_modules.TestModules)
Test that a module that has __constants__ set to something ... ok
test_namedtuple (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_as_attr (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_constant (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_kwarg_construct (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_lower (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_resolution (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_serialization (jit.test_list_dict.TestNamedTuple) ... skipped 'broken while these tests were not in CI'
test_namedtuple_slice_unpack (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_type_annotation (jit.test_list_dict.TestNamedTuple) ... ok
test_namedtuple_wrong_types (jit.test_list_dict.TestNamedTuple) ... ok
test_return_named_tuple (jit.test_list_dict.TestNamedTuple) ... ok
test_adaptive_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
  t = torch.tensor(t)
ok
test_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_cat (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_compile_spec_santiy (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_conv2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_conv2d_transpose (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_dequantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_detach (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_flatten (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_hardtanh (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_linear (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_log_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/nn/modules/module.py:1194: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument.
  return forward_call(*input, **kwargs)
/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/jit/_trace.py:443: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument.
  outs = wrap_retval(mod(*_clone_inputs(inputs)))
ok
test_max_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_mean (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_multi_output (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_pointwise_binary (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_pointwise_binary_const (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_pointwise_unary (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_prelu (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_qadd (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_qlinear (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_quantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_reshape (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_seblock_mul (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_slice (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/nn/modules/module.py:1194: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
  return forward_call(*input, **kwargs)
/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/jit/_trace.py:443: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
  outs = wrap_retval(mod(*_clone_inputs(inputs)))
ok
test_tensor_input (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_to (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_unsqueeze (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_upsample_nearest2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok
test_op_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok
test_registered_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok
test_fuse_activation_with_pack_ops_linear_conv2d_1 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok
test_fuse_activation_with_pack_ops_linear_conv2d_2 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok
test_fuse_activation_with_pack_ops_linear_conv2d_3 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok
test_fuse_activation_with_pack_ops_linear_conv2d_4 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok
test_insert_pre_packed_linear_before_inline_and_conv_2d_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok
test_insert_pre_packed_linear_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok
test_replace_conv1d_with_conv2d (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok
test_scriptable (jit.test_parametrization.TestParametrization) ... ok
test_traceable (jit.test_parametrization.TestParametrization)
Test the jit scripting and tracing of a parametrized model. ... ok
test_conv_dim_folding (jit.test_peephole.TestPeephole) ... ERROR
test_integer_refinement (jit.test_peephole.TestPeephole) ... ok
test_noop_peephole (jit.test_peephole.TestPeephole) ... ok
test_normalized_is_op (jit.test_peephole.TestPeephole) ... ok
test_normalized_isnot_op (jit.test_peephole.TestPeephole) ... ok
test_normalized_rsub (jit.test_peephole.TestPeephole) ... ok
test_optimize_out_comparison_same_value (jit.test_peephole.TestPeephole) ... ok
test_peephole (jit.test_peephole.TestPeephole) ... ok
test_peephole_add_zero (jit.test_peephole.TestPeephole) ... You have not run this instance of FileCheck!
FileCheck checks:
ok
test_peephole_arith (jit.test_peephole.TestPeephole) ... ok
test_peephole_cuda (jit.test_peephole.TestPeephole) ... skipped 'cpp tests require CUDA'
test_peephole_dict_getitem_no_optimization_dict_modified (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_getitem_no_optimization_get_input_arg (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_getitem_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_getitem_no_optimization_missing_key (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_getitem_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_getitem_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_getitem_simple (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_len (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_len_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_len_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok
test_peephole_dict_len_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok
test_peephole_dynamic (jit.test_peephole.TestPeephole) ... ok
test_peephole_int (jit.test_peephole.TestPeephole) ... ok
test_peephole_len_list (jit.test_peephole.TestPeephole) ... ok
test_peephole_list_len (jit.test_peephole.TestPeephole) ... ok
test_peephole_list_ops (jit.test_peephole.TestPeephole) ... ok
test_peephole_no_output_aliasing (jit.test_peephole.TestPeephole) ... ok
test_peephole_optional_refine (jit.test_peephole.TestPeephole) ... ok
test_peephole_slice_all_three_args (jit.test_peephole.TestPeephole) ... ok
test_peephole_slice_one_empty_arg (jit.test_peephole.TestPeephole) ... ok
test_peephole_slice_optimization_not_applied_list_modified (jit.test_peephole.TestPeephole) ... ok
test_peephole_slice_optimization_not_applied_non_const_args (jit.test_peephole.TestPeephole) ... ok
test_peephole_slice_two_empty_args (jit.test_peephole.TestPeephole) ... ok
test_peephole_type_refinements (jit.test_peephole.TestPeephole) ... ok
test_peephole_with_non_output_writes (jit.test_peephole.TestPeephole) ... ok
test_peephole_with_writes (jit.test_peephole.TestPeephole) ... ok
test_refine_integer_values (jit.test_peephole.TestPeephole) ... ok
test_short_circuit_optimization (jit.test_peephole.TestPeephole) ... ok
test_version (test_jit.TestProducerVersion) ... ok
test_aliasing_merge (jit.test_profiler.TestProfiler) ... ok
test_autograd_fallback_graph (jit.test_profiler.TestProfiler) ... ok
test_fallback_graph_not_specialized (jit.test_profiler.TestProfiler) ... ok
test_iterative_fusion (jit.test_profiler.TestProfiler) ... ok
test_local_fusion_strategy (jit.test_profiler.TestProfiler) ... ok
test_not_fusing_scalar_ops (jit.test_profiler.TestProfiler) ... ok
test_not_optimizing_property (jit.test_profiler.TestProfiler) ... ok
test_specialize_backward (jit.test_profiler.TestProfiler) ... ok
test_specialized_types (jit.test_profiler.TestProfiler) ... ok
test_tensor_constant (jit.test_profiler.TestProfiler) ... ok
test_tensor_type_not_determined_by_inputs (jit.test_profiler.TestProfiler) ... ok
test_use_not_profiled (jit.test_profiler.TestProfiler) ... ok
test_aliasdb (jit.test_python_bindings.TestPythonBindings) ... ok
test_canonicalize (jit.test_python_bindings.TestPythonBindings) ... ok
test_cu_create_function (jit.test_python_bindings.TestPythonBindings) ... ok
test_cu_get_functions (jit.test_python_bindings.TestPythonBindings) ... ok
test_graph_create (jit.test_python_bindings.TestPythonBindings) ... ok
test_graph_iterator_keepalive (jit.test_python_bindings.TestPythonBindings) ... ok
test_invalidation (jit.test_python_bindings.TestPythonBindings) ... ok
test_add (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_advancedindex (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_gather (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_index (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_index_ellipses (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_inf (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_matmul_py3 (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_mul (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_pow (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_random (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_slice (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_stepped_tuple_slicing (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_str_to_float (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_triple (jit.test_python_builtins.TestPythonBuiltinOP) ... ok
test_param_strides (jit.test_python_ir.TestPythonIr) ... ok
test_attributes (jit.test_recursive_script.TestRecursiveScript) ... ok
test_class_compile (jit.test_recursive_script.TestRecursiveScript) ... ok
test_constants_with_final (jit.test_recursive_script.TestRecursiveScript) ... ok
test_dir (jit.test_recursive_script.TestRecursiveScript) ... ok
test_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok
test_error_stack_annotation (jit.test_recursive_script.TestRecursiveScript) ... ok
test_error_stack_class (jit.test_recursive_script.TestRecursiveScript) ... ok
test_error_stack_module (jit.test_recursive_script.TestRecursiveScript) ... ok
test_failed_function_compilation (jit.test_recursive_script.TestRecursiveScript) ... ok
test_function_attribute_in_submodule (jit.test_recursive_script.TestRecursiveScript) ... ok
test_ignore_class (jit.test_recursive_script.TestRecursiveScript) ... ok
test_inferred_nonetype (jit.test_recursive_script.TestRecursiveScript) ... ok
test_init_error (jit.test_recursive_script.TestRecursiveScript) ... ok
test_inner_traced_module (jit.test_recursive_script.TestRecursiveScript) ... ok
test_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok
test_method_call (jit.test_recursive_script.TestRecursiveScript) ... ok
test_module_basic (jit.test_recursive_script.TestRecursiveScript) ... ok
test_module_function_export (jit.test_recursive_script.TestRecursiveScript) ... ok
test_module_name (jit.test_recursive_script.TestRecursiveScript) ... ok
test_module_repr (jit.test_recursive_script.TestRecursiveScript) ... ok
test_optional_module (jit.test_recursive_script.TestRecursiveScript) ... ok
test_override_instance_method_ignore (jit.test_recursive_script.TestRecursiveScript) ... ok
test_prepare_scriptable_basic (jit.test_recursive_script.TestRecursiveScript) ... ok
test_prepare_scriptable_cycle (jit.test_recursive_script.TestRecursiveScript) ... ok
test_prepare_scriptable_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok
test_python_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok
test_repeated_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok
test_script_after_eval (jit.test_recursive_script.TestRecursiveScript) ... ok
test_script_basic (jit.test_recursive_script.TestRecursiveScript) ... ok
test_script_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok
test_script_loaded_module (jit.test_recursive_script.TestRecursiveScript)
Test that we can hold a loaded ScriptModule as a submodule. ... ok
test_aten_inplace (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_common_pytorch_list_ops (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_if_output (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_if_output_fail (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_list_indexing_removal (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_lists_append (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_lists_insert (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_special_mapped_op (jit.test_remove_mutation.TestRemoveMutation) ... ok
test_different_functions (jit.test_save_load.TestSaveLoad)
Exercise the situation where we have the same qualified name ... ok
test_different_interfaces (jit.test_save_load.TestSaveLoad)
Exercise the situation where we have the same qualified name ... ok
test_different_modules (jit.test_save_load.TestSaveLoad)
Exercise the situation where we have the same qualified name ... ok
test_many_collisions (jit.test_save_load.TestSaveLoad) ... ok
test_save_load_meta_tensors (jit.test_save_load.TestSaveLoad)
Check that parameters, buffers, and submodules are the same after loading ... ok
test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoad)
Check that parameters, buffers, and submodules are the same after loading. ... ok
test_save_load_using_pathlib (jit.test_save_load.TestSaveLoad) ... ok
test_save_load_with_extra_files (jit.test_save_load.TestSaveLoad) ... ok
test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoad)
Even if a NamedTuple is only used as an input argument, saving and ... ok
test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoad)
Even if a NamedTuple is only used as an output argument, saving and ... ok
test_save_nonexit_file (jit.test_save_load.TestSaveLoad) ... ok
test_different_functions (jit.test_save_load.TestSaveLoadFlatbuffer)
Exercise the situation where we have the same qualified name ... skipped 'Need to enable flatbuffer to run the below tests'
test_different_interfaces (jit.test_save_load.TestSaveLoadFlatbuffer)
Exercise the situation where we have the same qualified name ... skipped 'Need to enable flatbuffer to run the below tests'
test_different_modules (jit.test_save_load.TestSaveLoadFlatbuffer)
Exercise the situation where we have the same qualified name ... skipped 'Need to enable flatbuffer to run the below tests'
test_many_collisions (jit.test_save_load.TestSaveLoadFlatbuffer) ... skipped 'Need to enable flatbuffer to run the below tests'
test_module_info_flatbuffer (jit.test_save_load.TestSaveLoadFlatbuffer) ... skipped 'Need to enable flatbuffer to run the below tests'
test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoadFlatbuffer)
Check that parameters, buffers, and submodules are the same after loading. ... skipped 'Need to enable flatbuffer to run the below tests'
test_save_load_using_pathlib (jit.test_save_load.TestSaveLoadFlatbuffer) ... skipped 'Need to enable flatbuffer to run the below tests'
test_save_load_with_extra_files (jit.test_save_load.TestSaveLoadFlatbuffer)
Check that parameters, buffers, and submodules are the same after loading. ... skipped 'Need to enable flatbuffer to run the below tests'
test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoadFlatbuffer)
Even if a NamedTuple is only used as an input argument, saving and ... skipped 'Need to enable flatbuffer to run the below tests'
test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoadFlatbuffer)
Even if a NamedTuple is only used as an output argument, saving and ... skipped 'Need to enable flatbuffer to run the below tests'
test_versioned_div_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... Falsifying explicit example: test_versioned_div_scalar(
    sample_input=(2, 3, 2.0, 3.0),
    self=<jit.test_save_load_for_op_version.TestSaveLoadForOpVersion testMethod=test_versioned_div_scalar>,
)
skipped 'Failed to load fixture!'
test_versioned_div_scalar_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_div_scalar_reciprocal (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_div_scalar_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_div_tensor (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_div_tensor_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_div_tensor_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_linspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_linspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_logspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_versioned_logspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok
test_add_out (test_jit.TestScript) ... ok
test_add_tuple_different_types (test_jit.TestScript) ... ok
test_add_tuple_non_optional (test_jit.TestScript) ... ok
test_add_tuple_optional (test_jit.TestScript) ... ok
test_add_tuple_same_types (test_jit.TestScript) ... ok
test_addmm_grad (test_jit.TestScript)
This test checks several things: ... ok
test_alias_covariant_type_containers (test_jit.TestScript) ... ok
test_all (test_jit.TestScript) ... ok
test_annot_ast_mypy_fn (test_jit.TestScript) ... ok
test_annot_ast_mypy_method (test_jit.TestScript) ... ok
test_annot_ast_py3_fn (test_jit.TestScript) ... ok
test_annot_ast_py3_method (test_jit.TestScript) ... ok
test_annot_string_mypy_fn (test_jit.TestScript) ... ok
test_annot_string_mypy_method (test_jit.TestScript) ... ok
test_annot_string_py3_fn (test_jit.TestScript) ... ok
test_annot_string_py3_method (test_jit.TestScript) ... ok
test_annotated_script_fn (test_jit.TestScript) ... ok
test_annotated_script_fn_arg_mismatch (test_jit.TestScript) ... ok
test_annotated_script_fn_return_mismatch (test_jit.TestScript) ... ok
test_annotated_script_method (test_jit.TestScript) ... ok
test_annoying_doubles (test_jit.TestScript) ... ok
test_any (test_jit.TestScript) ... ok
test_assert_is_scripting_metacompile (test_jit.TestScript) ... ok
test_assertion_optional_refinement (test_jit.TestScript) ... ok
test_attr_module_constants (test_jit.TestScript) ... ok
test_attr_qscheme_script (test_jit.TestScript) ... ok
test_attribute_in_init (test_jit.TestScript) ... ok
test_attribute_serialization (test_jit.TestScript) ... ok
test_attribute_unpickling (test_jit.TestScript) ... skipped 'NYI: TemporaryFileName support for Windows or Sandcastle'
test_augmented_assign (test_jit.TestScript) ... ok
test_autodiff_complex (test_jit.TestScript) ... skipped 'no CUDA'
test_backend_cudnn_enabled (test_jit.TestScript) ... ok
test_bad_multiline_annotations (test_jit.TestScript) ... ok
test_bailout_loop_carried_deps_name_clash (test_jit.TestScript) ... ok
test_bailout_loop_counter_transition (test_jit.TestScript) ... ok
test_batch_norm_inference_backward_cuda (test_jit.TestScript) ... skipped 'running tests on cuda to verify cudnn fix'
test_batchnorm_fuser_cpu (test_jit.TestScript) ... skipped 'NYI: fuser support for Sandcastle'
test_big_float_literals (test_jit.TestScript) ... ok
test_big_int_literals (test_jit.TestScript) ... ok
test_binary_op_shape (test_jit.TestScript) ... ok
test_bitwise_ops (test_jit.TestScript) ... ok
test_block_input_grad_in_loop (test_jit.TestScript) ... ok
test_bool_augassign_bitwise_and (test_jit.TestScript) ... ok
test_bool_augassign_bitwise_or (test_jit.TestScript) ... ok
test_bool_augassign_bitwise_xor (test_jit.TestScript) ... ok
test_bool_dispatch (test_jit.TestScript) ... ok
test_boolean_literal_constant_metacompile (test_jit.TestScript) ... ok
test_break_continue_error (test_jit.TestScript) ... ok
test_breaks_continues (test_jit.TestScript) ... ok
test_builtin_args (test_jit.TestScript) ... ok
test_builtin_args_fails (test_jit.TestScript) ... [W ir_emitter.cpp:4377] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[List[int], int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 10876
            @torch.jit.script
            def f6(a):
                a.expand(size=[3, [4]])
                              ~~~~~~ <--- HERE
 (function emitListLiteral)
ok
test_builtin_function_attributes (test_jit.TestScript) ... ok
test_builtin_use_as_value (test_jit.TestScript) ... ok
test_call_ge (test_jit.TestScript) ... ok
test_call_python_fn_from_script_fn (test_jit.TestScript) ... ok
test_call_python_fn_from_script_module (test_jit.TestScript) ... ok
test_call_python_fn_from_traced_module (test_jit.TestScript) ... ok
test_call_python_fn_from_tracing_fn (test_jit.TestScript) ... ok
test_call_python_mod_from_script_fn (test_jit.TestScript) ... ok
test_call_python_mod_from_script_module (test_jit.TestScript) ... ok
test_call_python_mod_from_traced_module (test_jit.TestScript) ... ok
test_call_python_mod_from_tracing_fn (test_jit.TestScript) ... ok
test_call_script_fn_from_script_fn (test_jit.TestScript) ... ok
test_call_script_fn_from_script_module (test_jit.TestScript) ... ok
test_call_script_fn_from_tracing_fn (test_jit.TestScript) ... ok
test_call_script_mod_from_script_fn (test_jit.TestScript) ... ok
test_call_script_mod_from_script_module (test_jit.TestScript) ... ok
test_call_script_mod_from_tracing_fn (test_jit.TestScript) ... skipped 'error in first class mode'
test_call_traced_fn_from_tracing_fn (test_jit.TestScript) ... ok
test_call_traced_mod_from_tracing_fn (test_jit.TestScript) ... skipped 'error in first class mode'
test_calls_in_type_annotations (test_jit.TestScript) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/__init__.py
ok
test_canonicalize_control_outputs (test_jit.TestScript) ... ok
test_cast (test_jit.TestScript) ... skipped 'RuntimeError: VariableType::ID() not implemented'
test_cat (test_jit.TestScript) ... FAIL
test_cat_lifts (test_jit.TestScript) ... ok
test_chr (test_jit.TestScript) ... ok
test_circular_dependency (test_jit.TestScript)
https://github.com/pytorch/pytorch/issues/25871 ... ok
test_class_as_attribute (test_jit.TestScript) ... ok
test_class_attribute (test_jit.TestScript) ... ok
test_class_attribute_in_script (test_jit.TestScript) ... ok
test_class_with_comment_at_lower_indentation (test_jit.TestScript) ... ok
test_code_with_constants (test_jit.TestScript)
Check that the `code_with_constants` property correctly returns graph CONSTANTS in the ... ok
test_code_with_constants_restore (test_jit.TestScript)
Check that the `code_with_constants` property correctly works on restoration after save() + load() ... ok
test_comment_ignore_indent (test_jit.TestScript) ... ok
test_compare_two_bool_inputs (test_jit.TestScript) ... ok
test_compile_module_with_constant (test_jit.TestScript) ... skipped 'test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test'
test_conditional_casting (test_jit.TestScript) ... ok
test_constant_as_attr (test_jit.TestScript) ... ok
test_constant_pooling_introduce_aliasing (test_jit.TestScript) ... ok
test_constant_pooling_none (test_jit.TestScript) ... ok
test_constant_pooling_same_identity (test_jit.TestScript) ... ok
test_context_manager (test_jit.TestScript) ... ok
test_conv_error (test_jit.TestScript) ... ok
test_convert_base (test_jit.TestScript) ... ok
test_cpp_function_tensor_str (test_jit.TestScript) ... ok
test_cpp_module_iterator (test_jit.TestScript) ... ok
test_desugar_module (test_jit.TestScript) ... ok
test_device_kwarg (test_jit.TestScript) ... ok
test_device_type (test_jit.TestScript) ... ok
test_device_type_cuda (test_jit.TestScript) ... skipped 'Requires CUDA'
test_dir (test_jit.TestScript) ... ok
test_divmod (test_jit.TestScript) ... ok
test_dominated_bailout (test_jit.TestScript) ... skipped 'bailouts are being deprecated'
test_dropout_eval (test_jit.TestScript) ... ok
test_dropout_script (test_jit.TestScript) ... ok
test_dtype_attr (test_jit.TestScript) ... ok
test_dtype_op_shape (test_jit.TestScript) ... ok
test_dtype_op_shape2 (test_jit.TestScript) ... ok
test_early_return_closure (test_jit.TestScript) ... ok
test_early_return_fork_join (test_jit.TestScript) ... ok
test_early_return_rewrite (test_jit.TestScript) ... ok
test_early_return_type_refinement (test_jit.TestScript) ... ok
test_early_returns_loops (test_jit.TestScript) ... ok
test_ellipsis_const_end (test_jit.TestScript) ... ok
test_ellipsis_const_mid (test_jit.TestScript) ... ok
test_ellipsis_const_mid_select (test_jit.TestScript) ... ok
test_ellipsis_const_start (test_jit.TestScript) ... ok
test_ellipsis_end (test_jit.TestScript) ... ok
test_ellipsis_mid (test_jit.TestScript) ... ok
test_ellipsis_mid_select (test_jit.TestScript) ... ok
test_ellipsis_start (test_jit.TestScript) ... ok
test_embedding_renorm_grad_error (test_jit.TestScript) ... ok
test_empty_like_memory_format_bc (test_jit.TestScript) ... ok
test_empty_tuple_str (test_jit.TestScript) ... ok
test_enumerate_modlist_range (test_jit.TestScript) ... ok
test_erase_number_types (test_jit.TestScript) ... ok
test_error (test_jit.TestScript) ... ok
test_error_stacktrace (test_jit.TestScript) ... ok
test_error_stacktrace_interface (test_jit.TestScript) ... ok
test_eval_python (test_jit.TestScript) ... ok
test_exception_exits_closure (test_jit.TestScript) ... ok
test_exceptions_with_control_flow (test_jit.TestScript) ... ok
test_expand (test_jit.TestScript) ... ok
test_fibb (test_jit.TestScript) ... ok
test_fibb_totally_better (test_jit.TestScript) ... ok
test_file_format_serialization (test_jit.TestScript) ... ok
test_file_line_error (test_jit.TestScript) ... ok
test_file_line_error_class_defn (test_jit.TestScript) ... ok
test_file_line_graph (test_jit.TestScript) ... ok
test_file_line_save_load (test_jit.TestScript) ... ok
test_file_line_string (test_jit.TestScript) ... ok
test_file_line_trace (test_jit.TestScript) ... ok
test_filecheck (test_jit.TestScript) ... ok
test_filecheck_parse (test_jit.TestScript) ... ok
test_first_class_calls (test_jit.TestScript) ... ok
test_first_class_module (test_jit.TestScript) ... ok
test_floor_div (test_jit.TestScript) ... ok
test_floordiv (test_jit.TestScript) ... ok
test_for_else (test_jit.TestScript) ... ok
test_for_in_dict (test_jit.TestScript) ... ok
test_for_in_enumerate (test_jit.TestScript) ... ok
test_for_in_range (test_jit.TestScript) ... ok
test_for_in_range_ast (test_jit.TestScript) ... ok
test_for_in_range_dynamic (test_jit.TestScript) ... ok
test_for_in_range_if_ast (test_jit.TestScript) ... ok
test_for_in_range_start_end (test_jit.TestScript) ... ok
test_for_in_range_start_end_step (test_jit.TestScript) ... ok
test_for_in_range_zero_step (test_jit.TestScript) ... ok
test_for_in_string (test_jit.TestScript) ... ok
test_for_in_tensors (test_jit.TestScript) ... ok
test_for_in_tensors_fail_scalar (test_jit.TestScript) ... ok
test_for_in_tensors_nested (test_jit.TestScript) ... ok
test_for_in_tensors_rank0 (test_jit.TestScript) ... ok
test_for_in_zip (test_jit.TestScript) ... ok
test_for_in_zip_enumerate (test_jit.TestScript) ... ok
test_for_tuple_assign (test_jit.TestScript) ... ok
test_for_tuple_unpack (test_jit.TestScript) ... ok
test_format (test_jit.TestScript) ... ok
test_func_call (test_jit.TestScript) ... ok
test_function_compilation_caching (test_jit.TestScript) ... ok
test_function_overload_misuse (test_jit.TestScript) ... ok
test_function_overloading_isinstance (test_jit.TestScript) ... ok
test_function_overloads (test_jit.TestScript) ... ok
test_fuser_double_float_codegen (test_jit.TestScript) ... skipped 'NYI: fuser support for Sandcastle'
test_fuser_double_literal_precision (test_jit.TestScript) ... skipped 'NYI: fuser support for Sandcastle'
test_fuser_multiple_blocks (test_jit.TestScript) ... ok
test_gather_dynamic_index (test_jit.TestScript) ... ok
test_generic_list_errors (test_jit.TestScript) ... ok
test_get_set_state (test_jit.TestScript) ... skipped 'NYI: TemporaryFileName support for Windows or Sandcastle'
test_get_set_state_with_tensors (test_jit.TestScript) ... ok
test_grad_from_script (test_jit.TestScript) ... ok
test_hash (test_jit.TestScript) ... ok
test_hex_literals (test_jit.TestScript) ... ok
test_id (test_jit.TestScript) ... ok
test_if (test_jit.TestScript) ... ok
test_if_define (test_jit.TestScript) ... ok
test_if_different_type (test_jit.TestScript) ... ok
test_if_for_in_range (test_jit.TestScript) ... ok
test_if_is_none_dispatch (test_jit.TestScript) ... ok
test_if_list_cat (test_jit.TestScript) ... ok
test_if_nest_while (test_jit.TestScript) ... ok
test_if_noelse (test_jit.TestScript) ... ok
test_if_not_defined_error (test_jit.TestScript) ... ok
test_if_supertype (test_jit.TestScript) ... ok
test_ignore_decorator (test_jit.TestScript) ... ok
test_ignored_as_value (test_jit.TestScript) ... ok
test_ignored_method_binding (test_jit.TestScript) ... ok
test_ignored_props (test_jit.TestScript) ... ok
test_import_constants_not_specialized (test_jit.TestScript) ... ok
test_in_for_and_comp_expr (test_jit.TestScript) ... ok
test_in_operator_with_two_strings (test_jit.TestScript) ... ok
test_index (test_jit.TestScript) ... ok
test_index_select_shape_prop (test_jit.TestScript) ... ok
test_index_with_tuple (test_jit.TestScript) ... ok
test_indexing_error (test_jit.TestScript) ... ok
test_infer_size (test_jit.TestScript) ... ok
test_inferred_error_msg (test_jit.TestScript)
Test that when we get a type mismatch on a function where we inferred ... ok
test_inherit_method (test_jit.TestScript) ... ok
test_inline_and_run_annotated_script_fn (test_jit.TestScript) ... skipped 'https://github.com/pytorch/pytorch/issues/9595'
test_inlined_graph (test_jit.TestScript)
Check that the `inlined_graph` property correctly returns an inlined ... ok
test_inlining_cleanup (test_jit.TestScript) ... ok
test_inplace_add (test_jit.TestScript) ... ok
test_inplace_copy_script (test_jit.TestScript) ... ok
test_input_keyword_in_schema (test_jit.TestScript) ... ok
test_int_cast (test_jit.TestScript) ... ok
test_integral_shape_inference (test_jit.TestScript) ... ok
test_interpret_graph (test_jit.TestScript) ... ok
test_interpreter_fuzz (test_jit.TestScript) ... ok
test_intlist_args (test_jit.TestScript) ... ok
test_invalid_call_arguments (test_jit.TestScript) ... ok
test_invalid_lhs_assignment (test_jit.TestScript) ... ok
test_invalid_prefix_annotation (test_jit.TestScript) ... ok
test_irparser (test_jit.TestScript) ... ok
test_is_after_use (test_jit.TestScript) ... ok
test_is_isnot (test_jit.TestScript) ... <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
ok
test_is_optional (test_jit.TestScript) ... ok
test_is_scripting (test_jit.TestScript) ... ok
test_is_scripting_metacompile (test_jit.TestScript) ... ok
test_isinstance (test_jit.TestScript) ... ok
test_isinstance_dynamic (test_jit.TestScript) ... ok
test_isinstance_metacompile (test_jit.TestScript) ... ok
test_isinstance_refinement (test_jit.TestScript) ... ok
test_jitter_bug (test_jit.TestScript) ... ok
test_keyword (test_jit.TestScript) ... ok
test_kwarg_expansion_error (test_jit.TestScript) ... ok
test_kwargs_error_msg (test_jit.TestScript) ... ok
test_lazy_script (test_jit.TestScript) ... ok
test_lhs_advanced_indexing_assignment (test_jit.TestScript) ... ok
test_lhs_advanced_indexing_augmented_assignment (test_jit.TestScript) ... ok
test_lhs_indexing (test_jit.TestScript) ... ok
test_lhs_indexing_increment (test_jit.TestScript) ... ok
test_lhs_indexing_increment_list (test_jit.TestScript) ... ok
test_lhs_indexing_increment_list_prim (test_jit.TestScript) ... ok
test_lhs_indexing_list (test_jit.TestScript) ... ok
test_lhs_indexing_multi (test_jit.TestScript) ... ok
test_linear_grad (test_jit.TestScript) ... ok
test_list_comprehension_modulelist (test_jit.TestScript) ... ok
test_list_comprehension_variable_write (test_jit.TestScript) ... ok
test_list_iterables (test_jit.TestScript) ... ok
test_list_python_op (test_jit.TestScript) ... ok
test_list_unify (test_jit.TestScript) ... ok
test_literal (test_jit.TestScript) ... ok
test_literals (test_jit.TestScript) ... ok
test_logical_short_circuit (test_jit.TestScript) ... ok
test_loop_liveness (test_jit.TestScript) ... ok
test_loop_unroll_negative (test_jit.TestScript) ... ok
test_loop_unroll_unused_counter (test_jit.TestScript) ... ok
test_loop_unrolling (test_jit.TestScript) ... ok
test_loop_unrolling_const (test_jit.TestScript) ... ok
test_loop_unrolling_nested (test_jit.TestScript) ... ok
test_lower_nested_tuples (test_jit.TestScript) ... ok
test_math_ops (test_jit.TestScript) ... ok
test_maxpool_guard_elimination (test_jit.TestScript) ... skipped 'bailouts are being deprecated'
test_meshgrid (test_jit.TestScript) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/aten/src/ATen/native/TensorShape.cpp:3190.)
  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
ok
test_method_casts_script (test_jit.TestScript) ... ok
test_method_no_self (test_jit.TestScript) ... ok
test_method_overloading (test_jit.TestScript) ... ok
test_missing_getstate (test_jit.TestScript) ... ok
test_mm_batching (test_jit.TestScript) ... ERROR
test_module_apis (test_jit.TestScript) ... ok
test_module_attrs (test_jit.TestScript) ... ok
test_module_copy_with_attributes (test_jit.TestScript) ... ok
test_module_copying (test_jit.TestScript) ... ok
test_module_error (test_jit.TestScript) ... ok
test_module_method_reassignment (test_jit.TestScript) ... ok
test_module_none_attrs (test_jit.TestScript) ... ok
test_module_parameters_and_buffers (test_jit.TestScript) ... ok
test_module_str (test_jit.TestScript) ... ok
test_module_with_params_called_fails (test_jit.TestScript) ... ok
test_multi_reduction (test_jit.TestScript) ... ok
test_multi_starred_expr_lhs (test_jit.TestScript) ... ok
test_multiline_annot_ast_py3_fn (test_jit.TestScript) ... ok
test_multiline_optional_future_refinement (test_jit.TestScript) ... ok
test_multiline_string_dedents (test_jit.TestScript) ... ok
test_multiple_assign (test_jit.TestScript) ... ok
test_multiple_assignment (test_jit.TestScript) ... ok
test_mutable_dce (test_jit.TestScript) ... ok
test_mutable_dce_block (test_jit.TestScript) ... ok
test_mutable_dce_graph_input (test_jit.TestScript) ... ok
test_mutable_dce_indirect_wildcard_write (test_jit.TestScript) ... ok
test_mutable_dce_indirect_wildcards (test_jit.TestScript) ... ok
test_mutable_dce_list (test_jit.TestScript) ... ok
test_mutable_dce_loop (test_jit.TestScript) ... ok
test_mutable_dce_wildcards (test_jit.TestScript) ... ok
test_mutate_constant (test_jit.TestScript) ... ok
test_mypy_type_ignore (test_jit.TestScript) ... ok
test_named_buffers_are_iterable (test_jit.TestScript) ... ok
test_namedtuple_attr (test_jit.TestScript) ... ok
test_namedtuple_default_values_Tensor_type (test_jit.TestScript) ... ok
test_namedtuple_default_values_container_type (test_jit.TestScript) ... ok
test_namedtuple_default_values_missing (test_jit.TestScript) ... ok
test_namedtuple_default_values_simple_type (test_jit.TestScript) ... ok
test_namedtuple_default_values_using_factory_constructor (test_jit.TestScript) ... ok
test_namedtuple_python (test_jit.TestScript) ... ok
test_namedtuple_type_inference (test_jit.TestScript) ... ok
test_narrow_copy (test_jit.TestScript) ... ok
test_nested_aug_assign (test_jit.TestScript) ... ok
test_nested_bailouts (test_jit.TestScript) ... ok
test_nested_breaks (test_jit.TestScript) ... ok
test_nested_list_construct (test_jit.TestScript) ... ok
test_nested_select_assign (test_jit.TestScript) ... ok
test_nn_GRU (test_jit.TestScript) ... ok
test_nn_LSTM (test_jit.TestScript) ... ok
test_nn_LSTM_with_layers (test_jit.TestScript) ... ok
test_nn_init (test_jit.TestScript) ... ok
test_no_dtype_shape (test_jit.TestScript) ... ok
test_no_self_arg_ignore_function (test_jit.TestScript) ... ok
test_non_final_return (test_jit.TestScript) ... ok
test_none_type_str (test_jit.TestScript) ... ok
test_not (test_jit.TestScript) ... ok
test_not_initialized_err (test_jit.TestScript) ... ok
test_ntuple_builtins (test_jit.TestScript) ... ok
test_number_abs (test_jit.TestScript) ... ok
test_number_augassign (test_jit.TestScript) ... ok
test_number_augassign_bitwise_lshift (test_jit.TestScript) ... ok
test_number_augassign_bitwise_pow (test_jit.TestScript) ... ok
test_number_augassign_bitwise_rshift (test_jit.TestScript) ... ok
test_number_div (test_jit.TestScript) ... ok
test_number_math (test_jit.TestScript) ... ok
test_number_neg (test_jit.TestScript) ... ok
test_old_models_bc (test_jit.TestScript) ... skipped 'NYI: TemporaryFileName support for Windows or Sandcastle'
test_oneline_func (test_jit.TestScript) ... ok
test_op_dtype (test_jit.TestScript) ... ok
test_operator_precedence (test_jit.TestScript) ... ok
test_optional_list (test_jit.TestScript) ... FAIL
test_optional_tensor (test_jit.TestScript) ... FAIL
test_ord (test_jit.TestScript) ... ok
test_override_magic (test_jit.TestScript) ... ok
test_pack_padded_pad_packed_trace (test_jit.TestScript) ... /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py:9793: FutureWarning: 'torch.onnx._export' is deprecated in version 1.12.0 and will be removed in version 1.14. Please use `torch.onnx.export` instead.
  torch.onnx._export(m, (x, seq_lens), f, verbose=False)
/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/onnx/_internal/jit_utils.py:258: UserWarning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (Triggered internally at /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/torch/csrc/jit/passes/onnx/shape_type_inference.cpp:1884.)
  _C._jit_pass_onnx_node_shape_type_inference(node, params_dict, opset_version)
/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/onnx/_internal/jit_utils.py:258: UserWarning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (Triggered internally at /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/torch/csrc/jit/passes/onnx/shape_type_inference.cpp:1884.)
  _C._jit_pass_onnx_node_shape_type_inference(node, params_dict, opset_version)
ok
test_pack_tuple_into_non_var (test_jit.TestScript) ... ok
test_pack_unpack_nested (test_jit.TestScript) ... ok
test_pack_unpack_state (test_jit.TestScript) ... ok
test_parameter_order (test_jit.TestScript) ... tensor([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,
        14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
        28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,
        42., 43., 44., 45., 46., 47., 48., 49., 50., 51.],
       grad_fn=<CatBackward0>)
tensor([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,
        14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
        28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,
        42., 43., 44., 45., 46., 47., 48., 49., 50., 51.],
       grad_fn=<CatBackward0>)
ok
test_parse_empty_tuple_annotation (test_jit.TestScript) ... ok
test_parse_empty_tuple_annotation_element_error (test_jit.TestScript) ... ok
test_parse_nested_names (test_jit.TestScript) ... ok
test_parse_none_type_annotation (test_jit.TestScript) ... ok
test_parse_tensor_constants (test_jit.TestScript) ... ok
test_parser_kwargonly (test_jit.TestScript) ... ok
test_parser_type_annotations (test_jit.TestScript) ... ok
test_parser_type_annotations_comment (test_jit.TestScript) ... ok
test_parser_type_annotations_incompatible_expression (test_jit.TestScript) ... ok
test_parser_type_annotations_subscript_non_ident (test_jit.TestScript) ... ok
test_parser_type_annotations_subscript_tensor (test_jit.TestScript) ... ok
test_parser_type_annotations_unknown_type (test_jit.TestScript) ... ok
test_partial_returns (test_jit.TestScript) ... ok
test_pass (test_jit.TestScript) ... ok
test_pickle_checkpoint (test_jit.TestScript) ... ok
test_pickle_checkpoint_cuda (test_jit.TestScript) ... skipped 'no CUDA'
test_pickle_checkpoint_tup (test_jit.TestScript) ... ok
test_pow_scalar_backward_cuda (test_jit.TestScript) ... skipped 'device tests require CUDA'
test_pretty_print_function (test_jit.TestScript) ... ok
test_prim_grad_undefined (test_jit.TestScript) ... FAIL
test_print (test_jit.TestScript) ... ok
test_print_kwargs (test_jit.TestScript) ... ok
test_profiling_graph_executor (test_jit.TestScript) ... skipped 'bailouts are being deprecated'
test_profiling_merge (test_jit.TestScript) ... skipped "skip if profiling isn't enabled"
test_pybind_type_comparisons (test_jit.TestScript) ... ok
test_python_call (test_jit.TestScript) ... ok
test_python_call_annotation (test_jit.TestScript) ... ok
test_python_call_annoytation_failure (test_jit.TestScript) ... ok
test_python_call_failure (test_jit.TestScript) ... ok
test_python_call_non_tensor (test_jit.TestScript) ... ok
test_python_call_non_tensor_wrong (test_jit.TestScript) ... ok
test_python_frontend (test_jit.TestScript) ... ok
test_python_frontend_py3 (test_jit.TestScript) ... ok
test_python_frontend_source_range (test_jit.TestScript) ... ok
test_python_op_builtins (test_jit.TestScript) ... ok
test_python_op_name (test_jit.TestScript) ... ok
test_python_val_doesnt_have_attr (test_jit.TestScript) ... ok
test_rand (test_jit.TestScript) ... ERROR
test_rand_profiling (test_jit.TestScript) ... skipped 'the profiling version of test_rand'
test_range_args (test_jit.TestScript) ... ok
test_reassign_module_lhs (test_jit.TestScript) ... ok
test_reassign_module_rhs (test_jit.TestScript) ... ok
test_refine_tuple_types (test_jit.TestScript) ... ok
test_remove_dropout (test_jit.TestScript) ... ok
test_repeated_script_on_function (test_jit.TestScript) ... ok
test_request_bailout (test_jit.TestScript) ... ERROR
test_requires_grad_loop (test_jit.TestScript) ... FAIL
test_rescripting_loaded_modules (test_jit.TestScript) ... ok
test_resize_input_ops (test_jit.TestScript) ... ok
test_return (test_jit.TestScript) ... ok
test_return_stmt_not_at_end (test_jit.TestScript) ... ok
test_return_tuple (test_jit.TestScript) ... ok
test_rnn_trace_override (test_jit.TestScript) ... ok
test_robust_op_resolution (test_jit.TestScript) ... ok
test_round (test_jit.TestScript) ... ok
test_save_load_attr_error (test_jit.TestScript) ... ok
test_script_annotation (test_jit.TestScript) ... ok
test_script_bool_constant (test_jit.TestScript) ... ok
test_script_chunk (test_jit.TestScript) ... ok
test_script_clamp_none (test_jit.TestScript) ... ok
test_script_copy (test_jit.TestScript) ... ok
test_script_cu (test_jit.TestScript) ... ok
test_script_define_order (test_jit.TestScript) ... ok
test_script_define_order_recursive_fail (test_jit.TestScript) ... ok
test_script_docstring (test_jit.TestScript) ... ok
test_script_forward_method_replacement (test_jit.TestScript) ... ok
test_script_get_device_cuda (test_jit.TestScript) ... skipped 'requires CUDA'
test_script_get_tracing_state (test_jit.TestScript) ... ok
test_script_is_tracing (test_jit.TestScript) ... ok
test_script_kwargs_fn_call (test_jit.TestScript) ... ok
test_script_method_docstring (test_jit.TestScript) ... ok
test_script_method_torch_function_overload (test_jit.TestScript) ... ok
test_script_module (test_jit.TestScript) ... ok
test_script_module_call_noscript (test_jit.TestScript) ... ok
test_script_module_const (test_jit.TestScript) ... ok
test_script_module_const_submodule_fail (test_jit.TestScript) ... ok
test_script_module_export_blocks (test_jit.TestScript) ... ok
test_script_module_export_shared_storage (test_jit.TestScript) ... ok
test_script_module_export_submodule (test_jit.TestScript) ... ok
test_script_module_export_tensor_cuda (test_jit.TestScript) ... skipped 'testing cuda tensors require CUDA'
test_script_module_export_tensor_type (test_jit.TestScript) ... ok
test_script_module_fail_exist (test_jit.TestScript) ... ok
test_script_module_for (test_jit.TestScript) ... ok
test_script_module_for2 (test_jit.TestScript) ... ok
test_script_module_invalid_consts (test_jit.TestScript) ... ok
test_script_module_nochange_submodule (test_jit.TestScript) ... ok
test_script_module_none_exist_fail (test_jit.TestScript) ... skipped "[module dedupe] currently NoneType refinement on optional attributes doesn't work."
test_script_module_not_tuple (test_jit.TestScript) ... ok
test_script_module_param_buffer_mutation (test_jit.TestScript) ... ok
test_script_module_star_assign2 (test_jit.TestScript) ... ok
test_script_module_star_assign2_inplace (test_jit.TestScript) ... ok
test_script_module_star_assign_fail_builtin (test_jit.TestScript) ... ok
test_script_module_star_assign_fail_pythonop (test_jit.TestScript) ... ok
test_script_module_tensor_subclass_argument (test_jit.TestScript) ... ok
test_script_nested_mod_list (test_jit.TestScript) ... ok
test_script_non_tensor_args_outputs (test_jit.TestScript) ... ok
test_script_optional_none (test_jit.TestScript) ... ok
test_script_outputs (test_jit.TestScript) ... ok
test_script_pack_padded_sequence (test_jit.TestScript) ... ok
test_script_pad_sequence_pack_sequence (test_jit.TestScript) ... ok
test_script_scope (test_jit.TestScript) ... ok
test_script_sequential_for (test_jit.TestScript) ... ok
test_script_sequential_in_mod_list (test_jit.TestScript) ... ok
test_script_sequential_multi_output_fail (test_jit.TestScript) ... ok
test_script_sequential_orderdict (test_jit.TestScript) ... ok
test_script_sequential_sliced_iteration (test_jit.TestScript) ... ok
test_script_star_assign (test_jit.TestScript) ... ok
test_script_star_expr (test_jit.TestScript) ... ok
test_script_star_expr_string (test_jit.TestScript) ... ok
test_scriptable_fn_as_attr (test_jit.TestScript) ... ok
test_scriptmodule_multi_head_attn_cuda (test_jit.TestScript) ... skipped 'no CUDA'
test_scriptmodule_releases_tensors_cuda (test_jit.TestScript) ... skipped 'no CUDA'
test_scriptmodule_transformer_cuda (test_jit.TestScript) ... skipped 'no CUDA'
test_select_after_chunk (test_jit.TestScript) ... ok
test_sequence_parsing (test_jit.TestScript) ... ok
test_sequential_intermediary_types (test_jit.TestScript) ... ok
test_serialization_big_ints (test_jit.TestScript) ... ok
test_serialization_sharing (test_jit.TestScript) ... ok
test_serialize_long_lines (test_jit.TestScript) ... ok
test_serialized_source_ranges (test_jit.TestScript) ... ok
test_serialized_source_ranges2 (test_jit.TestScript) ... ok
test_serialized_source_ranges_dont_jitter (test_jit.TestScript) ... ok
test_serialized_source_ranges_graph (test_jit.TestScript) ... ok
test_serialized_source_ranges_no_dups (test_jit.TestScript) ... ok
test_set_attribute_through_optional (test_jit.TestScript) ... ok
test_shape_analysis_grad_property (test_jit.TestScript) ... ok
test_shape_analysis_loop (test_jit.TestScript) ... ok
test_shape_prop_promote_scalar_arg (test_jit.TestScript) ... ok
test_shape_prop_promotion (test_jit.TestScript) ... ok
test_signed_float_zero (test_jit.TestScript) ... ok
test_single_starred_expr_for_loop (test_jit.TestScript) ... ok
test_single_starred_lhs (test_jit.TestScript) ... ok
test_singleton_tuple_unpack (test_jit.TestScript) ... ok
test_slice_guard_elimination (test_jit.TestScript) ... skipped 'bailouts are being deprecated'
test_split (test_jit.TestScript) ... ok
test_stack (test_jit.TestScript) ... FAIL
test_static_if_prop (test_jit.TestScript) ... ok
test_static_method_on_module (test_jit.TestScript)
Check that the `@staticmethod` annotation on a function on a module works. ... ok
test_static_methods (test_jit.TestScript) ... ok
test_str_cast (test_jit.TestScript) ... ok
test_string_cu (test_jit.TestScript) ... ok
test_string_device_implicit_conversion (test_jit.TestScript) ... ok
test_string_frontend_elif (test_jit.TestScript) ... ok
test_string_index (test_jit.TestScript) ... ok
test_string_len (test_jit.TestScript) ... ok
test_string_list (test_jit.TestScript) ... ok
test_string_new_line (test_jit.TestScript) ... ok
test_string_ops (test_jit.TestScript) ... ok
test_string_print (test_jit.TestScript) ... ok
test_string_single_escape (test_jit.TestScript) ... ok
test_string_slicing (test_jit.TestScript) ... ok
test_string_sort (test_jit.TestScript) ... ok
test_string_sorted (test_jit.TestScript) ... ok
test_submodule_attribute_serialization (test_jit.TestScript) ... ok
test_submodule_twice (test_jit.TestScript) ... ok
test_sum (test_jit.TestScript) ... ok
test_sum_list_diff_elms (test_jit.TestScript) ... ok
test_sum_list_empty (test_jit.TestScript) ... ok
test_sum_list_literal (test_jit.TestScript) ... ok
test_sum_list_one (test_jit.TestScript) ... ok
test_sum_list_wrong_type (test_jit.TestScript) ... ok
test_sys_stdout_override (test_jit.TestScript) ... ok
test_tensor_as_tensor_shape_prop (test_jit.TestScript) ... ERROR
test_tensor_data (test_jit.TestScript) ... ok
test_tensor_device (test_jit.TestScript) ... skipped 'device tests require CUDA'
test_tensor_dtype (test_jit.TestScript) ... ok
test_tensor_grad (test_jit.TestScript) ... ok
test_tensor_import_export (test_jit.TestScript) ... ok
test_tensor_len (test_jit.TestScript) ... ok
test_tensor_number_math (test_jit.TestScript) ... ok
test_tensor_number_math_cuda (test_jit.TestScript) ... skipped 'No CUDA'
test_tensor_requires_grad (test_jit.TestScript) ... FAIL
test_tensor_shape (test_jit.TestScript) ... ok
test_tensor_subclasses (test_jit.TestScript) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either.
  warnings.warn("TorchScript will treat type annotations of Tensor "
ok
test_tensor_to (test_jit.TestScript) ... ok
test_tensor_to_cpu (test_jit.TestScript) ... ok
test_tensor_to_cuda (test_jit.TestScript) ... skipped 'device tests require CUDA'
test_tensor_to_device (test_jit.TestScript) ... skipped 'device tests require CUDA'
test_ternary (test_jit.TestScript) ... ok
test_ternary_module_type_hint (test_jit.TestScript) ... ok
test_ternary_right_associative (test_jit.TestScript) ... ok
test_ternary_static_if (test_jit.TestScript) ... ok
test_torch_any (test_jit.TestScript) ... ok
test_torch_functional (test_jit.TestScript) ... skipped 'PyTorch is built without MKL support'
test_torch_functional_tensordot_int (test_jit.TestScript) ... ok
test_torch_functional_tensordot_list (test_jit.TestScript) ... ok
test_torch_functional_tensordot_tensor (test_jit.TestScript) ... ok
test_torch_functional_tensordot_tuple (test_jit.TestScript) ... ok
test_torch_ignore_conversion_to_none (test_jit.TestScript) ... ok
test_torch_manual_seed (test_jit.TestScript) ... ok
test_torch_pow (test_jit.TestScript) ... ok
test_torch_tensor_as_tensor (test_jit.TestScript) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:471: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/aten/src/ATen/native/Copy.cpp:250.)
  return callable(*args, **kwargs)
ok
test_torch_tensor_as_tensor_empty_list (test_jit.TestScript) ... ok
test_torch_tensor_bad_input (test_jit.TestScript) ... ok
test_torch_tensor_dtype (test_jit.TestScript) ... ERROR
test_torchscript_memoryformat (test_jit.TestScript) ... ok
test_torchscript_multi_head_attn (test_jit.TestScript) ... ok
test_torchscript_multi_head_attn_fast_path (test_jit.TestScript) ... ok
test_training_param (test_jit.TestScript) ... ok
test_tuple_assignments (test_jit.TestScript) ... ok
test_tuple_error_msg (test_jit.TestScript) ... ok
test_tuple_index_to_list (test_jit.TestScript) ... ok
test_tuple_indexing (test_jit.TestScript) ... ok
test_tuple_len (test_jit.TestScript) ... ok
test_tuple_nested_sort (test_jit.TestScript) ... ok
test_tuple_sort (test_jit.TestScript) ... ok
test_tuple_sort_reverse (test_jit.TestScript) ... ok
test_tuple_sorted (test_jit.TestScript) ... ok
test_tuple_to_opt_list (test_jit.TestScript) ... ok
test_tuple_unsortable_diff_type (test_jit.TestScript) ... ok
test_tuple_unsortable_element_type (test_jit.TestScript) ... ok
test_tuple_unsortable_nested_diff_type (test_jit.TestScript) ... ok
test_type_annotate (test_jit.TestScript) ... ok
test_type_annotation_module (test_jit.TestScript) ... ok
test_type_annotation_py3 (test_jit.TestScript) ... ok
test_type_annotations (test_jit.TestScript) ... ok
test_type_annotations_repeated_list (test_jit.TestScript) ... ok
test_type_annotations_varargs (test_jit.TestScript) ... ok
test_type_call_in_script (test_jit.TestScript) ... ok
test_type_cast (test_jit.TestScript) ... ok
test_type_comments_in_body (test_jit.TestScript) ... ok
test_type_inferred_from_empty_annotation (test_jit.TestScript)
Test that the type inferred from an empty or missing annotation is Torch.Tensor wtih `inferred=true` ... ok
test_unbind (test_jit.TestScript) ... ok
test_unfold_zero_dim (test_jit.TestScript) ... ok
test_unicode_comments (test_jit.TestScript) ... ok
test_uninitialized (test_jit.TestScript) ... ok
test_union_to_number (test_jit.TestScript) ... ok
test_unknown_builtin (test_jit.TestScript) ... ok
test_unmatched_type_annotation (test_jit.TestScript) ... ok
test_unspecialized_any_binding (test_jit.TestScript) ... skipped 'bug persists in deprecated executor'
test_unsqueeze_guard_elimination (test_jit.TestScript) ... skipped 'bailouts are being deprecated'
test_unsupported_builtin_error (test_jit.TestScript) ... ok
test_unused_decorator (test_jit.TestScript) ... ok
test_unwrap_optional_builtin (test_jit.TestScript) ... ok
test_var_aug_assign (test_jit.TestScript) ... ok
test_vararg_zeros (test_jit.TestScript) ... ok
test_view_listconstruct_shape_prop (test_jit.TestScript) ... ok
test_view_shape_prop (test_jit.TestScript) ... ok
test_view_write (test_jit.TestScript) ... ok
test_weak_cuda (test_jit.TestScript) ... skipped 'no CUDA'
test_where (test_jit.TestScript) ... ok
test_where_method (test_jit.TestScript) ... ok
test_while (test_jit.TestScript) ... ok
test_while_nest_if (test_jit.TestScript) ... ok
test_while_nonexistent_cond_value (test_jit.TestScript) ... ok
test_while_nonexistent_value (test_jit.TestScript) ... ok
test_while_write_outer_then_read (test_jit.TestScript) ... ok
test_wrong_attr_lookup (test_jit.TestScript) ... ok
test_wrong_implicit_expand (test_jit.TestScript) ... ok
test_wrong_method_call_inputs (test_jit.TestScript) ... ok
test_wrong_module_attr_lookup (test_jit.TestScript) ... ok
test_wrong_return_type (test_jit.TestScript) ... ok
test_wrong_use_as_callable (test_jit.TestScript) ... ok
test_wrong_use_as_tuple (test_jit.TestScript) ... ok
test_zeros (test_jit.TestScript) ... ok
test_zip_enumerate_modulelist (test_jit.TestScript) ... ok
test_bool (jit.test_list_dict.TestScriptDict)
Test the __bool__ method. This should return True ... ok
test_contains (jit.test_list_dict.TestScriptDict)
Test membership checks (x in y, x not in y). ... ok
test_delitem (jit.test_list_dict.TestScriptDict)
Test deletion. ... ok
test_getitem (jit.test_list_dict.TestScriptDict)
Test accessing dictionary values using the [] operator. ... ok
test_items (jit.test_list_dict.TestScriptDict)
Test .items(). ... ok
test_iter (jit.test_list_dict.TestScriptDict)
Test iteration over a dictionary's keys. ... ok
test_len (jit.test_list_dict.TestScriptDict)
Test len() builtin function. ... ok
test_nested (jit.test_list_dict.TestScriptDict)
Test that reference semantics are honoured when the ScriptDict that is ... skipped 'Cannot pass until all dicts returned from TorchScript are ScriptDicts'
test_reference_semantics (jit.test_list_dict.TestScriptDict)
Test that reference semantics are honoured; that modifications made ... ok
test_repr (jit.test_list_dict.TestScriptDict)
Test the __repr__ method. ... ok
test_setitem (jit.test_list_dict.TestScriptDict)
Test setting dictionary values using the [] operator. ... ok
test_append (jit.test_list_dict.TestScriptList)
Test append method. ... ok
test_bool (jit.test_list_dict.TestScriptList)
Test the __bool__ method. This should return True ... ok
test_clear (jit.test_list_dict.TestScriptList)
Test clear. ... ok
test_contains (jit.test_list_dict.TestScriptList)
Test membership checks (x in y, x not in y). ... ok
test_count (jit.test_list_dict.TestScriptList)
Test count method. ... ok
test_delitem (jit.test_list_dict.TestScriptList)
Test deletion. ... ok
test_extend (jit.test_list_dict.TestScriptList)
Test extend. ... ok
test_getitem (jit.test_list_dict.TestScriptList)
Test accessing list elements using the [] operator. ... ok
test_insert (jit.test_list_dict.TestScriptList)
Test insert. ... ok
test_iter (jit.test_list_dict.TestScriptList)
Test iteration over a list's elements. ... ok
test_len (jit.test_list_dict.TestScriptList)
Test len() builtin function. ... ok
test_nested (jit.test_list_dict.TestScriptList)
Test that reference semantics are honoured when the ScriptList that is ... skipped 'Cannot pass until all list returned from TorchScript are ScriptLists'
test_pop (jit.test_list_dict.TestScriptList)
Test pop. ... ok
test_reference_semantics (jit.test_list_dict.TestScriptList)
Test that reference semantics are honoured; that modifications made ... ok
test_remove (jit.test_list_dict.TestScriptList)
Test remove method. ... ok
test_repr (jit.test_list_dict.TestScriptList)
Test the __repr__ method. ... ok
test_setitem (jit.test_list_dict.TestScriptList)
Test setting list elements using the [] operator. ... ok
test_annotated_class_level_annotation_and_init_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_class_level_annotation_only (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_class_level_jit_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_empty_tensor (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_falsy_base_type (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_nonempty_container (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_with_jit_attribute (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_with_jit_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_with_jit_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_with_jit_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_annotated_with_torch_jit_import (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok
test_basic (jit.test_script_profile.TestScriptProfile) ... ok
test_empty (jit.test_script_profile.TestScriptProfile) ... ok
test_multi (jit.test_script_profile.TestScriptProfile) ... ok
test_script (jit.test_script_profile.TestScriptProfile) ... ok
test_section (jit.test_script_profile.TestScriptProfile) ... ok
test_module_list_slicing (jit.test_slice.TestSlice) ... ok
test_slice_as_variable (jit.test_slice.TestSlice) ... ok
test_slice_dynamic_index (jit.test_slice.TestSlice) ... ok
test_slice_kwarg (jit.test_slice.TestSlice) ... ok
test_slice_one_none (jit.test_slice.TestSlice) ... ok
test_slice_start_stop (jit.test_slice.TestSlice) ... ok
test_slice_start_stop_step (jit.test_slice.TestSlice) ... ok
test_slice_start_stop_with_none (jit.test_slice.TestSlice) ... ok
test_slice_stop_clipped (jit.test_slice.TestSlice) ... ok
test_slice_stop_only (jit.test_slice.TestSlice) ... ok
test_slice_stop_only_with_nones (jit.test_slice.TestSlice) ... ok
test_slice_string (jit.test_slice.TestSlice) ... ok
test_slice_tensor (jit.test_slice.TestSlice) ... ok
test_slice_tensor_multidim (jit.test_slice.TestSlice) ... ok
test_slice_tensor_multidim_with_dots (jit.test_slice.TestSlice) ... ok
test_slice_three_nones (jit.test_slice.TestSlice) ... ok
test_slice_two_nones (jit.test_slice.TestSlice) ... ok
test_tuple_slicing (jit.test_slice.TestSlice) ... ok
test_freeze_sparse_coo (jit.test_sparse.TestSparse) ... ok
test_freeze_sparse_csr (jit.test_sparse.TestSparse) ... skipped 'Need MKL to run CSR matmul'
test_serialize_sparse_coo (jit.test_sparse.TestSparse) ... ok
test_serialize_sparse_csr (jit.test_sparse.TestSparse) ... skipped 'Need MKL to run CSR matmul'
test_modulo_operator (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_alternate_digit_placeholder (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_char_placeholder_and_char_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_char_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_char_placeholder_and_true_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_digit_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_digit_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_double_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_exponent_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_float_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_float_placeholder_and_float_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_multiple_placeholders (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_string_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_string_placeholder_and_format_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_string_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_subscript (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_too_few_arguments (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_too_many_arguments (jit.test_string_formatting.TestStringFormatting) ... ok
test_string_interpolation_with_unknown_format_specifier (jit.test_string_formatting.TestStringFormatting) ... ok
test_adaptive_avg_pool2d (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_arange_shape (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_binary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_binary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_convolution_backward (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_if_propagation (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_partial_eval_graph_conv (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_partial_eval_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ERROR
test_refinement_through_graph_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ERROR
test_register_function_error_checking (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_returning_input_symbolic_shapes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_shape_analysis (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_shape_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_shape_embedding_bag (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_shape_function_includes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... skipped 'shape functions not loaded in python'
test_shared_shape_graph (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_size_and_sizes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_stitching_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_stitching_multi_output (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_sym_ir_parsing (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_unary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_unary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_write (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok
test_method_on_number (jit.test_builtins.TestTensorBuiltins) ... ok
test_scalar_to_num_conversions (jit.test_builtins.TestTensorBuiltins) ... ok
test_tensor_item (jit.test_builtins.TestTensorBuiltins) ... ok
test_tensor_properties (jit.test_builtins.TestTensorBuiltins) ... ok
test_tensor_subscript_assign (jit.test_builtins.TestTensorBuiltins) ... ok
test_tensor_subscript_assign_device (jit.test_builtins.TestTensorBuiltins) ... skipped 'requires CUDA'
test_randperm_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok
test_randperm_specifed_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok
test_tril_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok
test_tril_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok
test_triu_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok
test_triu_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok
test_getitem (jit.test_tensor_methods.TestTensorMethods) ... ok
test_getitem_invalid (jit.test_tensor_methods.TestTensorMethods) ... ok
test_default_args (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_lambda_as_constructor (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_profiler_custom_op (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_staticmethod (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_attr_exception (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_class_attr_recursive (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_class_attribute (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_deepcopy (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_def_property_getter_setter (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_def_property_just_getter (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_def_property_readwrite (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_getattr (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_getstate (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_instantiate_missing_class (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_lambda_method (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_no_init (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_optional_explicit_attr (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_pass_wrong_type (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_pickle_serialization (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_python_deepcopy (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_return_instance (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_return_instance_from_method (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_return_tuple (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_save_load (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_take_as_arg (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_take_instance_as_method_arg (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_tracing (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_torchbind_tracing_nested (jit.test_torchbind.TestTorchbind) ... skipped 'non-portable load_library call used in test'
test_call_traced_fn_from_traced_module (jit.test_tracer.TestTracer) ... ok
test_call_traced_module_from_traced_module (jit.test_tracer.TestTracer) ... ok
test_canonicalize_tensor_iterator (jit.test_tracer.TestTracer) ... FAIL
test_constant (jit.test_tracer.TestTracer) ... ok
test_conv (jit.test_tracer.TestTracer) ... ok
test_export_no_reorder (jit.test_tracer.TestTracer) ... ok
test_force_outplace_check_fill (jit.test_tracer.TestTracer) ... ok
test_force_outplace_check_zero (jit.test_tracer.TestTracer) ... ok
test_ge (jit.test_tracer.TestTracer) ... ok
test_ge_cuda (jit.test_tracer.TestTracer) ... skipped 'requires CUDA'
test_ge_optimized (jit.test_tracer.TestTracer) ... skipped 'NYI: fuser support for Sandcastle'
test_ge_unoptimized (jit.test_tracer.TestTracer) ... ok
test_index_put (jit.test_tracer.TestTracer) ... ok
test_index_put_trace_with_view (jit.test_tracer.TestTracer) ... ok
test_index_put_trace_without_view (jit.test_tracer.TestTracer) ... ok
test_inplace_check (jit.test_tracer.TestTracer) ... FAIL
test_inplace_copy (jit.test_tracer.TestTracer) ... ok
test_inplace_copy_force_outplace (jit.test_tracer.TestTracer) ... ok
test_inplace_flags (jit.test_tracer.TestTracer) ... ok
test_inplace_transplant (jit.test_tracer.TestTracer) ... ok
test_inplace_warn (jit.test_tracer.TestTracer) ... ok
test_input_dict_checkTrace_mut (jit.test_tracer.TestTracer) ... ok
test_input_dict_empty (jit.test_tracer.TestTracer) ... ok
test_input_dict_empty_list (jit.test_tracer.TestTracer) ... ok
test_input_dict_insertion_order (jit.test_tracer.TestTracer)
Check that dictionary access doesn't care about insertion order ... ok
test_input_dict_of_dicts (jit.test_tracer.TestTracer) ... ok
test_input_dict_of_lists (jit.test_tracer.TestTracer) ... ok
test_input_dict_recursive (jit.test_tracer.TestTracer) ... ok
test_input_dict_remembers_keys (jit.test_tracer.TestTracer)
Check that the trace remembers which keys were in a dict input ... ok
test_input_dict_unify (jit.test_tracer.TestTracer) ... ok
test_input_flatten (jit.test_tracer.TestTracer)
Check that inputs to traced functions are flattened ... ok
test_input_list_mixed_type (jit.test_tracer.TestTracer) ... ok
test_input_list_of_tuples (jit.test_tracer.TestTracer) ... ok
test_input_list_toplevel_flatten (jit.test_tracer.TestTracer) ... ok
test_input_list_toplevel_flatten_direct (jit.test_tracer.TestTracer) ... ok
test_input_tuple_of_dicts (jit.test_tracer.TestTracer) ... ok
test_interpolate_trace (jit.test_tracer.TestTracer) ... ok
test_large_nbr_kernel_args (jit.test_tracer.TestTracer) ... skipped 'requires CUDA'
test_lhs_index_fails (jit.test_tracer.TestTracer) ... ok
test_lhs_index_trivial (jit.test_tracer.TestTracer) ... ok
test_max_pool (jit.test_tracer.TestTracer) ... ok
test_nested_inplace (jit.test_tracer.TestTracer) ... ok
test_non_tensor_tracing (jit.test_tracer.TestTracer) ... ok
test_output_unflatten (jit.test_tracer.TestTracer)
Check that outputs of traced functions retain the original structure and nesting ... expected failure
test_python_function (jit.test_tracer.TestTracer) ... ok
test_python_function_tup (jit.test_tracer.TestTracer) ... ok
test_repeated_input (jit.test_tracer.TestTracer) ... ok
test_repeated_output (jit.test_tracer.TestTracer) ... ok
test_shared_param (jit.test_tracer.TestTracer) ... ok
test_simple (jit.test_tracer.TestTracer) ... ok
test_tensor_with_grad_as_constant (jit.test_tracer.TestTracer) ... ok
test_trace_aliased_parameter (jit.test_tracer.TestTracer) ... ok
test_trace_annotation (jit.test_tracer.TestTracer) ... ok
test_trace_arange (jit.test_tracer.TestTracer) ... ok
test_trace_arange_with_grad (jit.test_tracer.TestTracer) ... ok
test_trace_autograd_function (jit.test_tracer.TestTracer) ... ok
test_trace_c10_ops (jit.test_tracer.TestTracer) ... skipped 'Skip the test since c2 ops are not registered.'
test_trace_casts (jit.test_tracer.TestTracer) ... ok
test_trace_checker_control_flow (jit.test_tracer.TestTracer) ... ok
test_trace_checker_dot_data (jit.test_tracer.TestTracer) ... ok
test_trace_checker_dropout_notrain (jit.test_tracer.TestTracer) ... ok
test_trace_checker_dropout_train (jit.test_tracer.TestTracer) ... ok
test_trace_checker_inplace_on_view (jit.test_tracer.TestTracer) ... ok
test_trace_checker_memoization (jit.test_tracer.TestTracer) ... ok
test_trace_checker_slice_lhs (jit.test_tracer.TestTracer) ... ok
test_trace_checking_with_global_name (jit.test_tracer.TestTracer) ... ok
test_trace_contiguous (jit.test_tracer.TestTracer) ... ok
test_trace_contiguous_short_circuit (jit.test_tracer.TestTracer) ... ok
test_trace_detach (jit.test_tracer.TestTracer) ... ok
test_trace_detach_inplace (jit.test_tracer.TestTracer) ... ok
test_trace_detach_inplace_redispatch (jit.test_tracer.TestTracer) ... ok
test_trace_detach_onnx_erase (jit.test_tracer.TestTracer) ... ok
test_trace_detach_redispatch (jit.test_tracer.TestTracer) ... ok
test_trace_dict_input (jit.test_tracer.TestTracer) ... ok
test_trace_dict_output (jit.test_tracer.TestTracer) ... ok
test_trace_export_fns (jit.test_tracer.TestTracer) ... ok
test_trace_export_fns_recursive (jit.test_tracer.TestTracer) ... ok
test_trace_fork_join_and_module (jit.test_tracer.TestTracer) ... ok
test_trace_full_dynamic_shape (jit.test_tracer.TestTracer) ... ok
test_trace_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok
test_trace_index (jit.test_tracer.TestTracer) ... ok
test_trace_index_constant (jit.test_tracer.TestTracer) ... ok
test_trace_indexed_assignment (jit.test_tracer.TestTracer) ... ok
test_trace_inline_shape (jit.test_tracer.TestTracer) ... ok
test_trace_inverse (jit.test_tracer.TestTracer) ... ok
test_trace_invert_module_hierarchy (jit.test_tracer.TestTracer) ... ok
test_trace_legacy_ctor (jit.test_tracer.TestTracer) ... ok
test_trace_module_argument_names_captured (jit.test_tracer.TestTracer) ... ok
test_trace_modulelist (jit.test_tracer.TestTracer) ... ok
test_trace_multi_output_function (jit.test_tracer.TestTracer) ... graph(%self : __torch__.jit.test_tracer.Bar,
      %x.1 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu),
      %y.1 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu)):
  %x : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%x.1) # /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_tracer.py:1437:0
  %y : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%y.1) # /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_tracer.py:1437:0
  %9 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = ^Foo[inplace=0, module="jit.test_tracer", Subgraph=<Graph>]()(%x, %y) # /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_tracer.py:1438:0
  %10 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), %11 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = prim::TupleUnpack(%9)
  %12 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = prim::TupleConstruct(%10, %11)
  return (%12)

ok
test_trace_namedtuple (jit.test_tracer.TestTracer) ... ok
test_trace_nested_datatypes (jit.test_tracer.TestTracer) ... ok
test_trace_nested_fn (jit.test_tracer.TestTracer) ... ok
test_trace_numel (jit.test_tracer.TestTracer) ... ok
test_trace_optioanl_dtype (jit.test_tracer.TestTracer) ... ok
test_trace_optional (jit.test_tracer.TestTracer) ... ok
test_trace_partial_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok
test_trace_random (jit.test_tracer.TestTracer) ... ok
test_trace_records_names (jit.test_tracer.TestTracer) ... ok
test_trace_save (jit.test_tracer.TestTracer) ... ok
test_trace_save_load_copy (jit.test_tracer.TestTracer) ... ok
test_trace_single_tuple (jit.test_tracer.TestTracer) ... ok
test_trace_size (jit.test_tracer.TestTracer) ... ok
test_trace_size_with_grad (jit.test_tracer.TestTracer) ... ok
test_trace_skip_none_submodule (jit.test_tracer.TestTracer) ... ok
test_trace_slice (jit.test_tracer.TestTracer) ... ok
test_trace_slice_expr_complete_type (jit.test_tracer.TestTracer) ... ok
test_trace_slice_full_dim (jit.test_tracer.TestTracer) ... ok
test_trace_slice_setitem_dynamic_shape (jit.test_tracer.TestTracer) ... ok
test_trace_slice_with_grad (jit.test_tracer.TestTracer) ... ok
test_trace_tensor_factory (jit.test_tracer.TestTracer) ... ok
test_trace_topk (jit.test_tracer.TestTracer) ... ok
test_trace_tuple (jit.test_tracer.TestTracer) ... ok
test_trace_variable_instantiation (jit.test_tracer.TestTracer) ... ok
test_trace_warn (jit.test_tracer.TestTracer) ... ok
test_trace_with_conditional_property (jit.test_tracer.TestTracer) ... ok
test_trace_with_nested_tensor_list_output (jit.test_tracer.TestTracer) ... ok
test_trace_with_number_list_output (jit.test_tracer.TestTracer) ... ok
test_trace_with_tensor_list_output (jit.test_tracer.TestTracer) ... ok
test_traced_module_cuda (jit.test_tracer.TestTracer) ... skipped 'calls .cuda()'
test_tracing_backward_hook_error (jit.test_tracer.TestTracer) ... ok
test_tracing_hooks (jit.test_tracer.TestTracer) ... ok
test_tracing_multiple_methods (jit.test_tracer.TestTracer) ... ok
test_typeas_trace_check (jit.test_tracer.TestTracer) ... ok
test_wrapped_number (jit.test_tracer.TestTracer) ... ok
test_assign_python_attr (jit.test_type_sharing.TestTypeSharing)
Assigning a new (python-only) attribute should not change type sharing ... ok
test_basic (jit.test_type_sharing.TestTypeSharing) ... ok
test_builtin_function_different (jit.test_type_sharing.TestTypeSharing) ... ok
test_builtin_function_same (jit.test_type_sharing.TestTypeSharing) ... ok
test_constants (jit.test_type_sharing.TestTypeSharing)
Types should be shared for identical constant values, and different for different constant values ... ok
test_diff_attr_values (jit.test_type_sharing.TestTypeSharing)
Types should be shared even if attribute values differ ... ok
test_failed_attribute_compilation (jit.test_type_sharing.TestTypeSharing)
Attributes whose type cannot be inferred should fail cleanly with nice hints ... ok
test_ignored_fns (jit.test_type_sharing.TestTypeSharing) ... ok
test_linear (jit.test_type_sharing.TestTypeSharing)
Simple example with a real nn Module ... ok
test_loaded_modules_work (jit.test_type_sharing.TestTypeSharing) ... ok
test_module_dict_same_type_different_name (jit.test_type_sharing.TestTypeSharing)
We should be able to differentiate between two ModuleDict instances ... ok
test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing)
Mutating the value of an attribute should not change type sharing ... ok
test_param_vs_attribute (jit.test_type_sharing.TestTypeSharing)
The same module with an `foo` as a parameter vs. attribute shouldn't ... ok
test_python_function_attribute_different (jit.test_type_sharing.TestTypeSharing)
Different functions passed in should lead to different types ... ok
test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types ... ok
test_same_but_different_classes (jit.test_type_sharing.TestTypeSharing)
Even if everything about the module is the same, different originating ... ok
test_script_function_attribute_different (jit.test_type_sharing.TestTypeSharing)
Different functions passed in should lead to different types ... ok
test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types ... ok
test_script_module_containing_traced_module (jit.test_type_sharing.TestTypeSharing) ... ok
test_submodules (jit.test_type_sharing.TestTypeSharing)
If submodules differ, the types should differ. ... ok
test_tracing_gives_different_types (jit.test_type_sharing.TestTypeSharing)
Since we can't guarantee that methods are the same between different ... ok
test_type_not_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
Test that types are not shared if the exclusion of their ... ok
test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
Test that types are shared if the exclusion of their ... ok
test_type_sharing_define_in_init (jit.test_type_sharing.TestTypeSharing)
Tests that types between instances of a ScriptModule ... ok
test_type_sharing_disabled (jit.test_type_sharing.TestTypeSharing)
Test that type sharing can be disabled. ... ok
test_annotate_outside_init (jit.test_types.TestTypesAndAnnotation) ... ok
test_bad_types (jit.test_types.TestTypesAndAnnotation) ... ok
test_ignore_with_types (jit.test_types.TestTypesAndAnnotation) ... ok
test_ignoring_module_attributes (jit.test_types.TestTypesAndAnnotation)
Test that module attributes can be ignored. ... ok
test_inferred_type_error_message (jit.test_types.TestTypesAndAnnotation) ... ok
test_mismatched_annotation (jit.test_types.TestTypesAndAnnotation) ... ok
test_optional_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation)
Test that using an optional with no contained types produces an error. ... ok
test_parser_bug (jit.test_types.TestTypesAndAnnotation) ... ok
test_pep585_type (jit.test_types.TestTypesAndAnnotation) ... ok
test_python_callable (jit.test_types.TestTypesAndAnnotation) ... ok
test_reannotate (jit.test_types.TestTypesAndAnnotation) ... ok
test_tuple_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation)
Test that using a tuple with no contained types produces an error. ... ok
test_type_annotate_py3 (jit.test_types.TestTypesAndAnnotation) ... ok
test_types_as_values (jit.test_types.TestTypesAndAnnotation) ... ok
test_unimported_type_resolution (jit.test_types.TestTypesAndAnnotation) ... ok
test_bool_list_io (jit.test_typing.TestTyping) ... ok
test_dict_comprehension (jit.test_typing.TestTyping) ... ok
test_dict_comprehension_scope (jit.test_typing.TestTyping) ... ok
test_dict_comprehension_with_type_annotation (jit.test_typing.TestTyping) ... ok
test_dict_in_not_in (jit.test_typing.TestTyping) ... ok
test_dict_invalid_annotations (jit.test_typing.TestTyping) ... ok
test_dict_type_refinement_annotation_key_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4377] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_typing.py", line 90
        def fn():
            l1 = [1, 2, "foo", 3]
                 ~~~~~~~~~~~~~~~ <--- HERE
            l2 = ["foo", "bar", "baz", "qux"]
            d: Dict[int, str] = {k : v for k, v in zip(l1, l2)}
 (function emitListLiteral)
ok
test_dict_type_refinement_annotation_value_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4377] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_typing.py", line 104
        def fn():
            l1 = ["foo", "bar", "baz", "qux"]
            l2 = [1, 2, "foo", 3]
                 ~~~~~~~~~~~~~~~ <--- HERE
            d: Dict[str, int] = {k : v for k, v in zip(l1, l2)}
            return d
 (function emitListLiteral)
ok
test_for_in_dict (jit.test_typing.TestTyping) ... ok
test_for_in_string (jit.test_typing.TestTyping) ... ok
test_for_tuple_assign (jit.test_typing.TestTyping) ... ok
test_for_tuple_unpack (jit.test_typing.TestTyping) ... ok
test_list_io (jit.test_typing.TestTyping) ... ok
test_list_iterables (jit.test_typing.TestTyping) ... ok
test_list_sum (jit.test_typing.TestTyping) ... ok
test_list_type_refinement_annotation_element_mismatch (jit.test_typing.TestTyping) ... ok
test_list_unification (jit.test_typing.TestTyping) ... ok
test_multiple_assign (jit.test_typing.TestTyping) ... ok
test_namedtuple_good_error (jit.test_typing.TestTyping) ... ok
test_namedtuple_py2 (jit.test_typing.TestTyping) ... ok
test_namedtuple_redefine (jit.test_typing.TestTyping) ... ok
test_nested_list (jit.test_typing.TestTyping) ... ok
test_opt_opt_refinement (jit.test_typing.TestTyping) ... ok
test_optional_conversion (jit.test_typing.TestTyping) ... ok
test_optional_refinement (jit.test_typing.TestTyping) ... ok
test_optional_tuple (jit.test_typing.TestTyping) ... ok
test_singleton_tuple_unpack (jit.test_typing.TestTyping) ... ok
test_sum_list_diff_elms (jit.test_typing.TestTyping) ... ok
test_sum_list_empty (jit.test_typing.TestTyping) ... ok
test_sum_list_literal (jit.test_typing.TestTyping) ... ok
test_sum_list_one (jit.test_typing.TestTyping) ... ok
test_sum_list_wrong_type (jit.test_typing.TestTyping) ... ok
test_tuple_assignments (jit.test_typing.TestTyping) ... ok
test_tuple_create_return (jit.test_typing.TestTyping) ... ok
test_tuple_io (jit.test_typing.TestTyping) ... ok
test_tuple_keyword (jit.test_typing.TestTyping) ... ok
test_tuple_specialization (jit.test_typing.TestTyping) ... ok
test_check_union_annotation (jit.test_union.TestUnion) ... ok
test_union_T_None_is_equivalent_to_optional_T (jit.test_union.TestUnion) ... ok
test_union_argument_order_is_ignored (jit.test_union.TestUnion) ... ok
test_union_argument_order_is_ignored_container (jit.test_union.TestUnion) ... ok
test_union_as_annotation (jit.test_union.TestUnion) ... ok
test_union_as_annotation_in_typed_container (jit.test_union.TestUnion) ... ok
test_union_as_annotation_py2 (jit.test_union.TestUnion) ... ok
test_union_as_dict_key (jit.test_union.TestUnion) ... ok
test_union_as_dict_value (jit.test_union.TestUnion) ... ok
test_union_as_internal_tuple_type (jit.test_union.TestUnion) ... ok
test_union_branching_does_not_autoinfer_undeclared_union (jit.test_union.TestUnion) ... ok
test_union_branching_does_not_widen_existing_inferred_type (jit.test_union.TestUnion) ... ok
test_union_branching_with_union_return_and_homogenous_types (jit.test_union.TestUnion) ... ok
test_union_does_not_replace_existing_annotated_type (jit.test_union.TestUnion) ... ok
test_union_does_not_replace_existing_annotated_type_empty_container (jit.test_union.TestUnion) ... ok
test_union_does_not_replace_existing_annotated_type_union (jit.test_union.TestUnion) ... ok
test_union_in_class_constructor (jit.test_union.TestUnion) ... ok
test_union_memory_aliasing (jit.test_union.TestUnion) ... /tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/_jit_internal.py:1282: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str].
  warnings.warn(
ok
test_union_module_with_union_class_variable (jit.test_union.TestUnion) ... ok
test_union_module_with_union_instance_variable (jit.test_union.TestUnion) ... ok
test_union_optional_of_union_is_flattened (jit.test_union.TestUnion) ... ok
test_union_redundant_arguments_are_skipped (jit.test_union.TestUnion) ... ok
test_union_redundant_arguments_are_skipped_container (jit.test_union.TestUnion) ... ok
test_union_redundant_arguments_are_skipped_optional (jit.test_union.TestUnion) ... ok
test_union_redundant_arguments_are_skipped_subtyping (jit.test_union.TestUnion) ... ok
test_union_return_type (jit.test_union.TestUnion) ... ok
test_union_schema_matching_on_internal_type (jit.test_union.TestUnion) ... ok
test_union_serialization_preserves_type_annotations (jit.test_union.TestUnion) ... ok
test_union_subclasses_larger_union (jit.test_union.TestUnion) ... ok
test_union_subtractive_refinement (jit.test_union.TestUnion) ... ok
test_union_subtractive_refinement_with_container (jit.test_union.TestUnion) ... ok
test_union_type_refinement (jit.test_union.TestUnion) ... ok
test_union_type_refinement_internal_declaration (jit.test_union.TestUnion) ... ok
test_union_type_refinement_partial_static_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok
test_union_type_refinement_partial_static_refinement_union_rhs (jit.test_union.TestUnion) ... ok
test_union_type_refinement_statically_false (jit.test_union.TestUnion) ... ok
test_union_type_refinement_statically_true (jit.test_union.TestUnion) ... ok
test_union_type_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok
test_union_type_refinement_tuple_rhs_noncontained_type (jit.test_union.TestUnion) ... ok
test_union_type_refinement_tuple_rhs_union (jit.test_union.TestUnion) ... ok
test_union_type_refinement_union_rhs (jit.test_union.TestUnion) ... ok
test_union_variable_can_be_reassigned (jit.test_union.TestUnion) ... ok
test_union_with_collections (jit.test_union.TestUnion) ... ok
test_union_with_dict_assignment (jit.test_union.TestUnion) ... ok
test_union_with_enum (jit.test_union.TestUnion) ... ok
test_union_with_list_assignment (jit.test_union.TestUnion) ... [W ir_emitter.cpp:4377] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
  File "<string>", line 3

def fn():
    x: Union[List[str], List[torch.Tensor]] = [torch.add(1, x) for x in [torch.arange(5), 1]]
                                                                        ~~~~~~~~~~~~~~~~~~~ <--- HERE
    if torch.jit.isinstance(x, List[torch.Tensor]):
        x.append(torch.tensor(3))
 (function emitListLiteral)
[W ir_emitter.cpp:4377] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
  File "<string>", line 3

def fn():
    x: Union[List[torch.Tensor], int] = [torch.add(1, x) for x in [torch.arange(5), 1]]
                                                                  ~~~~~~~~~~~~~~~~~~~ <--- HERE
    if torch.jit.isinstance(x, List[torch.Tensor]):
        x.append(torch.tensor(3))
 (function emitListLiteral)
ok
test_union_with_scalar_values (jit.test_union.TestUnion) ... ok
test_unions_of_a_single_argument_vanish (jit.test_union.TestUnion) ... ok
test_unions_of_unions_are_flattened (jit.test_union.TestUnion) ... ok
test_factory_ops_requires_grad_fail (jit.test_unsupported_ops.TestUnsupportedOps) ... ok
test_init_ops (jit.test_unsupported_ops.TestUnsupportedOps) ... ok
test_add_value_to_version_map (jit.test_upgraders.TestUpgraders) ... ok
test_aten_div_scalar_at_3 (jit.test_upgraders.TestUpgraders) ... ok
test_aten_div_tensor_at_3 (jit.test_upgraders.TestUpgraders) ... ok
test_aten_div_tensor_out_at_3 (jit.test_upgraders.TestUpgraders) ... ok
test_aten_full_at_4 (jit.test_upgraders.TestUpgraders) ... ok
test_aten_full_other_variants (jit.test_upgraders.TestUpgraders) ... ok
test_aten_full_out_at_4 (jit.test_upgraders.TestUpgraders) ... ok
test_aten_linspace (jit.test_upgraders.TestUpgraders) ... ok
test_aten_linspace_out (jit.test_upgraders.TestUpgraders) ... ok
test_aten_logspace (jit.test_upgraders.TestUpgraders) ... ok
test_aten_logspace_out (jit.test_upgraders.TestUpgraders) ... ok
test_aten_test_serialization (jit.test_upgraders.TestUpgraders) ... ok
test_populated_test_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok
test_populated_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok
test_warn (jit.test_warn.TestWarn) ... ok
test_warn_multiple_calls_multiple_warnings (jit.test_warn.TestWarn) ... ok
test_warn_multiple_calls_same_func_diff_stack (jit.test_warn.TestWarn) ... ok
test_warn_once_per_func (jit.test_warn.TestWarn) ... ok
test_warn_once_per_func_in_loop (jit.test_warn.TestWarn) ... ok
test_warn_only_once (jit.test_warn.TestWarn) ... ok
test_warn_only_once_in_loop_func (jit.test_warn.TestWarn) ... ok
test_with_as (jit.test_with.TestWith)
Check that with statements that use the 'as' keyword to bind expressions ... ok
test_with_errors (jit.test_with.TestWith)
Check that errors related to with-statements are detected and reported correctly. ... ok
test_with_exceptions (jit.test_with.TestWith)
Check that exceptions thrown in the bodies of with-statements are ... ok
test_with_no_as (jit.test_with.TestWith)
Check that with statements that do not use the 'as' keyword to bind expressions ... ok
test_with_no_grad (jit.test_with.TestWith)
Check that torch.no_grad() works. Most of these are adapted from ... ok
test_with_record_function (jit.test_with.TestWith)
Check that torch.autograd.profiler.record_function context manager is ... STAGE:2023-08-01 18:14:30 1569765:1569765 ActivityProfilerController.cpp:294] Completed Stage: Warm Up
STAGE:2023-08-01 18:14:30 1569765:1569765 ActivityProfilerController.cpp:300] Completed Stage: Collection
ok

======================================================================
ERROR: test_always_alive_values (jit.test_freezing.TestMKLDNNReinplacing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_freezing.py", line 2547, in test_always_alive_values
    self.checkResults(mod_eager, mod)
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_freezing.py", line 2504, in checkResults
    self.assertEqual(mod1(inp), mod2(inp))
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 477, in prof_meth_call
    return prof_callable(meth_call, *args, **kwargs)
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 471, in prof_callable
    return callable(*args, **kwargs)
RuntimeError: Couldn't find method: '_conv_forward' on class: '__torch__.torch.nn.modules.conv.___torch_mangle_2076.Conv2d (of Python compilation unit at: 0x3b747d0)'

======================================================================
ERROR: test_merge_liveness (jit.test_freezing.TestMKLDNNReinplacing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_freezing.py", line 2529, in test_merge_liveness
    FileCheck().check("aten::mul_").check_not("aten::add_").run(mod.graph)
RuntimeError: Expected to find "aten::mul_" but did not find it
Searched string:
graph(%self : __torch__.torch.nn.modules.container.___torch_mangle_2080.Sequential,
~~~~~~~~~~ <--- HERE
      %input.1 : Tensor):
  %9 : int = prim::Constant[value=1]()
From CHECK: aten::mul_


======================================================================
ERROR: test_successful (jit.test_freezing.TestMKLDNNReinplacing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_freezing.py", line 2511, in test_successful
    FileCheck().check("mkldnn_convolution").check_next("prim::MKLDNNHardSwish_").check_next("aten::relu_").run(mod.graph)
RuntimeError: Expected to find "mkldnn_convolution" but did not find it
Searched string:
graph(%self : __torch__.torch.nn.modules.container.___torch_mangle_2084.Sequential,
~~~~~~~~~~~~~~~~~~ <--- HERE
      %input.1 : Tensor):
  %14 : Function = prim::Constant[name="relu"]()
From CHECK: mkldnn_convolution


======================================================================
ERROR: test_switch_inputs_to_inplace (jit.test_freezing.TestMKLDNNReinplacing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_freezing.py", line 2580, in test_switch_inputs_to_inplace
    FileCheck().check("aten::add_").run(mod.graph)
RuntimeError: Expected to find "aten::add_" but did not find it
Searched string:
graph(%self : __torch__.torch.nn.modules.container.___torch_mangle_2090.Sequential,
~~~~~~~~~~ <--- HERE
      %input.1 : Tensor):
  %9 : int = prim::Constant[value=1]()
From CHECK: aten::add_


======================================================================
ERROR: test_conv_dim_folding (jit.test_peephole.TestPeephole)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_peephole.py", line 207, in test_conv_dim_folding
    FileCheck().check_not("conv").check_not("dim").run(conv_dim.graph)
RuntimeError: Expected to not find "conv" but found it
graph(%self : __torch__.jit.test_peephole.ConvDim,
      %x.1 : Tensor):
  %conv : __torch__.torch.nn.modules.conv.Conv1d = prim::GetAttr[name="conv"](%self)
   ~~~~ <--- HERE
  %weight : Tensor = prim::GetAttr[name="weight"](%conv)
  %bias : Tensor? = prim::GetAttr[name="bias"](%conv)
From CHECK-NOT: conv


======================================================================
ERROR: test_mm_batching (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 11347, in test_mm_batching
    bw_graph = backward_graph(slstm, diff_graph_idx=0)
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 323, in backward_graph
    fwd_plan = get_execution_plan(ge_state)
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 68, in get_execution_plan
    raise RuntimeError('This test assumes this GraphExecutor should '
RuntimeError: This test assumes this GraphExecutor should only have one execution plan, got: 0

======================================================================
ERROR: test_rand (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 11141, in test_rand
    .check_not("Float(*, *, requires_grad=0, device=cpu)").run(g)
RuntimeError: Expected to find "Double(*, *, requires_grad=0, device=cpu)" but did not find it
Searched string:
graph():
~~~~~~~~
  %0 : float = prim::Constant[value=1.]() # /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py:11131:23
  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
  %1 : int = prim::Constant[value=4]() # /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py:11130:31
  %2 : int = prim::Constant[value=3]() # /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py:11130:28
From CHECK: Double(*, *, requires_grad=0, device=cpu)


======================================================================
ERROR: test_request_bailout (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 3174, in test_request_bailout
    eplan = get_execution_plan(dstate)
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 68, in get_execution_plan
    raise RuntimeError('This test assumes this GraphExecutor should '
RuntimeError: This test assumes this GraphExecutor should only have one execution plan, got: 0

======================================================================
ERROR: test_tensor_as_tensor_shape_prop (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 7374, in test_tensor_as_tensor_shape_prop
    .check("Tensor(requires_grad=0) = aten::tensor").run(g)
RuntimeError: Expected to find "Float(requires_grad=1, device=cpu) = aten::tensor" but did not find it
Searched string:
graph(%inp_dtype.1 : int):
~~~~~~~~~~~~~~~~~~~~~~~~~~
  %1 : bool = prim::Constant[value=0]()
  ~~~~~~~~~~~~~~~~~~~~ <--- HERE
  %2 : NoneType = prim::Constant()
  %3 : bool = prim::Constant[value=1]() # /tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py:7362:67
From CHECK: Float(requires_grad=1, device=cpu) = aten::tensor


======================================================================
ERROR: test_torch_tensor_dtype (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 7481, in test_torch_tensor_dtype
    FileCheck().check("Double").check_same("aten::tensor").run(torch.jit.last_executed_optimized_graph())
RuntimeError: Expected to find "Double" but did not find it
Searched string:
graph(%s.1 : float):
~~~~~~ <--- HERE
  %1 : bool = prim::Constant[value=0]()
  %2 : NoneType = prim::Constant()
From CHECK: Double


======================================================================
ERROR: test_partial_eval_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_symbolic_shape_analysis.py", line 435, in test_partial_eval_stitching
    self.checkSymShapeCompute(shape_compute_graph, nodes, output_shapes, ([1, 3, 224, 224],))
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_symbolic_shape_analysis.py", line 400, in checkSymShapeCompute
    g = shape_compute_graph.partial_eval_shape_graph()
AttributeError: 'NoneType' object has no attribute 'partial_eval_shape_graph'

======================================================================
ERROR: test_refinement_through_graph_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_symbolic_shape_analysis.py", line 456, in test_refinement_through_graph_stitching
    self.assertTrue(out1[2] != out2[2])
TypeError: 'NoneType' object is not subscriptable

======================================================================
FAIL: test_profiler (test_jit.TestJit)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 2977, in test_profiler
    self.assertTrue(e.thread not in mul_events)
AssertionError: False is not true

======================================================================
FAIL: test_cat (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 5407, in test_cat
    self.assertAutodiffNode(func2.graph_for(x, y), True, ['aten::cat'], [])
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 282, in assertAutodiffNode
    self.assertEqual(should_autodiff_node,
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2470, in assertEqual
    assert_equal(
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1093, in assert_equal
    raise error_metas[0].to_error(msg)
AssertionError: Booleans mismatch: True is not False : 
Failure in testing nodes' autodifferentiation. One or more nodes were expected to be autodiffed, but were not found in specified fusible/nonfusible DifferentiableGraph groups. 
Specifically:
  ['aten::cat'] were not in one of the DifferentiableGraphs when they were expected to be. Did you intend for these nodes to be autodiffed? If not, remove them from the list of nonfusible nodes.

======================================================================
FAIL: test_optional_list (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 6406, in test_optional_list
    self.assertEqual(first_input.uses(), [])
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2470, in assertEqual
    assert_equal(
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1068, in assert_equal
    raise error_meta.to_error() from None
AssertionError: The length of the sequences mismatch: 2 != 0

======================================================================
FAIL: test_optional_tensor (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 6362, in test_optional_tensor
    self.assertEqual(first_input.uses(), [])
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2470, in assertEqual
    assert_equal(
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1068, in assert_equal
    raise error_meta.to_error() from None
AssertionError: The length of the sequences mismatch: 1 != 0

======================================================================
FAIL: test_prim_grad_undefined (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 4701, in test_prim_grad_undefined
    self.assertTrue(next(prim_grad_node.outputs()).type().undefined() is None)
AssertionError: False is not true

======================================================================
FAIL: test_requires_grad_loop (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 5711, in test_requires_grad_loop
    self.assertFalse(loop_outputs[1].requires_grad())
AssertionError: True is not false

======================================================================
FAIL: test_stack (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 5449, in test_stack
    self.assertAutodiffNode(func2.graph_for(x, y), True, ['aten::stack'], [])
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 282, in assertAutodiffNode
    self.assertEqual(should_autodiff_node,
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2470, in assertEqual
    assert_equal(
  File "/tmp/eb-x4l3ublx/tmpn2k1vt4w/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1093, in assert_equal
    raise error_metas[0].to_error(msg)
AssertionError: Booleans mismatch: True is not False : 
Failure in testing nodes' autodifferentiation. One or more nodes were expected to be autodiffed, but were not found in specified fusible/nonfusible DifferentiableGraph groups. 
Specifically:
  ['aten::stack'] were not in one of the DifferentiableGraphs when they were expected to be. Did you intend for these nodes to be autodiffed? If not, remove them from the list of nonfusible nodes.

======================================================================
FAIL: test_tensor_requires_grad (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test_jit.py", line 7405, in test_tensor_requires_grad
    self.assertFalse(out_inp[2].requires_grad())
AssertionError: True is not false

======================================================================
FAIL: test_canonicalize_tensor_iterator (jit.test_tracer.TestTracer)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_tracer.py", line 246, in test_canonicalize_tensor_iterator
    self.assertTrue(str(traced.graph_for(x)).count(': int = prim::Constant') == 5)
AssertionError: False is not true

======================================================================
FAIL: test_inplace_check (jit.test_tracer.TestTracer)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/jit/test_tracer.py", line 343, in test_inplace_check
    with self.assertRaisesRegex(RuntimeError, 'inplace MyInplaceFn'):
AssertionError: RuntimeError not raised

----------------------------------------------------------------------
Ran 2643 tests in 297.929s

FAILED (failures=10, errors=12, skipped=160, expected failures=7)

FINISHED PRINTING LOG FILE of test_jit_legacy (/tmp/vsc40023/easybuild_build/PyTorch/1.13.1/foss-2022a/pytorch-v1.13.1/test/test-reports/test_jit_legacy_qr7jlwwg)

I'm happy to merge this and follow up on this problem in another PR (one step at a time, especially with PyTorch).

@Flamefire
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I'm happy to merge this and follow up on this problem in another PR (one step at a time, especially with PyTorch).

Sounds like a good idea. Especially after now I've found yet another issue: PyTorch-1.10.0_fix-fp16-quantization-without-fbgemm.patch is missing from all PyTorch 1.11+ ECs because it doesn't apply cleanly anymore due to some reformatting while the issue isn't fixed which is likely the cause for the nn/test_embedding failures I see on POWER

Currently testing the updated patch and it likely makes sense to add them to all ECs in a single PR especially as that only affects POWER.

@SebastianAchilles
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Test report by @SebastianAchilles
FAILED
Build succeeded for 0 out of 1 (1 easyconfigs in total)
skl-rockylinux-88 - Linux Rocky Linux 8.8, x86_64, Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz (skylake), 1 x NVIDIA NVIDIA RTX A4000, 535.86.10, Python 3.6.8
See https://gist.github.com/SebastianAchilles/bb96180655629a1a113e488816350201 for a full test report.

@Flamefire
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@SebastianAchilles Does your GCCcore module include the GCCcore-11.3.0_fix-vectorizer.patch? IIRC that fixes the test_quantization failure you see.

@boegel boegel changed the title Fix patches for PyTorch-1.13.1-foss-2022a.eb add/fix patches for PyTorch 1.13.1 w/ foss/2022a Aug 8, 2023
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boegel commented Aug 8, 2023

Merging this as-is, since it's a step forward, more fixes can be done in a follow-up PR

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boegel commented Aug 8, 2023

Going in, thanks @Flamefire!

@boegel boegel merged commit 22c5835 into easybuilders:develop Aug 8, 2023
@Flamefire Flamefire deleted the 20230724164347_new_pr_PyTorch1131 branch August 8, 2023 13:53
@SebastianAchilles
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@SebastianAchilles Does your GCCcore module include the GCCcore-11.3.0_fix-vectorizer.patch? IIRC that fixes the test_quantization failure you see.

Yes, the installed GCCcore includes GCCcore-11.3.0_fix-vectorizer.patch. The error seems to show up only sometimes. I run it twice yesterday without --upload-test-report which were both successful. Here the successful test report uploaded to gist: https://gist.github.com/SebastianAchilles/263cdedb86e6fbfce336b32e40bcb101

@Flamefire
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Strange. I also ran this multiple times without issues, both completely and only this test. Might want to keep that in mind for later.

If you still have the log, can you post the exact name of the subtest in test_quantization which failed? The part in the gist has only "test_quantization (942 total tests, failures=1, skipped=72)"
Just so if it happens again we'll know it is the same issue.

@Flamefire
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@casparvl You download to /home/casparl/.local/easybuild/sources/p/PyTorch/pytorch-v1.13.1.tar.gz seems to be corrupted.

@SebastianAchilles
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Strange. I also ran this multiple times without issues, both completely and only this test. Might want to keep that in mind for later.

If you still have the log, can you post the exact name of the subtest in test_quantization which failed? The part in the gist has only "test_quantization (942 total tests, failures=1, skipped=72)" Just so if it happens again we'll know it is the same issue.

Unfortunately I didn't have the logs anymore. I rebuilt this MR 5 times again on my machines and the test was successful each time.

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4 participants