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support multiply inputs and outputs #36851
support multiply inputs and outputs #36851
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… op2func_refactor
… op2func_refactor
… op2func_refactor
* add a candidate dense tensor class, test=develop * remove TensorBase::backend(), test=develop * remove some ops, test=develop * cherry-pick the pr of tensor meta, test=develop * moves the dense tensor and some ops, test=develop * update the linalg operator, test=develop * update other operators, test=develop * fix errors, test=develop * fix bugs, test=develop * try to resolve the problem of windows ci, test=develop * updates codes, test=develop * fix the tensor_utils.cc, test=develop * modify the dense tensor, test=develop * fix the data type, test=develop Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
…into op2func_refactor
…into op2func_refactor
Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
Thanks for your contribution! |
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LGTM
for (auto in : inputs) { | ||
inputs_.emplace_back(in); | ||
inputs_.emplace_back(std::move(in)); |
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move shared_ptr会影响到输入的数据吗?
for (auto out : outputs) { | ||
outputs_.emplace_back(out); | ||
outputs_.emplace_back(std::move(out)); |
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同上
} | ||
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const std::pair<int, int>& InputRangeAt(size_t idx) const { | ||
return input_range_.at(idx); |
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这里需不需要加越界检查?
} | ||
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const std::pair<int, int>& OutputRangeAt(size_t idx) const { | ||
return output_range_.at(idx); |
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同上
paddle/pten/core/kernel_registry.h
Outdated
@@ -62,9 +62,17 @@ struct KernelArgsParseFunctor<Return_ (*)(Args_...)> { | |||
} else if (arg_type == std::type_index(typeid(const DenseTensor&))) { | |||
args_def->AppendInput( | |||
default_key.backend(), default_tensor_layout, default_key.dtype()); | |||
} else if (arg_type == | |||
std::type_index(typeid(const std::vector<DenseTensor>))) { |
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const std::vector 是引用吗?
@@ -122,6 +122,14 @@ struct KernelKeyParser : ArgsIterator<KernelKeyParser> { | |||
key_set.dtype = x.type(); | |||
} | |||
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void operator()(const std::vector<Tensor>& x) { | |||
key_set.backend_set = | |||
key_set.backend_set | detail::GetTensorBackendSet(x[0]); |
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[TODO for me] 这里的机制还需要完善
3e2d016
* initial tensor design & sign kernel demo * add move constructor for meta & add lodtensor * add dirs & sign xpu kernel * add mean cpu&cuda kernel impl * move sign & mean xpu & npu kernel * add selected_rows basic impl * refactor design, BaseTensor to DenseTensor, etc. * add scale mkldnn kernel * polish xpu & npu impl details * fix mkldnn reuse compile failed * change tensor operation lib name * rename util filename * add more comments * change TensorImplInterface to TensorInterface * add kernel key and factory * remove MKLDNNTensorMeta, add MKLDNNDenseTensor * change XXDeviceContext to XXContext * add base kernel registrar utils & test on sign * replace boost::any by paddle::any * fix several ci failed * fix npu compile error * add ordered map util * fix multiple ordered_map compile errors * move dev into include dir * support sign op in static op run * fix static op run error * fix new executor compile failed * add dygraph branch & remove sign_op.h * fix test_infer_no_need_buffer_slots * fix rocm compile link error * fix unitybuild error & clear glog * fix npu compile failed * skip quant trans test * fix part windows compile problem * fix xpu enforce error * fix inference test failed * remove ordered_map to solve quant failed * fix part of rcom compile faild * add more register kernels * revert scale kernel temporarily * fix code format error * add new kernel registrar marco * rename top to tcmpt * revert xpu, npu, mkldnn impl & remove op def * add kernel args parse functor to auto parse args * revert some change & add scale kernels * add op proto in dygraph kernelcontext building * polish kernel dispatch logic & nameing rule * fix scale kernel match error * fix scale test failed * add mean API and unittest * test mean api success * add branch to solve compiled error * skip clang format error * add mean skip rule in op_library * add dot kernel, api and unittest (PaddlePaddle#6) * remove old kernel and add symbol link * fix dot compiled failed * add merco for module declare * fix npu and xpu compile error * revert sign, mean, scale, dot kernel removing * add comment for keeping old kernel impl * fix mutable_data error * fix bfloat16 conflit * fix inference undef error * adapt to msvc compile rules * polish comment for template inst * add cmake template instantiation for win * fix backend to place device id bug * fix ifdef error * Op2functor (PaddlePaddle#7) * add kernel args maker class * make args maker non-const * remove debug log * modify codes by review options * split constructPrKernelContext function * fix output name bug * fix test_mean_op test_sign_op failed * fill_any_like kernel refactor (PaddlePaddle#10) * fill_any_like kernel refactor * remove useless code of full_like c++ api * skip dtype for fill_any_like * add attrs for kernel key constrcut * add use_pt_kernel Flags to control whether to use pt kernel (PaddlePaddle#13) * add use_pt_kernel Flags to control whether to use pt kernel * change the default value to true for cheking pt kernels * fix mutable_data cuda place error * move high level apis into hapi * remove selectedrows adapting temporarily * Support Scalar in Tensor Compute Library (PaddlePaddle#14) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * remove mkldnn tensor & polish details * use flat_hash_map and small_vector in kernel factory * Refactor flatten kernel (PaddlePaddle#12) * refactor flatten kernel * update infershape function * fix compile bugs * fix bugs when merge * fix compiler bugs * fix bugs when run test_flatten_api * fix bugs when run test * Revert "use flat_hash_map and small_vector in kernel factory" This reverts commit 2309149. * Move cpu, cuda and other device code into kernels (PaddlePaddle#15) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Perfect unitests (PaddlePaddle#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (PaddlePaddle#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (PaddlePaddle#20) * perfect unittest * update license * fix bug when run tcmpt_utils_test * refactor execution adapting impl * fix insert conflit * Fix CI bug of test_yolov3 (PaddlePaddle#21) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Fix CI bug of test_yolov3 * add the tensor base class, test=develop (PaddlePaddle#17) * update the tensor base class, test=develop * remove two funcs, test=develop * update the error msg, test=develop Co-authored-by: Chen Weihang <chenweihang@baidu.com> * [no-verify] commit backend and tensor signature changes * Rename tcmpt to pten (PaddlePaddle#23) * rename tcmpt to pten * update omitted files for rename to pten * update omitted file for rename to pten * remove k of all enum var * remove kernel_instantiate (PaddlePaddle#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (PaddlePaddle#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (PaddlePaddle#27) * replace to small vector and change to const & * add std::move Co-authored-by: Chen Weihang <chenweihang@baidu.com> * polish kernel factory and kernel registry * fix operator test error msg mismatch * remove tensor signature and backend set member * move scalar and polish enforce * revert dtype layout change to fix error * fix enum operator override error * add several base unittests * add pten utils tests * polish some details * Dev/op2func refactor 3 (PaddlePaddle#30) * add a candidate dense tensor class, test=develop * remove TensorBase::backend(), test=develop * remove some ops, test=develop * cherry-pick the pr of tensor meta, test=develop * moves the dense tensor and some ops, test=develop * update the linalg operator, test=develop * update other operators, test=develop * fix errors, test=develop * fix bugs, test=develop * try to resolve the problem of windows ci, test=develop * updates codes, test=develop * fix the tensor_utils.cc, test=develop * modify the dense tensor, test=develop * fix the data type, test=develop Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * polish some details * polish kernel signature details * fix a bug about offsets of the tensor, test=develop (PaddlePaddle#31) Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * support multiply inputs and outputs * rm attrs {} * fix multioutputs bug * merge develop * remove unsed header file * add missing & in const reference * modify inputAt, outputAt to inputBetween, outputBetween Co-authored-by: Chen Weihang <chenweihang@baidu.com> Co-authored-by: zyfncg <1370305206@qq.com> Co-authored-by: YuanRisheng <yuanrisheng@baidu.com> Co-authored-by: 石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
PR types
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Describe
Support
const std::vector<DenseTensor>&
as input type.Support
std::vector<DenseTensor*>
as output type.