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tests/python/unittest/test_tvm_op.py
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@@ -24,14 +24,13 @@ | |||
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@with_seed() | |||
def test_tvm_broadcast_add(): | |||
if _features.is_enabled("TVM_OP"): |
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Lets keep that if possible
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yes I will, thanks for reminding. could you guide me where to pip install package in docker? ci failed with "ImportError: No module named 'decorator'" during compiling
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@gigasquid Could you take a look at the following failure? I have no idea what does it mean.
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@yzhliu Sure - I'll pull and take a look this weekend. The test is trying to see if the profiler is working by checking that it wrote a file. Not sure why it would fail. |
Thanks @gigasquid I saw another PR also fails this test: #16046 |
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* enable tvm_op for ci * specify python3 bin * move rpath to top * move tvm op dep forward * add ldd debug info * add libtvm_runtime.so to mx_lib_cython * add ldd debug for py3 * fix libtvm_runtime path for cmake * cp libtvm_runtime.so when make rpkg * add libtvm_runtime.so to scala-pkg * add python3 to cmake in unix-gpu build * hack: add cuda to ld_path in cmake * add LD_LIBRARY_PATH into cmake tvm op * add /usr/local/cuda/compat to Dockerfile.build.ubuntu_gpu_cu101 LD_LIBRARY_PATH * remove unused codes * remove USE_TVM_OP from build_ubuntu_cpu_large_tensor
* enable tvm_op for ci * specify python3 bin * move rpath to top * move tvm op dep forward * add ldd debug info * add libtvm_runtime.so to mx_lib_cython * add ldd debug for py3 * fix libtvm_runtime path for cmake * cp libtvm_runtime.so when make rpkg * add libtvm_runtime.so to scala-pkg * add python3 to cmake in unix-gpu build * hack: add cuda to ld_path in cmake * add LD_LIBRARY_PATH into cmake tvm op * add /usr/local/cuda/compat to Dockerfile.build.ubuntu_gpu_cu101 LD_LIBRARY_PATH * remove unused codes * remove USE_TVM_OP from build_ubuntu_cpu_large_tensor
@@ -80,3 +80,4 @@ RUN /work/ubuntu_adduser.sh | |||
COPY runtime_functions.sh /work/ | |||
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WORKDIR /work/mxnet | |||
ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/compat |
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@yzhliu what is the purpose and need of this line?
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