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FAIL [0.010s]: test_neg_view_nn_functional_embedding_cuda_float64 (__main__.TestMathBitsCUDA)
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Traceback (most recent call last):
  File "/opt/conda/lib/python3.9/site-packages/torch/testing/_internal/common_utils.py", line 1408, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/lib/python3.9/site-packages/torch/testing/_internal/common_device_type.py", line 371, in instantiated_test
    result = test(self, **param_kwargs)
  File "/opt/conda/lib/python3.9/site-packages/torch/testing/_internal/common_device_type.py", line 737, in test_wrapper
    return test(*args, **kwargs)
  File "/var/lib/jenkins/workspace/test/test_ops.py", line 1064, in test_neg_view
    self._test_math_view(device, dtype, op, _requires_grad, math_op_physical, math_op_view, is_bit_set,
  File "/var/lib/jenkins/workspace/test/test_ops.py", line 1005, in _test_math_view
    self.assertEqual(expected_forward, forward_with_mathview)
  File "/opt/conda/lib/python3.9/site-packages/torch/testing/_internal/common_utils.py", line 1889, in assertEqual
    super().assertTrue(result, msg=self._get_assert_msg(msg, debug_msg=debug_msg))
AssertionError: False is not true : Tensors failed to compare as equal!With rtol=1e-07 and atol=1e-07, found 10 element(s) (out of 20) whose difference(s) exceeded the margin of error (including 0 nan comparisons). The greatest difference was 0.3243844201848294 (0.006377774802576542 vs. 0.33076219498740594), which occurred at index (0, 1, 0).

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>>> import torch; print(torch.__config__.show())
PyTorch built with:
  - GCC 9.4
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2021.3-Product Build 20210617 for Intel(R) 64 architecture applications
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - CPU capability usage: AVX2
  - CUDA Runtime 11.3
  - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75
  - Magma 2.5.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CXX_COMPILER=/home/kshiteej/.conda/envs/pytorch-cuda-dev/bin/x86_64-conda-linux-gnu-c++, CXX_FLAGS=-fvisibility-inlines-hidden -std=c++14 -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem /home/kshiteej/.conda/envs/pytorch-cuda-dev/include -L/usr/local/cuda-11.3.0/lib64 -L/home/kshiteej/.conda/envs/pytorch-cuda-dev/lib -D__STDC_FORMAT_MACROS -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_PYTORCH_QNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=1, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=0, USE_NNPACK=0, USE_OPENMP=ON, USE_ROCM=OFF,