Repository: pytorch
Issue: ATen not compiled with MKL support
Labels: module: build,triaged,module: mkl

I want to run torchaudio with this code
```
import torch
import torchaudio
import matplotlib.pyplot as plt
filename = "./steam-train-whistle-daniel_simon-converted-from-mp3.wav"
waveform, sample_rate = torchaudio.load(filename)
print("Shape of waveform: {}".format(waveform.size()))
print("Sample rate of waveform: {}".format(sample_rate))
plt.figure()
plt.plot(waveform.t().numpy())
specgram = torchaudio.transforms.Spectrogram()(waveform)
print("Shape of spectrogram: {}".format(specgram.size()))
```

but I get this error

```
  File "main.py", line 15, in <module>
    specgram = torchaudio.transforms.Spectrogram()(waveform)
  File "/home/mnaderan/.local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 532, in __call__
    result = self.forward(*input, **kwargs)
  File "build/bdist.linux-x86_64/egg/torchaudio/transforms.py", line 70, in forward
  File "build/bdist.linux-x86_64/egg/torchaudio/functional.py", line 259, in spectrogram
  File "build/bdist.linux-x86_64/egg/torchaudio/functional.py", line 52, in _stft
  File "<__torch_function__ internals>", line 6, in stft
  File "/home/mnaderan/.local/lib/python2.7/site-packages/torch/_overrides.py", line 140, in _implement_torch_function
    return implementation(*args, **kwargs)
  File "/home/mnaderan/.local/lib/python2.7/site-packages/torch/functional.py", line 427, in stft
    return torch._C._VariableFunctions.stft(input, n_fft, hop_length, win_length, window, normalized, onesided)
RuntimeError: fft: ATen not compiled with MKL support
```


The error is not meaningful and I don't know what is missing? MKL? Aten?
Here is the env information for pytorch
```
$ python collect_env.py
Collecting environment information...
PyTorch version: 1.4.0a0+2488231
Is debug build: No
CUDA used to build PyTorch: 10.1

OS: Ubuntu 18.04.1 LTS
GCC version: (Ubuntu 7.3.0-16ubuntu3) 7.3.0
CMake version: version 3.10.2

Python version: 2.7
Is CUDA available: Yes
CUDA runtime version: 10.1.168
GPU models and configuration:
GPU 0: GeForce RTX 2080 Ti
GPU 1: TITAN V

Nvidia driver version: 418.56
cuDNN version: Could not collect

Versions of relevant libraries:
[pip] numpy==1.16.5
[pip] torch==1.4.0a0+2488231
[pip] torchaudio==0.4.0a0+774ebc7
[pip] torchtext==0.4.0
[pip] torchvision==0.5.0a0+5c03d59
[conda] Could not collect
```
The variables set according to CMakeCache.txt are
```
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# For build in directory: /mnt/local/mnaderan/pt/pytorch/build
# It was generated by CMake: /usr/bin/cmake
# You can edit this file to change values found and used by cmake.
# If you do not want to change any of the values, simply exit the editor.
# If you do want to change a value, simply edit, save, and exit the editor.
# The syntax for the file is as follows:
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# KEY is the name of a variable in the cache.
# TYPE is a hint to GUIs for the type of VALUE, DO NOT EDIT TYPE!.
# VALUE is the current value for the KEY.

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ASMJIT_STATIC:BOOL=ON

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ASMJIT_TEST:BOOL=FALSE

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//C AVX2 support
C_AVX2_FOUND:BOOL=TRUE

//C AVX flags
C_AVX_FLAGS:STRING=-mavx

//C AVX support
C_AVX_FOUND:BOOL=TRUE

//Value Computed by CMake
Caffe2_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build

//Value Computed by CMake
Caffe2_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch

//Dependencies for the target
Caffe2_perfkernels_avx2_LIB_DEPENDS:STATIC=general;c10;

//Dependencies for the target
Caffe2_perfkernels_avx512_LIB_DEPENDS:STATIC=general;c10;

//Dependencies for the target
Caffe2_perfkernels_avx_LIB_DEPENDS:STATIC=general;c10;

//Disable AVX2
DISABLE_AVX2:BOOL=OFF

//Disable AVX512F
DISABLE_AVX512F:BOOL=OFF

//Disable float128
DISABLE_FLOAT128:BOOL=OFF

//Disable FMA4
DISABLE_FMA4:BOOL=OFF

//Disable long double
DISABLE_LONG_DOUBLE:BOOL=OFF

//Disable OPENMP
DISABLE_OPENMP:BOOL=OFF

//Disable SSE2
DISABLE_SSE2:BOOL=OFF

//Disable AVX
DISABLE_SSE4:BOOL=OFF

//Disable SVE
DISABLE_SVE:BOOL=OFF

//Disable VSX
DISABLE_VSX:BOOL=OFF

//Dot tool for use with Doxygen
DOXYGEN_DOT_EXECUTABLE:FILEPATH=/usr/bin/dot

//Doxygen documentation generation tool (http://www.doxygen.org)
DOXYGEN_EXECUTABLE:FILEPATH=/usr/bin/doxygen

//Build fails if AVX2 is not supported by the compiler
ENFORCE_AVX2:BOOL=OFF

//Build fails if AVX512F is not supported by the compiler
ENFORCE_AVX512F:BOOL=OFF

//Build fails if float128 is not supported by the compiler
ENFORCE_FLOAT128:BOOL=OFF

//Build fails if FMA4 is not supported by the compiler
ENFORCE_FMA4:BOOL=OFF

//Build fails if long double is not supported by the compiler
ENFORCE_LONG_DOUBLE:BOOL=OFF

//Build fails if OPENMP is not supported by the compiler
ENFORCE_OPENMP:BOOL=OFF

//Build fails if SSE2 is not supported by the compiler
ENFORCE_SSE2:BOOL=OFF

//Build fails if AVX is not supported by the compiler
ENFORCE_SSE4:BOOL=OFF

//Build fails if SVE is not supported by the compiler
ENFORCE_SVE:BOOL=OFF

//Build fails if tester3 is not built
ENFORCE_TESTER3:BOOL=OFF

//Build fails if VSX is not supported by the compiler
ENFORCE_VSX:BOOL=OFF

//Experimental option to use a single thread pool for inter- and
// intra-op parallelism
EXPERIMENTAL_SINGLE_THREAD_POOL:STRING=0

//Build fbgemm benchmarks
FBGEMM_BUILD_BENCHMARKS:BOOL=OFF

//Build fbgemm unit tests
FBGEMM_BUILD_TESTS:BOOL=OFF

FBGEMM_LIBRARY_TYPE:STRING=static

//FBGEMM source directory
FBGEMM_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/fbgemm

//Path to a file.
FFTW3_INCLUDE_DIR:PATH=FFTW3_INCLUDE_DIR-NOTFOUND

//Build with Werror
FOXI_WERROR:BOOL=OFF

//Value Computed by CMake
FP16_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/confu-deps/fp16

//Build FP16 micro-benchmarks
FP16_BUILD_BENCHMARKS:BOOL=OFF

//Build FP16 unit tests
FP16_BUILD_TESTS:BOOL=OFF

//Value Computed by CMake
FP16_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/third_party/FP16

//Build FXdiv micro-benchmarks
FXDIV_BUILD_BENCHMARKS:BOOL=OFF

//Build FXdiv unit tests
FXDIV_BUILD_TESTS:BOOL=OFF

//FXdiv source directory
FXDIV_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/FXdiv

//Allow use of inline assembly in FXdiv
FXDIV_USE_INLINE_ASSEMBLY:BOOL=OFF

//Value Computed by CMake
FXdiv_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/confu-deps/fxdiv

//Value Computed by CMake
FXdiv_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/third_party/FXdiv

//Git command line client
GIT_EXECUTABLE:FILEPATH=/usr/bin/git

GLOO_INSTALL:BOOL=ON

GLOO_STATIC_OR_SHARED:STRING=STATIC

//Google Test source directory
GOOGLETEST_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/googletest

//Path to a file.
IDEEP_INCLUDE_DIR:PATH=/mnt/local/mnaderan/pt/pytorch/third_party/ideep/include

//Enable installation of googletest. (Projects embedding googletest
// may want to turn this OFF.)
INSTALL_GTEST:BOOL=OFF

//Install test binaries if BUILD_TEST is on
INSTALL_TEST:BOOL=ON

//Root directory of the Intel Compiler Suite (contains ipp, mkl,
// etc.)
INTEL_COMPILER_DIR:STRING=/opt/intel

//Root directory of the Intel MKL (standalone)
INTEL_MKL_DIR:STRING=/opt/intel/mkl

//Value Computed by CMake
Intel(R) MKL-DNN_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/third_party/ideep/mkl-dnn

//Value Computed by CMake
Intel(R) MKL-DNN_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/third_party/ideep/mkl-dnn

//Path to a library.
LIBFFTW3:FILEPATH=LIBFFTW3-NOTFOUND

//Path to a library.
LIBGMP:FILEPATH=LIBGMP-NOTFOUND

//Path to a library.
LIBM:FILEPATH=/usr/lib/x86_64-linux-gnu/libm.so

//Path to a library.
LIBNVTOOLSEXT:FILEPATH=/home/mnaderan/cuda-10.1.168/lib64/libnvToolsExt.so

//Path to a library.
LIBRT:FILEPATH=/usr/lib/x86_64-linux-gnu/librt.so

//libshm install library directory
LIBSHM_INSTALL_LIB_SUBDIR:PATH=lib

//Path to a library.
LIB_MPFR:FILEPATH=LIB_MPFR-NOTFOUND

//Path to a program.
LLVM_FILECHECK_EXE:FILEPATH=LLVM_FILECHECK_EXE-NOTFOUND

//Path to a file.
MAGMA_INCLUDE_DIR:PATH=MAGMA_INCLUDE_DIR-NOTFOUND

//Path to a library.
MAGMA_LIBRARIES:FILEPATH=MAGMA_LIBRARIES-NOTFOUND

//disables sharing a common scratchpad between primitives.
//\n    This option must be turned on if there is a possibility
// of concurrent
//\n    execution of primitives that were created in the same thread.
//\n    CAUTION: enabling this option increases memory consumption
MKLDNN_ENABLE_CONCURRENT_EXEC:BOOL=OFF

//Path to a file.
MKLDNN_INCLUDE_DIR:PATH=/mnt/local/mnaderan/pt/pytorch/third_party/ideep/mkl-dnn/include

//specifies installation mode; supports DEFAULT or BUNDLE.
//\n
//\n    When BUNDLE option is set MKL-DNN will be installed as a
// bundle
//\n    which contains examples and benchdnn.
//\n    The BUNDLE option requires MKLDNN_USE_MKL be set to FULL:STATIC.
MKLDNN_INSTALL_MODE:STRING=DEFAULT

MKLDNN_LIBRARY_TYPE:STRING=STATIC

MKLDNN_THREADING:STRING=OMP:COMP

//instructs build system to use a Clang sanitizer. Possible values:
//\n    Address: enables AddressSanitizer
//\n    Memory: enables MemorySanitizer
//\n    MemoryWithOrigin: enables MemorySanitizer with origin tracking
//\n    Undefined: enables UndefinedBehaviourSanitizer
//\n    This feature is experimental and is only available on Linux.
MKLDNN_USE_CLANG_SANITIZER:STRING=

MKLDNN_USE_MKL:STRING=NONE

//allows Intel(R) MKL-DNN be verbose whenever MKLDNN_VERBOSE
//\n    environment variable set to 1
MKLDNN_VERBOSE:BOOL=ON

//treat warnings as errors
MKLDNN_WERROR:BOOL=OFF

//Path to a library.
MKL_LIBRARIES_mkl_LIBRARY:FILEPATH=MKL_LIBRARIES_mkl_LIBRARY-NOTFOUND

//Path to a library.
MKL_LIBRARIES_mkl_gf_LIBRARY:FILEPATH=MKL_LIBRARIES_mkl_gf_LIBRARY-NOTFOUND

//Path to a library.
MKL_LIBRARIES_mkl_gf_lp64_LIBRARY:FILEPATH=MKL_LIBRARIES_mkl_gf_lp64_LIBRARY-NOTFOUND

//Path to a library.
MKL_LIBRARIES_mkl_intel_LIBRARY:FILEPATH=MKL_LIBRARIES_mkl_intel_LIBRARY-NOTFOUND

//Path to a library.
MKL_LIBRARIES_mkl_intel_lp64_LIBRARY:FILEPATH=MKL_LIBRARIES_mkl_intel_lp64_LIBRARY-NOTFOUND

//MKL flavor: SEQ, TBB or OMP (default)
MKL_THREADING:STRING=OMP

//Path to a file.
MPFR_INCLUDE_DIR:PATH=MPFR_INCLUDE_DIR-NOTFOUND

//Executable for running MPI programs.
MPIEXEC_EXECUTABLE:FILEPATH=/usr/bin/mpiexec

//Maximum number of processors available to run MPI applications.
MPIEXEC_MAX_NUMPROCS:STRING=24

//Flag used by MPI to specify the number of processes for mpiexec;
// the next option will be the number of processes.
MPIEXEC_NUMPROC_FLAG:STRING=-n

//These flags will be placed after all flags passed to mpiexec.
MPIEXEC_POSTFLAGS:STRING=

//These flags will be directly before the executable that is being
// run by mpiexec.
MPIEXEC_PREFLAGS:STRING=

//MPI CXX additional include directories
MPI_CXX_ADDITIONAL_INCLUDE_DIRS:STRING=/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi;/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent;/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent/include

//MPI compiler for CXX
MPI_CXX_COMPILER:FILEPATH=/usr/bin/mpicxx

//MPI CXX compilation definitions
MPI_CXX_COMPILE_DEFINITIONS:STRING=

//MPI CXX compilation options
MPI_CXX_COMPILE_OPTIONS:STRING=-pthread

//Path to a file.
MPI_CXX_HEADER_DIR:PATH=/usr/lib/x86_64-linux-gnu/openmpi/include

//MPI CXX libraries to link against
MPI_CXX_LIB_NAMES:STRING=mpi_cxx;mpi

//MPI CXX linker flags
MPI_CXX_LINK_FLAGS:STRING=-pthread

//If true, the MPI-2 C++ bindings are disabled using definitions.
MPI_CXX_SKIP_MPICXX:BOOL=FALSE

//MPI C additional include directories
MPI_C_ADDITIONAL_INCLUDE_DIRS:STRING=/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi;/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent;/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent/include

//MPI compiler for C
MPI_C_COMPILER:FILEPATH=/usr/bin/mpicc

//MPI C compilation definitions
MPI_C_COMPILE_DEFINITIONS:STRING=

//MPI C compilation options
MPI_C_COMPILE_OPTIONS:STRING=-pthread

//Path to a file.
MPI_C_HEADER_DIR:PATH=/usr/lib/x86_64-linux-gnu/openmpi/include

//MPI C libraries to link against
MPI_C_LIB_NAMES:STRING=mpi

//MPI C linker flags
MPI_C_LINK_FLAGS:STRING=-pthread

//Location of the mpi library for MPI
MPI_mpi_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi.so

//Location of the mpi_cxx library for MPI
MPI_mpi_cxx_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi_cxx.so

//Path to a file.
NCCL_INCLUDE_DIR:PATH=/home/mnaderan/nccl_2.4.8/include

//Path to a library.
NCCL_LIBRARY:FILEPATH=/home/mnaderan/nccl_2.4.8/lib/libnccl.so

//Folder contains NVIDIA NCCL
NCCL_ROOT_DIR:PATH=/home/mnaderan/nccl_2.4.8

//disable asserts (WARNING: this may result in silent UB e.g. with
// out-of-bound indices)
NDEBUG:BOOL=OFF

//NEON available on host
NEON_FOUND:BOOL=false

//Backend for micro-kernels implementation
NNPACK_BACKEND:STRING=auto

//Value Computed by CMake
NNPACK_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/confu-deps/NNPACK

NNPACK_BUILD_BENCHMARKS:BOOL=OFF

//Build NNPACK unit tests
NNPACK_BUILD_TESTS:BOOL=OFF

//Build only NNPACK functions for convolutional layer
NNPACK_CONVOLUTION_ONLY:BOOL=OFF

//Build NNPACK for custom thread pool
NNPACK_CUSTOM_THREADPOOL:BOOL=ON

//Build only NNPACK functions for inference
NNPACK_INFERENCE_ONLY:BOOL=OFF

NNPACK_LIBRARY_TYPE:STRING=static

//Value Computed by CMake
NNPACK_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/third_party/NNPACK

//No help, variable specified on the command line.
NUMPY_INCLUDE_DIR:UNINITIALIZED=/home/mnaderan/.local/lib/python3.6/site-packages/numpy/core/include

//Path to a file.
Numa_INCLUDE_DIR:PATH=/usr/include

//Path to a library.
Numa_LIBRARIES:FILEPATH=/usr/lib/x86_64-linux-gnu/libnuma.so

//Path to a program.
OMPI_INFO:FILEPATH=/usr/bin/ompi_info

//Use dummy backend in onnxifi test driver.
ONNXIFI_DUMMY_BACKEND:BOOL=OFF

//Enable onnxifi extensions.
ONNXIFI_ENABLE_EXT:BOOL=OFF

//Build ONNX micro-benchmarks
ONNX_BUILD_BENCHMARKS:BOOL=OFF

//Build ONNX C++ APIs Tests
ONNX_BUILD_TESTS:BOOL=OFF

//Build with coverage instrumentation
ONNX_COVERAGE:BOOL=OFF

//Generate protobuf python type stubs
ONNX_GEN_PB_TYPE_STUBS:BOOL=ON

//A namespace for ONNX; needed to build with other frameworks that
// share ONNX.
ONNX_NAMESPACE:STRING=onnx_torch

//Use lite protobuf instead of full.
ONNX_USE_LITE_PROTO:BOOL=OFF

//Build ONNX using protobuf shared library. Sets PROTOBUF_USE_DLLS
// CMAKE Flag 
ONNX_USE_PROTOBUF_SHARED_LIBS:BOOL=OFF

//Generate code by proto3
ONNX_VERIFY_PROTO3:BOOL=OFF

//Build with Werror
ONNX_WERROR:BOOL=OFF

//OpenMP Support found
OPENMP_FOUND:BOOL=TRUE

//Path to a library.
OPENSSL_CRYPTO_LIBRARY:FILEPATH=OPENSSL_CRYPTO_LIBRARY-NOTFOUND

//Path to a file.
OPENSSL_INCLUDE_DIR:PATH=OPENSSL_INCLUDE_DIR-NOTFOUND

//Path to a library.
OPENSSL_SSL_LIBRARY:FILEPATH=OPENSSL_SSL_LIBRARY-NOTFOUND

//CXX compiler flags for OpenMP parallelization
OpenMP_CXX_FLAGS:STRING=-fopenmp

//CXX compiler libraries for OpenMP parallelization
OpenMP_CXX_LIB_NAMES:STRING=gomp;pthread

//C compiler flags for OpenMP parallelization
OpenMP_C_FLAGS:STRING=-fopenmp

//C compiler libraries for OpenMP parallelization
OpenMP_C_LIB_NAMES:STRING=gomp;pthread

//Path to the gomp library for OpenMP
OpenMP_gomp_LIBRARY:FILEPATH=/usr/lib/gcc/x86_64-linux-gnu/7/libgomp.so

//Path to the pthread library for OpenMP
OpenMP_pthread_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/libpthread.so

//pkg-config executable
PKG_CONFIG_EXECUTABLE:FILEPATH=/usr/bin/pkg-config

//PSimd source directory
PSIMD_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/psimd

//Build pthreadpool micro-benchmarks
PTHREADPOOL_BUILD_BENCHMARKS:BOOL=OFF

//Build pthreadpool unit tests
PTHREADPOOL_BUILD_TESTS:BOOL=OFF

PTHREADPOOL_LIBRARY_TYPE:STRING=static

//pthreadpool source directory
PTHREADPOOL_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/pthreadpool

//enum34 (Python package) source directory
PYTHON_ENUM_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/python-enum

//Path to a program.
PYTHON_EXECUTABLE:FILEPATH=/usr/bin/python3

//Path to a file.
PYTHON_INCLUDE_DIR:PATH=/usr/include/python3.6m

//Path to a library.
PYTHON_LIBRARY:FILEPATH=/usr/lib/libpython3.6m.so.1.0

//Path to a library.
PYTHON_LIBRARY_DEBUG:FILEPATH=PYTHON_LIBRARY_DEBUG-NOTFOUND

//Python installation path (relative to CMake installation prefix)
PYTHON_LIB_REL_PATH:STRING=lib/python3/dist-packages

//PeachPy (Python package) source directory
PYTHON_PEACHPY_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/python-peachpy

//six (Python package) source directory
PYTHON_SIX_SOURCE_DIR:STRING=/mnt/local/mnaderan/pt/pytorch/third_party/python-six

//Value Computed by CMake
PYTORCH_QNNPACK_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/confu-deps/pytorch_qnnpack

//Build QNNPACK benchmarks
PYTORCH_QNNPACK_BUILD_BENCHMARKS:BOOL=OFF

//Build QNNPACK unit tests
PYTORCH_QNNPACK_BUILD_TESTS:BOOL=OFF

//Build QNNPACK for custom thread pool
PYTORCH_QNNPACK_CUSTOM_THREADPOOL:BOOL=ON

PYTORCH_QNNPACK_LIBRARY_TYPE:STRING=static

//Value Computed by CMake
PYTORCH_QNNPACK_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/aten/src/ATen/native/quantized/cpu/qnnpack

//Value Computed by CMake
QNNPACK_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/confu-deps/QNNPACK

//Build QNNPACK benchmarks
QNNPACK_BUILD_BENCHMARKS:BOOL=OFF

//Build QNNPACK unit tests
QNNPACK_BUILD_TESTS:BOOL=OFF

//Build QNNPACK for custom thread pool
QNNPACK_CUSTOM_THREADPOOL:BOOL=ON

QNNPACK_LIBRARY_TYPE:STRING=static

//Value Computed by CMake
QNNPACK_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/third_party/QNNPACK

//Path to a program.
SDE_COMMAND:FILEPATH=SDE_COMMAND-NOTFOUND

//Path to the yaml file that contains the list of operators to
// include for custom build. Include all operators by default.
SELECTED_OP_LIST:STRING=

//Value Computed by CMake
SLEEF_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/sleef

//Path for finding sleef specific cmake scripts
SLEEF_SCRIPT_PATH:PATH=/mnt/local/mnaderan/pt/pytorch/third_party/sleef/cmake/Scripts

//Show SLEEF configuration status messages.
SLEEF_SHOW_CONFIG:BOOL=ON

//Show cmake error log.
SLEEF_SHOW_ERROR_LOG:BOOL=OFF

//Value Computed by CMake
SLEEF_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/third_party/sleef

//List of SIMD architectures supported by libsleef.
SLEEF_SUPPORTED_EXTENSIONS:STRING=AVX512F;AVX512FNOFMA;AVX2;AVX2128;FMA4;AVX;SSE4;SSE2;ADVSIMD;ADVSIMDNOFMA;SVE;SVENOFMA;NEON32;NEON32VFPV4;VSX;VSXNOFMA;PUREC_SCALAR;PURECFMA_SCALAR

//List of SIMD architectures supported by libsleef for GNU ABI.
SLEEF_SUPPORTED_GNUABI_EXTENSIONS:STRING=SSE2;AVX;AVX2;AVX512F;ADVSIMD;SVE

//Perform tests on implementations with all vector extensions
SLEEF_TEST_ALL_IUT:BOOL=OFF

//Torch build version
TORCH_BUILD_VERSION:STRING=1.4.0a0+2488231

//Use Address Sanitizer
USE_ASAN:BOOL=OFF

//USE C10D GLOO
USE_C10D_GLOO:BOOL=ON

//USE C10D MPI
USE_C10D_MPI:BOOL=ON

//USE C10D NCCL
USE_C10D_NCCL:BOOL=ON

//Use CUDA
USE_CUDA:BOOL=ON

//Use cuDNN
USE_CUDNN:BOOL=ON

//Use distributed
USE_DISTRIBUTED:BOOL=ON

//Use FBGEMM (quantized 8-bit server operators)
USE_FBGEMM:BOOL=ON

//Use ffmpeg
USE_FFMPEG:BOOL=OFF

//Use GFLAGS
USE_GFLAGS:BOOL=OFF

//Use GLOG
USE_GLOG:BOOL=OFF

//Use Gloo. Only available if USE_DISTRIBUTED is on.
USE_GLOO:BOOL=ON

//Support ibverbs transport
USE_IBVERBS:BOOL=OFF

//Use LEVELDB
USE_LEVELDB:BOOL=OFF

//Build libuv transport
USE_LIBUV:BOOL=OFF

//Use lite protobuf instead of full.
USE_LITE_PROTO:BOOL=OFF

//Use LMDB
USE_LMDB:BOOL=OFF

//Use Metal for iOS build
USE_METAL:BOOL=OFF

//Use MKLDNN. Only available on x86 and x86_64.
USE_MKLDNN:BOOL=ON

//Use CBLAS in MKLDNN
USE_MKLDNN_CBLAS:BOOL=OFF

//Use MPI for Caffe2. Only available if USE_DISTRIBUTED is on.
USE_MPI:BOOL=ON

//Use -march=native
USE_NATIVE_ARCH:BOOL=OFF

//Support using NCCL for local collectives
USE_NCCL:BOOL=ON

//Use NNAPI
USE_NNAPI:BOOL=OFF

//Use NNPACK
USE_NNPACK:BOOL=ON

//Use NUMA. Only available on Linux.
USE_NUMA:BOOL=ON

//Use NumPy
USE_NUMPY:BOOL=ON

//Use NVRTC. Only available if USE_CUDA is on.
USE_NVRTC:BOOL=OFF

//Use observers module.
USE_OBSERVERS:BOOL=ON

//Use OpenCL
USE_OPENCL:BOOL=OFF

//Use OpenCV
USE_OPENCV:BOOL=OFF

//Use OpenMP for parallel code
USE_OPENMP:BOOL=ON

//Use profiling
USE_PROF:BOOL=OFF

//Use ATen/QNNPACK (quantized 8-bit operators)
USE_PYTORCH_QNNPACK:BOOL=ON

//Use QNNPACK (quantized 8-bit operators)
USE_QNNPACK:BOOL=ON

//Support using RCCL for local collectives
USE_RCCL:BOOL=OFF

//Support using Redis for rendezvous
USE_REDIS:BOOL=OFF

//Use RocksDB
USE_ROCKSDB:BOOL=OFF

//Use ROCm
USE_ROCM:BOOL=OFF

//Use Qualcomm's SNPE library
USE_SNPE:BOOL=OFF

//Use cuDNN static libraries
USE_STATIC_CUDNN:BOOL=OFF

//Use static dispatch for ATen operators
USE_STATIC_DISPATCH:BOOL=OFF

//Use static NCCL
USE_STATIC_NCCL:BOOL=OFF

//Use system Eigen instead of the one under third_party
USE_SYSTEM_EIGEN_INSTALL:BOOL=OFF

//Use system-wide NCCL
USE_SYSTEM_NCCL:BOOL=OFF

//Use TBB
USE_TBB:BOOL=OFF

//Using Nvidia TensorRT library
USE_TENSORRT:BOOL=OFF

//Use ZMQ
USE_ZMQ:BOOL=OFF

//Use ZSTD
USE_ZSTD:BOOL=OFF

//path to Intel(R) VTune(tm) Amplifier.
//\n    Required to register Intel(R) MKL-DNN kernels that are generated
// at
//\n    runtime, otherwise the profile would not be able to track
// the kernels and
//\n    would report `outside any known module`.
VTUNEROOT:STRING=

//Blas type [mkl/open/goto/acml/atlas/accelerate/veclib/generic]
WITH_BLAS:STRING=

//builds examples
WITH_EXAMPLE:BOOL=FALSE

//OpenMP support if available?
WITH_OPENMP:BOOL=ON

//builds tests
WITH_TEST:BOOL=FALSE

//Path to a file.
__header_dir:PATH=__header_dir-NOTFOUND

//Dependencies for the target
asmjit_LIB_DEPENDS:STATIC=general;pthread;general;rt;

//Value Computed by CMake
benchmark_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/third_party/benchmark

//Dependencies for the target
benchmark_LIB_DEPENDS:STATIC=general;-pthread;general;/usr/lib/x86_64-linux-gnu/librt.so;

//Value Computed by CMake
benchmark_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/third_party/benchmark

//Dependencies for the target
benchmark_main_LIB_DEPENDS:STATIC=general;benchmark;

//Value Computed by CMake
c10_BINARY_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/build/c10

//Dependencies for the target
c10_LIB_DEPENDS:STATIC=general;/usr/lib/x86_64-linux-gnu/libnuma.so;

//Value Computed by CMake
c10_SOURCE_DIR:STATIC=/mnt/local/mnaderan/pt/pytorch/c10

//Dependencies for the target
c10_cuda_LIB_DEPENDS:STATIC=general;/home/mnaderan/cuda-10.1.168/lib64/libcudart.so;general;c10;

//Dependencies for the target
c10d_LIB_DEPENDS:STATIC=general;torch;general;/usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi_cxx.so;general;/usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi.so;general;gloo;general;gloo_cuda;

//Dependencies for the target
c10d_cuda_test_LIB_DEPENDS:STATIC=general;/home/mnaderan/cuda-10.1.168/lib64/libcudart.so;general;c10d;

//Dependencies for the target
caffe2_detectron_ops_gpu_LIB_DEPENDS:STATIC=general;/home/mnaderan/cuda-10.1.168/lib64/libcudart.so;general;torch;general;/usr/lib/gcc/x86_64-linux-gnu/7/libgomp.so;general;/usr/lib/x86_64-linux-gnu/libpthread.so;

//Dependencies for target
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//Result of TRY_COMPILE
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//Result of TRY_RUN
COMPILER_WORKS_EXITCODE:INTERNAL=0
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//Result of TRY_COMPILE
COMPILE_HAVE_POSIX_REGEX:INTERNAL=TRUE
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```