I cannot install ideep4py on OSX.
However, another error occurs as bellow.
running install
Installing ...
CMake Warning (dev) at CMakeLists.txt:3 (project):
Policy CMP0048 is not set: project() command manages VERSION variables.
Run "cmake --help-policy CMP0048" for policy details. Use the cmake_policy
command to set the policy and suppress this warning.
The following variable(s) would be set to empty:
CMAKE_PROJECT_VERSION
CMAKE_PROJECT_VERSION_MAJOR
CMAKE_PROJECT_VERSION_MINOR
CMAKE_PROJECT_VERSION_PATCH
This warning is for project developers. Use -Wno-dev to suppress it.
-- VTune profiling environment is unset
CMake Deprecation Warning at mkl-dnn/CMakeLists.txt:21 (cmake_policy):
The OLD behavior for policy CMP0048 will be removed from a future version
of CMake.
The cmake-policies(7) manual explains that the OLD behaviors of all
policies are deprecated and that a policy should be set to OLD only under
specific short-term circumstances. Projects should be ported to the NEW
behavior and not rely on setting a policy to OLD.
CMake Deprecation Warning at mkl-dnn/CMakeLists.txt:22 (cmake_policy):
The OLD behavior for policy CMP0054 will be removed from a future version
of CMake.
The cmake-policies(7) manual explains that the OLD behaviors of all
policies are deprecated and that a policy should be set to OLD only under
specific short-term circumstances. Projects should be ported to the NEW
behavior and not rely on setting a policy to OLD.
-- CMAKE_BUILD_TYPE is unset, defaulting to Release
-- Detecting Intel(R) MKL: trying mklml_intel
-- Intel(R) MKL: include /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/include
-- Intel(R) MKL: lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libmklml.dylib
-- Intel(R) MKL: OpenMP lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libiomp5.dylib
-- Could NOT find OpenMP_C (missing: OpenMP_C_FLAGS OpenMP_C_LIB_NAMES)
-- Could NOT find OpenMP_CXX (missing: OpenMP_CXX_FLAGS OpenMP_CXX_LIB_NAMES)
-- Could NOT find OpenMP (missing: OpenMP_C_FOUND OpenMP_CXX_FOUND)
-- VTune profiling environment is unset
-- Detecting Intel(R) MKL: trying mklml_intel
-- Intel(R) MKL: include /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/include
-- Intel(R) MKL: lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libmklml.dylib
-- Intel(R) MKL: OpenMP lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libiomp5.dylib
-- Configuring done
-- Generating done
-- Build files have been written to: /Users/nogu-atsu/ideep/build
[ 0%] Linking CXX shared library libmkldnn.dylib
Undefined symbols for architecture x86_64:
"_cblas_gemm_s8u8s32", referenced from:
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)1>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)2>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)5>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)6>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)1>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)2>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)5>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
...
"_cblas_saxpy", referenced from:
mkldnn::impl::cpu::gemm_inner_product_fwd_t<(mkldnn_data_type_t)1>::execute_forward() in gemm_inner_product.cpp.o
"_cblas_sgemm", referenced from:
mkldnn::impl::cpu::_gemm_convolution_fwd_t<true, false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_forward() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_fwd_t<false, false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_forward() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_bwd_data_t<false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_backward_data() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_bwd_weights_t<false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_backward_weights() in gemm_convolution.cpp.o
mkldnn::impl::cpu::gemm_inner_product_fwd_t<(mkldnn_data_type_t)1>::execute_forward() in gemm_inner_product.cpp.o
mkldnn::impl::cpu::gemm_inner_product_bwd_data_t<(mkldnn_data_type_t)1>::execute_backward_data() in gemm_inner_product.cpp.o
mkldnn::impl::cpu::gemm_inner_product_bwd_weights_t<(mkldnn_data_type_t)1>::execute_backward_weights() in gemm_inner_product.cpp.o
...
"_cblas_sgemm_alloc", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
"_cblas_sgemm_compute", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::packed_gemm(int, int, int, int, int, int, int, int, int, float const*, float*, float*, bool, float) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::packed_gemm(int, int, int, int, int, int, int, int, int, float const*, float*, float*, bool, float) in ref_rnn.cpp.o
"_cblas_sgemm_free", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::free_packed_weights(int, int, float**) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::free_packed_weights(int, int, float**) in ref_rnn.cpp.o
"_cblas_sgemm_pack", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
"_cblas_sscal", referenced from:
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::execute_forward_dense() in ref_softmax.cpp.o
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::_scal(int, float, float*) in ref_softmax.cpp.o
"_vsExp", referenced from:
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::execute_forward_dense() in ref_softmax.cpp.o
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::_exp(int, float const*, float*) in ref_softmax.cpp.o
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make[2]: *** [mkl-dnn/src/libmkldnn.0.14.0.dylib] Error 1
make[1]: *** [mkl-dnn/src/CMakeFiles/mkldnn.dir/all] Error 2
make: *** [all] Error 2
running build
Installing ...
CMake Warning (dev) at CMakeLists.txt:3 (project):
Policy CMP0048 is not set: project() command manages VERSION variables.
Run "cmake --help-policy CMP0048" for policy details. Use the cmake_policy
command to set the policy and suppress this warning.
The following variable(s) would be set to empty:
CMAKE_PROJECT_VERSION
CMAKE_PROJECT_VERSION_MAJOR
CMAKE_PROJECT_VERSION_MINOR
CMAKE_PROJECT_VERSION_PATCH
This warning is for project developers. Use -Wno-dev to suppress it.
-- VTune profiling environment is unset
CMake Deprecation Warning at mkl-dnn/CMakeLists.txt:21 (cmake_policy):
The OLD behavior for policy CMP0048 will be removed from a future version
of CMake.
The cmake-policies(7) manual explains that the OLD behaviors of all
policies are deprecated and that a policy should be set to OLD only under
specific short-term circumstances. Projects should be ported to the NEW
behavior and not rely on setting a policy to OLD.
CMake Deprecation Warning at mkl-dnn/CMakeLists.txt:22 (cmake_policy):
The OLD behavior for policy CMP0054 will be removed from a future version
of CMake.
The cmake-policies(7) manual explains that the OLD behaviors of all
policies are deprecated and that a policy should be set to OLD only under
specific short-term circumstances. Projects should be ported to the NEW
behavior and not rely on setting a policy to OLD.
-- CMAKE_BUILD_TYPE is unset, defaulting to Release
-- Detecting Intel(R) MKL: trying mklml_intel
-- Intel(R) MKL: include /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/include
-- Intel(R) MKL: lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libmklml.dylib
-- Intel(R) MKL: OpenMP lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libiomp5.dylib
-- Could NOT find OpenMP_C (missing: OpenMP_C_FLAGS OpenMP_C_LIB_NAMES)
-- Could NOT find OpenMP_CXX (missing: OpenMP_CXX_FLAGS OpenMP_CXX_LIB_NAMES)
-- Could NOT find OpenMP (missing: OpenMP_C_FOUND OpenMP_CXX_FOUND)
-- VTune profiling environment is unset
-- Detecting Intel(R) MKL: trying mklml_intel
-- Intel(R) MKL: include /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/include
-- Intel(R) MKL: lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libmklml.dylib
-- Intel(R) MKL: OpenMP lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libiomp5.dylib
-- Configuring done
-- Generating done
-- Build files have been written to: /Users/nogu-atsu/ideep/build
[ 0%] Linking CXX shared library libmkldnn.dylib
Undefined symbols for architecture x86_64:
"_cblas_gemm_s8u8s32", referenced from:
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)1>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)2>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)5>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)6>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)1>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)2>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)5>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
...
"_cblas_saxpy", referenced from:
mkldnn::impl::cpu::gemm_inner_product_fwd_t<(mkldnn_data_type_t)1>::execute_forward() in gemm_inner_product.cpp.o
"_cblas_sgemm", referenced from:
mkldnn::impl::cpu::_gemm_convolution_fwd_t<true, false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_forward() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_fwd_t<false, false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_forward() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_bwd_data_t<false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_backward_data() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_bwd_weights_t<false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_backward_weights() in gemm_convolution.cpp.o
mkldnn::impl::cpu::gemm_inner_product_fwd_t<(mkldnn_data_type_t)1>::execute_forward() in gemm_inner_product.cpp.o
mkldnn::impl::cpu::gemm_inner_product_bwd_data_t<(mkldnn_data_type_t)1>::execute_backward_data() in gemm_inner_product.cpp.o
mkldnn::impl::cpu::gemm_inner_product_bwd_weights_t<(mkldnn_data_type_t)1>::execute_backward_weights() in gemm_inner_product.cpp.o
...
"_cblas_sgemm_alloc", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
"_cblas_sgemm_compute", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::packed_gemm(int, int, int, int, int, int, int, int, int, float const*, float*, float*, bool, float) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::packed_gemm(int, int, int, int, int, int, int, int, int, float const*, float*, float*, bool, float) in ref_rnn.cpp.o
"_cblas_sgemm_free", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::free_packed_weights(int, int, float**) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::free_packed_weights(int, int, float**) in ref_rnn.cpp.o
"_cblas_sgemm_pack", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
"_cblas_sscal", referenced from:
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::execute_forward_dense() in ref_softmax.cpp.o
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::_scal(int, float, float*) in ref_softmax.cpp.o
"_vsExp", referenced from:
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::execute_forward_dense() in ref_softmax.cpp.o
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::_exp(int, float const*, float*) in ref_softmax.cpp.o
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make[2]: *** [mkl-dnn/src/libmkldnn.0.14.0.dylib] Error 1
make[1]: *** [mkl-dnn/src/CMakeFiles/mkldnn.dir/all] Error 2
make: *** [all] Error 2
running build_py
running build_ext
Installing ...
CMake Warning (dev) at CMakeLists.txt:3 (project):
Policy CMP0048 is not set: project() command manages VERSION variables.
Run "cmake --help-policy CMP0048" for policy details. Use the cmake_policy
command to set the policy and suppress this warning.
The following variable(s) would be set to empty:
CMAKE_PROJECT_VERSION
CMAKE_PROJECT_VERSION_MAJOR
CMAKE_PROJECT_VERSION_MINOR
CMAKE_PROJECT_VERSION_PATCH
This warning is for project developers. Use -Wno-dev to suppress it.
-- VTune profiling environment is unset
CMake Deprecation Warning at mkl-dnn/CMakeLists.txt:21 (cmake_policy):
The OLD behavior for policy CMP0048 will be removed from a future version
of CMake.
The cmake-policies(7) manual explains that the OLD behaviors of all
policies are deprecated and that a policy should be set to OLD only under
specific short-term circumstances. Projects should be ported to the NEW
behavior and not rely on setting a policy to OLD.
CMake Deprecation Warning at mkl-dnn/CMakeLists.txt:22 (cmake_policy):
The OLD behavior for policy CMP0054 will be removed from a future version
of CMake.
The cmake-policies(7) manual explains that the OLD behaviors of all
policies are deprecated and that a policy should be set to OLD only under
specific short-term circumstances. Projects should be ported to the NEW
behavior and not rely on setting a policy to OLD.
-- CMAKE_BUILD_TYPE is unset, defaulting to Release
-- Detecting Intel(R) MKL: trying mklml_intel
-- Intel(R) MKL: include /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/include
-- Intel(R) MKL: lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libmklml.dylib
-- Intel(R) MKL: OpenMP lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libiomp5.dylib
-- Could NOT find OpenMP_C (missing: OpenMP_C_FLAGS OpenMP_C_LIB_NAMES)
-- Could NOT find OpenMP_CXX (missing: OpenMP_CXX_FLAGS OpenMP_CXX_LIB_NAMES)
-- Could NOT find OpenMP (missing: OpenMP_C_FOUND OpenMP_CXX_FOUND)
-- VTune profiling environment is unset
-- Detecting Intel(R) MKL: trying mklml_intel
-- Intel(R) MKL: include /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/include
-- Intel(R) MKL: lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libmklml.dylib
-- Intel(R) MKL: OpenMP lib /Users/nogu-atsu/ideep/mkl-dnn/external/mklml_mac_2018.0.3.20180406/lib/libiomp5.dylib
-- Configuring done
-- Generating done
-- Build files have been written to: /Users/nogu-atsu/ideep/build
[ 0%] Linking CXX shared library libmkldnn.dylib
Undefined symbols for architecture x86_64:
"_cblas_gemm_s8u8s32", referenced from:
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)1>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)2>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)5>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<true, (mkldnn_data_type_t)6>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)1>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)2>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
mkldnn::impl::cpu::_gemm_u8s8s32x_convolution_fwd_t<false, (mkldnn_data_type_t)5>::execute_forward() in gemm_u8s8s32x_convolution.cpp.o
...
"_cblas_saxpy", referenced from:
mkldnn::impl::cpu::gemm_inner_product_fwd_t<(mkldnn_data_type_t)1>::execute_forward() in gemm_inner_product.cpp.o
"_cblas_sgemm", referenced from:
mkldnn::impl::cpu::_gemm_convolution_fwd_t<true, false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_forward() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_fwd_t<false, false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_forward() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_bwd_data_t<false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_backward_data() in gemm_convolution.cpp.o
mkldnn::impl::cpu::_gemm_convolution_bwd_weights_t<false, (mkldnn::impl::cpu::cpu_isa_t)0>::execute_backward_weights() in gemm_convolution.cpp.o
mkldnn::impl::cpu::gemm_inner_product_fwd_t<(mkldnn_data_type_t)1>::execute_forward() in gemm_inner_product.cpp.o
mkldnn::impl::cpu::gemm_inner_product_bwd_data_t<(mkldnn_data_type_t)1>::execute_backward_data() in gemm_inner_product.cpp.o
mkldnn::impl::cpu::gemm_inner_product_bwd_weights_t<(mkldnn_data_type_t)1>::execute_backward_weights() in gemm_inner_product.cpp.o
...
"_cblas_sgemm_alloc", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
"_cblas_sgemm_compute", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::packed_gemm(int, int, int, int, int, int, int, int, int, float const*, float*, float*, bool, float) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::packed_gemm(int, int, int, int, int, int, int, int, int, float const*, float*, float*, bool, float) in ref_rnn.cpp.o
"_cblas_sgemm_free", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::free_packed_weights(int, int, float**) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::free_packed_weights(int, int, float**) in ref_rnn.cpp.o
"_cblas_sgemm_pack", referenced from:
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)64>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
mkldnn::impl::cpu::_ref_rnn_common_t<(mkldnn_prop_kind_t)128>::pack_weights(int, int, int, int, int, int, int, float**, float const*) in ref_rnn.cpp.o
"_cblas_sscal", referenced from:
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::execute_forward_dense() in ref_softmax.cpp.o
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::_scal(int, float, float*) in ref_softmax.cpp.o
"_vsExp", referenced from:
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::execute_forward_dense() in ref_softmax.cpp.o
mkldnn::impl::cpu::ref_softmax_fwd_t<(mkldnn_data_type_t)1>::_exp(int, float const*, float*) in ref_softmax.cpp.o
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make[2]: *** [mkl-dnn/src/libmkldnn.0.14.0.dylib] Error 1
make[1]: *** [mkl-dnn/src/CMakeFiles/mkldnn.dir/all] Error 2
make: *** [all] Error 2
building 'ideep4py._ideep4py' extension
swigging ideep4py/py/ideep4py.i to ideep4py/py/ideep4py_wrap.cpp
swig -python -c++ -builtin -modern -modernargs -Iideep4py/py/mm -Iideep4py/py/primitives -Iideep4py/py/swig_utils -o ideep4py/py/ideep4py_wrap.cpp ideep4py/py/ideep4py.i
gcc -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -stdlib=libc++ -Iideep4py/include -Iideep4py/include/mklml -Iideep4py/include/ideep -Iideep4py/py/mm -Iideep4py/py/primitives -I/Users/nogu-atsu/.pyenv/versions/anaconda3-4.3.1/include/python3.6m -I/Users/nogu-atsu/.pyenv/versions/anaconda3-4.3.1/lib/python3.6/site-packages/numpy/core/include -c ideep4py/py/ideep4py_wrap.cpp -o build/temp.macosx-10.7-x86_64-3.6/ideep4py/py/ideep4py_wrap.o -std=c++11 -Wno-unknown-pragmas -march=native -mtune=native -D_TENSOR_MEM_ALIGNMENT_=4096
In file included from ideep4py/py/ideep4py_wrap.cpp:3920:
ideep4py/py/mm/mdarray.h:41:10: fatal error: 'ideep.hpp' file not found
#include "ideep.hpp"
^~~~~~~~~~~
1 error generated.
error: command 'gcc' failed with exit status 1