Issue 1:
🐛 Bug

A CRNN model with [1,1,32, w] input can get correct predict result in iOS simulator , but when I use iOS device , predict result is no correct.

I have checked the model in ubuntu, Android simulator and Android device. They all no problem.

I am using pod install libtorch=1.5.0. I also try 1.4.0 and got same result.

Is there any different between libtorch 1.5.0 x86_64 and arm64 version?

My iOS code is based on https://github.com/pytorch/ios-demo-app/tree/master/HelloWorld

I only modify model and input image shape.

Environment

XCode 11.4

iOS simulator (predict OK) & iPhone 11 device (predict NG)

pod install libtorch 1.5.0 & 1.4.0

my CRNN model:

https://drive.google.com/uc?export=download&confirm=WNrX&id=1xb5-icIM1Rpd6f-Aaut1HNDcJfEZuc9X

Issue 2:
C:\Users\bhave\pytorch\scripts>build_windows.bat
The system cannot find the drive specified.
Requirement already satisfied: pyyaml in c:\python27\lib\site-packages
You are using pip version 9.0.1, however version 19.1.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
CAFFE2_ROOT=C:\Users\bhave\pytorch\scripts\..
CMAKE_GENERATOR=Visual Studio 16 2019
CMAKE_BUILD_TYPE=Release
cmake -GNinja -DMSVC_Z7_OVERRIDE=False -DBUILDING_WITH_TORCH_LIBS=OFF -DBUILD_BINARY=OFF -DBUILD_PYTHON=False -DBUILD_SHARED_LIBS=OFF -DBUILD_TEST=True -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_FLAGS= /EHa -DCMAKE_C_FLAGS= /EHa -DCMAKE_EXE_LINKER_FLAGS= -DCMAKE_INSTALL_PREFIX=C:\Users\bhave\pytorch\torch -DCMAKE_PREFIX_PATH=C:\Python27\Lib\site-packages -DCMAKE_SHARED_LINKER_FLAGS= -DINSTALL_TEST=True -DNAMEDTENSOR_ENABLED=False -DNCCL_EXTERNAL=False -DNUMPY_INCLUDE_DIR=C:/Python27/lib/site-packages/numpy/core/include -DONNX_NAMESPACE=onnx_c2 -DPYTHON_EXECUTABLE=C:/Python27/python.exe -DPYTHON_INCLUDE_DIR=C:/Python27/include -DUSE_CUDA=False -DUSE_DISTRIBUTED=False -DUSE_FBGEMM=True -DUSE_MKLDNN=True -DUSE_NCCL=False -DUSE_NNPACK=True -DUSE_NUMPY=True -DUSE_OBSERVERS=OFF -DUSE_QNNPACK=True -DUSE_ROCM=False -DUSE_SYSTEM_EIGEN_INSTALL=OFF -DUSE_SYSTEM_NCCL=False -DMKLDNN_ENABLE_CONCURRENT_EXEC=ON C:\Users\bhave\pytorch
-- The CXX compiler identification is MSVC 19.21.27702.2
-- The C compiler identification is MSVC 19.21.27702.2
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.21.27702/bin/Hostx86/x86/cl.exe
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.21.27702/bin/Hostx86/x86/cl.exe -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
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-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.21.27702/bin/Hostx86/x86/cl.exe
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.21.27702/bin/Hostx86/x86/cl.exe -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
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-- Not forcing any particular BLAS to be found
-- Performing Test COMPILER_WORKS
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-- std::exception_ptr is supported.
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-- Performing Test CAFFE2_IS_NUMA_AVAILABLE - Failed
-- NUMA is not available
-- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING
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-- Current compiler supports avx512f extension. Will build fbgemm.
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Failed
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-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Failed
-- Performing Test COMPILER_SUPPORTS_RDYNAMIC
-- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Failed
-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
-- Looking for pthread.h
-- Looking for pthread.h - not found
-- Found Threads: TRUE
-- Caffe2 protobuf include directory: $<BUILD_INTERFACE:C:/Users/bhave/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
-- Trying to find preferred BLAS backend of choice: MKL
-- MKL_THREADING = OMP
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
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-- MKL_THREADING = OMP
CMake Warning at cmake/Dependencies.cmake:143 (message):
MKL could not be found. Defaulting to Eigen
Call Stack (most recent call first):
CMakeLists.txt:270 (include)

CMake Warning at cmake/Dependencies.cmake:162 (message):
Preferred BLAS (MKL) cannot be found, now searching for a general BLAS
library
Call Stack (most recent call first):
CMakeLists.txt:270 (include)

-- MKL_THREADING = OMP
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
-- Library mkl_intel: not found
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-- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND
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-- Checking for [openblas - pthread]
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-- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
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-- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
-- Checking for [blas]
-- Library blas: BLAS_blas_LIBRARY-NOTFOUND
-- Cannot find a library with BLAS API. Not using BLAS.
CMake Warning at cmake/Dependencies.cmake:211 (message):
Target platform "Windows" is not supported in QNNPACK. Supported platforms
are Android, iOS, Linux, and macOS. Turn this warning off by
USE_QNNPACK=OFF.
Call Stack (most recent call first):
CMakeLists.txt:270 (include)

CMake Warning at cmake/External/nnpack.cmake:21 (message):
NNPACK not supported on MSVC yet. Turn this warning off by USE_NNPACK=OFF.
Call Stack (most recent call first):
cmake/Dependencies.cmake:279 (include)
CMakeLists.txt:270 (include)

CMake Warning at cmake/Dependencies.cmake:289 (message):
Not compiling with NNPACK. Suppress this warning with -DUSE_NNPACK=OFF
Call Stack (most recent call first):
CMakeLists.txt:270 (include)

-- Found PythonInterp: C:/Python27/python.exe (found version "2.7.14")
-- Found Git: C:/Program Files/Git/cmd/git.exe (found version "2.22.0.windows.1")
-- git Version: v1.4.0-505be96a
-- Version: 1.4.0
-- Performing Test HAVE_STD_REGEX
-- Performing Test HAVE_STD_REGEX
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-- Performing Test HAVE_GNU_POSIX_REGEX
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CMake Warning at cmake/Dependencies.cmake:505 (message):
NUMA is currently only supported under Linux.
Call Stack (most recent call first):
CMakeLists.txt:270 (include)

-- Downloading PSimd to C:/Users/bhave/pytorch/build/confu-srcs/psimd (define PSIMD_SOURCE_DIR to avoid it)
-- Configuring done
-- Generating done
-- Build files have been written to: C:/Users/bhave/pytorch/build/confu-deps/psimd-download
[1/6] Performing update step for 'psimd'
Current branch master is up to date.
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[6/6] Completed 'psimd'
-- Using third party subdirectory Eigen.
-- Could NOT find pybind11 (missing: pybind11_DIR)
-- Could NOT find pybind11 (missing: pybind11_INCLUDE_DIR)
-- Using third_party/pybind11.
-- MKL_THREADING = OMP
-- MKL_THREADING = OMP
-- Adding OpenMP CXX_FLAGS: -openmp:experimental
-- No OpenMP library needs to be linked against
CMake Warning at cmake/Dependencies.cmake:1012 (message):
Metal is only used in ios builds.
Call Stack (most recent call first):
CMakeLists.txt:270 (include)

--
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--
-- Protobuf compiler :
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-- Could not find CUDA with FP16 support, compiling without torch.CudaHalfTensor
-- Removing -DNDEBUG from compile flags
-- MAGMA not found. Compiling without MAGMA support
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-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- Looking for cpuid.h
-- Looking for cpuid.h - not found
-- Performing Test NO_GCC_EBX_FPIC_BUG
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-- Atomics: using MSVC intrinsics
-- MKL_THREADING = OMP
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
-- Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
-- Library mkl_intel: not found
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-- Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
-- Library mkl_intel: not found
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-- Library mkl_intel: not found
-- Checking for [mkl - guide - pthread - m]
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-- Checking for [goto2 - gfortran]
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-- Checking for [goto2 - gfortran - pthread]
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-- Checking for [acml - gfortran]
-- Library acml: BLAS_acml_LIBRARY-NOTFOUND
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-- Checking for [blas]
-- Library blas: BLAS_blas_LIBRARY-NOTFOUND
-- Cannot find a library with BLAS API. Not using BLAS.
-- LAPACK requires BLAS
-- Cannot find a library with LAPACK API. Not using LAPACK.
disabling CUDA because NOT USE_CUDA is set
-- CuDNN not found. Compiling without CuDNN support
disabling ROCM because NOT USE_ROCM is set
-- MIOpen not found. Compiling without MIOpen support
-- MKL-DNN needs omp 3+ which is not supported in MSVC so far
CMake Warning at cmake/Dependencies.cmake:1364 (MESSAGE):
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Call Stack (most recent call first):
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-- Performing Test C_HAS_THREAD
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-- pytorch is compiling with OpenMP.
OpenMP CXX_FLAGS: -openmp:experimental.
OpenMP libraries: .
-- Caffe2 is compiling with OpenMP.
OpenMP CXX_FLAGS: -openmp:experimental.
OpenMP libraries: .
-- Using parallel backend: OPENMP
CMake Warning at CMakeLists.txt:483 (message):
Generated cmake files are only fully tested if one builds with system glog,
gflags, and protobuf. Other settings may generate files that are not well
tested.

CMake Warning at CMakeLists.txt:535 (message):
Generated cmake files are only available when building shared libs.

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CMake Warning:
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MKLDNN_ENABLE_CONCURRENT_EXEC
NCCL_EXTERNAL
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[221/1378] Linking C shared module lib\foxi.dll
Creating library lib\foxi.lib and object lib\foxi.exp
LINK : warning LNK4098: defaultlib 'LIBCMT' conflicts with use of other libs; use /NODEFAULTLIB:library
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[254/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\defs\quantization\defs.cc.obj
cl : Command line warning D9025 : overriding '/MD' with '/MT'
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cl : Command line warning D9025 : overriding '/MD' with '/MT'
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cl : Command line warning D9025 : overriding '/MD' with '/MT'
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[265/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\common\status.cc.obj
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[267/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\defs\attr_proto_util.cc.obj
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cl : Command line warning D9025 : overriding '/MD' with '/MT'
[273/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\defs\controlflow\old.cc.obj
cl : Command line warning D9025 : overriding '/MD' with '/MT'
[274/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\defs\generator\defs.cc.obj
cl : Command line warning D9025 : overriding '/MD' with '/MT'
[275/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\checker.cc.obj
cl : Command line warning D9025 : overriding '/MD' with '/MT'
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cl : Command line warning D9025 : overriding '/MD' with '/MT'
[277/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\common\ir_pb_converter.cc.obj
cl : Command line warning D9025 : overriding '/MD' with '/MT'
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cl : Command line warning D9025 : overriding '/MD' with '/MT'
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cl : Command line warning D9025 : overriding '/MD' with '/MT'
[281/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\defs\math\defs.cc.obj
cl : Command line warning D9025 : overriding '/MD' with '/MT'
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[284/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\defs\traditionalml\old.cc.obj
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[340/1378] Building CXX object third_party\onnx\CMakeFiles\onnx.dir\onnx\version_converter\convert.cc.obj
cl : Command line warning D9025 : overriding '/MD' with '/MT'
[549/1378] Building CXX object caffe2\CMakeFiles\torch.dir\__\aten\src\TH\THGeneral.cpp.obj
C:\Users\bhave\pytorch\aten\src\TH\THGeneral.cpp(212) : warning C4717: 'THLog2': recursive on all control paths, function will cause runtime stack overflow
C:\Users\bhave\pytorch\aten\src\TH\THGeneral.cpp(217) : warning C4717: 'THExpm1': recursive on all control paths, function will cause runtime stack overflow
[582/1378] Building CXX object caffe2\CMakeFiles\torch.dir\__\aten\src\TH\THTensorEvenMoreMath.cpp.obj
C:\Users\bhave\pytorch\aten\src\TH/generic/THTensorEvenMoreMath.cpp(410): warning C4804: '+=': unsafe use of type 'bool' in operation
[584/1378] Building CXX object caffe2\CMakeFiles\torch.dir\__\aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp.obj
FAILED: caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX.cpp.obj
C:\PROGRA~2\MICROS~4\2019\COMMUN~1\VC\Tools\MSVC\1421~1.277\bin\Hostx86\x86\cl.exe /nologo /TP -DAT_CORE_STATIC_WINDOWS=1 -DAT_PARALLEL_OPENMP=1 -DCAFFE2_BUILD_MAIN_LIB -DCPUINFO_SUPPORTED_PLATFORM=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_c2 -DUSE_MSC_ATOMICS=1 -D_CRT_SECURE_NO_DEPRECATE=1 -D_THP_CORE -I..\aten\src -I. -I..\ -I..\third_party\protobuf\src -I..\cmake\..\third_party\benchmark\include -Icaffe2\contrib\aten -I..\third_party\onnx -Ithird_party\onnx -I..\third_party\foxi -Ithird_party\foxi -I..\caffe2\..\torch\csrc\api -I..\caffe2\..\torch\csrc\api\include -I..\caffe2\aten\src\TH -Icaffe2\aten\src\TH -I..\caffe2\..\torch\..\aten\src -Icaffe2\aten\src -Iaten\src -Icaffe2\..\aten\src -Icaffe2\..\aten\src\ATen -I..\caffe2\..\torch\csrc -I..\caffe2\..\torch\..\third_party\miniz-2.0.8 -I..\aten\src\TH -I..\aten\..\third_party\catch\single_include -I..\aten\src\ATen\.. -Icaffe2\aten\src\ATen -I..\caffe2\core\nomnigraph\include -I..\third_party\miniz-2.0.8 -I..\c10\.. -I..\third_party\cpuinfo\include -I..\third_party\FP16\include -I..\cmake\..\third_party\googletest\googlemock\include -I..\cmake\..\third_party\googletest\googletest\include -I..\cmake\..\third_party\eigen -I..\cmake\..\third_party\pybind11\include -I..\caffe2 /EHa -openmp:experimental /MP /bigobj -DHAVE_AVX_CPU_DEFINITION /MT /O2 /Ob2 /MP /bigobj -DUSE_GCC_GET_CPUID -DUSE_AVX -DTH_HAVE_THREAD /Zi /EHa /DNOMINMAX /wd4267 /wd4251 /wd4522 /wd4838 /wd4305 /wd4244 /wd4190 /wd4101 /wd4996 /wd4275 /bigobj -DCAFFE2_BUILD_MAIN_LIB -O2 /Ox /fp:strict /arch:AVX /DCPU_CAPABILITY=AVX /DCPU_CAPABILITY_AVX /showIncludes /Focaffe2\CMakeFiles\torch.dir\__\aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp.obj /Fdcaffe2\CMakeFiles\torch.dir\torch.pdb /FS -c aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(620): error C2672: 'convert_to_int_of_same_size': no matching overloaded function found
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(613): note: while compiling class template member function 'void at::native::`anonymous-namespace'::ApplyGridSample<float,2,at::native::detail::GridSamplerInterpolation::Nearest,at::native::detail::GridSamplerPadding::Reflection>::backward(at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,const at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,const at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,int64_t,const at::vec256::`anonymous-namespace'::Vec256<scalar_t> &,const at::vec256::`anonymous-namespace'::Vec256<scalar_t> &,int64_t) const'
with
[
scalar_t=float
]
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(877): note: see reference to function template instantiation 'void at::native::`anonymous-namespace'::ApplyGridSample<float,2,at::native::detail::GridSamplerInterpolation::Nearest,at::native::detail::GridSamplerPadding::Reflection>::backward(at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,const at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,const at::TensorAccessor<scalar_t,3,at::DefaultPtrTraits,int64_t> &,int64_t,const at::vec256::`anonymous-namespace'::Vec256<scalar_t> &,const at::vec256::`anonymous-namespace'::Vec256<scalar_t> &,int64_t) const' being compiled
with
[
scalar_t=float
]
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(822): note: see reference to class template instantiation 'at::native::`anonymous-namespace'::ApplyGridSample<float,2,at::native::detail::GridSamplerInterpolation::Nearest,at::native::detail::GridSamplerPadding::Reflection>' being compiled
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(620): error C2893: Failed to specialize function template 'at::vec256::`anonymous-namespace'::Vec256<int_of_size<sizeof(T)>::type> at::vec256::`anonymous-namespace'::convert_to_int_of_same_size(const at::vec256::`anonymous-namespace'::Vec256<T> &)'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(620): note: With the following template arguments:
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(620): note: 'T=scalar_t'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(624): error C3536: 'i_x_nearest': cannot be used before it is initialized
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(624): error C2678: binary '>': no operator found which takes a left-hand operand of type 'int' (or there is no acceptable conversion)
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: could be 'at::Tensor at::operator >(c10::Scalar,const at::Tensor &)'
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: or 'at::Tensor at::operator >(const at::Tensor &,c10::Scalar)'
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: or 'at::Tensor at::operator >(const at::Tensor &,const at::Tensor &)'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(624): note: while trying to match the argument list '(int, at::vec256::`anonymous-namespace'::Vec256<int>)'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(624): error C2678: binary '<': no operator found which takes a left-hand operand of type 'int' (or there is no acceptable conversion)
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: could be 'at::Tensor at::operator <(c10::Scalar,const at::Tensor &)'
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: or 'at::Tensor at::operator <(const at::Tensor &,c10::Scalar)'
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: or 'at::Tensor at::operator <(const at::Tensor &,const at::Tensor &)'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(624): note: while trying to match the argument list '(int, at::vec256::`anonymous-namespace'::Vec256<int>)'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(627): error C2678: binary '+': no operator found which takes a left-hand operand of type 'at::vec256::`anonymous-namespace'::Vec256<int>' (or there is no acceptable conversion)
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: could be 'at::Tensor at::operator +(c10::Scalar,const at::Tensor &)'
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: or 'at::Tensor at::operator +(const at::Tensor &,c10::Scalar)'
C:\Users\bhave\pytorch\aten\src\ATen/TensorOperators.h(96): note: or 'at::Tensor at::operator +(const at::Tensor &,const at::Tensor &)'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(627): note: while trying to match the argument list '(at::vec256::`anonymous-namespace'::Vec256<int>, int)'
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(630): error C3536: 'i_mask': cannot be used before it is initialized
aten\src\ATen\native\cpu\GridSamplerKernel.cpp.AVX.cpp(632): error C3536: 'i_gInp_offset': cannot be used before it is initialized
[587/1378] Building CXX object caffe2\CMakeFiles\torch.dir\__\aten\src\ATen\native\cpu\IndexKernel.cpp.AVX.cpp.obj
aten\src\ATen\native\cpu\IndexKernel.cpp.AVX.cpp(117): warning C4804: '+=': unsafe use of type 'bool' in operation
[595/1378] Building CXX object caffe2\CMakeFiles\torch.dir\__\aten\src\TH\THTensorMoreMath.cpp.obj
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "tools\build_libtorch.py", line 23, in <module>
rerun_cmake=True, cmake_only=False, cmake=CMake('build'))
File "C:\Users\bhave\pytorch\tools\build_pytorch_libs.py", line 64, in build_caffe2
cmake.build(my_env)
File "C:\Users\bhave\pytorch\tools\setup_helpers\cmake.py", line 358, in build
self.run(build_args, my_env)
File "C:\Users\bhave\pytorch\tools\setup_helpers\cmake.py", line 110, in run
check_call(command, cwd=self.build_dir, env=env)
File "C:\Python27\lib\subprocess.py", line 186, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['cmake', '--build', '.', '--target', 'install', '--config', 'Release', '--', '-j', '12']' returned non-zero exit status 1
"Caffe2 building failed"