lunar-walker opened a new issue #20256:
URL: https://github.com/apache/incubator-mxnet/issues/20256
## Description
When compiling version 1.8 with GPU & MKLDNN support from Windows 10 / x64
(Visual studio Community 2019), it fails with lots of errors of pattern calling
a __host__ function from a __global__ function is not allowed...
Initial investigation suggests some sort of confusion by CUDA Compiler for
mixing standard C/C++ libraries functions with CUDA Libraries functions i.e.
error is appearing when calling floor, ceil functions inside CUDA code (both
functions are available in standard C/C++ & CUDA libraries).
I'm using CUDA 11.2 (Pasted below initial out of build_windows.py for
environment)
### Error Message
../src/operator/contrib/adaptive_avg_pooling.cu(73): error: calling a
__host__ function("__floorf") from a __global__
function("mxnet::op::adaptiveaveragepool<float> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(73): error: identifier
"__floorf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(74): error: calling a
__host__ function("__ceilf") from a __global__
function("mxnet::op::adaptiveaveragepool<float> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(74): error: identifier
"__ceilf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(78): error: calling a
__host__ function("__floorf") from a __global__
function("mxnet::op::adaptiveaveragepool<float> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(78): error: identifier
"__floorf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(79): error: calling a
__host__ function("__ceilf") from a __global__
function("mxnet::op::adaptiveaveragepool<float> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(79): error: identifier
"__ceilf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(73): error: calling a
__host__ function("__floorf") from a __global__
function("mxnet::op::adaptiveaveragepool<double> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(73): error: identifier
"__floorf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(74): error: calling a
__host__ function("__ceilf") from a __global__
function("mxnet::op::adaptiveaveragepool<double> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(74): error: identifier
"__ceilf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(78): error: calling a
__host__ function("__floorf") from a __global__
function("mxnet::op::adaptiveaveragepool<double> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(78): error: identifier
"__floorf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(79): error: calling a
__host__ function("__ceilf") from a __global__
function("mxnet::op::adaptiveaveragepool<double> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(79): error: identifier
"__ceilf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(73): error: calling a
__host__ function("__floorf") from a __global__
function("mxnet::op::adaptiveaveragepool< ::mshadow::half::half_t> ") is not
allowed
../src/operator/contrib/adaptive_avg_pooling.cu(73): error: identifier
"__floorf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(74): error: calling a
__host__ function("__ceilf") from a __global__
function("mxnet::op::adaptiveaveragepool< ::mshadow::half::half_t> ") is not
allowed
../src/operator/contrib/adaptive_avg_pooling.cu(74): error: identifier
"__ceilf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(78): error: calling a
__host__ function("__floorf") from a __global__
function("mxnet::op::adaptiveaveragepool< ::mshadow::half::half_t> ") is not
allowed
../src/operator/contrib/adaptive_avg_pooling.cu(78): error: identifier
"__floorf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(79): error: calling a
__host__ function("__ceilf") from a __global__
function("mxnet::op::adaptiveaveragepool< ::mshadow::half::half_t> ") is not
allowed
../src/operator/contrib/adaptive_avg_pooling.cu(79): error: identifier
"__ceilf" is undefined in device code
../src/operator/contrib/adaptive_avg_pooling.cu(130): error: calling a
__host__ function("__floorf") from a __global__
function("mxnet::op::atomicadaptiveaveragegradinput<float> ") is not allowed
../src/operator/contrib/adaptive_avg_pooling.cu(130): error: identifier
"__floorf" is undefined in device code
......
......
......
## What have you tried to solve it?
1. Tried compiling using cmake / visual Studio solution
2. Tried compiling using ci/build_windows.py script
## Environment
<details>
<summary>Environment Information</summary>
----------Python Info----------
Version : 3.9.5
Compiler : MSC v.1928 64 bit (AMD64)
Build : ('tags/v3.9.5:0a7dcbd', 'May 3 2021 17:27:52')
Arch : ('64bit', 'WindowsPE')
------------Pip Info-----------
Version : 21.1.1
Directory : C:\Program
Files\WindowsApps\PythonSoftwareFoundation.Python.3.9_3.9.1520.0_x64__qbz5n2kfra8p0\lib\site-packages\pip
----------MXNet Info-----------
No MXNet installed.
----------System Info----------
Platform : Windows-10-10.0.19042-SP0
system : Windows
node : DESKTOP-6LE30FJ
release : 10
version : 10.0.19042
----------Hardware Info----------
machine : AMD64
processor : Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
Name
Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz
</details>
<details>
<summary>Initial output of ci/build_windows.py</summary>
**********************************************************************
** Visual Studio 2019 Developer Command Prompt v16.9.4
** Copyright (c) 2021 Microsoft Corporation
**********************************************************************
[vcvarsall.bat] Environment initialized for: 'x64'
-- The C compiler identification is MSVC 19.28.29914.0
-- The CXX compiler identification is MSVC 19.28.29914.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual
Studio/2019/Community/VC/Tools/MSVC/14.28.29910/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual
Studio/2019/Community/VC/Tools/MSVC/14.28.29910/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- CMAKE_CROSSCOMPILING FALSE
-- CMAKE_HOST_SYSTEM_PROCESSOR AMD64
-- CMAKE_SYSTEM_PROCESSOR AMD64
-- CMAKE_SYSTEM_NAME Windows
-- CMake version '3.20.1' using generator 'Ninja'
-- Looking for a CUDA compiler
-- Looking for a CUDA compiler - C:/Program Files/NVIDIA GPU Computing
Toolkit/CUDA/v11.2/bin/nvcc.exe
-- The CUDA compiler identification is NVIDIA 11.2.67
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: C:/Program Files/NVIDIA GPU Computing
Toolkit/CUDA/v11.2/bin/nvcc.exe - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- The ASM_MASM compiler identification is MSVC
-- Found assembler: C:/Program Files (x86)/Microsoft Visual
Studio/2019/Community/VC/Tools/MSVC/14.28.29910/bin/Hostx64/x64/ml64.exe
CMake Deprecation Warning at 3rdparty/mkldnn/CMakeLists.txt:17
(cmake_minimum_required):
Compatibility with CMake < 2.8.12 will be removed from a future version of
CMake.
Update the VERSION argument <min> value or use a ...<max> suffix to tell
CMake that the project does not need compatibility with older versions.
-- Intel MKL-DNN compat: set DNNL_BUILD_EXAMPLES to MKLDNN_BUILD_EXAMPLES
with value `OFF`
-- Intel MKL-DNN compat: set DNNL_BUILD_TESTS to MKLDNN_BUILD_TESTS with
value `OFF`
-- Intel MKL-DNN compat: set DNNL_ENABLE_JIT_PROFILING to
MKLDNN_ENABLE_JIT_PROFILING with value `OFF`
-- Intel MKL-DNN compat: set DNNL_LIBRARY_TYPE to MKLDNN_LIBRARY_TYPE with
value `STATIC`
-- Intel MKL-DNN compat: set DNNL_ARCH_OPT_FLAGS to MKLDNN_ARCH_OPT_FLAGS
with value ``
-- Looking for pthread.h
-- Looking for pthread.h - not found
-- Found Threads: TRUE
-- Found OpenMP_C: -openmp (found version "2.0")
-- Found OpenMP_CXX: -openmp (found version "2.0")
-- Found OpenMP: TRUE (found version "2.0")
-- GPU support is disabled
-- Found Git: C:/Program Files/Git/cmd/git.exe (found version
"2.30.0.windows.2")
fatal: not a git repository (or any of the parent directories): .git
-- Primitive cache is enabled
-- Found MKL: D:/oneAPI/mkl/latest/include
-- Found MKL (include: D:/oneAPI/mkl/latest/include, lib:
D:/oneAPI/mkl/latest/lib/intel64/mkl_rt.lib
-- Found OpenCV: D:/code/opencvlib/build_opencv (found version "4.5.2")
found components: core highgui imgproc imgcodecs
-- OpenCV 4.5.2 found (D:/code/opencvlib/build_opencv)
-- OpenCV_LIBS=opencv_core;opencv_highgui;opencv_imgproc;opencv_imgcodecs
USE_LAPACK is ON
CMake Warning at 3rdparty/googletest/googletest/CMakeLists.txt:47 (project):
VERSION keyword not followed by a value or was followed by a value that
expanded to nothing.
CMake Deprecation Warning at
3rdparty/googletest/googletest/CMakeLists.txt:49 (cmake_minimum_required):
Compatibility with CMake < 2.8.12 will be removed from a future version of
CMake.
Update the VERSION argument <min> value or use a ...<max> suffix to tell
CMake that the project does not need compatibility with older versions.
-- Found PythonInterp: D:/miniconda3/python.exe (found version "3.7.9")
-- Found GTest: gtest
-- Found CUDNN: C:/cudnn/cuda/lib/x64/cudnn.lib
-- Looking for clock_gettime in rt
-- Looking for clock_gettime in rt - not found
-- Looking for fopen64
-- Looking for fopen64 - not found
-- Looking for C++ include cxxabi.h
-- Looking for C++ include cxxabi.h - not found
-- Looking for nanosleep
-- Looking for nanosleep - not found
-- Looking for backtrace
-- Looking for backtrace - not found
-- Could NOT find Backtrace (missing: Backtrace_LIBRARY
Backtrace_INCLUDE_DIR)
--
D:/code/apache-mxnet-src-1.8.0-incubating/3rdparty/dmlc-core/cmake/build_config.h.in
-> include/dmlc/build_config.h
-- CUDA: Using the following NVCC architecture flags
-gencode;arch=compute_75,code=sm_75
-- Found CUDAToolkit: C:/Program Files/NVIDIA GPU Computing
Toolkit/CUDA/v11.2/include (found version "11.2.67")
-- Performing Test SUPPORT_MSSE3
-- Performing Test SUPPORT_MSSE3 - Failed
-- Performing Test SUPPORT_MSSE2
-- Performing Test SUPPORT_MSSE2 - Failed
-- Determining F16C support
F16C instruction set is not yet supported for MSVC
-- CUDA: Adding NVCC options: --fatbin-options --compress-all
-- Google Test not found
-- Configuring done
CMake Warning (dev) in CMakeLists.txt:
Policy CMP0104 is not set: CMAKE_CUDA_ARCHITECTURES now detected for NVCC,
empty CUDA_ARCHITECTURES not allowed. Run "cmake --help-policy CMP0104"
for policy details. Use the cmake_policy command to set the policy and
suppress this warning.
CUDA_ARCHITECTURES is empty for target "mxnet_75".
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) in CMakeLists.txt:
Policy CMP0104 is not set: CMAKE_CUDA_ARCHITECTURES now detected for NVCC,
empty CUDA_ARCHITECTURES not allowed. Run "cmake --help-policy CMP0104"
for policy details. Use the cmake_policy command to set the policy and
suppress this warning.
CUDA_ARCHITECTURES is empty for target "customop_gpu_lib".
This warning is for project developers. Use -Wno-dev to suppress it.
-- Generating done
-- Build files have been written to:
D:/code/apache-mxnet-src-1.8.0-incubating/build
</details>
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