Apex: Building Error

[YOKE]

Thanks for your great work! When I run

sudo pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" .
/usr/local/lib/python3.6/dist-packages/pip/_internal/commands/install.py:244: UserWarning: Disabling all use of wheels due to the use of --build-options / --global-options / --install-options.
cmdoptions.check_install_build_global(options)
Created temporary directory: /tmp/pip-ephem-wheel-cache-qbetfqhb
Created temporary directory: /tmp/pip-req-tracker-b7tfd9v5
Created requirements tracker '/tmp/pip-req-tracker-b7tfd9v5'
Created temporary directory: /tmp/pip-install-oj0_ps30
Processing /media/lab324/sdc/ybb/apex
Created temporary directory: /tmp/pip-req-build-i31tt77s
Added file:///media/lab324/sdc/ybb/apex to build tracker '/tmp/pip-req-tracker-b7tfd9v5'
Running setup.py (path:/tmp/pip-req-build-i31tt77s/setup.py) egg_info for package from file:///media/lab324/sdc/ybb/apex
Running command python setup.py egg_info
torch.__version__ = 1.0.1.post2
running egg_info
creating pip-egg-info/apex.egg-info
writing pip-egg-info/apex.egg-info/PKG-INFO
writing dependency_links to pip-egg-info/apex.egg-info/dependency_links.txt
writing top-level names to pip-egg-info/apex.egg-info/top_level.txt
writing manifest file 'pip-egg-info/apex.egg-info/SOURCES.txt'
warning: manifest_maker: standard file '-c' not found

reading manifest file 'pip-egg-info/apex.egg-info/SOURCES.txt'
writing manifest file 'pip-egg-info/apex.egg-info/SOURCES.txt'

Source in /tmp/pip-req-build-i31tt77s has version 0.1, which satisfies requirement apex==0.1 from file:///media/lab324/sdc/ybb/apex
Removed apex==0.1 from file:///media/lab324/sdc/ybb/apex from build tracker '/tmp/pip-req-tracker-b7tfd9v5'
Skipping bdist_wheel for apex, due to binaries being disabled for it.
Installing collected packages: apex
Created temporary directory: /tmp/pip-record-pc5mw3el
Running command /usr/bin/python3 -u -c 'import setuptools, tokenize;__file__='"'"'/tmp/pip-req-build-i31tt77s/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' --cpp_ext --cuda_ext install --record /tmp/pip-record-pc5mw3el/install-record.txt --single-version-externally-managed --compile
torch.__version__ = 1.0.1.post2

Compiling cuda extensions with
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.61
from /usr/local/cuda/bin


Warning:  Cuda extensions are being compiled with a version of Cuda that does not match the version used to compile Pytorch binaries.

Pytorch binaries were compiled with Cuda 9.0.176

running install
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/apex
copying apex/__init__.py -> build/lib.linux-x86_64-3.6/apex
creating build/lib.linux-x86_64-3.6/apex/normalization
copying apex/normalization/fused_layer_norm.py -> build/lib.linux-x86_64-3.6/apex/normalization
copying apex/normalization/__init__.py -> build/lib.linux-x86_64-3.6/apex/normalization
creating build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
copying apex/multi_tensor_apply/multi_tensor_apply.py -> build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
copying apex/multi_tensor_apply/__init__.py -> build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
creating build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/handle.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/_amp_state.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/frontend.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/utils.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/opt.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/compat.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/_process_optimizer.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/rnn_compat.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/amp.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/__version__.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/__init__.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/wrap.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/scaler.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/_initialize.py -> build/lib.linux-x86_64-3.6/apex/amp
creating build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/cells.py -> build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/models.py -> build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/__init__.py -> build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/RNNBackend.py -> build/lib.linux-x86_64-3.6/apex/RNN
creating build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/sync_batchnorm_kernel.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/optimized_sync_batchnorm.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/__init__.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/sync_batchnorm.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/multiproc.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/LARC.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/distributed.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/optimized_sync_batchnorm_kernel.py -> build/lib.linux-x86_64-3.6/apex/parallel
creating build/lib.linux-x86_64-3.6/apex/reparameterization
copying apex/reparameterization/weight_norm.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
copying apex/reparameterization/__init__.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
copying apex/reparameterization/reparameterization.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
creating build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/fp16_optimizer.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/fp16util.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/__init__.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/loss_scaler.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
creating build/lib.linux-x86_64-3.6/apex/optimizers
copying apex/optimizers/fp16_optimizer.py -> build/lib.linux-x86_64-3.6/apex/optimizers
copying apex/optimizers/__init__.py -> build/lib.linux-x86_64-3.6/apex/optimizers
copying apex/optimizers/fused_adam.py -> build/lib.linux-x86_64-3.6/apex/optimizers
creating build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/torch_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/tensor_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/__init__.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/functional_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
running build_ext
building 'apex_C' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/csrc
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/TH -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/include/python3.6m -c csrc/flatten_unflatten.cpp -o build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=apex_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -o build/lib.linux-x86_64-3.6/apex_C.cpython-36m-x86_64-linux-gnu.so
building 'amp_C' extension
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/TH -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/amp_C_frontend.cpp -o build/temp.linux-x86_64-3.6/csrc/amp_C_frontend.o -O3 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
/usr/local/cuda/bin/nvcc -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/TH -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_scale_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_scale_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
/usr/local/cuda/bin/nvcc -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/TH -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_axpby_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_axpby_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
/usr/local/cuda/bin/nvcc -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/TH -I/home/lab324/.local/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_l2norm_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_l2norm_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
csrc/type_shim.h(118): error: identifier "__shfl_down_sync" is undefined
          detected during instantiation of "T reduce_block_into_lanes(T *, T, int, __nv_bool) [with T=float]"
csrc/multi_tensor_l2norm_kernel.cu(67): here

1 error detected in the compilation of "/tmp/tmpxft_00004094_00000000-7_multi_tensor_l2norm_kernel.cpp1.ii".
error: command '/usr/local/cuda/bin/nvcc' failed with exit status 2

Running setup.py install for apex ... error
Cleaning up...
Removing source in /tmp/pip-req-build-i31tt77s
Removed build tracker '/tmp/pip-req-tracker-b7tfd9v5'
ERROR: Command "/usr/bin/python3 -u -c 'import setuptools, tokenize;__file__='"'"'/tmp/pip-req-build-i31tt77s/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' --cpp_ext --cuda_ext install --record /tmp/pip-record-pc5mw3el/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-req-build-i31tt77s/
Exception information:
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/cli/base_command.py", line 178, in main
status = self.run(options, args)
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/commands/install.py", line 414, in run
use_user_site=options.use_user_site,
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/req/__init__.py", line 58, in install_given_reqs
**kwargs
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/req/req_install.py", line 951, in install
spinner=spinner,
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/utils/misc.py", line 776, in call_subprocess
% (command_desc, proc.returncode, cwd))
pip._internal.exceptions.InstallationError: Command "/usr/bin/python3 -u -c 'import setuptools, tokenize;__file__='"'"'/tmp/pip-req-build-i31tt77s/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' --cpp_ext --cuda_ext install --record /tmp/pip-record-pc5mw3el/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-req-build-i31tt77s/
1 location(s) to search for versions of pip:

• https://pypi.org/simple/pip/
  Getting page https://pypi.org/simple/pip/
  Starting new HTTPS connection (1): pypi.org:443
  https://pypi.org:443 "GET /simple/pip/ HTTP/1.1" 200 11244
  Analyzing links from page https://pypi.org/simple/pip/
  Found link https://files.pythonhosted.org/packages/3d/9d/1e313763bdfb6a48977b65829c6ce2a43eaae29ea2f907c8bbef024a7219/pip-0.2.tar.gz#sha256=88bb8d029e1bf4acd0e04d300104b7440086f94cc1ce1c5c3c31e3293aee1f81 (from https://pypi.org/simple/pip/), version: 0.2
  Found link https://files.pythonhosted.org/packages/18/ad/c0fe6cdfe1643a19ef027c7168572dac6283b80a384ddf21b75b921877da/pip-0.2.1.tar.gz#sha256=83522005c1266cc2de97e65072ff7554ac0f30ad369c3b02ff3a764b962048da (from https://pypi.org/simple/pip/), version: 0.2.1
  Found link https://files.pythonhosted.org/packages/17/05/f66144ef69b436d07f8eeeb28b7f77137f80de4bf60349ec6f0f9509e801/pip-0.3.tar.gz#sha256=183c72455cb7f8860ac1376f8c4f14d7f545aeab8ee7c22cd4caf79f35a2ed47 (from https://pypi.org/simple/pip/), version: 0.3
  Found link https://files.pythonhosted.org/packages/0a/bb/d087c9a1415f8726e683791c0b2943c53f2b76e69f527f2e2b2e9f9e7b5c/pip-0.3.1.tar.gz#sha256=34ce534f17065c78f980702928e988a6b6b2d8a9851aae5f1571a1feb9bb58d8 (from https://pypi.org/simple/pip/), version: 0.3.1
  Found link https://files.pythonhosted.org/packages/cf/c3/153571aaac6cf999f4bb09c019b1ff379b7b599ea833813a41c784eec995/pip-0.4.tar.gz#sha256=28fc67558874f71fddda7168f73595f1650523dce3bc5bf189713ecdfc1e456e (from https://pypi.org/simple/pip/), version: 0.4
  Found link https://files.pythonhosted.org/packages/8d/c7/f05c87812fa5d9562ecbc5f4f1fc1570444f53c81c834a7f662af406e3c1/pip-0.5.tar.gz#sha256=328d8412782f22568508a0d0c78a49c9920a82e44c8dfca49954fe525c152b2a (from https://pypi.org/simple/pip/), version: 0.5
  Found link https://files.pythonhosted.org/packages/9a/aa/f536b6d14fe03343367da2ff44eee28f340ae650cd017ca088b6be13084a/pip-0.5.1.tar.gz#sha256=e27650538c41fe1007a41abd4cfd0f905b822622cbe1f8e7e09d1215af207694 (from https://pypi.org/simple/pip/), version: 0.5.1
  Found link https://files.pythonhosted.org/packages/db/e6/fdf7be8a17b032c533d3f91e91e2c63dd81d3627cbe4113248a00c2d39d8/pip-0.6.tar.gz#sha256=4cf47db6815b2f435d1f44e1f35ff04823043f6161f7df9aec71a123b0c47f0d (from https://pypi.org/simple/pip/), version: 0.6
  Found link https://files.pythonhosted.org/packages/91/cd/105f4d3c75d0ae18e12623acc96f42168aaba408dd6e43c4505aa21f8e37/pip-0.6.1.tar.gz#sha256=efe47e84ffeb0ea4804f9858b8a94bebd07f5452f907ebed36d03aed06a9f9ec (from https://pypi.org/simple/pip/), version: 0.6.1
  Found link https://files.pythonhosted.org/packages/1c/c7/c0e1a9413c37828faf290f29a85a4d6034c145cc04bf1622ba8beb662ad8/pip-0.6.2.tar.gz#sha256=1c1a504d7e70d2c24246f95bd16e3d5fcec740fd144df69a407bf65a2ee67586 (from https://pypi.org/simple/pip/), version: 0.6.2
  Found link https://files.pythonhosted.org/packages/3f/af/c4b9d49fb0f286996b28dbc0955c3ad359794697eb98e0e69863908070b0/pip-0.6.3.tar.gz#sha256=1a6df71eb29b98cba11bde6d6a0d8c6dd8b0518e74ceb71fb31ea4fbb42fd313 (from https://pypi.org/simple/pip/), version: 0.6.3
  Found link https://files.pythonhosted.org/packages/ec/7a/6fe91ff0079ad0437830957c459d52f3923e516f5b453218f2a93d09a427/pip-0.7.tar.gz#sha256=ceaea0b9e494d893c8a191895301b79c1db33e41f14d3ad93e3d28a8b4e9bf27 (from https://pypi.org/simple/pip/), version: 0.7
  Found link https://files.pythonhosted.org/packages/a5/63/11303863c2f5e9d9a15d89fcf7513a4b60987007d418862e0fb65c09fff7/pip-0.7.1.tar.gz#sha256=f54f05aa17edd0036de433c44892c8fedb1fd2871c97829838feb995818d24c3 (from https://pypi.org/simple/pip/), version: 0.7.1
  Found link https://files.pythonhosted.org/packages/cd/a9/1debaa96bbc1005c1c8ad3b79fec58c198d35121546ea2e858ce0894268a/pip-0.7.2.tar.gz#sha256=98df2eb779358412bbbae75980171ae85deebc846d87e244d086520b1212da09 (from https://pypi.org/simple/pip/), version: 0.7.2
  Found link https://files.pythonhosted.org/packages/74/54/f785c327fb3d163560a879b36edae5c78ee07806be282c9d4807f6be7dd1/pip-0.8.tar.gz#sha256=9017e4484a212dd4e1a43dd9f039dd7fc8338d4eea1c339d5ae1c80726de5b0f (from https://pypi.org/simple/pip/), version: 0.8
  Found link https://files.pythonhosted.org/packages/5c/79/5e8381cc3078bae92166f2ba96de8355e8c181926505ba8882f7b099a500/pip-0.8.1.tar.gz#sha256=7176a87f35675f6468341212f3b959bb51d23ea66eb1c3692bf746c45c716fa2 (from https://pypi.org/simple/pip/), version: 0.8.1
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I can't figure it out. Could you help me? Thank you! @mcarilli

[mcarilli]

Hmm, did it end up working or not?

[YOKE]

Hmm, did it end up working or not?
Yes, It's the wrong version of cuda.

[phier77]

how to fix this problem@YOKE

[ptrblck]

@phier77 Do you get the same warning?

Warning: Cuda extensions are being compiled with a version of Cuda that does not match the version used to compile Pytorch binaries.

If so, could you install the CUDA version locally matching the one used in the PyTorch binaries?

[mcarilli]

@phier77 In @YOKE 's original build log from https://github.com/NVIDIA/apex/issues/317#issue-445695179, the setup.py output says:

Compiling cuda extensions with
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.61
from /usr/local/cuda/bin


Warning:  Cuda extensions are being compiled with a version of Cuda that does not match the version used to compile Pytorch binaries.

Pytorch binaries were compiled with Cuda 9.0.176

So he was compiling Apex with cuda 8.0 on his system, but his Pytorch binaries were compiled with cuda 9.0, which shouldn't work. (Technically, cuda 8.0 is also invalid because we only support cuda 9.0 or newer in general, but that's a separate issue.)

The version of the Cuda toolkit that's used to compile Apex on your system (1) should match the version of Cuda that was used to compile Pytorch (2). You can query (1) via

$ nvcc -V

and (2) via

>>> import torch
>>> torch.version.cuda

If these don't match, you need to either reinstall Cuda or reinstall Pytorch so that the versions match. Of those two options, reinstalling Pytorch to match the Cuda version is probably easier (either by building Pytorch from source, or pip/conda installing the binary package that matches your cuda version).

As usual, running in a Docker container is always an option. The recommended Docker containers have environments in which the Cuda toolkit and Pytorch versions are guaranteed to be compatible. (you may run into a separate issue if your Cuda driver (which is separate from the Cuda toolkit) is too old, but don't worry about that unless it happens)

[phier77]

I have now installed apex 1.0 successfully.
First ,try
1.cd apex
2.python setup.py install [--cuda_ext] [--cpp_ext]
if [–cuda_exit] is illegal
just type
python setup.py install
hope you'll succeed!

------------------ 原始邮件 ------------------
发件人: "mcarilli"[e-mail];
发送时间: 2019年5月22日(星期三) 凌晨0:29
收件人: "NVIDIA/apex"[e-mail];
抄送: "savem_m"[e-mail]; "Mention"[e-mail];
主题: Re: [NVIDIA/apex] Building Error (#317)

@phier77 In @YOKE 's original build log from #317 (comment), the setup.py output says:
Compiling cuda extensions with nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2016 NVIDIA Corporation Built on Tue_Jan_10_13:22:03_CST_2017 Cuda compilation tools, release 8.0, V8.0.61 from /usr/local/cuda/bin Warning: Cuda extensions are being compiled with a version of Cuda that does not match the version used to compile Pytorch binaries. Pytorch binaries were compiled with Cuda 9.0.176
So he was compiling Apex with cuda 8.0 on his system, but his Pytorch binaries were compiled with cuda 9.0, which shouldn't work. (Technically, cuda 8.0 is also invalid because we only support cuda 9.0 or newer in general, but that's a separate issue).

The version of the Cuda toolkit that's used to compile Apex on your system (1) should match the version of Cuda that was used to compile Pytorch (2). You can query (1) via
$ nvcc -V
and (2) via

import torch >>> torch.version.cuda
If these don't match, you need to either reinstall Cuda or reinstall Pytorch so that the versions match. Of those two options, reinstalling Pytorch to match the Cuda version is probably easier (either by building Pytorch from source, or pip/conda installing the binary package that matches your cuda version).

As usual, running in a Docker container is always an option. The recommended Docker containers have environments in which the Cuda toolkit and Pytorch versions are guaranteed to be compatible. (you may run into a separate issue if your Cuda driver (which is separate from the Cuda toolkit) is too old, but don't worry about that unless it happens)

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[alejandrojcastaneira]

The command that worked for me on the appex folder use: python setup.py install --cuda_ext --cpp_ext with those extensions included.