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WARNING: Implying --no-binary=:all: due to the presence of --build-option / --global-option / --install-option. Consider using --config-settings for more flexibility.
DEPRECATION: --no-binary currently disables reading from the cache of locally built wheels. In the future --no-binary will not influence the wheel cache. pip 23.1 will enforce this behaviour change. A possible replacement is to use the --no-cache-dir option. You can use the flag --use-feature=no-binary-enable-wheel-cache to test the upcoming behaviour. Discussion can be found at https://github.com/pypa/pip/issues/11453
Looking in indexes: https://repo.huaweicloud.com/repository/pypi/simple
Processing /root/autodl-tmp/apex
Running command python setup.py egg_info
torch.__version__ = 1.7.0
running egg_info
creating /tmp/pip-pip-egg-info-lni098z_/apex.egg-info
writing /tmp/pip-pip-egg-info-lni098z_/apex.egg-info/PKG-INFO
writing dependency_links to /tmp/pip-pip-egg-info-lni098z_/apex.egg-info/dependency_links.txt
writing requirements to /tmp/pip-pip-egg-info-lni098z_/apex.egg-info/requires.txt
writing top-level names to /tmp/pip-pip-egg-info-lni098z_/apex.egg-info/top_level.txt
writing manifest file '/tmp/pip-pip-egg-info-lni098z_/apex.egg-info/SOURCES.txt'
reading manifest file '/tmp/pip-pip-egg-info-lni098z_/apex.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file '/tmp/pip-pip-egg-info-lni098z_/apex.egg-info/SOURCES.txt'
Preparing metadata (setup.py) ... done
Requirement already satisfied: packaging>20.6 in /root/miniconda3/envs/glm3.8/lib/python3.8/site-packages (from apex==0.1) (23.0)
Installing collected packages: apex
DEPRECATION: apex is being installed using the legacy 'setup.py install' method, because the '--no-binary' option was enabled for it and this currently disables local wheel building for projects that don't have a 'pyproject.toml' file. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/11451
Running command Running setup.py install for apex
torch.__version__ = 1.7.0
Compiling cuda extensions with
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_May__3_19:15:13_PDT_2021
Cuda compilation tools, release 11.3, V11.3.109
Build cuda_11.3.r11.3/compiler.29920130_0
from /usr/local/cuda/bin
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "/root/autodl-tmp/apex/setup.py", line 171, in <module>
check_cuda_torch_binary_vs_bare_metal(CUDA_HOME)
File "/root/autodl-tmp/apex/setup.py", line 33, in check_cuda_torch_binary_vs_bare_metal
raise RuntimeError(
RuntimeError: 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 10.2.
In some cases, a minor-version mismatch will not cause later errors: https://github.com/NVIDIA/apex/pull/323#discussion_r287021798. You can try commenting out this check (at your own risk).
error: subprocess-exited-with-error
× Running setup.py install for apex did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
full command: /root/miniconda3/envs/glm3.8/bin/python -u -c '
exec(compile('"'"''"'"''"'"'
# This is <pip-setuptools-caller> -- a caller that pip uses to run setup.py
#
# - It imports setuptools before invoking setup.py, to enable projects that directly
# import from `distutils.core` to work with newer packaging standards.
# - It provides a clear error message when setuptools is not installed.
# - It sets `sys.argv[0]` to the underlying `setup.py`, when invoking `setup.py` so
# setuptools doesn'"'"'t think the script is `-c`. This avoids the following warning:
# manifest_maker: standard file '"'"'-c'"'"' not found".
# - It generates a shim setup.py, for handling setup.cfg-only projects.
import os, sys, tokenize
try:
import setuptools
except ImportError as error:
print(
"ERROR: Can not execute `setup.py` since setuptools is not available in "
"the build environment.",
file=sys.stderr,
)
sys.exit(1)
__file__ = %r
sys.argv[0] = __file__
if os.path.exists(__file__):
filename = __file__
with tokenize.open(__file__) as f:
setup_py_code = f.read()
else:
filename = "<auto-generated setuptools caller>"
setup_py_code = "from setuptools import setup; setup()"
exec(compile(setup_py_code, filename, "exec"))
'"'"''"'"''"'"' % ('"'"'/root/autodl-tmp/apex/setup.py'"'"',), "<pip-setuptools-caller>", "exec"))' --cpp_ext --cuda_ext install --record /tmp/pip-record-b0rwtz2a/install-record.txt --single-version-externally-managed --compile --install-headers /root/miniconda3/envs/glm3.8/include/python3.8/apex
cwd: /root/autodl-tmp/apex/
Running setup.py install for apex ... error
error: legacy-install-failure
× Encountered error while trying to install package.
╰─> apex
note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure
How cuda and pytorch should match?
The text was updated successfully, but these errors were encountered:
How cuda and pytorch should match?
The text was updated successfully, but these errors were encountered: