Did anyone encounter this error when installing Apex on Windows?
Trying to create a YouTube video covering this codebase but this one is blocking me.
I know this is probably better suited for apex folks - but in case anyone running this repo encountered it or knows anything I'd super appreciate any help!
Pasting it here as well:
C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.24.28314/include\type_traits(1061): error: static assertion failed with "You've instantiated std::aligned_storage<Len, Align> with an extended alignment (in other words, Align > alignof(max_align_t)). Before VS 2017 15.8, the member "type" would non-conformingly have an alignment of only alignof(max_align_t). VS 2017 15.8 was fixed to handle this correctly, but the fix inherently changes layout and breaks binary compatibility (*only* for uses of aligned_storage with extended alignments). Please define either (1) _ENABLE_EXTENDED_ALIGNED_STORAGE to acknowledge that you understand this message and that you actually want a type with an extended alignment, or (2) _DISABLE_EXTENDED_ALIGNED_STORAGE to silence this message and get the old non-conforming behavior."
detected during:
instantiation of class "std::_Aligned<_Len, _Align, double, false> [with _Len=16ULL, _Align=16ULL]"
(1079): here
instantiation of class "std::_Aligned<_Len, _Align, int, false> [with _Len=16ULL, _Align=16ULL]"
(1084): here
instantiation of class "std::_Aligned<_Len, _Align, short, false> [with _Len=16ULL, _Align=16ULL]"
(1089): here
instantiation of class "std::_Aligned<_Len, _Align, char, false> [with _Len=16ULL, _Align=16ULL]"
(1094): here
instantiation of class "std::aligned_storage<_Len, _Align> [with _Len=16ULL, _Align=16ULL]"
T:\YouTube_Code\7_BLOOM\apex\csrc\multi_tensor_axpby_kernel.cu(23): here
instantiation of "void load_store(T *, T *, int, int) [with T=float]"
T:\YouTube_Code\7_BLOOM\apex\csrc\multi_tensor_axpby_kernel.cu(68): here
instantiation of "void AxpbyFunctor<x_t, y_t, out_t>::operator()(int, volatile int *, TensorListMetadata<3> &, float, float, int) [with x_t=float, y_t=float, out_t=float]"
T:\YouTube_Code\7_BLOOM\apex\csrc\multi_tensor_apply.cuh(38): here
instantiation of "void multi_tensor_apply_kernel(int, volatile int *, T, U, ArgTypes...) [with T=TensorListMetadata<3>, U=AxpbyFunctor<float, float, float>, ArgTypes=<float, float, int>]"
T:\YouTube_Code\7_BLOOM\apex\csrc\multi_tensor_apply.cuh(109): here
instantiation of "void multi_tensor_apply<depth,T,ArgTypes...>(int, int, const at::Tensor &, const std::vector<std::vector<at::Tensor, std::allocator<at::Tensor>>, std::allocator<std::vector<at::Tensor, std::allocator<at::Tensor>>>> &, T, ArgTypes...) [with depth=3, T=AxpbyFunctor<float, float, float>, ArgTypes=<float, float, int>]"
T:\YouTube_Code\7_BLOOM\apex\csrc\multi_tensor_axpby_kernel.cu(141): here
1 error detected in the compilation of "csrc/multi_tensor_axpby_kernel.cu".
error: command 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\nvcc.exe' failed with exit code 4294967295
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: 'C:\Users\aleks\Miniconda3\envs\bloom\python.exe' -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"))
'"'"''"'"''"'"' % ('"'"'T:\\YouTube_Code\\7_BLOOM\\apex\\setup.py'"'"',), "<pip-setuptools-caller>", "exec"))' --cpp_ext --cuda_ext install --record 'C:\Users\aleks\AppData\Local\Temp\pip-record-12qb6t0s\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\Users\aleks\Miniconda3\envs\bloom\Include\apex'
cwd: T:\YouTube_Code\7_BLOOM\apex\
Running setup.py install for apex: finished with status '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.
Hi folks!
Did anyone encounter this error when installing Apex on Windows?
Trying to create a YouTube video covering this codebase but this one is blocking me.
I know this is probably better suited for apex folks - but in case anyone running this repo encountered it or knows anything I'd super appreciate any help!
Pasting it here as well: