关于 bmtrain 包的版本问题
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Description
环境:
ubuntu server 22.04
conda python 3.10.0
nvidia driver 12.1.0
尝试一:
pip install -r requirements.txt
报错:
Collecting torch<2.0.0,>=1.10
Using cached torch-1.13.1-cp310-cp310-manylinux1_x86_64.whl (887.5 MB)
Collecting bmtrain>=0.2.1
Using cached bmtrain-0.2.2.tar.gz (58 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [6 lines of output]
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "/tmp/pip-install-uftha_ch/bmtrain_6f467e6c12814fa9a32dccab67860fad/setup.py", line 2, in <module>
import torch
ModuleNotFoundError: No module named 'torch'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
尝试二:
1,手动安装 cuda 11.8 下的 pytorch 2.0, torch.cuda.is_available() 输出 True
2,手动安装 requirements.txt 下除 torch 外的所有包
例如:pip install bmtrain>=0.2.1
出现错误:
error: subprocess-exited-with-error
× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [102 lines of output]
running bdist_wheel
/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/torch/utils/cpp_extension.py:476: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
warnings.warn(msg.format('we could not find ninja.'))
running build
running build_py
creating build
creating build/lib.linux-x86_64-cpython-310
creating build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/checkpointing.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/init.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/block_layer.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/debug.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/param_init.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/global_var.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/synchronize.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/parameter.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/utils.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/pipe_layer.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/store.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/layer.py -> build/lib.linux-x86_64-cpython-310/bmtrain
copying bmtrain/wrapper.py -> build/lib.linux-x86_64-cpython-310/bmtrain
creating build/lib.linux-x86_64-cpython-310/bmtrain/loss
copying bmtrain/loss/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain/loss
copying bmtrain/loss/cross_entropy.py -> build/lib.linux-x86_64-cpython-310/bmtrain/loss
creating build/lib.linux-x86_64-cpython-310/bmtrain/optim
copying bmtrain/optim/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain/optim
copying bmtrain/optim/optim_manager.py -> build/lib.linux-x86_64-cpython-310/bmtrain/optim
copying bmtrain/optim/adam.py -> build/lib.linux-x86_64-cpython-310/bmtrain/optim
copying bmtrain/optim/adam_offload.py -> build/lib.linux-x86_64-cpython-310/bmtrain/optim
creating build/lib.linux-x86_64-cpython-310/bmtrain/benchmark
copying bmtrain/benchmark/shape.py -> build/lib.linux-x86_64-cpython-310/bmtrain/benchmark
copying bmtrain/benchmark/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain/benchmark
copying bmtrain/benchmark/send_recv.py -> build/lib.linux-x86_64-cpython-310/bmtrain/benchmark
copying bmtrain/benchmark/utils.py -> build/lib.linux-x86_64-cpython-310/bmtrain/benchmark
copying bmtrain/benchmark/all_gather.py -> build/lib.linux-x86_64-cpython-310/bmtrain/benchmark
copying bmtrain/benchmark/reduce_scatter.py -> build/lib.linux-x86_64-cpython-310/bmtrain/benchmark
creating build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
copying bmtrain/lr_scheduler/linear.py -> build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
copying bmtrain/lr_scheduler/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
copying bmtrain/lr_scheduler/cosine.py -> build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
copying bmtrain/lr_scheduler/noam.py -> build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
copying bmtrain/lr_scheduler/warmup.py -> build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
copying bmtrain/lr_scheduler/no_decay.py -> build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
copying bmtrain/lr_scheduler/exponential.py -> build/lib.linux-x86_64-cpython-310/bmtrain/lr_scheduler
creating build/lib.linux-x86_64-cpython-310/bmtrain/distributed
copying bmtrain/distributed/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain/distributed
copying bmtrain/distributed/ops.py -> build/lib.linux-x86_64-cpython-310/bmtrain/distributed
creating build/lib.linux-x86_64-cpython-310/bmtrain/inspect
copying bmtrain/inspect/model.py -> build/lib.linux-x86_64-cpython-310/bmtrain/inspect
copying bmtrain/inspect/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain/inspect
copying bmtrain/inspect/tensor.py -> build/lib.linux-x86_64-cpython-310/bmtrain/inspect
copying bmtrain/inspect/format.py -> build/lib.linux-x86_64-cpython-310/bmtrain/inspect
creating build/lib.linux-x86_64-cpython-310/bmtrain/nccl
copying bmtrain/nccl/__init__.py -> build/lib.linux-x86_64-cpython-310/bmtrain/nccl
copying bmtrain/nccl/enums.py -> build/lib.linux-x86_64-cpython-310/bmtrain/nccl
running build_ext
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "/tmp/pip-install-b8c4nobc/bmtrain_56a2d1d4a744452aa5d4e776460000db/setup.py", line 74, in <module>
setup(
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/__init__.py", line 107, in setup
return distutils.core.setup(**attrs)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 185, in setup
return run_commands(dist)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 201, in run_commands
dist.run_commands()
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 969, in run_commands
self.run_command(cmd)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/dist.py", line 1244, in run_command
super().run_command(command)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
cmd_obj.run()
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/wheel/bdist_wheel.py", line 325, in run
self.run_command("build")
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
self.distribution.run_command(command)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/dist.py", line 1244, in run_command
super().run_command(command)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
cmd_obj.run()
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/command/build.py", line 131, in run
self.run_command(cmd_name)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
self.distribution.run_command(command)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/dist.py", line 1244, in run_command
super().run_command(command)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
cmd_obj.run()
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/command/build_ext.py", line 84, in run
_build_ext.run(self)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 345, in run
self.build_extensions()
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 499, in build_extensions
_check_cuda_version(compiler_name, compiler_version)
File "/root/anaconda3/envs/CPM-Bee/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 387, in _check_cuda_version
raise RuntimeError(CUDA_MISMATCH_MESSAGE.format(cuda_str_version, torch.version.cuda))
RuntimeError:
The detected CUDA version (12.1) mismatches the version that was used to compile
PyTorch (11.8). Please make sure to use the same CUDA versions.
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for bmtrain
大概意思就是版本不兼容,所以 bmtrain 要怎么装?
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with requirements.txt and the bmtrain setup.py referenced in the installation trace, then reproduce the reported Python, PyTorch, and CUDA combinations. Compare the dependency and build requirements against the two failures; done means documenting or enabling a supported installation path that avoids the reported version mismatch.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- build-system, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100