按照困难的安装教程报错 #2140

LZH-0225 · 2022-07-12T09:36:41Z

命令：sudo pip install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple
报错：
Running setup.py develop for paddlespeech
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/home/lizhaohui/PaddleSpeech-develop/setup.py'"'"'; file='"'"'/home/lizhaohui/PaddleSpeech-develop/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' develop --no-deps
cwd: /home/lizhaohui/PaddleSpeech-develop/
Complete output (149 lines):
fatal: not a git repository (or any of the parent directories): .git

__version__ = '0.0.0'


__commit__ = ''

write_version_py done
running develop
running egg_info
writing paddlespeech.egg-info/PKG-INFO
writing dependency_links to paddlespeech.egg-info/dependency_links.txt
writing entry points to paddlespeech.egg-info/entry_points.txt
writing requirements to paddlespeech.egg-info/requires.txt
writing top-level names to paddlespeech.egg-info/top_level.txt
reading manifest file 'paddlespeech.egg-info/SOURCES.txt'
writing manifest file 'paddlespeech.egg-info/SOURCES.txt'
running build_ext
Creating /usr/local/lib/python3.8/dist-packages/paddlespeech.egg-link (link to .)
paddlespeech 0.0.0 is already the active version in easy-install.pth
Installing paddlespeech script to /usr/local/bin
Installing paddlespeech_client script to /usr/local/bin
Installing paddlespeech_server script to /usr/local/bin

Installed /home/lizhaohui/PaddleSpeech-develop
Post Install...
apt update -y

WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

命中:1 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64  InRelease
命中:2 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu focal InRelease
命中:3 https://download.docker.com/linux/ubuntu focal InRelease
命中:4 https://apt.repos.intel.com/mkl all InRelease
命中:5 http://mirrors.aliyun.com/ubuntu focal InRelease
命中:6 http://mirrors.aliyun.com/ubuntu focal-security InRelease
命中:7 http://mirrors.aliyun.com/ubuntu focal-updates InRelease
命中:8 http://mirrors.aliyun.com/ubuntu focal-proposed InRelease
命中:9 http://mirrors.aliyun.com/ubuntu focal-backports InRelease
正在读取软件包列表...
正在分析软件包的依赖关系树...
正在读取状态信息...
有 396 个软件包可以升级。请执行 ‘apt list --upgradable’ 来查看它们。
apt install -y bc flac jq vim tig tree sox pkg-config libsndfile1 libflac-dev libogg-dev libvorbis-dev libboost-dev swig python3-dev

WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

正在读取软件包列表...
正在分析软件包的依赖关系树...
正在读取状态信息...
bc 已经是最新版 (1.07.1-2build1)。
libboost-dev 已经是最新版 (1.71.0.0ubuntu2)。
libflac-dev 已经是最新版 (1.3.3-1build1)。
libogg-dev 已经是最新版 (1.3.4-0ubuntu1)。
libvorbis-dev 已经是最新版 (1.3.6-2ubuntu1)。
pkg-config 已经是最新版 (0.29.1-0ubuntu4)。
python3-dev 已经是最新版 (3.8.2-0ubuntu2)。
flac 已经是最新版 (1.3.3-1build1)。
sox 已经是最新版 (14.4.2+git20190427-2)。
swig 已经是最新版 (4.0.1-5build1)。
tig 已经是最新版 (2.4.1-1ubuntu1)。
tree 已经是最新版 (1.8.0-1)。
libsndfile1 已经是最新版 (1.0.28-7ubuntu0.1)。
vim 已经是最新版 (2:8.1.2269-1ubuntu5.7)。
jq 已经是最新版 (1.6-1ubuntu0.20.04.1)。
下列软件包是自动安装的并且现在不需要了：
  linux-headers-5.4.0-44 linux-headers-5.4.0-44-generic
  linux-image-5.4.0-44-generic linux-modules-5.4.0-44-generic
  linux-modules-extra-5.4.0-44-generic
使用'sudo apt autoremove'来卸载它(它们)。
升级了 0 个软件包，新安装了 0 个软件包，要卸载 0 个软件包，有 396 个软件包未被升级。
echo "check_certificate = off" >> ~/.wgetrc
touch apt.done
# Ubuntu 16.04 透過 apt 會安裝 boost 1.58.0
# it seems that boost (1.54.0) requires higher version. After I switched to g++-5 it compiles normally.
apt install -y --allow-unauthenticated build-essential cmake libboost-system-dev libboost-thread-dev libboost-program-options-dev libboost-test-dev libeigen3-dev zlib1g-dev libbz2-dev liblzma-dev

WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

正在读取软件包列表...
正在分析软件包的依赖关系树...
正在读取状态信息...
cmake 已经是最新版 (3.16.3-1ubuntu1)。
libboost-program-options-dev 已经是最新版 (1.71.0.0ubuntu2)。
libboost-system-dev 已经是最新版 (1.71.0.0ubuntu2)。
libboost-thread-dev 已经是最新版 (1.71.0.0ubuntu2)。
libbz2-dev 已经是最新版 (1.0.8-2)。
libboost-test-dev 已经是最新版 (1.71.0.0ubuntu2)。
libeigen3-dev 已经是最新版 (3.3.7-2)。
liblzma-dev 已经是最新版 (5.2.4-1ubuntu1.1)。
zlib1g-dev 已经是最新版 (1:1.2.11.dfsg-2ubuntu1.3)。
build-essential 已经是最新版 (12.8ubuntu1.1)。
下列软件包是自动安装的并且现在不需要了：
  linux-headers-5.4.0-44 linux-headers-5.4.0-44-generic
  linux-image-5.4.0-44-generic linux-modules-5.4.0-44-generic
  linux-modules-extra-5.4.0-44-generic
使用'sudo apt autoremove'来卸载它(它们)。
升级了 0 个软件包，新安装了 0 个软件包，要卸载 0 个软件包，有 396 个软件包未被升级。
apt-get install -y gcc-5 g++-5 && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 50  && update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-5 50
正在读取软件包列表...
正在分析软件包的依赖关系树...
正在读取状态信息...
没有可用的软件包 g++-5，但是它被其它的软件包引用了。
这可能意味着这个缺失的软件包可能已被废弃，
或者只能在其他发布源中找到
然而下列软件包会取代它：
  gcc-10-test-results gcc-9-test-results:i386 gcc-10-test-results:i386
  gcc-9-test-results gcc-8-test-results:i386 gcc-8-test-results
  gcc-7-test-results

没有可用的软件包 gcc-5，但是它被其它的软件包引用了。
这可能意味着这个缺失的软件包可能已被废弃，
或者只能在其他发布源中找到

E: 软件包 gcc-5 没有可安装候选
E: 软件包 g++-5 没有可安装候选
make: *** [Makefile:37: kenlm.done] Error 100
/home/lizhaohui/PaddleSpeech-develop/setup.py:126: CMD: git rev-parse HEAD, Error: b''
/home/lizhaohui/PaddleSpeech-develop/setup.py:113: CMD: make, Error: None
/usr/lib/python3/dist-packages/requests/__init__.py:89: RequestsDependencyWarning: urllib3 (1.26.10) or chardet (3.0.4) doesn't match a supported version!
  warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/home/lizhaohui/PaddleSpeech-develop/setup.py", line 331, in <module>
    setup(**setup_info)
  File "/usr/lib/python3/dist-packages/setuptools/__init__.py", line 144, in setup
    return distutils.core.setup(**attrs)
  File "/usr/lib/python3.8/distutils/core.py", line 148, in setup
    dist.run_commands()
  File "/usr/lib/python3.8/distutils/dist.py", line 966, in run_commands
    self.run_command(cmd)
  File "/usr/lib/python3.8/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "/home/lizhaohui/PaddleSpeech-develop/setup.py", line 176, in run
    self.execute(_post_install, (self.install_lib, ), msg="Post Install...")
  File "/usr/lib/python3.8/distutils/cmd.py", line 335, in execute
    util.execute(func, args, msg, dry_run=self.dry_run)
  File "/usr/lib/python3.8/distutils/util.py", line 303, in execute
    func(*args)
  File "/home/lizhaohui/PaddleSpeech-develop/setup.py", line 162, in _post_install
    check_call("make")
  File "/home/lizhaohui/PaddleSpeech-develop/setup.py", line 116, in check_call
    raise e
  File "/home/lizhaohui/PaddleSpeech-develop/setup.py", line 107, in check_call
    sp.check_call(
  File "/usr/lib/python3.8/subprocess.py", line 364, in check_call
    raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['make']' returned non-zero exit status 2.
/home/lizhaohui/PaddleSpeech-develop/tools
----------------------------------------

ERROR: Can't roll back paddlespeech; was not uninstalled
ERROR: Command errored out with exit status 1: /usr/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/home/lizhaohui/PaddleSpeech-develop/setup.py'"'"'; file='"'"'/home/lizhaohui/PaddleSpeech-develop/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' develop --no-deps Check the logs for full command output.

The text was updated successfully, but these errors were encountered:

yt605155624 · 2022-07-12T09:45:46Z

请仔细看报错信息，没有 gcc 和 g++, 请先安装：)

LZH-0225 · 2022-07-15T02:48:57Z

请仔细看报错信息，没有 gcc 和 g++, 请先安装：)
我有两个问题：1、我想问一下，就是安装paddlespeech需要gcc-5，我把我原来的gcc卸载，换成gcc-5，但是我再去跑pytorch的代码出现这样的问题，请问你们有遇到吗？后来我把gcc升级成gcc-9，仍然会报错，想问一下你们是否遇到此类问题，有没有什么解决方法。
2、还有一个就是，我不太了解docker，可以麻烦更新一下那个困难安装模式的docker的redeme，可以写的更加流程化的吗？感觉这样对新手更加友好一些，谢谢。

Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.
Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.

Error executing job with overrides: ['experiment=audio-classify', 'trainer.gpus=4', '+trainer.strategy=ddp']
Error executing job with overrides: ['experiment=audio-classify', 'trainer.gpus=4', '+trainer.strategy=ddp']
Traceback (most recent call last):
File "train.py", line 24, in main
return train(config)
File "/home/lizhaohui/simpleaudio-audio-classifier/src/training_pipeline.py", line 88, in train
trainer.fit(model=model, datamodule=datamodule)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 770, in fit
self._call_and_handle_interrupt(
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 721, in _call_and_handle_interrupt
return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 93, in launch
return function(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 811, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1236, in _run
results = self._run_stage()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1323, in _run_stage
return self._run_train()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1345, in _run_train
self._run_sanity_check()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1413, in _run_sanity_check
val_loop.run()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 154, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 199, in run
self.on_run_start(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 88, in on_run_start
self._data_fetcher = iter(data_fetcher)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/fetching.py", line 178, in iter
self.dataloader_iter = iter(self.dataloader)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 368, in iter
return self._get_iterator()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 314, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 965, in init
self._reset(loader, first_iter=True)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 996, in _reset
self._try_put_index()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1241, in _try_put_index
self._index_queues[worker_queue_idx].put((self._send_idx, index))
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 88, in put
self._start_thread()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 173, in _start_thread
self._thread.start()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 857, in start
self._started.wait()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 558, in wait
signaled = self._cond.wait(timeout)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 302, in wait
waiter.acquire()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 194526) is killed by signal: Terminated.

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
Error executing job with overrides: ['experiment=audio-classify', 'trainer.gpus=4', '+trainer.strategy=ddp']
Error executing job with overrides: ['experiment=audio-classify', 'trainer.gpus=4', '+trainer.strategy=ddp']
Traceback (most recent call last):
File "/home/lizhaohui/simpleaudio-audio-classifier/train.py", line 24, in main
return train(config)
File "/home/lizhaohui/simpleaudio-audio-classifier/src/training_pipeline.py", line 88, in train
trainer.fit(model=model, datamodule=datamodule)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 770, in fit
self._call_and_handle_interrupt(
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 723, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 811, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1236, in _run
results = self._run_stage()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1323, in _run_stage
return self._run_train()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1345, in _run_train
self._run_sanity_check()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1413, in _run_sanity_check
val_loop.run()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 154, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 199, in run
self.on_run_start(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 88, in on_run_start
self._data_fetcher = iter(data_fetcher)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/fetching.py", line 178, in iter
self.dataloader_iter = iter(self.dataloader)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 368, in iter
return self._get_iterator()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 314, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 965, in init
self._reset(loader, first_iter=True)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 996, in _reset
self._try_put_index()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1241, in _try_put_index
self._index_queues[worker_queue_idx].put((self._send_idx, index))
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 88, in put
self._start_thread()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 173, in _start_thread
self._thread.start()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 857, in start
self._started.wait()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 558, in wait
signaled = self._cond.wait(timeout)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 302, in wait
waiter.acquire()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 195006) is killed by signal: Terminated.

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
Traceback (most recent call last):
File "/home/lizhaohui/simpleaudio-audio-classifier/train.py", line 24, in main
return train(config)
File "/home/lizhaohui/simpleaudio-audio-classifier/src/training_pipeline.py", line 88, in train
trainer.fit(model=model, datamodule=datamodule)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 770, in fit
self._call_and_handle_interrupt(
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 723, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 811, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1236, in _run
results = self._run_stage()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1323, in _run_stage
return self._run_train()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1345, in _run_train
self._run_sanity_check()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1413, in _run_sanity_check
val_loop.run()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 154, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 199, in run
self.on_run_start(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 88, in on_run_start
self._data_fetcher = iter(data_fetcher)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/fetching.py", line 178, in iter
self.dataloader_iter = iter(self.dataloader)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 368, in iter
return self._get_iterator()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 314, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 965, in init
self._reset(loader, first_iter=True)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 996, in _reset
self._try_put_index()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1241, in _try_put_index
self._index_queues[worker_queue_idx].put((self._send_idx, index))
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 88, in put
self._start_thread()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 173, in _start_thread
self._thread.start()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 857, in start
self._started.wait()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 558, in wait
signaled = self._cond.wait(timeout)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 302, in wait
waiter.acquire()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 194607) is killed by signal: Terminated.

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
Traceback (most recent call last):
File "/home/lizhaohui/simpleaudio-audio-classifier/train.py", line 24, in main
return train(config)
File "/home/lizhaohui/simpleaudio-audio-classifier/src/training_pipeline.py", line 88, in train
trainer.fit(model=model, datamodule=datamodule)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 770, in fit
self._call_and_handle_interrupt(
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 723, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 811, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1236, in _run
results = self._run_stage()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1323, in _run_stage
return self._run_train()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1345, in _run_train
self._run_sanity_check()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1413, in _run_sanity_check
val_loop.run()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 154, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/base.py", line 199, in run
self.on_run_start(*args, **kwargs)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 88, in on_run_start
self._data_fetcher = iter(data_fetcher)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/fetching.py", line 178, in iter
self.dataloader_iter = iter(self.dataloader)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 368, in iter
return self._get_iterator()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 314, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 965, in init
self._reset(loader, first_iter=True)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 996, in _reset
self._try_put_index()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1241, in _try_put_index
self._index_queues[worker_queue_idx].put((self._send_idx, index))
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 88, in put
self._start_thread()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/multiprocessing/queues.py", line 173, in _start_thread
self._thread.start()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 857, in start
self._started.wait()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 558, in wait
signaled = self._cond.wait(timeout)
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/threading.py", line 302, in wait
waiter.acquire()
File "/home/lizhaohui/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 194527) is killed by signal: Terminated.

Shift + Enter 换行

yt605155624 · 2022-07-15T07:27:03Z

看起来程序想用 4 块 GPU 跑程序，你机器上是否没有足够的 GPU? 可以根据自己的机器情况调整这些参数

yt605155624 added the Installation label Jul 12, 2022

yt605155624 mentioned this issue Jul 14, 2022

🏗️ 安装报错留言区（Summary of Installation Errors） #2150

Open

yt605155624 closed this as completed Jul 27, 2022

Ray961123 mentioned this issue Nov 29, 2024

源码安装paddlespeech报错 #3909

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按照困难的安装教程报错 #2140

按照困难的安装教程报错 #2140

LZH-0225 commented Jul 12, 2022

yt605155624 commented Jul 12, 2022

LZH-0225 commented Jul 15, 2022

yt605155624 commented Jul 15, 2022

按照困难的安装教程报错 #2140

按照困难的安装教程报错 #2140

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LZH-0225 commented Jul 12, 2022

yt605155624 commented Jul 12, 2022

LZH-0225 commented Jul 15, 2022

yt605155624 commented Jul 15, 2022