尝试运行 tensorboard（对于 pytorch，在 windows 上）导致 AttributeError: type object 'h5py.h5.H5PYConfig' has no a
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【中文标题】尝试运行 tensorboard（对于 pytorch，在 windows 上）导致 AttributeError: type object \'h5py.h5.H5PYConfig\' has no attribute \'__reduce_cython__\'【英文标题】：trying to run tensorboard (for pytorch, on windows) results in AttributeError: type object 'h5py.h5.H5PYConfig' has no attribute '__reduce_cython__'尝试运行 tensorboard（对于 pytorch，在 windows 上）导致 AttributeError: type object 'h5py.h5.H5PYConfig' has no attribute '__reduce_cython__' 【发布时间】：2021-12-22 01:00:34 【问题描述】：看起来可能是构建问题，但在我从头开始构建环境后仍然会出现。
重要提示：我在windows环境下工作，不是使用tensorflow，而是pytorch和tensorboard。
我尝试了 conda install h5py 但 conda 列表仍然显示旧版本。
这是 conda 列表输出
# packages in environment at D:\ProgramData\Anaconda3\envs\env_new:
#
# Name Version Build Channel
absl-py 0.15.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.7.4.post0 py38h294d835_1 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
async-timeout 3.0.1 py38haa95532_0
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
blas 1.0 mkl
blinker 1.4 py_1 conda-forge
brotlipy 0.7.0 py38h294d835_1003 conda-forge
ca-certificates 2020.10.14 0 anaconda
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cachetools 4.2.4 pyhd8ed1ab_0 conda-forge
certifi 2020.6.20 py38_0 anaconda
cffi 1.15.0 py38hd8c33c5_0 conda-forge
chardet 4.0.0 py38haa244fe_2 conda-forge
charset-normalizer 2.0.0 pyhd8ed1ab_0 conda-forge
click 8.0.3 py38haa244fe_1 conda-forge
cloudpickle 2.0.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
coverage 6.1.1 py38h294d835_1 conda-forge
cryptography 35.0.0 py38hb7941b4_2 conda-forge
cudatoolkit 10.2.89 hb195166_9 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cython 0.29.24 py38h885f38d_1 conda-forge
cytoolz 0.11.2 py38h294d835_1 conda-forge
dask-core 2021.11.0 pyhd8ed1ab_0 conda-forge
dataclasses 0.8 pyhc8e2a94_3 conda-forge
dill 0.3.2 py_0 anaconda
enum34 1.1.10 py38h32f6830_2 conda-forge
filelock 3.3.2 pyhd8ed1ab_0 conda-forge
freetype 2.10.4 hd328e21_0
fsspec 2021.11.0 pyhd8ed1ab_0 conda-forge
geos 3.10.0 h39d44d4_0 conda-forge
google-auth 1.35.0 pyh6c4a22f_0 conda-forge
google-auth-oauthlib 0.4.6 pyhd8ed1ab_0 conda-forge
grpcio 1.36.1 py38hc60d5dd_1
h5py 2.10.0 py38h5e291fa_0 anaconda
hdf5 1.10.4 nompi_hcc15c50_1106 conda-forge
huggingface_hub 0.1.1 pyhd8ed1ab_0 conda-forge
icc_rt 2019.0.0 h0cc432a_1 anaconda
icu 58.2 vc14hc45fdbb_0 [vc14] anaconda
idna 3.1 pyhd3deb0d_0 conda-forge
imagecodecs-lite 2019.12.3 py38h347fdf6_3 conda-forge
imageio 2.9.0 py_0 conda-forge
imgaug 0.4.0 py_1 conda-forge
importlib-metadata 4.8.1 py38haa244fe_1 conda-forge
importlib_metadata 4.8.1 hd8ed1ab_1 conda-forge
intel-openmp 2021.4.0 haa95532_3556
joblib 0.17.0 py_0 anaconda
jpeg 9b vc14h4d7706e_1 [vc14] anaconda
kiwisolver 1.3.2 py38hbd9d945_1 conda-forge
krb5 1.19.2 h20d022d_3 conda-forge
libcurl 7.79.1 h789b8ee_1 conda-forge
libopencv 4.0.1 hbb9e17c_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.17.2 h23ce68f_1
libssh2 1.10.0 h680486a_2 conda-forge
libtiff 4.2.0 hd0e1b90_0
libuv 1.40.0 he774522_0
libwebp 1.2.0 h2bbff1b_0
locket 0.2.0 py_2 conda-forge
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.4 pyhd8ed1ab_0 conda-forge
matplotlib 3.4.3 py38haa244fe_1 conda-forge
matplotlib-base 3.4.3 py38h1f000d6_1 conda-forge
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py38h2bbff1b_0
mkl_fft 1.3.1 py38h277e83a_0
mkl_random 1.2.2 py38hf11a4ad_0
multicore-tsne 0.1_d4ff4aab py38h2f20550_1 conda-forge
multidict 5.2.0 py38h294d835_1 conda-forge
networkx 2.6.3 pyhd8ed1ab_1 conda-forge
nibabel 3.2.1 pyhd8ed1ab_0 conda-forge
numpy 1.21.2 py38hfca59bb_0
numpy-base 1.21.2 py38h0829f74_0
oauthlib 3.1.1 pyhd8ed1ab_0 conda-forge
olefile 0.46 pyhd3eb1b0_0
opencv 4.0.1 py38h2a7c758_0
openssl 1.1.1l h2bbff1b_0
packaging 21.0 pyhd8ed1ab_0 conda-forge
pandas 1.1.3 py38ha925a31_0 anaconda
partd 1.2.0 pyhd8ed1ab_0 conda-forge
pathlib 1.0.1 py38haa244fe_5 conda-forge
pillow 8.4.0 py38hd45dc43_0
pip 20.2.4 py38_0 anaconda
pooch 1.5.2 pyhd8ed1ab_0 conda-forge
protobuf 3.17.2 py38hd77b12b_0
py-opencv 4.0.1 py38he44ac1e_0
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.7 py_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pydicom 2.2.2 pyh6c4a22f_0 conda-forge
pyjwt 2.3.0 pyhd8ed1ab_0 conda-forge
pyopenssl 21.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.5 pyhd8ed1ab_0 conda-forge
pyqt 5.9.2 py38ha925a31_4 anaconda
pyreadline 2.1 py38haa244fe_1005 conda-forge
pysocks 1.7.1 py38haa244fe_4 conda-forge
python 3.8.5 h5fd99cc_1 anaconda
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytorch 1.10.0 py3.8_cuda10.2_cudnn7_0 pytorch
pytorch-metric-learning 0.9.99 pyh39e3cac_0 metric-learning
pytorch-mutex 1.0 cuda pytorch
pytz 2020.1 py_0 anaconda
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pywavelets 1.1.1 py38h6f4d8f0_4 conda-forge
pyyaml 3.13 py38hfa6e2cd_0 conda-forge
qt 5.9.7 vc14h73c81de_0 [vc14] anaconda
regex 2021.11.2 py38h294d835_0 conda-forge
requests 2.26.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.0 pyh9f0ad1d_0 conda-forge
rsa 4.7.2 pyh44b312d_0 conda-forge
sacremoses 0.0.46 pyhd8ed1ab_0 conda-forge
scikit-image 0.18.3 py38h5d928e2_0 conda-forge
scikit-learn 0.23.2 py38h47e9c7a_0 anaconda
scipy 1.7.1 py38hbe87c03_2
setuptools 50.3.0 py38h9490d1a_1 anaconda
shapely 1.8.0 py38he21f6c5_1 conda-forge
sip 4.19.25 py38h885f38d_1 conda-forge
six 1.16.0 pyhd3eb1b0_0
sqlite 3.33.0 h2a8f88b_0 anaconda
tensorboard 2.6.0 pyhd8ed1ab_1 conda-forge
tensorboard-data-server 0.6.0 py38haa244fe_1 conda-forge
tensorboard-plugin-wit 1.8.0 pyh44b312d_0 conda-forge
threadpoolctl 2.1.0 pyh5ca1d4c_0 anaconda
tifffile 2019.7.26.2 py38_0 conda-forge
tk 8.6.11 h2bbff1b_0
tokenizers 0.10.3 py38h291c280_1 conda-forge
tomli 1.2.2 pyhd8ed1ab_0 conda-forge
toolz 0.11.2 pyhd8ed1ab_0 conda-forge
torchaudio 0.10.0 py38_cu102 pytorch
torchvision 0.11.1 py38_cu102 pytorch
tornado 6.1 py38h294d835_2 conda-forge
tqdm 4.62.3 pyhd8ed1ab_0 conda-forge
transformers 4.12.3 pyhd8ed1ab_0 conda-forge
typing-extensions 3.10.0.2 hd3eb1b0_0
typing_extensions 3.10.0.2 pyh06a4308_0
urllib3 1.26.7 pyhd8ed1ab_0 conda-forge
vc 14.1 h0510ff6_4 anaconda
vs2015_runtime 14.16.27012 hf0eaf9b_3 anaconda
werkzeug 2.0.1 pyhd8ed1ab_0 conda-forge
wheel 0.35.1 py_0 anaconda
win_inet_pton 1.1.0 py38haa244fe_3 conda-forge
wincertstore 0.2 py38_0 anaconda
xz 5.2.5 h62dcd97_0
yaml 0.1.7 vc14h4cb57cf_1 [vc14] anaconda
yarl 1.7.2 py38h294d835_1 conda-forge
zipp 3.6.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 vc14h1cdd9ab_1 [vc14] anaconda
zstd 1.4.9 h19a0ad4_0
和堆栈跟踪：
Traceback (most recent call last):
File "<input>", line 3, in <module>
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_umd.py", line 197, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "D:/ProgramData/Anaconda3/envs/env_zoo/Lib/site-packages/tensorboard/main.py", line 40, in <module>
from tensorboard import default
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorboard\default.py", line 39, in <module>
from tensorboard.plugins.beholder import beholder_plugin_loader
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorboard\plugins\beholder\__init__.py", line 18, in <module>
import tensorflow
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python.feature_column import feature_column_lib as feature_column
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\feature_column\feature_column_lib.py", line 22, in <module>
from tensorflow.python.feature_column.feature_column import *
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\feature_column\feature_column.py", line 147, in <module>
from tensorflow.python.layers import base
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\layers\base.py", line 20, in <module>
from tensorflow.python.keras.legacy_tf_layers import base
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\__init__.py", line 25, in <module>
from tensorflow.python.keras import models
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\models.py", line 20, in <module>
from tensorflow.python.keras import metrics as metrics_module
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\metrics.py", line 34, in <module>
from tensorflow.python.keras import activations
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\activations.py", line 18, in <module>
from tensorflow.python.keras.layers import advanced_activations
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\layers\__init__.py", line 29, in <module>
from tensorflow.python.keras.layers.preprocessing.image_preprocessing import CenterCrop
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\layers\preprocessing\image_preprocessing.py", line 29, in <module>
from tensorflow.python.keras.preprocessing import image as image_preprocessing
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\preprocessing\__init__.py", line 26, in <module>
from tensorflow.python.keras.utils import all_utils as utils
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\utils\all_utils.py", line 34, in <module>
from tensorflow.python.keras.utils.multi_gpu_utils import multi_gpu_model
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\utils\multi_gpu_utils.py", line 19, in <module>
from tensorflow.python.keras.engine.training import Model
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\engine\training.py", line 53, in <module>
from tensorflow.python.keras.saving import save
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\tensorflow\python\keras\saving\save.py", line 30, in <module>
import h5py
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\h5py\__init__.py", line 34, in <module>
from . import version
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "D:\ProgramData\Anaconda3\envs\env_zoo\lib\site-packages\h5py\version.py", line 17, in <module>
from . import h5 as _h5
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
File "h5py\h5.pyx", line 41, in init h5py.h5
AttributeError: type object 'h5py.h5.H5PYConfig' has no attribute '__reduce_cython__'
我只尝试启动 tensorboard 并收到此消息。
如果我发布问题的方式有问题，请提供建设性反馈。
【问题讨论】：
有什么特别的理由要从头开始构建它吗？ 我怀疑存在依赖问题，所以我创建了一个新的 conda env 并尝试通过单独安装每个包来查明有问题的包。它没有解决问题。 【参考方案1】：Tensorboard 现在是 pytorch 本身的一部分(link)
只需导入以下内容
from torch.utils.tensorboard import SummaryWriter
对于要在tensorboard上跟踪的变量，在代码中添加以下内容
var = <value_you_want_to_track>
writer.add_scalar('<variable_name>',var,epoch)
一旦你在代码中定义了你的张量板变量，在你的 main.py 中，你可以编写以下内容
writer = SummaryWriter(path_of_runs_folder)
编辑 1：由于 OP 想要一种在不处理单个依赖项的情况下安装 tensorboard 的方法，因此我创建了 YAML 文件，您可以在您的机器中使用它来设置环境。
将以下代码块保存为 env.yml
name: pytorch_tensorboard
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- absl-py=0.15.0=pyhd8ed1ab_0
- aiohttp=3.7.4.post0=py38h497a2fe_0
- async-timeout=3.0.1=py38h06a4308_0
- attrs=21.2.0=pyhd8ed1ab_0
- blas=1.0=mkl
- blinker=1.4=py_1
- brotlipy=0.7.0=py38h497a2fe_1001
- bzip2=1.0.8=h7b6447c_0
- c-ares=1.17.1=h27cfd23_0
- ca-certificates=2021.10.8=ha878542_0
- cachetools=4.2.4=pyhd8ed1ab_0
- certifi=2021.10.8=py38h578d9bd_1
- cffi=1.14.6=py38h400218f_0
- chardet=4.0.0=py38h578d9bd_2
- charset-normalizer=2.0.0=pyhd8ed1ab_0
- click=8.0.3=py38h578d9bd_1
- cryptography=35.0.0=py38ha5dfef3_0
- cudatoolkit=10.2.89=hfd86e86_1
- dataclasses=0.8=pyhc8e2a94_3
- ffmpeg=4.3=hf484d3e_0
- freetype=2.11.0=h70c0345_0
- giflib=5.2.1=h7b6447c_0
- gmp=6.2.1=h2531618_2
- gnutls=3.6.15=he1e5248_0
- google-auth=1.35.0=pyh6c4a22f_0
- google-auth-oauthlib=0.4.6=pyhd8ed1ab_0
- grpcio=1.37.1=py38hdd6454d_0
- idna=3.1=pyhd3deb0d_0
- importlib-metadata=4.8.2=py38h578d9bd_0
- intel-openmp=2021.4.0=h06a4308_3561
- jpeg=9d=h7f8727e_0
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.35.1=h7274673_9
- libffi=3.3=he6710b0_2
- libgcc-ng=9.3.0=h5101ec6_17
- libgomp=9.3.0=h5101ec6_17
- libiconv=1.15=h63c8f33_5
- libidn2=2.3.2=h7f8727e_0
- libpng=1.6.37=hbc83047_0
- libprotobuf=3.15.8=h780b84a_0
- libstdcxx-ng=9.3.0=hd4cf53a_17
- libtasn1=4.16.0=h27cfd23_0
- libtiff=4.2.0=h85742a9_0
- libunistring=0.9.10=h27cfd23_0
- libuv=1.40.0=h7b6447c_0
- libwebp=1.2.0=h89dd481_0
- libwebp-base=1.2.0=h27cfd23_0
- lz4-c=1.9.3=h295c915_1
- markdown=3.3.4=pyhd8ed1ab_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py38h7f8727e_0
- mkl_fft=1.3.1=py38hd3c417c_0
- mkl_random=1.2.2=py38h51133e4_0
- multidict=5.1.0=py38h27cfd23_2
- ncurses=6.3=heee7806_1
- nettle=3.7.3=hbbd107a_1
- numpy=1.21.2=py38h20f2e39_0
- numpy-base=1.21.2=py38h79a1101_0
- oauthlib=3.1.1=pyhd8ed1ab_0
- olefile=0.46=pyhd3eb1b0_0
- openh264=2.1.0=hd408876_0
- openssl=1.1.1l=h7f8727e_0
- pillow=8.4.0=py38h5aabda8_0
- pip=21.2.4=py38h06a4308_0
- protobuf=3.15.8=py38h709712a_0
- pyasn1=0.4.8=py_0
- pyasn1-modules=0.2.7=py_0
- pycparser=2.21=pyhd8ed1ab_0
- pyjwt=2.3.0=pyhd8ed1ab_0
- pyopenssl=21.0.0=pyhd8ed1ab_0
- pysocks=1.7.1=py38h578d9bd_4
- python=3.8.5=h7579374_1
- python_abi=3.8=2_cp38
- pytorch=1.10.0=py3.8_cuda10.2_cudnn7.6.5_0
- pytorch-mutex=1.0=cuda
- pyu2f=0.1.5=pyhd8ed1ab_0
- readline=8.1=h27cfd23_0
- requests=2.26.0=pyhd8ed1ab_0
- requests-oauthlib=1.3.0=pyh9f0ad1d_0
- rsa=4.7.2=pyh44b312d_0
- setuptools=58.0.4=py38h06a4308_0
- six=1.16.0=pyhd3eb1b0_0
- sqlite=3.36.0=hc218d9a_0
- tensorboard=2.6.0=pyhd8ed1ab_1
- tensorboard-data-server=0.6.0=py38h2b97feb_0
- tensorboard-plugin-wit=1.8.0=pyh44b312d_0
- tk=8.6.11=h1ccaba5_0
- torchaudio=0.10.0=py38_cu102
- torchvision=0.11.1=py38_cu102
- typing-extensions=3.10.0.2=hd3eb1b0_0
- typing_extensions=3.10.0.2=pyh06a4308_0
- tzdata=2021e=hda174b7_0
- urllib3=1.26.7=pyhd8ed1ab_0
- werkzeug=2.0.1=pyhd8ed1ab_0
- wheel=0.37.0=pyhd3eb1b0_1
- xz=5.2.5=h7b6447c_0
- yarl=1.6.3=py38h497a2fe_2
- zipp=3.6.0=pyhd8ed1ab_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.9=haebb681_0
现在在您保存上述文件的目录中运行以下命令
conda env create --file env.yml
这会将带有 cuda、Python 3.8.5 和 Tensorboard 的 Pytorch 1.10 设置到环境中，您无需为每个依赖项手动执行此操作。
环境将以“pytorch_tensorboard”的名称创建。您可以通过修改 env.yml 的第一行来更改它
【讨论】：
这不能回答我的问题。在 pytorch tensorboard 教程中，显示您仍然需要安装 tensorboard。当我尝试从 tensorboard 包运行“main”时收到的错误消息。 @enter_thevoid 查看编辑 1。执行这些步骤可以解决您的问题。了解一下 无法使用您发送的 yml 文件，出现 ResolvePackageNotFound 错误。 您能显示错误吗，根据错误及其版本，您这边没有哪些软件包可用 啊，是的(github.com/conda/conda/issues/7311#issuecomment-442320274)，我的是linux，你的是windows，导出可能会因此失败。让我在 windows 中创建类似的环境并更新答案以上是关于尝试运行 tensorboard（对于 pytorch，在 windows 上）导致 AttributeError: type object 'h5py.h5.H5PYConfig' has no a的主要内容，如果未能解决你的问题，请参考以下文章
尝试重用已终止的 Windows PID 时如何重置 Tensorboard