能发一下你运行成功的环境吗？ #6
Comments
|
安装了ubuntu的24.04、22.04，可是都出现了包版本冲突， To fix this you could try to:
Pip subprocess error: failed |
|
1、我尝试过导出一个docker，失败了。 |
|
您好！
来信收悉，感谢您的数据，我在我电脑上用您数据再调整一下，有不懂再向您请教！谢谢！
lhw828 ***@***.***> 于2024年6月17日周一 11:17写道：
… 1、我尝试过导出一个docker，失败了。
2、Ubuntu版本：
NoLSB modules are available. Distributor ID: Ubuntu Description: Ubuntu
24.04 LTS Release: 24.04 Codename: noble
3、conda --version conda 24.1.2
4、yml文件：
environment0.zip
<https://github.com/user-attachments/files/15861036/environment0.zip>
5、如果需我可以打包一份Ubuntu的虚拟机镜像文件。
—
Reply to this email directly, view it on GitHub
<#6 (comment)>, or
unsubscribe
<https://github.com/notifications/unsubscribe-auth/ALQSPNMGDMEFBVEH4YDLUD3ZHZIK7AVCNFSM6AAAAABJLMJK3GVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNZSGA4TONRZGI>
.
You are receiving this because you authored the thread.Message ID:
***@***.***>
|
|
您好！
我在24.04环境里安装了一下您发来的yml文件，卡在了
graphviz这个包上。我单独安装这个包，再装环境（把>=0.20.1去掉），也还是不行，不知您能否抽空帮忙指导一下，谢谢您！具体环境和报错如下：
***@***.***:~/timesfm$ python --version
Python 3.11.7
***@***.***:~/timesfm$ anaconda --version
anaconda Command line client (version 1.12.3)
***@***.***:~/timesfm$ conda --version
conda 24.1.2
***@***.***:~/timesfm$ conda env create --file=environment0.yml
Channels:
- conda-forge
- defaults
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Installing pip dependencies: \ Ran pip subprocess with arguments:
['/home/zd/anaconda3/envs/tfm_env/bin/python', '-m', 'pip', 'install',
'-U', '-r', '/tmp/condaenv._xkfsx8g.requirements.txt', '--exists-action=b']
Pip subprocess output:
Collecting absl-py==1.4.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 1))
Using cached absl_py-1.4.0-py3-none-any.whl.metadata (2.3 kB)
Collecting array-record==0.5.1 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 2))
Using cached
array_record-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(699 bytes)
Collecting astunparse==1.6.3 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 3))
Using cached astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB)
Collecting cachetools==5.3.3 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 4))
Using cached cachetools-5.3.3-py3-none-any.whl.metadata (5.3 kB)
Collecting chex==0.1.86 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 5))
Using cached chex-0.1.86-py3-none-any.whl.metadata (17 kB)
Collecting click==8.1.7 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 6))
Using cached click-8.1.7-py3-none-any.whl.metadata (3.0 kB)
Collecting clu==0.0.11 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 7))
Using cached clu-0.0.11-py3-none-any.whl.metadata (1.9 kB)
Collecting colorama==0.4.6 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 8))
Using cached colorama-0.4.6-py2.py3-none-any.whl.metadata (17 kB)
Collecting contextlib2==21.6.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 9))
Using cached contextlib2-21.6.0-py2.py3-none-any.whl.metadata (4.1 kB)
Collecting contourpy==1.2.1 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 10))
Using cached
contourpy-1.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(5.8 kB)
Collecting cycler==0.12.1 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 11))
Using cached cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB)
Collecting dm-tree==0.1.8 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 12))
Using cached
dm_tree-0.1.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(1.9 kB)
Collecting docstring-parser==0.16 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 13))
Using cached docstring_parser-0.16-py3-none-any.whl.metadata (3.0 kB)
Collecting editdistance==0.8.1 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 14))
Using cached
editdistance-0.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(3.9 kB)
Collecting einops==0.7.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 15))
Using cached einops-0.7.0-py3-none-any.whl.metadata (13 kB)
Collecting einshape==1.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 16))
Using cached einshape-1.0-py3-none-any.whl.metadata (706 bytes)
Collecting etils==1.7.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 17))
Using cached etils-1.7.0-py3-none-any.whl.metadata (6.4 kB)
Collecting fiddle==0.3.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 18))
Using cached fiddle-0.3.0-py3-none-any.whl.metadata (2.3 kB)
Collecting filelock==3.14.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 19))
Using cached filelock-3.14.0-py3-none-any.whl.metadata (2.8 kB)
Collecting flatbuffers==1.12 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 20))
Using cached flatbuffers-1.12-py2.py3-none-any.whl.metadata (872 bytes)
Collecting flax==0.8.2 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 21))
Using cached flax-0.8.2-py3-none-any.whl.metadata (10 kB)
Collecting fonttools==4.51.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 22))
Using cached
fonttools-4.51.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(159 kB)
Collecting fsspec==2024.5.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 23))
Using cached fsspec-2024.5.0-py3-none-any.whl.metadata (11 kB)
Collecting future==1.0.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 24))
Using cached future-1.0.0-py3-none-any.whl.metadata (4.0 kB)
Collecting gast==0.4.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 25))
Using cached gast-0.4.0-py3-none-any.whl.metadata (1.1 kB)
Collecting gin-config==0.5.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 26))
Using cached gin_config-0.5.0-py3-none-any.whl.metadata (2.9 kB)
Collecting google-auth==2.29.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 27))
Using cached google_auth-2.29.0-py2.py3-none-any.whl.metadata (4.7 kB)
Collecting google-auth-oauthlib==0.4.6 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 28))
Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl.metadata
(2.7 kB)
Collecting google-pasta==0.2.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 29))
Using cached google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes)
Collecting googleapis-common-protos==1.63.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 30))
Using cached
googleapis_common_protos-1.63.0-py2.py3-none-any.whl.metadata (1.5 kB)
Collecting graph-compression-google-research==0.0.4 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 31))
Using cached
graph_compression_google_research-0.0.4-py3-none-any.whl.metadata (8.5 kB)
Collecting grpcio==1.63.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 32))
Using cached
grpcio-1.63.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(3.2 kB)
Collecting h5py==3.11.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 33))
Using cached
h5py-3.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(2.5 kB)
Collecting huggingface-hub==0.23.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 34))
Using cached huggingface_hub-0.23.0-py3-none-any.whl.metadata (12 kB)
Collecting immutabledict==4.2.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 35))
Using cached immutabledict-4.2.0-py3-none-any.whl.metadata (3.4 kB)
Collecting inquirerpy==0.3.4 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 36))
Using cached InquirerPy-0.3.4-py3-none-any.whl.metadata (8.1 kB)
Collecting ipywidgets==8.1.2 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 37))
Using cached ipywidgets-8.1.2-py3-none-any.whl.metadata (2.4 kB)
Collecting jax==0.4.26 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 38))
Using cached jax-0.4.26-py3-none-any.whl.metadata (23 kB)
Collecting jax-bitempered-loss==0.0.2 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 39))
Using cached jax_bitempered_loss-0.0.2-py3-none-any.whl.metadata (4.0 kB)
Collecting jaxlib==0.4.26 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 40))
Using cached jaxlib-0.4.26-cp310-cp310-manylinux2014_x86_64.whl.metadata
(1.8 kB)
Collecting jaxtyping==0.2.28 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 41))
Using cached jaxtyping-0.2.28-py3-none-any.whl.metadata (6.4 kB)
Collecting joblib==1.4.2 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 42))
Using cached joblib-1.4.2-py3-none-any.whl.metadata (5.4 kB)
Collecting jupyter==1.0.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 43))
Using cached jupyter-1.0.0-py2.py3-none-any.whl.metadata (995 bytes)
Collecting jupyter-console==6.6.3 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 44))
Using cached jupyter_console-6.6.3-py3-none-any.whl.metadata (5.8 kB)
Collecting jupyter-http-over-ws==0.0.8 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 45))
Using cached jupyter_http_over_ws-0.0.8-py2.py3-none-any.whl.metadata
(1.1 kB)
Collecting jupyterlab-widgets==3.0.10 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 46))
Using cached jupyterlab_widgets-3.0.10-py3-none-any.whl.metadata (4.1 kB)
Collecting keras==2.9.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 47))
Using cached keras-2.9.0-py2.py3-none-any.whl.metadata (1.3 kB)
Collecting keras-preprocessing==1.1.2 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 48))
Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl.metadata (1.9
kB)
Collecting kiwisolver==1.4.5 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 49))
Using cached
kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata
(6.4 kB)
Collecting libclang==18.1.1 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 50))
Using cached
libclang-18.1.1-py2.py3-none-manylinux2010_x86_64.whl.metadata (5.2 kB)
Collecting libcst==1.3.1 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 51))
Using cached
libcst-1.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(17 kB)
Collecting lingvo==0.12.7 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 52))
Using cached
lingvo-0.12.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(1.5 kB)
Collecting markdown==3.6 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 53))
Using cached Markdown-3.6-py3-none-any.whl.metadata (7.0 kB)
Collecting markdown-it-py==3.0.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 54))
Using cached markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)
Collecting matplotlib==3.9.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 55))
Using cached
matplotlib-3.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(11 kB)
Collecting mdurl==0.1.2 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 56))
Using cached mdurl-0.1.2-py3-none-any.whl.metadata (1.6 kB)
Collecting mesh-tensorflow==0.1.21 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 57))
Using cached mesh_tensorflow-0.1.21-py3-none-any.whl.metadata (1.0 kB)
Collecting ml-collections==0.1.1 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 58))
Using cached ml_collections-0.1.1.tar.gz (77 kB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Collecting ml-dtypes==0.4.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 59))
Using cached
ml_dtypes-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(20 kB)
Collecting model-pruning-google-research==0.0.5 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 60))
Using cached
model_pruning_google_research-0.0.5-py3-none-any.whl.metadata (627 bytes)
Collecting mpmath==1.3.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 61))
Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
Collecting msgpack==1.0.8 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 62))
Using cached
msgpack-1.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(9.1 kB)
Collecting nltk==3.8.1 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 63))
Using cached nltk-3.8.1-py3-none-any.whl.metadata (2.8 kB)
Collecting notebook==7.2.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 64))
Using cached notebook-7.2.0-py3-none-any.whl.metadata (10 kB)
Collecting oauthlib==3.2.2 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 65))
Using cached oauthlib-3.2.2-py3-none-any.whl.metadata (7.5 kB)
Collecting opt-einsum==3.3.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 66))
Using cached opt_einsum-3.3.0-py3-none-any.whl.metadata (6.5 kB)
Collecting optax==0.2.2 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 67))
Using cached optax-0.2.2-py3-none-any.whl.metadata (8.1 kB)
Collecting optax-shampoo==0.0.6 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 68))
Using cached optax_shampoo-0.0.6-py3-none-any.whl.metadata (1.4 kB)
Collecting orbax-checkpoint==0.5.9 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 69))
Using cached orbax_checkpoint-0.5.9-py3-none-any.whl.metadata (1.7 kB)
Collecting paxml==1.4.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 70))
Using cached paxml-1.4.0-py3-none-any.whl.metadata (1.3 kB)
Collecting pfzy==0.3.4 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 71))
Using cached pfzy-0.3.4-py3-none-any.whl.metadata (4.9 kB)
Collecting pillow==10.3.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 72))
Using cached pillow-10.3.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata
(9.2 kB)
Collecting portalocker==2.8.2 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 73))
Using cached portalocker-2.8.2-py3-none-any.whl.metadata (8.5 kB)
Collecting praxis==1.4.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 74))
Using cached praxis-1.4.0-py3-none-any.whl.metadata (1.2 kB)
Collecting promise==2.3 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 75))
Using cached promise-2.3.tar.gz (19 kB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Collecting protobuf==3.19.6 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 76))
Using cached
protobuf-3.19.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
(787 bytes)
Collecting pyasn1==0.6.0 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 77))
Using cached pyasn1-0.6.0-py2.py3-none-any.whl.metadata (8.3 kB)
Collecting pyasn1-modules==0.4.0 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 78))
Using cached pyasn1_modules-0.4.0-py3-none-any.whl.metadata (3.4 kB)
Collecting pyglove==0.4.4 (from -r /tmp/condaenv._xkfsx8g.requirements.txt
(line 79))
Using cached pyglove-0.4.4-py3-none-any.whl.metadata (6.7 kB)
Collecting pyparsing==3.1.2 (from -r
/tmp/condaenv._xkfsx8g.requirements.txt (line 80))
Using cached pyparsing-3.1.2-py3-none-any.whl.metadata (5.1 kB)
Pip subprocess error:
ERROR: Ignored the following versions that require a different python
version: 1.8.0 Requires-Python >=3.11; 1.9.0 Requires-Python >=3.11; 1.9.1
Requires-Python >=3.11; 1.9.2 Requires-Python >=3.11
ERROR: Could not find a version that satisfies the requirement
python-graphviz>=0.20.1 (from versions: none)
ERROR: No matching distribution found for python-graphviz>=0.20.1
lhw828 ***@***.***> 于2024年6月17日周一 11:17写道：
… 1、我尝试过导出一个docker，失败了。
2、Ubuntu版本：
NoLSB modules are available. Distributor ID: Ubuntu Description: Ubuntu
24.04 LTS Release: 24.04 Codename: noble
3、conda --version conda 24.1.2
4、yml文件：
environment0.zip
<https://github.com/user-attachments/files/15861036/environment0.zip>
5、如果需我可以打包一份Ubuntu的虚拟机镜像文件。
—
Reply to this email directly, view it on GitHub
<#6 (comment)>, or
unsubscribe
<https://github.com/notifications/unsubscribe-auth/ALQSPNMGDMEFBVEH4YDLUD3ZHZIK7AVCNFSM6AAAAABJLMJK3GVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNZSGA4TONRZGI>
.
You are receiving this because you authored the thread.Message ID:
***@***.***>
|
|
把日志喂给ai看看有什么建议 |
|
|
我是在“conda”环境下运行这个项目的。 |
|
首先你要切换到到conda环境，在里面安装所需版本，再在里面运行demo |
|
感谢感谢！我把python3.10设置为默认版本，再安装你发的yml文件，现在不报错了，环境安装完成了。谢谢！我继续搞接下来的步骤。 |
|
WARNING:absl:No registered CheckpointArgs found for handler type: <class 'paxml.checkpoints.FlaxCheckpointHandler'> 请问这个错误提示是哪里出了问题？我的：orbax-checkpoint是0.5.9版本。 |
这段警告和错误信息来自于一个使用Pax和Orbax库的机器学习训练脚本。Pax是Google开发的一个深度学习库，而Orbax是一个用于机器学习实验的Python库，用于管理训练过程中的数据和模型。
|
|
感谢这位兄弟。回馈：是wsl的内存分配不够。最好搞成12g+8g。在"C:\Users\xxx.wslconfig" 输入： 然后重启wsl。 |
想问问你这个问题咋解决的呀，我一直解决不了 |
|
Pip subprocess error: failed 你好，请问这个问题怎么解决？我是在ubuntu22.04上运行的 |
请问可以提供一下你运行成功的环境文件吗？比如：ubuntu版本、python版本、anaconda版本、yml文件等，谢谢！
The text was updated successfully, but these errors were encountered: