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when you run this command pip install -r requirements.txt , this is error( on my server ) on below:
Usage: pip [options]
ERROR: Invalid requirement: flash-attn --no-build-isolation
pip: error: no such option: --no-build-isolation
comment the flash-attn --no-build-isolation in requirements.txt , and continue running pip install -r requirements.txt.
error occurs:
ERROR: Could not find a version that satisfies the requirement xformers==0.0.22.post7+cu118 (from versions: 0.0.1, 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, 0.0.9, 0.0.10, 0.0.11, 0.0.12, 0.0.13, 0.0.16rc424, 0.0.16rc425, 0.0.16, 0.0.17rc481, 0.0.17rc482, 0.0.17, 0.0.18, 0.0.19, 0.0.20, 0.0.21, 0.0.22, 0.0.22.post7, 0.0.23, 0.0.23.post1, 0.0.24, 0.0.25, 0.0.25.post1, 0.0.26.post1, 0.0.27, 0.0.27.post1, 0.0.27.post2, 0.0.28, 0.0.28.post1, 0.0.28.post2, 0.0.28.post3, 0.0.29, 0.0.29.post1, 0.0.29.post2, 0.0.29.post3, 0.0.30.dev989, 0.0.30.dev1002)
Could not fetch URL https://pypi.ngc.nvidia.com/pip/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.ngc.nvidia.com', port=443): Max retries exceeded with url: /pip/ (Caused by SSLError(SSLEOFError(8, '[SSL: UNEXPECTED_EOF_WHILE_READING] EOF occurred in violation of protocol (_ssl.c:1007)'))) - skipping
ERROR: No matching distribution found for xformers==0.0.22.post7+cu118
if you have problems to connect the link to download xformer, you can comment it in requirements.txt and download it(0.0.22.post7+cu118_cp310) via https://download.pytorch.org/whl/xformers/. and pip instll xformer_xxx.whl offline.
after installing xformer ,rerun the pip install -r requirements.txt , and take much time on torchsparse installation.
So start from below command to download some neccessary libs and package on conda env.
when you run this command
pip install -r requirements.txt
, this is error( on my server ) on below:comment the
flash-attn --no-build-isolation
in requirements.txt , and continue runningpip install -r requirements.txt
.error occurs:
if you have problems to connect the link to download
xformer
, you can comment it in requirements.txt and download it(0.0.22.post7+cu118_cp310) via https://download.pytorch.org/whl/xformers/. andpip instll xformer_xxx.whl
offline.after installing xformer ,rerun the
pip install -r requirements.txt
, and take much time on torchsparse installation.and error occurs when git clone the
https://github.com/mit-han-lab/torchsparse.git
andpython setup.py install
:solution is https://github.com/facebookresearch/SparseConvNet/issues/96 , the detailed step :
conda install google-sparsehash -c bioconda
and add the pathexport PATH=/path/to/anaconda3/envs/yourenv/include:$PATH
solved it and install other required package and module in requirments.txt
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