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myjob.38277599.err
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CondaValueError: prefix already exists: /home/wu.p/.conda/envs/pytorch_env
==> WARNING: A newer version of conda exists. <==
current version: 4.5.4
latest version: 23.7.3
Please update conda by running
$ conda update -n base conda
setuptools-68.0.0 | 1.0 MB | | 0% setuptools-68.0.0 | 1.0 MB | 9 | 9% setuptools-68.0.0 | 1.0 MB | #8 | 18% setuptools-68.0.0 | 1.0 MB | #######9 | 79% setuptools-68.0.0 | 1.0 MB | ########4 | 84% setuptools-68.0.0 | 1.0 MB | ########7 | 88% setuptools-68.0.0 | 1.0 MB | #########1 | 92% setuptools-68.0.0 | 1.0 MB | #########7 | 98% setuptools-68.0.0 | 1.0 MB | ########## | 100%
importlib-metadata-6 | 37 KB | | 0% importlib-metadata-6 | 37 KB | ########## | 100%
yaml-0.2.5 | 87 KB | | 0% yaml-0.2.5 | 87 KB | ########## | 100%
mkl-2020.2 | 213.9 MB | | 0% mkl-2020.2 | 213.9 MB | 2 | 2% mkl-2020.2 | 213.9 MB | 5 | 6% mkl-2020.2 | 213.9 MB | 8 | 9% mkl-2020.2 | 213.9 MB | #4 | 14% mkl-2020.2 | 213.9 MB | #9 | 19% mkl-2020.2 | 213.9 MB | ##4 | 25% mkl-2020.2 | 213.9 MB | ##9 | 30% mkl-2020.2 | 213.9 MB | ###5 | 35% mkl-2020.2 | 213.9 MB | #### | 41% mkl-2020.2 | 213.9 MB | ####5 | 46% mkl-2020.2 | 213.9 MB | #####1 | 51% mkl-2020.2 | 213.9 MB | #####6 | 57% mkl-2020.2 | 213.9 MB | ######2 | 63% mkl-2020.2 | 213.9 MB | ######9 | 69% mkl-2020.2 | 213.9 MB | #######5 | 75% mkl-2020.2 | 213.9 MB | #######9 | 80% mkl-2020.2 | 213.9 MB | ########2 | 82% mkl-2020.2 | 213.9 MB | ########4 | 85% mkl-2020.2 | 213.9 MB | ########6 | 86% mkl-2020.2 | 213.9 MB | ########7 | 87% mkl-2020.2 | 213.9 MB | ########7 | 88% mkl-2020.2 | 213.9 MB | ########8 | 89% mkl-2020.2 | 213.9 MB | ########8 | 89% mkl-2020.2 | 213.9 MB | ########9 | 89% mkl-2020.2 | 213.9 MB | ########9 | 90% mkl-2020.2 | 213.9 MB | ########9 | 90% mkl-2020.2 | 213.9 MB | ########9 | 90% mkl-2020.2 | 213.9 MB | ######### | 90% mkl-2020.2 | 213.9 MB | ######### | 90% mkl-2020.2 | 213.9 MB | ######### | 90% mkl-2020.2 | 213.9 MB | ######### | 90% mkl-2020.2 | 213.9 MB | ######### | 90% mkl-2020.2 | 213.9 MB | ######### | 91% mkl-2020.2 | 213.9 MB | ######### | 91% mkl-2020.2 | 213.9 MB | ######### | 91% mkl-2020.2 | 213.9 MB | ######### | 91% mkl-2020.2 | 213.9 MB | ######### | 91% mkl-2020.2 | 213.9 MB | #########1 | 91% mkl-2020.2 | 213.9 MB | #########1 | 91% mkl-2020.2 | 213.9 MB | #########1 | 91% mkl-2020.2 | 213.9 MB | #########1 | 91% mkl-2020.2 | 213.9 MB | #########1 | 91% mkl-2020.2 | 213.9 MB | #########1 | 92% mkl-2020.2 | 213.9 MB | #########1 | 92% mkl-2020.2 | 213.9 MB | #########1 | 92% mkl-2020.2 | 213.9 MB | #########1 | 92% mkl-2020.2 | 213.9 MB | #########1 | 92% mkl-2020.2 | 213.9 MB | #########2 | 92% mkl-2020.2 | 213.9 MB | #########2 | 92% mkl-2020.2 | 213.9 MB | #########2 | 92% mkl-2020.2 | 213.9 MB | #########2 | 92% mkl-2020.2 | 213.9 MB | #########2 | 92% mkl-2020.2 | 213.9 MB | #########2 | 92% mkl-2020.2 | 213.9 MB | #########2 | 93% mkl-2020.2 | 213.9 MB | #########2 | 93% mkl-2020.2 | 213.9 MB | #########2 | 93% mkl-2020.2 | 213.9 MB | #########2 | 93% mkl-2020.2 | 213.9 MB | #########2 | 93% mkl-2020.2 | 213.9 MB | #########3 | 93% mkl-2020.2 | 213.9 MB | #########3 | 93% mkl-2020.2 | 213.9 MB | #########3 | 93% mkl-2020.2 | 213.9 MB | #########3 | 93% mkl-2020.2 | 213.9 MB | #########3 | 93% mkl-2020.2 | 213.9 MB | #########3 | 93% mkl-2020.2 | 213.9 MB | #########3 | 94% mkl-2020.2 | 213.9 MB | #########3 | 94% mkl-2020.2 | 213.9 MB | #########3 | 94% mkl-2020.2 | 213.9 MB | #########3 | 94% mkl-2020.2 | 213.9 MB | #########3 | 94% mkl-2020.2 | 213.9 MB | #########4 | 94% mkl-2020.2 | 213.9 MB | #########4 | 94% mkl-2020.2 | 213.9 MB | #########4 | 94% mkl-2020.2 | 213.9 MB | #########4 | 94% mkl-2020.2 | 213.9 MB | #########4 | 94% mkl-2020.2 | 213.9 MB | #########4 | 94% mkl-2020.2 | 213.9 MB | #########4 | 95% mkl-2020.2 | 213.9 MB | #########4 | 95% mkl-2020.2 | 213.9 MB | #########4 | 95% mkl-2020.2 | 213.9 MB | #########4 | 95% mkl-2020.2 | 213.9 MB | #########4 | 95% mkl-2020.2 | 213.9 MB | #########5 | 95% mkl-2020.2 | 213.9 MB | #########5 | 95% mkl-2020.2 | 213.9 MB | #########5 | 95% mkl-2020.2 | 213.9 MB | #########5 | 95% mkl-2020.2 | 213.9 MB | #########5 | 95% mkl-2020.2 | 213.9 MB | #########5 | 95% mkl-2020.2 | 213.9 MB | #########5 | 96% mkl-2020.2 | 213.9 MB | #########5 | 96% mkl-2020.2 | 213.9 MB | #########5 | 96% mkl-2020.2 | 213.9 MB | #########5 | 96% mkl-2020.2 | 213.9 MB | #########5 | 96% mkl-2020.2 | 213.9 MB | #########6 | 96% mkl-2020.2 | 213.9 MB | #########6 | 96% mkl-2020.2 | 213.9 MB | #########6 | 96% mkl-2020.2 | 213.9 MB | #########6 | 96% mkl-2020.2 | 213.9 MB | #########6 | 96% mkl-2020.2 | 213.9 MB | #########6 | 97% mkl-2020.2 | 213.9 MB | #########6 | 97% mkl-2020.2 | 213.9 MB | #########6 | 97% mkl-2020.2 | 213.9 MB | #########6 | 97% mkl-2020.2 | 213.9 MB | #########6 | 97% mkl-2020.2 | 213.9 MB | #########7 | 97% mkl-2020.2 | 213.9 MB | #########7 | 97% mkl-2020.2 | 213.9 MB | #########7 | 97% mkl-2020.2 | 213.9 MB | #########7 | 97% mkl-2020.2 | 213.9 MB | #########7 | 97% mkl-2020.2 | 213.9 MB | #########7 | 97% mkl-2020.2 | 213.9 MB | #########7 | 98% mkl-2020.2 | 213.9 MB | #########7 | 98% mkl-2020.2 | 213.9 MB | #########7 | 98% mkl-2020.2 | 213.9 MB | #########7 | 98% mkl-2020.2 | 213.9 MB | #########7 | 98% mkl-2020.2 | 213.9 MB | #########8 | 98% mkl-2020.2 | 213.9 MB | #########8 | 98% mkl-2020.2 | 213.9 MB | #########8 | 98% mkl-2020.2 | 213.9 MB | #########8 | 98% mkl-2020.2 | 213.9 MB | #########8 | 98% mkl-2020.2 | 213.9 MB | #########8 | 99% mkl-2020.2 | 213.9 MB | #########8 | 99% mkl-2020.2 | 213.9 MB | #########8 | 99% mkl-2020.2 | 213.9 MB | #########8 | 99% mkl-2020.2 | 213.9 MB | #########8 | 99% mkl-2020.2 | 213.9 MB | #########9 | 99% mkl-2020.2 | 213.9 MB | #########9 | 99% mkl-2020.2 | 213.9 MB | #########9 | 99% mkl-2020.2 | 213.9 MB | #########9 | 99% mkl-2020.2 | 213.9 MB | #########9 | 99% mkl-2020.2 | 213.9 MB | #########9 | 99% mkl-2020.2 | 213.9 MB | #########9 | 100% mkl-2020.2 | 213.9 MB | #########9 | 100% mkl-2020.2 | 213.9 MB | #########9 | 100% mkl-2020.2 | 213.9 MB | #########9 | 100% mkl-2020.2 | 213.9 MB | #########9 | 100% mkl-2020.2 | 213.9 MB | ########## | 100%
mkl_fft-1.3.0 | 195 KB | | 0% mkl_fft-1.3.0 | 195 KB | #########3 | 93% mkl_fft-1.3.0 | 195 KB | ########## | 100%
numpy-1.19.2 | 21 KB | | 0% numpy-1.19.2 | 21 KB | ########## | 100%
torchaudio-2.0.2 | 7.3 MB | | 0% torchaudio-2.0.2 | 7.3 MB | | 0% torchaudio-2.0.2 | 7.3 MB | #######5 | 75% torchaudio-2.0.2 | 7.3 MB | #########2 | 93% torchaudio-2.0.2 | 7.3 MB | ########## | 100%
gmpy2-2.1.2 | 213 KB | | 0% gmpy2-2.1.2 | 213 KB | #########2 | 93% gmpy2-2.1.2 | 213 KB | ########## | 100%
requests-2.31.0 | 92 KB | | 0% requests-2.31.0 | 92 KB | ########## | 100%
torchtriton-2.0.0 | 62.6 MB | | 0% torchtriton-2.0.0 | 62.6 MB | 5 | 6% torchtriton-2.0.0 | 62.6 MB | #9 | 20% torchtriton-2.0.0 | 62.6 MB | ###1 | 32% torchtriton-2.0.0 | 62.6 MB | ####6 | 46% torchtriton-2.0.0 | 62.6 MB | ###### | 60% torchtriton-2.0.0 | 62.6 MB | #######5 | 75% torchtriton-2.0.0 | 62.6 MB | ########4 | 84% torchtriton-2.0.0 | 62.6 MB | ######### | 91% torchtriton-2.0.0 | 62.6 MB | #########5 | 95% torchtriton-2.0.0 | 62.6 MB | #########8 | 99% torchtriton-2.0.0 | 62.6 MB | ########## | 100%
pysocks-1.7.1 | 31 KB | | 0% pysocks-1.7.1 | 31 KB | ########## | 100%
locket-1.0.0 | 11 KB | | 0% locket-1.0.0 | 11 KB | ########## | 100%
zipp-3.11.0 | 18 KB | | 0% zipp-3.11.0 | 18 KB | ########## | 100%
certifi-2023.7.22 | 155 KB | | 0% certifi-2023.7.22 | 155 KB | ########## | 100%
typing_extensions-4. | 56 KB | | 0% typing_extensions-4. | 56 KB | ########## | 100%
python-3.8.13 | 22.7 MB | | 0% python-3.8.13 | 22.7 MB | #4 | 14% python-3.8.13 | 22.7 MB | ####7 | 48% python-3.8.13 | 22.7 MB | #######5 | 75% python-3.8.13 | 22.7 MB | ########9 | 89% python-3.8.13 | 22.7 MB | #########9 | 100% python-3.8.13 | 22.7 MB | ########## | 100%
pywavelets-1.3.0 | 4.4 MB | | 0% pywavelets-1.3.0 | 4.4 MB | | 0% pywavelets-1.3.0 | 4.4 MB | #######6 | 76% pywavelets-1.3.0 | 4.4 MB | #########8 | 99% pywavelets-1.3.0 | 4.4 MB | ########## | 100%
mkl_random-1.1.1 | 394 KB | | 0% mkl_random-1.1.1 | 394 KB | #########1 | 92% mkl_random-1.1.1 | 394 KB | ########## | 100%
fsspec-2023.4.0 | 213 KB | | 0% fsspec-2023.4.0 | 213 KB | ########## | 100%
mpmath-1.3.0 | 972 KB | | 0% mpmath-1.3.0 | 972 KB | #######9 | 80% mpmath-1.3.0 | 972 KB | ########## | 100%
fastcache-1.1.0 | 37 KB | | 0% fastcache-1.1.0 | 37 KB | ########## | 100%
pillow-9.0.1 | 716 KB | | 0% pillow-9.0.1 | 716 KB | ########3 | 83% pillow-9.0.1 | 716 KB | ########## | 100%
cytoolz-0.11.0 | 390 KB | | 0% cytoolz-0.11.0 | 390 KB | #########2 | 93% cytoolz-0.11.0 | 390 KB | ########## | 100%
tifffile-2020.10.1 | 264 KB | | 0% tifffile-2020.10.1 | 264 KB | #########6 | 97% tifffile-2020.10.1 | 264 KB | ########## | 100%
cffi-1.15.0 | 226 KB | | 0% cffi-1.15.0 | 226 KB | ########## | 100%
pytorch-mutex-1.0 | 3 KB | | 0% pytorch-mutex-1.0 | 3 KB | ########## | 100%
pip-23.2.1 | 2.5 MB | | 0% pip-23.2.1 | 2.5 MB | #######5 | 76% pip-23.2.1 | 2.5 MB | #########8 | 98% pip-23.2.1 | 2.5 MB | ########## | 100%
mkl-service-2.3.0 | 68 KB | | 0% mkl-service-2.3.0 | 68 KB | ########## | 100%
networkx-3.1 | 2.8 MB | | 0% networkx-3.1 | 2.8 MB | ###9 | 39% networkx-3.1 | 2.8 MB | #######7 | 77% networkx-3.1 | 2.8 MB | ########5 | 86% networkx-3.1 | 2.8 MB | #########2 | 92% networkx-3.1 | 2.8 MB | #########6 | 97% networkx-3.1 | 2.8 MB | ########## | 100%
urllib3-1.26.16 | 182 KB | | 0% urllib3-1.26.16 | 182 KB | ########## | 100%
scipy-1.6.2 | 20.1 MB | | 0% scipy-1.6.2 | 20.1 MB | 3 | 4% scipy-1.6.2 | 20.1 MB | ####1 | 41% scipy-1.6.2 | 20.1 MB | #######5 | 75% scipy-1.6.2 | 20.1 MB | ######### | 90% scipy-1.6.2 | 20.1 MB | ######### | 91% scipy-1.6.2 | 20.1 MB | #########1 | 91% scipy-1.6.2 | 20.1 MB | #########2 | 92% scipy-1.6.2 | 20.1 MB | #########2 | 93% scipy-1.6.2 | 20.1 MB | #########3 | 94% scipy-1.6.2 | 20.1 MB | #########4 | 94% scipy-1.6.2 | 20.1 MB | #########5 | 95% scipy-1.6.2 | 20.1 MB | #########5 | 96% scipy-1.6.2 | 20.1 MB | #########6 | 97% scipy-1.6.2 | 20.1 MB | #########7 | 97% scipy-1.6.2 | 20.1 MB | #########8 | 98% scipy-1.6.2 | 20.1 MB | #########8 | 99% scipy-1.6.2 | 20.1 MB | #########9 | 100% scipy-1.6.2 | 20.1 MB | ########## | 100%
brotlipy-0.7.0 | 349 KB | | 0% brotlipy-0.7.0 | 349 KB | #3 | 14% brotlipy-0.7.0 | 349 KB | ########## | 100%
libgomp-11.2.0 | 560 KB | | 0% libgomp-11.2.0 | 560 KB | ########7 | 88% libgomp-11.2.0 | 560 KB | ########## | 100%
idna-3.4 | 109 KB | | 0% idna-3.4 | 109 KB | ########## | 100%
cloudpickle-2.2.1 | 40 KB | | 0% cloudpickle-2.2.1 | 40 KB | ########## | 100%
partd-1.2.0 | 18 KB | | 0% partd-1.2.0 | 18 KB | ########## | 100%
torchvision-0.15.2 | 33.1 MB | | 0% torchvision-0.15.2 | 33.1 MB | 3 | 3% torchvision-0.15.2 | 33.1 MB | ##4 | 25% torchvision-0.15.2 | 33.1 MB | #####3 | 53% torchvision-0.15.2 | 33.1 MB | #######5 | 75% torchvision-0.15.2 | 33.1 MB | ########7 | 88% torchvision-0.15.2 | 33.1 MB | #########7 | 97% torchvision-0.15.2 | 33.1 MB | ########## | 100%
sympy-1.5.1 | 10.3 MB | | 0% sympy-1.5.1 | 10.3 MB | ##4 | 24% sympy-1.5.1 | 10.3 MB | #######5 | 75% sympy-1.5.1 | 10.3 MB | #########3 | 93% sympy-1.5.1 | 10.3 MB | #########3 | 93% sympy-1.5.1 | 10.3 MB | #########3 | 94% sympy-1.5.1 | 10.3 MB | #########4 | 94% sympy-1.5.1 | 10.3 MB | #########4 | 95% sympy-1.5.1 | 10.3 MB | #########5 | 95% sympy-1.5.1 | 10.3 MB | #########5 | 96% sympy-1.5.1 | 10.3 MB | #########5 | 96% sympy-1.5.1 | 10.3 MB | #########6 | 96% sympy-1.5.1 | 10.3 MB | #########6 | 97% sympy-1.5.1 | 10.3 MB | #########7 | 97% sympy-1.5.1 | 10.3 MB | #########7 | 97% sympy-1.5.1 | 10.3 MB | #########7 | 98% sympy-1.5.1 | 10.3 MB | #########8 | 98% sympy-1.5.1 | 10.3 MB | #########8 | 99% sympy-1.5.1 | 10.3 MB | #########9 | 99% sympy-1.5.1 | 10.3 MB | ########## | 100%
markupsafe-2.1.1 | 22 KB | | 0% markupsafe-2.1.1 | 22 KB | ########## | 100%
imageio-2.31.1 | 497 KB | | 0% imageio-2.31.1 | 497 KB | ########8 | 89% imageio-2.31.1 | 497 KB | #########8 | 99% imageio-2.31.1 | 497 KB | ########## | 100%
filelock-3.9.0 | 17 KB | | 0% filelock-3.9.0 | 17 KB | ########## | 100%
wheel-0.38.4 | 58 KB | | 0% wheel-0.38.4 | 58 KB | ########## | 100%
cryptography-41.0.2 | 2.0 MB | | 0% cryptography-41.0.2 | 2.0 MB | #######6 | 77% cryptography-41.0.2 | 2.0 MB | #########9 | 99% cryptography-41.0.2 | 2.0 MB | ########## | 100%
numpy-base-1.19.2 | 5.3 MB | | 0% numpy-base-1.19.2 | 5.3 MB | ###9 | 40% numpy-base-1.19.2 | 5.3 MB | #######6 | 76% numpy-base-1.19.2 | 5.3 MB | ########5 | 85% numpy-base-1.19.2 | 5.3 MB | #########1 | 92% numpy-base-1.19.2 | 5.3 MB | #########6 | 97% numpy-base-1.19.2 | 5.3 MB | ########## | 100%
packaging-23.0 | 64 KB | | 0% packaging-23.0 | 64 KB | ########## | 100%
toolz-0.12.0 | 99 KB | | 0% toolz-0.12.0 | 99 KB | ########## | 100%
pyopenssl-23.2.0 | 92 KB | | 0% pyopenssl-23.2.0 | 92 KB | ########## | 100%
pytorch-2.0.1 | 86.0 MB | | 0% pytorch-2.0.1 | 86.0 MB | | 0% pytorch-2.0.1 | 86.0 MB | 4 | 5% pytorch-2.0.1 | 86.0 MB | #1 | 11% pytorch-2.0.1 | 86.0 MB | ##2 | 22% pytorch-2.0.1 | 86.0 MB | ###4 | 34% pytorch-2.0.1 | 86.0 MB | ####7 | 47% pytorch-2.0.1 | 86.0 MB | ###### | 60% pytorch-2.0.1 | 86.0 MB | #######1 | 71% pytorch-2.0.1 | 86.0 MB | ########1 | 82% pytorch-2.0.1 | 86.0 MB | ########9 | 89% pytorch-2.0.1 | 86.0 MB | #########4 | 95% pytorch-2.0.1 | 86.0 MB | #########8 | 98% pytorch-2.0.1 | 86.0 MB | #########8 | 98% pytorch-2.0.1 | 86.0 MB | #########8 | 98% pytorch-2.0.1 | 86.0 MB | #########8 | 98% pytorch-2.0.1 | 86.0 MB | #########8 | 98% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########8 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 99% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | #########9 | 100% pytorch-2.0.1 | 86.0 MB | ########## | 100%
intel-openmp-2020.2 | 947 KB | | 0% intel-openmp-2020.2 | 947 KB | ########1 | 81% intel-openmp-2020.2 | 947 KB | #########8 | 98% intel-openmp-2020.2 | 947 KB | ########## | 100%
scikit-image-0.19.2 | 11.8 MB | | 0% scikit-image-0.19.2 | 11.8 MB | ##7 | 28% scikit-image-0.19.2 | 11.8 MB | #######5 | 75% scikit-image-0.19.2 | 11.8 MB | #########2 | 92% scikit-image-0.19.2 | 11.8 MB | ########## | 100%
_openmp_mutex-5.1 | 20 KB | | 0% _openmp_mutex-5.1 | 20 KB | ########## | 100%
pyyaml-6.0 | 180 KB | | 0% pyyaml-6.0 | 180 KB | ########## | 100%
jinja2-3.1.2 | 207 KB | | 0% jinja2-3.1.2 | 207 KB | ########## | 100%
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sh: -P: command not found
Traceback (most recent call last):
File "new_test.py", line 95, in <module>
generate_AmazonReview(client_group=client_group, method='iid', alpha=10)
File "/scratch/wu.p/FedMot/Fed-MOT/fedbase/utils/get_amazon_review.py", line 67, in generate_AmazonReview
X, y = load_amazon(root)
File "/scratch/wu.p/FedMot/Fed-MOT/fedbase/utils/get_amazon_review.py", line 14, in load_amazon
amazon = np.load(path.join(base_path, "amazon.npz"))
File "/home/wu.p/.conda/envs/pytorch_env/lib/python3.8/site-packages/numpy/lib/npyio.py", line 407, in load
fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: 'data/AmazonReview/rawdata/amazon.npz'
--2023-08-24 21:59:51-- https://drive.google.com/u/0/uc?id=1QbXFENNyqor1IlCpRRFtOluI2_hMEd1W
Connecting to 10.99.0.130:3128... connected.
Proxy request sent, awaiting response... 302 Found
Location: https://drive.google.com/uc?id=1QbXFENNyqor1IlCpRRFtOluI2_hMEd1W [following]
--2023-08-24 21:59:51-- https://drive.google.com/uc?id=1QbXFENNyqor1IlCpRRFtOluI2_hMEd1W
Connecting to 10.99.0.130:3128... connected.
Proxy request sent, awaiting response...