Hi,
When I run command !. ./scripts/setup_colab.sh on current google colab. Some packages cannot be installed with following log
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. ipython 7.34.0 requires jedi>=0.16, which is not installed. google-colab 1.0.0 requires requests==2.32.3, but you have requests 2.28.2 which is incompatible. pymc 5.25.1 requires rich>=13.7.1, but you have rich 13.4.2 which is incompatible. dataproc-spark-connect 0.8.3 requires tqdm>=4.67, but you have tqdm 4.65.2 which is incompatible. opencv-contrib-python 4.12.0.88 requires numpy<2.3.0,>=2; python_version >= "3.9", but you have numpy 1.26.4 which is incompatible. pytensor 2.31.7 requires filelock>=3.15, but you have filelock 3.14.0 which is incompatible. sphinx 8.2.3 requires requests>=2.30.0, but you have requests 2.28.2 which is incompatible. yfinance 0.2.65 requires requests>=2.31, but you have requests 2.28.2 which is incompatible. datasets 4.0.0 requires requests>=2.32.2, but you have requests 2.28.2 which is incompatible. datasets 4.0.0 requires tqdm>=4.66.3, but you have tqdm 4.65.2 which is incompatible. thinc 8.3.6 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.26.4 which is incompatible.
When running train command, it automatically disable Pytorch.
Disabling PyTorch because PyTorch >= 2.1 is required but found 2.0.0
Hi,
When I run command
!. ./scripts/setup_colab.shon current google colab. Some packages cannot be installed with following logERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. ipython 7.34.0 requires jedi>=0.16, which is not installed. google-colab 1.0.0 requires requests==2.32.3, but you have requests 2.28.2 which is incompatible. pymc 5.25.1 requires rich>=13.7.1, but you have rich 13.4.2 which is incompatible. dataproc-spark-connect 0.8.3 requires tqdm>=4.67, but you have tqdm 4.65.2 which is incompatible. opencv-contrib-python 4.12.0.88 requires numpy<2.3.0,>=2; python_version >= "3.9", but you have numpy 1.26.4 which is incompatible. pytensor 2.31.7 requires filelock>=3.15, but you have filelock 3.14.0 which is incompatible. sphinx 8.2.3 requires requests>=2.30.0, but you have requests 2.28.2 which is incompatible. yfinance 0.2.65 requires requests>=2.31, but you have requests 2.28.2 which is incompatible. datasets 4.0.0 requires requests>=2.32.2, but you have requests 2.28.2 which is incompatible. datasets 4.0.0 requires tqdm>=4.66.3, but you have tqdm 4.65.2 which is incompatible. thinc 8.3.6 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.26.4 which is incompatible.When running train command, it automatically disable Pytorch.
Disabling PyTorch because PyTorch >= 2.1 is required but found 2.0.0