conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge error in my macos Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve. PackagesNotFoundError: The following packages are not available from current channels: - cudatoolkit=11.1 Current channels: - https://conda.anaconda.org/pytorch/osx-arm64 - https://conda.anaconda.org/pytorch/noarch - https://conda.anaconda.org/conda-forge/osx-arm64 - https://conda.anaconda.org/conda-forge/noarch - https://repo.anaconda.com/pkgs/main/osx-arm64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/osx-arm64 - https://repo.anaconda.com/pkgs/r/noarch

The error you're encountering is due to the fact that CUDA is not supported on macOS, as it is a parallel computing platform and application programming interface model created by Nvidia for their GPUs. Since macOS does not run on Nvidia GPUs, CUDA toolkits are not available for this operating system.

On macOS, especially on Apple silicon (such as the M1 or M2 chips), you would typically install the CPU-only version of PyTorch, or if you're using an Intel-based Mac, you could potentially leverage the AMD GPU for some operations through other means (though not CUDA).

To install the CPU-only version of PyTorch on your macOS, you can use the following command:

conda install pytorch torchvision torchaudio -c pytorch

This command will install the latest CPU-only PyTorch along with torchvision and torchaudio from the official PyTorch channel.

If you specifically need CUDA for GPU-accelerated training or inference and you have access to a machine with a compatible Nvidia GPU, you would need to use a Linux or Windows operating system with supported Nvidia drivers and CUDA toolkit installed.

For Mac users with Intel CPUs and AMD GPUs, there is also the ROCm platform, but it is not officially supported by PyTorch and would require a custom build or third-party solutions to leverage AMD GPU acceleration.