torch-npu-venv-setup-cpu-base

Resolve torch-npu venv dependency conflicts by probing the installed torch-npu version, pinning PyTorch to the +cpu build, and installing the matching CPU-variant torchvision to ensure precise version alignment.

torch-npu version mismatches occur when base PyTorch and torchvision builds are misaligned. Pinning PyTorch to the +cpu build and installing the CPU-variant torchvision resolves these dependency conflicts.

Create a reproducible CPU-based PyTorch stack by executing a deterministic sequence: probe the system torch-npu version, pin the +cpu PyTorch build, install matching torch-npu, and install the CPU-variant torchvision.

Verify torch-npu availability after installation by running torch.npu.is_available, which confirms the CPU-base PyTorch and torchvision stack is correctly aligned with the installed torch-npu version.

torch-npu requires precise version alignment and often conflicts with standard builds. You need to pin PyTorch to the +cpu build and install the CPU-variant torchvision to ensure compatibility and availability.

If torch.npu.is_available returns false, the environment likely has version mismatches. Use validation and recovery guidance to re-probe the torch-npu version and reinstall the compatible +cpu PyTorch and CPU-variant torchvision.