pytorch
Failed to install vision based on python 3.13t(free-threaded) on Windows OS
🐛 Describe the bug
Reproduce steps: [Windows 11 OS] conda create -n nogil2 --override-channels -c conda-forge python-freethreading conda activate nogil2 pip install torch torchvision torchaudio --pre --index-url https://download.pytorch.org/whl/nightly/cu128
ERROR: Cannot install torchvision==0.22.0.dev20250226+cu128, torchvision==0.22.0.dev20250227+cu128, torchvision==0.22.0.dev20250228+cu128, torchvision==0.22.0.dev20250301+cu128, torchvision==0.22.0.dev20250302+cu128, torchvision==0.22.0.dev20250303+cu128, torchvision==0.22.0.dev20250304+cu128, torchvision==0.22.0.dev20250306+cu128, torchvision==0.22.0.dev20250307+cu128, torchvision==0.22.0.dev20250308+cu128, torchvision==0.22.0.dev20250309+cu128, torchvision==0.22.0.dev20250310+cu128, torchvision==0.22.0.dev20250311+cu128 and torchvision==0.22.0.dev20250312+cu128 because these package versions have conflicting dependencies.
The conflict is caused by: torchvision 0.22.0.dev20250312+cu128 depends on numpy torchvision 0.22.0.dev20250311+cu128 depends on numpy torchvision 0.22.0.dev20250310+cu128 depends on numpy torchvision 0.22.0.dev20250309+cu128 depends on numpy torchvision 0.22.0.dev20250308+cu128 depends on numpy torchvision 0.22.0.dev20250307+cu128 depends on numpy torchvision 0.22.0.dev20250306+cu128 depends on numpy torchvision 0.22.0.dev20250304+cu128 depends on numpy torchvision 0.22.0.dev20250303+cu128 depends on numpy torchvision 0.22.0.dev20250302+cu128 depends on numpy torchvision 0.22.0.dev20250301+cu128 depends on numpy torchvision 0.22.0.dev20250228+cu128 depends on numpy torchvision 0.22.0.dev20250227+cu128 depends on numpy torchvision 0.22.0.dev20250226+cu128 depends on numpy
To fix this you could try to:
loosen the range of package versions you've specified remove package versions to allow pip to attempt to solve the dependency conflict ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
Versions
Versions Collecting environment information... PyTorch version: N/A Is debug build: N/A CUDA used to build PyTorch: N/A ROCM used to build PyTorch: N/A
OS: Microsoft Windows Server 2022 Datacenter Evaluation (10.0.20348 64-bit) GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: N/A
Python version: 3.13.2 experimental free-threading build | packaged by conda-forge | (main, Feb 17 2025, 13:52:36) [MSC v.1942 64 bit (AMD64)] (64-bit runtime) Python platform: Windows-2022Server-10.0.20348-SP0 Is CUDA available: N/A CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: N/A GPU models and configuration: Could not collect Nvidia driver version: Could not collect cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: N/A
CPU: Name: Intel(R) Xeon(R) Gold 6240 CPU @ 2.60GHz Manufacturer: GenuineIntel Family: 179 Architecture: 9 ProcessorType: 3 DeviceID: CPU0 CurrentClockSpeed: 2594 MaxClockSpeed: 2594 L2CacheSize: 18432 L2CacheSpeed: None Revision: 21767 Name: Intel(R) Xeon(R) Gold 6240 CPU @ 2.60GHz Manufacturer: GenuineIntel Family: 179 Architecture: 9 ProcessorType: 3 DeviceID: CPU1 CurrentClockSpeed: 2594 MaxClockSpeed: 2594 L2CacheSize: 18432 L2CacheSpeed: None Revision: 21767
Versions of relevant libraries: [pip3] No relevant packages [conda] No relevant packages
