Hash mismatch for 0.24.1+cu128 whl #9268
Description
🐛 Describe the bug
When downloading torchvision-0.24.1+cu128-cp311-cp311-win_amd64.whl, I can manually compute the hash to be
6d836745bd3130ef8f3569c9f0d9d70103b5e2e9fa058310bcac5f63bcf2d043
➜ Downloads shasum -a 256 torchvision-0.24.1+cu128-cp311-cp311-win_amd64.whl
6d836745bd3130ef8f3569c9f0d9d70103b5e2e9fa058310bcac5f63bcf2d043 torchvision-0.24.1+cu128-cp311-cp311-win_amd64.whl
However, the declared hash seem to be incorrect:
1b44f67cbd8f36e2a58bfaa3176d35b37df55604adf5929e89006e531f849faa is referenced as the hash when it should've been 6d836745bd3130ef8f3569c9f0d9d70103b5e2e9fa058310bcac5f63bcf2d043
Versions
Collecting environment information...
PyTorch version: 2.9.0+cu128
Is debug build: False
CUDA used to build PyTorch: 12.8
ROCM used to build PyTorch: N/A
OS: Microsoft Windows 11 Enterprise (10.0.26100 64-bit)
GCC version: Could not collect
Clang version: Could not collect
CMake version: version 3.23.3
Libc version: N/A
Python version: 3.11.11 (main, Mar 17 2025, 21:01:29) [MSC v.1943 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.26100-SP0
Is CUDA available: True
CUDA runtime version: 12.8.93
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3060
Nvidia driver version: 572.61
cuDNN version: Could not collect
Is XPU available: False
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Name: AMD Ryzen 9 5900X 12-Core Processor
Manufacturer: AuthenticAMD
Family: 107
Architecture: 9
ProcessorType: 3
DeviceID: CPU0
CurrentClockSpeed: 3701
MaxClockSpeed: 3701
L2CacheSize: 6144
L2CacheSpeed: None
Revision: 8450
Versions of relevant libraries:
[pip3] Could not collect
[conda] Could not collect