conv2d with int8 on CUDA: GET was unable to find an engine to execute this computation #152992
Labels
module: convolution
Problems related to convolutions (THNN, THCUNN, CuDNN)
module: cuda
Related to torch.cuda, and CUDA support in general
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
π Describe the bug
The following script works fine if I switch to CPU, or change the tensor dtypes to float32. Otherwise, see the error below.
Traceback:
Versions
PyTorch version: 2.7.0+cu128
Is debug build: False
CUDA used to build PyTorch: 12.8
ROCM used to build PyTorch: N/A
OS: Microsoft Windows 10 Home (10.0.19045 64-bit)
GCC version: Could not collect
Clang version: Could not collect
CMake version: Could not collect
Libc version: N/A
Python version: 3.13.3 (tags/v3.13.3:6280bb5, Apr 8 2025, 14:47:33) [MSC v.1943 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.19045-SP0
Is CUDA available: True
CUDA runtime version: 12.8.93
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1060 6GB
Nvidia driver version: 572.83
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Name: Intel(R) Core(TM) i5-4460 CPU @ 3.20GHz
Manufacturer: GenuineIntel
Family: 1
Architecture: 9
ProcessorType: 3
DeviceID: CPU0
CurrentClockSpeed: 3201
MaxClockSpeed: 3201
L2CacheSize: 1024
L2CacheSpeed: None
Revision: 15363
Versions of relevant libraries:
[pip3] numpy==2.1.2
[pip3] torch==2.7.0+cu128
[pip3] torchaudio==2.7.0+cu128
[pip3] torchvision==0.22.0+cu128
[conda] Could not collect
cc @ptrblck @msaroufim @eqy @jerryzh168
The text was updated successfully, but these errors were encountered: