torch-mlir/projects/pt1
zjgarvey 72349f7522
[TorchToLinalg] Adds Quantization Support for ConvTranspose (#3240)
I spent a little while debugging numerics issues with some tests similar
to the ones in quantized_models.py, only to find that pytorch's
quantized conv transpose is catastrophically inaccurate. I'll upstream
the issue and only leave the tests here which are of the form quantize
-> dequantize -> op.
2024-04-30 09:23:09 -07:00
..
e2e_testing [TorchToLinalg] Adds Quantization Support for ConvTranspose (#3240) 2024-04-30 09:23:09 -07:00
examples [NFC] Update black version (#3256) 2024-04-29 11:06:01 +08:00
python [TorchToLinalg] Adds Quantization Support for ConvTranspose (#3240) 2024-04-30 09:23:09 -07:00
test [NFC] Update black version (#3256) 2024-04-29 11:06:01 +08:00
tools Re-organize project structure to separate PyTorch dependencies from core project. (#2542) 2023-11-02 19:45:55 -07:00
CMakeLists.txt Re-organize project structure to separate PyTorch dependencies from core project. (#2542) 2023-11-02 19:45:55 -07:00