torch-mlir/projects
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
..
jit_ir_common Additional information in error message (#2783) 2024-01-30 08:28:08 -08:00
ltc [NFC reformat] Run pre-commit on all files and format misc. 2024-04-27 14:08:09 -07:00
onnx_c_importer build: find Protobuf using config mode search (#2900) 2024-02-12 17:31:41 -06:00
pt1 [TorchToLinalg] Adds Quantization Support for ConvTranspose (#3240) 2024-04-30 09:23:09 -07:00
CMakeLists.txt [NFC reformat] Run pre-commit on all files and format misc. 2024-04-27 14:08:09 -07:00