torch-mlir/lib
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
..
CAPI Clang format refresh (#2812) 2024-01-29 12:59:33 -05:00
Conversion [TorchToLinalg] Adds Quantization Support for ConvTranspose (#3240) 2024-04-30 09:23:09 -07:00
Dialect [Stablehlo] Improve the lowering of pool op in stablehlo (#3259) 2024-05-01 00:06:13 +08:00
RefBackend Fix deprecated uses of cast/dyn_cast/dyn_cast_or_null/isa (#3243) 2024-04-27 14:00:56 -07:00
CMakeLists.txt [Stablehlo] add stablehlo-aggressive-simplification in e2e test (#3109) 2024-04-07 10:48:11 +08:00
InitAll.cpp [Stablehlo] add stablehlo-aggressive-simplification in e2e test (#3109) 2024-04-07 10:48:11 +08:00