4 Commits (60bf6c25af8a34f8d9356636d90a18c24467c6ec)

Author	SHA1	Message	Date
Rob Suderman	dc37616d67	[torch][quant] Support quantize and dequantize for torch (#2731) ... Handle both `torch.dequantize` and `torch.quantize_per_tensor` including the op based quantization parameter tracking. This includes adding `qint32` to torch types as it was missing during the initial type inclusion. For testing we only have `torch.int8` and `torch.float` types on function boundaries as the `qint8` types require passing the scale and zero point quantization information which is not supported yet.	2024-01-12 19:11:14 -08:00
Frederik Harwath	0860c41ee2	Implement aten.reflection_pad2d lowering to linalg	2024-01-10 21:32:22 -10:00
Xida Ren (Cedar)	6660a26594	lower torch.aten.isinf to linalg (#2638) ... Co-authored-by: Rob Suderman <rob.suderman@gmail.com>	2023-12-28 17:20:32 -08:00
Stella Laurenzo	5eae0adff1	Breakup python pytorch deps (#2582) ... This lifts the core of the jit_ir_importer and ltc out of the pt1 project, making them peers to it. As a side-effect of this layering, now the "MLIR bits" (dialects, etc) are not commingled with the various parts of the pt1 project, allowing pt1 and ltc to overlay cleanly onto a more fundamental "just MLIR" Python core. Prior to this, the Python namespace was polluted to the point that this could not happen. That "just MLIR" Python core will be introduced in a followup, which will create the space to upstream the FX and ONNX pure Python importers. This primary non-NFC change to the API is: * `torch_mlir.dialects.torch.importer.jit_ir` -> `torch_mlir.jit_ir_importer`. The rest is source code layering so that we can make the pt1 project optional without losing the other features. Progress on #2546.	2023-11-19 12:10:19 -08:00