3 Commits (d7b8f00d017253b98d5c41aa120938678f8ec672)

Author	SHA1	Message	Date
zjgarvey	297c270980	onnx.Resize and aten._interpolate : allow n spatial dims. (#3368) ... The old lowering only had logic for 2d (i.e. images). this patch allows interpolation for n spatial dims, which is required for some 3d vision models such as - onnx/models/pytorch-3dunet_vaiq_int8 which successfully compiles and runs with this patch.	2024-05-20 13:35:27 -07:00
zjgarvey	6cba93b16e	[ONNX][TorchToLinalg] Add support for dynamic dims in Interpolate lowering (#3351) ... Addresses [Shark-Turbine #196](https://github.com/nod-ai/SHARK-TestSuite/issues/196) Related tracker [Shark-Turbine #566](https://github.com/nod-ai/SHARK-Turbine/issues/566) Related onnx.Resize issues [Shark-Turbine #616](https://github.com/nod-ai/SHARK-Turbine/issues/616)	2024-05-17 12:18:57 -07:00
aldesilv	ec6d7aa5d2	OnnxToTorch lowering resize op (#3013) ... https://github.com/nod-ai/SHARK-Turbine/issues/358 adds a lowering from onnx to linalg for bilinear and nearest resize with support for using scales or sizes to get resize shape. uses coordinate transform half pixel for bilinear mode and asymmetrical for nearest mode. See https://github.com/onnx/onnx/blob/main/docs/Operators.md#Resize. Added two passes -- one for bilinear and the other for nearest.	2024-05-08 21:35:03 +00:00