torch-mlir/projects/pt1/e2e_testing
zjgarvey 074098d20c
Modifies onnx resize lowering to fix numerical issues (#3381)
Updates:

- some unsupported modes are now going to report a match failure for
unsupported coordinate transformation modes.
- fixes a bug that was introduced in the last patch for resize (my
bad...)
- uses actual x and y coordinates for computing weights in bilinear
interpolation (rather than eps modified values)
- slightly simplifies the bilinear interpolation payload for readability
and performance
- passes coordinate transformation mode information from an onnx.Resize
op to the mode string for the aten._interpolate op. This allows us to
perform custom logic in the torch->linalg lowering to support
onnx.Resize options without losing the default behaviors of the
interpolate op.
2024-05-30 20:34:37 -04:00
..
main.py [ONNX][TOSA] Adds ONNX to TOSA e2e tests (#3358) 2024-05-16 21:44:26 -07:00
xfail_sets.py Modifies onnx resize lowering to fix numerical issues (#3381) 2024-05-30 20:34:37 -04:00