zjgarvey 1201babb9f [ONNX] rework some reduction op lowerings (#3870) ... - Refactors more "onnx.ReduceXXX" patterns through helper function. - Fixes bug with iterating unconditionally on `output_dim == 1` during `dimList` inference. This change results in passes for the following 11 models: crossvit_15_240 crossvit_15_dagger_240 crossvit_15_dagger_408 crossvit_18_240 crossvit_18_dagger_240 crossvit_18_dagger_408 crossvit_9_240 crossvit_9_dagger_240 crossvit_base_240 crossvit_small_240 crossvit_tiny_240 --------- Co-authored-by: Vinayak Dev <104419489+vinayakdsci@users.noreply.github.com>		2024-11-14 16:25:28 +00:00
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ops	Cast static/dynamic shape for onnx.If branches to match result type (#3828)	2024-11-01 12:10:59 -07:00
simple_ops_a_to_f.mlir	Adds onnx ConvTranspose support for autopadding. (#3797)	2024-10-18 12:31:33 -05:00
simple_ops_g_to_p.mlir	Added support for Maxpool (Autopad) (#3774)	2024-10-23 13:04:50 +00:00
simple_ops_q_to_z.mlir	[ONNX] rework some reduction op lowerings (#3870)	2024-11-14 16:25:28 +00:00
unsupported_fb_opt_ops.mlir	Add attributes support for onnx cumsum op (#3241)	2024-05-11 02:09:01 +08:00