Tung D. Le 1882059ac9 Support Pads for MaxPoolSingleOut (#14) ... * Support Pads for MaxPoolSingleOut * Regenerate onnx.md to include the new op * Edit comments * Undo redundant parts that were unintentionally changed * Move declarative rewriting rules into canonicalize to avoid creating a new op * Reformat the rewriting rule pattern of MaxPoolSingleOut * Put ONNXPadConstantValuePadOp's build method into a .cpp file instead of a tablegen file * Use the same helper function as the one in inferShape for the ONNXPadConstantValuePadOp's build method * Change function names and fix padding for the spatial dimensions * Call shape-inference again after canonicalization to infer shape for newly added ops during canonicalization. * Fix typos		2020-03-09 20:15:58 -04:00
..
onnx_canonicalization.mlir	Support Pads for MaxPoolSingleOut (#14)	2020-03-09 20:15:58 -04:00
onnx_decompose.mlir	Add a pass to decompose ONNX operations (#9)	2020-03-04 10:53:59 -05:00
onnx_lowering.mlir	Lower MaxPoolSingleOutOp to Krnl dialect (#1)	2020-03-04 14:27:21 -05:00
onnx_lowering_with_dealloc.mlir	Chentong319 attribute with variant (#25)	2020-01-21 19:36:21 -07:00
onnx_shape_inference.mlir	Merge remote-tracking branch 'upstream/master' into shapeinference-pad	2020-02-14 15:35:47 -05:00
onnx_shape_inference_maxpool.mlir	Using attribute setters for maxpool (#105)	2020-02-25 14:33:48 -05:00