onnx-mlir/test/mlir/onnx
Alexandre Eichenberger e2af505746
Constprop (#162)
* initial const prop attempt

* added support for broadcast ops

* adde all binary broadcast ops into custom builders with precise type

* added test example

* working

* format

* fixed suggestion by Tung, start woring on unary

* added subtraction and neg the right way, and added elementwise mul too

* formatting changes

* format

* format

* added instructions to add new optimizations
2020-06-08 15:45:32 -04:00
..
onnx_canonicalization.mlir Implement PadOp based on attribute promotion (#71) 2020-05-15 13:19:28 +08:00
onnx_constprop.mlir Constprop (#162) 2020-06-08 15:45:32 -04:00
onnx_decompose.mlir Add the split marker to test files (#90) 2020-04-16 15:17:27 +08:00
onnx_elide_constants.mlir Rework output to improve readability of intermediate MLIR code. (#87) 2020-04-24 16:15:36 -04:00
onnx_krnl_global_elision.mlir Rework output to improve readability of intermediate MLIR code. (#87) 2020-04-24 16:15:36 -04:00
onnx_lowering.mlir Add AffineScope trait to KrnlIterateOp and enable affine-loop-fusion pass (#140) 2020-06-08 15:36:27 +08:00
onnx_lowering_with_dealloc.mlir Add AffineScope trait to KrnlIterateOp and enable affine-loop-fusion pass (#140) 2020-06-08 15:36:27 +08:00
onnx_shape_inference.mlir Implement PadOp based on attribute promotion (#71) 2020-05-15 13:19:28 +08:00
onnx_shape_inference_maxpool.mlir Add the split marker to test files (#90) 2020-04-16 15:17:27 +08:00