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Tung D. Le 2b56c09454
Rewrite ReduceL1, ReduceL2, ReduceLogSum, ReduceLogSumExp, ReduceSumSquare in the ONNX dialect (#38) 
* Rewrite ReduceSumSquare

* Edit gen_doc.py

* Revise the code

* Do shape inference after canonicalization so that there is no need to implement shape inference of rewritten ops

* Rewrite ReduceL2

* Add onnx_rewrite.cpp for all rewriting for ONNX ops

* Rewrite ReduceL1, ReduceLogSum, ReduceLogSumExp

* Edit comments

* Change the use of -> to .

* Checkout gen_doc.py from the master branch

* Use emplace_back instead of push_back

* Revise the code

* Edit comments

Co-authored-by: Tian Jin <tjingrant@gmail.com>
 		2020-01-31 19:00:39 +08:00
..
onnx_canonicalization.mlir Rewrite ReduceL1, ReduceL2, ReduceLogSum, ReduceLogSumExp, ReduceSumSquare in the ONNX dialect (#38) 2020-01-31 19:00:39 +08:00
onnx_lowering.mlir Lower transpose operation to KRNL dialect (#54) 2020-01-30 11:44:56 -05:00
onnx_lowering_with_dealloc.mlir Chentong319 attribute with variant (#25) 2020-01-21 19:36:21 -07:00
onnx_shape_inference.mlir Handle 1-D MATMUL N-D (#56) 2020-01-29 10:35:05 -05:00
onnx_shape_inference_maxpool.mlir Inference maxpool (#48) 2020-01-30 14:30:28 -05:00