Commit Graph

35 Commits

Author SHA1 Message Date
chentong319 23bea50404
Implement PadOp based on attribute promotion (#71)
* enable promote attr for pad

* use optional arguments for pad

* shape infereance for pad

* Lowering Pad

* format file

* use DenseTensor for the attribute

* use Pad in ONNXRewrite

* fix the merge conflict

* fix the attr given to constantOp

* handle ONNXConstantOp in attribute promotion

* Fix bug when AttributePromotion is called more than once

* update ONNXOps.td.inc with correct version of onnx

* update onnx.md

* responses to review

* fix the build error

* change the implementation of Pad

* delete commented out code

* clang format

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-05-15 13:19:28 +08:00
Tung D. Le 24343177b8
Lower LSTMOp to Krnl dialect (#73)
* Support dilations and enable e2e tests

* Fix allocating memory for dynamic shape

* Edit comments

* Do dilation by computing an offset from kernel index

* Correct dilation formula, add an example of out-of-bound, and add a test for dilation

* Import optional outputs as NoneType

* Shape inference for ONNXLSTM

* Edit ONNXLSTM::inferShape()

* Shape inference for ONNXLSTMOp

* Create a common function for inferring shape for RNN ops

* CheckInsertDeallocation for a specific result

* Allocate memory for LSTM

* First round of lowering

* Allocate memory for hidden and cell states

* Test with custom Tanh

* Fix an error in Ct's formula

* Add E2E tests

* Return outputs

* Refactor the code

* Enable E2E tests

* Support reverse and bidirectional directions

* Minor revision

* Return all intermediate hidden states

* Call existing activation functions

* Structs for activation functions

* Call existing activations in ONNX

* Minor revision

* Compare strings ignoring case

* Use memreftype of rank 0 for calling activation functions

* Fix getActivationPack()

* Revise the code

* Add one MLIR test

* Add MLIR tests for reverse and bidirectional modes

* Make the order of emiting instructions deterministic

* Use OperandAdaptor instead of directly use an operand index

* Use literal assignments

* Change some variable names

* Use literal assignments

* Use literal assignments

* Format the code

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-05-13 21:08:06 +08:00
Tung D. Le 9a874007ce
Implement shape inference for SplitOp (#95)
* Implement shape inference for SplitOp

* Change spitOpt to SplitAttribute and check the axis range before updating the axis attribute

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-05-13 18:07:27 +08:00
Tung D. Le e32f531546
Add the split marker to test files (#90)
Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-04-16 15:17:27 +08:00
Alexandre Eichenberger fa8962753c
Concat lower (#82)
* implement shape inference for concat

* better checking of axis being concatenated: constant values only

* lowering of Concat with lit and backend tests

* fixes

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-04-13 11:40:39 -04:00
Alexandre Eichenberger f5bed72e13
implement shape inference for concat (#74)
* implement shape inference for concat

* better checking of axis being concatenated: constant values only
2020-04-07 16:13:41 -04:00
Alexandre Eichenberger 653fa69102
Unify Conv implementation (#54)
* fixed readme for new git repo

* conv with bias as an optional input
2020-03-26 11:03:19 -04:00
Gheorghe-Teodor Bercea 1622b9f161
[NFC] Change ONNF based names to ONNX-MLIR (#32)
* Rename onnf to onnx-mlir.

* Change workspace name.
2020-03-17 09:16:33 -04:00
Tung D. Le d86591d61a
Import all initialized tensors as dense constants (#30)
* Import initialized tensor as dense attribute

* Import all initialize tensors as dense constants

* Remove unintentional code

* Fix value attribute format in shape inference tests of reshape

* Readd rank check for reshape's shape inference

* Remove a redundant variable

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-03-16 11:17:28 -04:00
Gheorghe-Teodor Bercea c46880d5c6
Fix reshape output shape inference when a single dynamic shape is given (#22)
* Fix reshape when a dynamic shape is given.

* Fix default attributes for ConvNoBias.

* Fix comment.

* Resolve comment.

* Improve checks.

* Handle zero dim case.

* Add helper to fetch constants. Add test for dynamic reshape.

* Add test for zero.

* Use shortcut method for size.
2020-03-13 17:18:46 -04:00
chentong319 6137fc7c17
Fix issues #15 and #16 (#29)
* fix issue #15 and #16

* fix format

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-03-13 10:19:27 -04:00
Tung D. Le 362491553c
Shape inference for ONNXAveragePool (#21)
* Shape inference for ONNXAveragePool

* Edit comments and puts helper function on top of the file

* Fix template
2020-03-13 09:59:16 -04:00
Tung D. Le a65820940c
Lower ConstantOp (#28)
* Lower ConstantOp

* Refactor the code

* Edit error messages

* Check whether attribute is sparse or dense during shape inference
2020-03-12 10:58:42 -04:00
Alexandre Eichenberger 811b63e031
Inter common pad (#26)
* common pad handling in shape inference for conv and maxpool

* common pads

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-03-11 18:36:02 -04:00
Gheorghe-Teodor Bercea e8a0b47e10
Fix case for upper and lower padding when strides are present. (#11)
* Fix case for upper and lower padding when strides are present.

* Address comments.

* Code clean-up.

* Fix tests.
2020-03-10 16:58:05 -04:00
chentong bbdf4e3b4d Merge remote-tracking branch 'upstream/master' into shapeinference-pad
Conflicts:
	test/mlir/onnx/onnx_shape_inference.mlir
2020-02-14 15:35:47 -05:00
Gheorghe-Teodor Bercea 17d84901b7
Allow 1-D convolutions. (#86)
* Fix check.

* Fix comment.
2020-02-14 10:54:08 -05:00
chentong c3041bfb43 shape inference for pad with constant pads 2020-02-13 19:56:05 -05:00
Tung D. Le f3047943a1
Handle 1-D MATMUL N-D (#56) 2020-01-29 10:35:05 -05:00
Gheorghe-Teodor Bercea 3f5c543782
Merge branch 'master' into matmul-shape 2020-01-27 11:37:40 -05:00
chentong319 c74f814f64 Add attributes as operation parameters (#45)
* add attributes of Op into parameters

* fix rewrite rule for GemmOp with attributes

* use I64Attr instead of I32Attr and modify test cases for the changes in attributes

* add output name (prefixed with o_) to Op definition

* update shape inference for the new attributes
2020-01-27 10:09:14 -05:00
Doru Bercea 07d28769d3 Merge remote-tracking branch 'origin/master' into matmul-shape 2020-01-23 11:53:53 -05:00
Doru Bercea 7dda698e7e Add test with dilations and auto padding set to SAME_UPPER. 2020-01-22 16:40:33 -05:00
Doru Bercea 68efd21064 Fix dilation formula in the code. 2020-01-22 16:34:59 -05:00
Doru Bercea 050d7d277d Fix test. 2020-01-22 16:12:09 -05:00
Doru Bercea 0bc07ef661 Merge remote-tracking branch 'origin/master' into matmul-shape 2020-01-22 15:29:09 -05:00
Doru Bercea ea45cbcca9 Add support for dilations attribute and add tests. 2020-01-22 14:40:10 -05:00
Doru Bercea f0b484c0bc Add test for transpose with permutation. 2020-01-20 14:54:40 -05:00
Doru Bercea da0e9b01b1 Fix 1 and 2 dimensional cases. Add test for 1 and 2 dimensional combinations. 2020-01-14 10:47:24 -05:00
Doru Bercea 642f77abed Add additional dynamic dimension. 2020-01-14 10:47:24 -05:00
Doru Bercea 95ebf3e23a Add test for multypling stacks of matrices. 2020-01-14 10:47:24 -05:00
Doru Bercea ae966cdee9 Add tests for matrices and stack of matrices combinations. 2020-01-14 10:47:24 -05:00
Doru Bercea a5f1d39c20 Add tests for matrices and stack of matrices combinations. 2020-01-14 10:47:24 -05:00
Doru Bercea 6478c88cdc Add test for all one dimensional case. 2020-01-14 10:47:24 -05:00
Doru Bercea 151f4f8c44 Add the default shape inference for the transposition operation. 2020-01-09 13:50:38 -05:00