Commit graph

11 commits

Author SHA1 Message Date
Cheng
819c36701f
[xnnpack] basic QDQ operators support (#11912)
* basic ops for mobilenet,qconv,qsoftmax,qavgpool

update Xnnpack to latest

unit test

* NodeUnit: use outputedge to replace output-node

* qdq model e2e test

* use inlinedvector to replace vector

* conv bias check

* tensorshape helpers

* Refactor xnn_op minmax

* Qlinearsoftmax schema update

* Remove qlinearsoftmax registration

Co-authored-by: Jicheng Wen <jicwen@microsoft.com>
2022-08-11 10:12:51 +08:00
Changming Sun
7b4ce0c1e1
Delete the build scripts that were copied from manylinux project (#12358)
1. Delete the build scripts that were copied from manylinux project. Use "git checkout" instead.
2. Update manylinux version to get python 3.11. Related issue: Python 3.11 support #12343
3. Change the cuda version of linux gpu build job of nuget packaging pipeline from cuda 11.4 to cuda 11.6 to match the TRT job within the same pipeline.. (A lot other places need be updated as well, but I'd prefer to put them in another PR)
4. Make dockerfile names static. For example, replace tools/ci_build/github/linux/docker/$(DockerFile) to tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cpu . The former one relies on a runtime variable $(DockerFile), Template Parameters are expanded early in processing a pipeline run when most variables are not available. It like C++ macros vs variables.
2022-07-29 18:24:19 -07:00
Gary Miguel
4bf22e2a40
Update ONNX to 1.12 (#11924)
Follow-ups that need to happen after this and before the next ORT release:
* Support SequenceMap with https://github.com/microsoft/onnxruntime/pull/11731
* Support signal ops with https://github.com/microsoft/onnxruntime/pull/11778

Follow-ups that need to happen after this but don't necessarily need to happen before the release:
* Implement LayerNormalization kernel for opset version 17: https://github.com/microsoft/onnxruntime/issues/11916

Fixes #11640
2022-06-21 17:19:52 -07:00
Scott McKay
4445dd6bc1
XNNPACK EP (#11445)
* Implement XNNPACK support via an EP.
  * Layout transform uses the GraphPartitioner infrastructure.
  * Node fusion is supported.
  * Conv and MaxPool implementations were ported from Changming's PR.
  * Added optional mutex in InferenceSession::Run as we only want to allow sequential calls if xnnpack is enabled
2022-06-03 20:22:34 +10:00
Changming Sun
207ad7eef9 Remove spdlog from cgmanifest.json 2022-05-10 22:02:21 -07:00
Edward Chen
e194a01787
Update SafeInt version. (#11379) 2022-04-28 10:51:59 -07:00
Changming Sun
cc6bc34c8c
Update protobuf submodule (#10801) 2022-03-09 09:37:58 -08:00
liqun Fu
da885a72e8
update with onnx 1.11 release (#10441) 2022-03-07 21:10:55 -08:00
Guoyu Wang
5f0ba31890
Remove coremltools submodule *security vulnerability* and copy the coreml model schema (#10424)
* remove coremltools submodule

* update cgmanifest

* Copy proto files directly from coremltools
2022-01-28 12:48:48 -08:00
Changming Sun
de018f58e8
Update manylinux build scripts (#9701) 2021-11-09 11:55:49 -08:00
Edward Chen
a355bcbd73
Clarify cgmanifest.json update process. (#9664) 2021-11-04 16:23:52 -07:00