5 Commits

Author SHA1 Message Date
Fangjun Kuang
1c07d2fb37
Remove all-in-one for onnx export (#614)
* Remove all-in-one for onnx export

* Exit on error for CI
2022-10-12 10:34:06 +08:00
Yunusemre
f3db4ea871
exporting projection layers of joiner separately for onnx (#584)
* exporting projection layers of joiner separately for onnx
2022-10-11 18:22:28 +08:00
Yunusemre
7157f62af3
Merging onnx models (#518)
* add export function of onnx-all-in-one to export.py

* add onnx_check script for all-in-one onnx model

* minor fix

* remove unused arguments

* add onnx-all-in-one test

* fix style

* fix style

* fix requirements

* fix input/output names

* fix installing onnx_graphsurgeon

* fix instaliing onnx_graphsurgeon

* revert to previous requirements.txt

* fix minor
2022-08-04 23:03:41 +08:00
Fangjun Kuang
58a96e5b68
Support exporting to ONNX format (#501)
* WIP: Support exporting to ONNX format

* Minor fixes.

* Combine encoder/decoder/joiner into a single file.

* Revert merging three onnx models into a single one.

It's quite time consuming to extract a sub-graph from the combined
model. For instance, it takes more than one hour to extract
the encoder model.

* Update CI to test ONNX models.

* Decode with exported models.

* Fix typos.

* Add more doc.

* Remove ncnn as it is not fully tested yet.

* Fix as_strided for streaming conformer.
2022-08-03 10:30:28 +08:00
Fangjun Kuang
f23dd43719
Update results for libri+giga multi dataset setup. (#363)
* Update results for libri+giga multi dataset setup.
2022-05-14 21:45:39 +08:00