onnxruntime/js/web/lib/wasm/jsep
MasayoshiTsutsui 6a9d8a9030
[js/webgpu] implement DepthToSpace operator in webgpu (#19948)
### Description
This PR supports
[DepthToSpace](https://onnx.ai/onnx/operators/onnx__DepthToSpace.html#depthtospace)
operator in webgpu backend.


### Test
We followed the steps described on [this
page](https://gist.github.com/fs-eire/a55b2c7e10a6864b9602c279b8b75dce)
to build, tested with the following commands, and confirmed that it
passed the Model and Op tests that already existed. (Probably, these
test cases were prepared in the past for WebGL backend)
```
~/onnxruntime/js/web>
% npm test -- suite0 -b=webgpu --wasm-number-threads=1 --debug   
```
##### NOTE
I want to tell you that the main branch version failed 5 tests for the
resize_upsample_sizes_nearest operator.
Since I didn't touch this issue, those test cases still fail in my
branch as well.
Should I post an issue for this?


### Motivation and Context
Though the DepthToSpace operator plays a crucial role in
super-resolution domains, it was not supported in webgpu backend.
2024-04-10 12:13:46 -07:00
..
webgpu [js/webgpu] implement DepthToSpace operator in webgpu (#19948) 2024-04-10 12:13:46 -07:00
backend-webgpu.ts [js/webgpu] perform uniform consistency check (#20019) 2024-03-26 17:14:43 -07:00
init.ts [js/web] rewrite backend resolve to allow multiple EPs (#19735) 2024-03-15 11:47:45 -07:00
log.ts [js/webgpu] support proxy for webgpu (#15851) 2023-05-15 16:23:13 -07:00
tensor-view.ts [js/web] revise TensorView (#17473) 2023-09-14 21:14:44 -07:00
util.ts [js/webgpu] allows a ProgramInfo's RunData to use zero sized output (#19614) 2024-02-23 12:52:47 -08:00