**Description**:
1. add pytorch_half_pixel interpolation mode in resize-packed.ts
Changes: add the following case in createPackedResizeProgramInfo
function:
```
case 'pytorch_half_pixel':
getSourceFracIndex = `
vec4 getSourceFracIndex(ivec4 coords) {
vec4 fcoords = vec4(coords);
return vec4(
${outputWidth}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
${outputHeight}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
${outputWidth}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
${outputHeight}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
);
}
`;
break;
```
2. fix "unrecognized input '' for node: Resize_$num" error when inputs
like [input_tensor, None, scale_factor] (roiInput not given) are fed
into the resize layer.
Changes: change in input handling logic in upsample.ts & node scanning
logic in graph.ts
**Motivation and Context**
Before this fix, we aren't able to use webGL backend when the neural
network contains pytorch resize layers. This fix adds
'pytorch_half_pixel' interpolation mode support and makes it possible to
use webGL backend for more kind of computer vision networks.
This commit solves:
#10430
Co-authored-by: neo <neo@icode-lab.com>
Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com>
* add p50 in test
* Support FusedConv in WebGL
* resolve comments
* add a comment for longToNumber change
Co-authored-by: Yulong Wang <yulongw@microsoft.com>
* add p50 in test
* support opset-13 of softmax
* update a operators.md
* resolve comments
* fix lint and format
Co-authored-by: Yulong Wang <yulongw@microsoft.com>
* Support opset-13 for squeeze, unsqueeze, maxpool, pad, cast, clip
* merge master and update a operators.md
* resolve comment. revise pool and cast kernel implementation.
* skip fusion when clip min and max is not in initializer
* [js/web] support string tensor for wasm backend
* disable v9/test_cast_STRING_to_FLOAT: test data is wrong
* add non-string check
* Update session-handler.ts
* Update session-handler.ts
* fixed bugs in packed mode and enable pack mode tests in ci
* removed unnecessary space
* pr comments
* pr comments
* disable an average pool test
* try disabling another avg pool
* disable more avg pool tests
* disable maxpool tests
* migrated changes to support running super resolution model using ortweb
* reverted benchmarking tool related changes which will be in a separate pr
* added kernel tests to op and node tests
* minor change to the order of variables
* added one more unit test for packed matmul
