### Description
This PR includes the following changes:
- upgrade js dependencies
- enable STRICT mode for web assembly build.
- corresponding fix for cmake-js upgrade
- corresponsing fix for linter upgrade
- upgrade default typescript compile option of:
- `moduleResolution`: from `node` to `node16`
- `target`: from `es2017` to `es2020`
- fix ESM module import in commonJS source file
## change explanation
### changes to onnxruntime_webassembly.cmake
`-s WASM=1` and `-s LLD_REPORT_UNDEFINED` in latest version is
by-default and deprecated.
### changes to onnxruntime_node.cmake
The npm package `cmake-js` updated its way to find file `node.lib`.
previously it downloads this file from Node.js public release channel,
and now it generates it from a definition file.
The node.js release channel does not contain a windows/arm64 version, so
previously cmake-js will fail to download `node.lib` for that platform.
this is why we made special handling to download the unofficial binary
to build. now this is no longer needed so we removed that from the cmake
file.
### changes to tsconfig.json
`node16` module resolution supports async import and `es2020` as target
supports top level await.
### Description
While browsing the sources I found several typos here and there.
I collected them to a single PR and fixed them.
Namely these typos are: operater, tranform, neccessary, trainig.
After fixing none of them was found anymore:
$ git grep "operater"
$ git grep "tranform"
$ git grep "neccessary"
$ git grep "trainig"
$
### Motivation and Context
Since some of the typos are in example notebooks and markdown files,
users can see them.
**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
