### Description
See
454996d496
for manual changes (excluded auto-generated formatting changes)
### Why
Because the toolsets for old clang-format is out-of-date. This reduces
the development efficiency.
- The NPM package `clang-format` is already in maintenance mode. not
updated since 2 years ago.
- The VSCode extension for clang-format is not maintained for a while,
and a recent Node.js security update made it not working at all in
Windows.
No one in community seems interested in fixing those.
Choose Prettier as it is the most popular TS/JS formatter.
### How to merge
It's easy to break the build:
- Be careful of any new commits on main not included in this PR.
- Be careful that after this PR is merged, other PRs that already passed
CI can merge.
So, make sure there is no new commits before merging this one, and
invalidate js PRs that already passed CI, force them to merge to latest.
### Description
<!-- Describe your changes. -->
refactor tensor type in onnxruntime-common.
### Motivation and Context
There major motivation is that I am doing a local change to address the
API part of #15312. And I am doing a refactoring of onnxruntime-common
anyway (#15772).
The `tensor.ts` and `tensor-impl.ts` are too large, so I split contents
into multiple files to make the type declarations clearer.
The original target of this change is for API only ( ie. do not refactor
any implementation.). However, there are a few type/implementation
inconsistencies so I also made minimal changes to fix them.
### Changes
- extract `TensorUtils` for non-template interfaces
- extract `TensorFactory` for all overloads of `Tensor.fromImage()`
- refactor options type that used for `Tensor.fromImage()`
- fix JSDoc comments to make option descriptions consistent with actual
type declarations
- fix an inconsistency for `options.format` and `options.bitmapFormat`;
change all `bitmapFormat` to `format`
- extract `ConversionUtils` for `tensor.toDataURL()` and
`tensor.toImageData()`
- put implementations into multiple files from `tensor-impl.ts`
- fix a bug that cause unittest fail. put comments for future fix.
### Description
Enabled the use of per channel Bias and Mean normalization when converting an image <--> tensor.
Added a few bug fixes and updates to the relevant E2E tests.
---------
Co-authored-by: shalvamist <shalva.mist@microsoft.com>
