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Alexander Visheratin 415c26e46e
[JS/WebGPU] Squeeze operator implementation (#16024) 
### Description

This PR adds an implementation of the `Squeeze` operator to WebGPU JSEP.
The implementation follows the [operator
schema](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Squeeze)
and allows one or two inputs.

### How was it tested

1. I created two models. Without `axes`:

```Python
import onnx.helper

node = onnx.helper.make_node(
    "Squeeze",
    inputs=["T"],
    outputs=["y"],
)
graph = onnx.helper.make_graph([node], "test", [onnx.helper.make_tensor_value_info("T", 1, [3, 1, 4, 5])], 
    [onnx.helper.make_tensor_value_info("y", 1, [3, 4, 5])])
onnx.save(onnx.helper.make_model(graph), "squeeze.onnx")
```

And with `axes`:

```Python
import onnx.helper

node = onnx.helper.make_node(
    "Squeeze",
    inputs=["T", "axes"],
    outputs=["y"],
)
graph = onnx.helper.make_graph([node], "test", [onnx.helper.make_tensor_value_info("T", 1, [3, 1, 4, 5]), onnx.helper.make_tensor_value_info("axes", 7, [1])], [onnx.helper.make_tensor_value_info("y", 1, [3, 4, 5])])
onnx.save(onnx.helper.make_model(graph), "squeeze-dim.onnx")
```

2. I compiled the runtime using @fs-eire's
[instructions](https://gist.github.com/fs-eire/a55b2c7e10a6864b9602c279b8b75dce).
3. I ran the test models in the browser using this minimal setup:
```HTML
<html>
    <script src=".\dist\ort.webgpu.min.js"></script>
    <script>
        async function run() {
            const session = await ort.InferenceSession.create('squeeze-dim.onnx', {executionProviders: ['webgpu']});
            console.log(session);
            const input = new ort.Tensor('float32', new Float32Array(60), [3, 1, 4, 5]);
            const dim = new ort.Tensor('int64', [-3n], [1]);
            const output = await session.run({ "T": input, "axes": dim });
            console.log(output);
        }
        run();
    </script>
</html>
```

### Motivation and Context

Improve operator coverage for WebGPU JSEP.
2023-05-26 15:53:05 -07:00
..
webgl-operators.md [js/webgpu] generate operator table for webgpu (#15954) 2023-05-20 12:20:41 -07:00
webgpu-operators.md [JS/WebGPU] Squeeze operator implementation (#16024) 2023-05-26 15:53:05 -07:00