onnxruntime

[webgpu] Implement SubGroupMatrix based MatMulNBits for Metal (#23729)

### Description
Recent progress with SubGroupMatrix prototype in Dawn
https://issues.chromium.org/issues/348702031, exposes SIMD-Group Matrix
Functions to webgpu. This shader implements a matmulnbits using that
primitive.

Observed perf gains, in terms of LLM inference speed, prefill perf for
Phi 3.5 for a 1K token prefill see 3x improvement. 5.4s from 15s.

With Changes
```
./model_benchmark -i ~/Phi-3.5-mini-instruct-onnx-web -l 1000
Batch size: 1, prompt tokens: 1001, tokens to generate: 128
Prompt processing (time to first token):
	avg (us):       5.42498e+06                    <<< SubGroupMatrix 5.4s
	avg (tokens/s): 184.517
	p50 (us):       5.41982e+06
	stddev (us):    12023.8
	n:              5 * 1001 token(s)
Token generation:
	avg (us):       91138.5
	avg (tokens/s): 10.9723
	p50 (us):       89488.5
	stddev (us):    35136.2
	n:              635 * 1 token(s)

```
Baseline
```
./model_benchmark -i ~/Phi-3.5-mini-instruct-onnx-web -l 1000
Batch size: 1, prompt tokens: 1001, tokens to generate: 128
Prompt processing (time to first token):
	avg (us):       1.45507e+07                     <<< Baseline 14.5s
	avg (tokens/s): 68.7938
	p50 (us):       1.45413e+07
	stddev (us):    22208.9
	n:              5 * 1001 token(s)
Token generation:
	avg (us):       94109.8
	avg (tokens/s): 10.6259
	p50 (us):       89660
	stddev (us):    61579
	n:              635 * 1 token(s)
```