Update XNNPACK to latest version (microsoft#18038)

### Description
<!-- Describe your changes. -->
Update XNNPACK to latest version
- adds fp16 kernels and various other improvements
- requires pthreadpool update as well

Most code updates in the XNNPACK EP are to adjust to the new XNNPACK API
- 'setup' is split into 'reshape' and 'setup'
-  some ops use a workspace buffer
   -  copied workspace allocation from XNNPACK unit test code
- some suffixes changed 

Added wrapper for XNNPACK caches to base XNNPACK EP kernel
- simplifies usage
- XNNPACK split out the code and weights caches, but the code cache
isn't currently usable via the public API
- we could use the internal types if we think it's required for
performance reasons. non-trivial though as we'd need to propagate ifdef
values from the XNNPACK build up to the ORT build.
- using XNNPACK internals would also mean we would not be able to
support using a pre-build XNNPACK package
    - not an issue currently
  
Fixed opset registration for internal NHWC domain
- was not being tied to the ONNX version, so nodes inserted by layout
transformation had the incorrect opset
- a number of other places needed updating once this issue was fixed

Remove support for NCHW Resize from XNNPACK EP so it's NHWC only
- we only supported NCHW for fp32,
- doing so adds complexity in multiple places (XNNPACK EP kernel
implementation, layout transformation and transpose optimization)
- unclear if that complexity provides any benefit. can add back if
required by production scenario

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
We're looking at enabling fp16 support for CoreML and NNAPI. If we do
that we need a good fallback story if the CPU EP will be used. The
XNNPACK fp16 kernels will hopefully provide that.

NOTE: This PR doesn't add fp16 support to the XNNPACK EP kernels. That
can be done as required in separate EPs and should be relatively simple
to do.

web/docs/webgpu-operators.md

@@ -20,15 +20,15 @@ Do not modify directly.*
 | Asinh | ai.onnx(9+) |  |
 | Atan | ai.onnx(7+) |  |
 | Atanh | ai.onnx(9+) |  |
-| AveragePool | ai.onnx(7-9,10,11+); com.ms.internal.nhwc(11+) | need perf optimization; need implementing activation |
+| AveragePool | ai.onnx(7-9,10,11+); com.ms.internal.nhwc(7-9,10,11+) | need perf optimization; need implementing activation |
 | BiasAdd | com.microsoft(1+) |  |
 | BiasSplitGelu | com.microsoft(1+) |  |
 | Cast | ai.onnx(6-8,9-12,13-18,19+) |  |
 | Ceil | ai.onnx(6-12,13+) |  |
 | Clip | ai.onnx(6-10,11,12,13+) |  |
 | Concat | ai.onnx(1-3,4-10,11-12,13+) |  |
-| Conv | ai.onnx(1-10,11+); com.ms.internal.nhwc(11+) | need perf optimization; conv3d is not supported; need implementing activation |
-| ConvTranspose | ai.onnx(1-10,11+); com.ms.internal.nhwc(11+) | need perf optimization; ConvTranspose3d is not supported; need implementing activation |
+| Conv | ai.onnx(1-10,11+); com.ms.internal.nhwc(1-10,11+) | need perf optimization; conv3d is not supported; need implementing activation |
+| ConvTranspose | ai.onnx(1-10,11+); com.ms.internal.nhwc(1-10,11+) | need perf optimization; ConvTranspose3d is not supported; need implementing activation |
 | Cos | ai.onnx(7+) |  |
 | Cosh | ai.onnx(9+) |  |
 | Div | ai.onnx(7-12,13,14+) |  |
@@ -57,7 +57,7 @@ Do not modify directly.*
 | LessOrEqual | ai.onnx(12-15,16+) |  |
 | Log | ai.onnx(6-12,13+) |  |
 | MatMul | ai.onnx(1-12,13+) |  |
-| MaxPool | ai.onnx(1-7,8-9,10,11,12+); com.ms.internal.nhwc(11,12+) | need perf optimization; need implementing activation |
+| MaxPool | ai.onnx(1-7,8-9,10,11,12+); com.ms.internal.nhwc(1-7,8-9,10,11,12+) | need perf optimization; need implementing activation |
 | MemcpyFromHost | ai.onnx(1+) |  |
 | MemcpyToHost | ai.onnx(1+) |  |
 | Mul | ai.onnx(7-12,13,14+) |  |
@@ -79,7 +79,7 @@ Do not modify directly.*
 | ReduceSumSquare | ai.onnx(1-10,11-12,13-17,18+) |  |
 | Relu | ai.onnx(6-12,13,14+) |  |
 | Reshape | ai.onnx(5-12,13,14+) | no GPU kernel |
-| Resize | ai.onnx(10,11-12,13-17,18,19+); com.ms.internal.nhwc(11-12,13-17,18,19+) | CoordinateTransformMode align_corners is not supported with downsampling |
+| Resize | ai.onnx(10,11-12,13-17,18,19+); com.ms.internal.nhwc(10,11-12,13-17,18,19+) | CoordinateTransformMode align_corners is not supported with downsampling |
 | Shape | ai.onnx(1-12,13-14,15+) | no GPU kernel; an ORT warning is generated - need to fix |
 | Sigmoid | ai.onnx(6-12,13+) |  |
 | Sin | ai.onnx(7+) |  |

web/test/test-runner.ts

@@ -164,7 +164,10 @@ async function initializeSession(
       session = await ort.InferenceSession.create(modelFilePath, sessionConfig);
     }
   } catch (e) {
-    Logger.error('TestRunner', `Failed to load model from file: ${modelFilePath}. Error: ${inspect(e)}`);
+    Logger.error(
+        'TestRunner',
+        `Failed to load model from file: ${modelFilePath}. ` +
+            `Error: ${e.message} @ ${e.fileName}:${e.lineNumber}`);
     throw e;
   }