chore: update node_modules with new binary files and dependencies

- Add new binary files for nodemon, onnxruntime-web, and xenova/transformers
- Update various JavaScript and TypeScript files in node_modules
- Remove unused files and dependencies
- Add new test fixtures and documentation files

node_modules/onnxruntime-web/lib/onnxjs/backends/webgl/ops/conv-pack.ts

@@ -0,0 +1,50 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+import {Tensor} from '../../../tensor';
+import {WebGLInferenceHandler} from '../inference-handler';
+
+import {calculateOutputShape, ConvAttributes} from './conv';
+import {createPackedIm2ColProgramInfoLoader} from './im2col-pack';
+import {createPackedMatmulProgramInfoLoader} from './matmul-pack';
+
+export const conv2DPackedPointwise =
+    (inferenceHandler: WebGLInferenceHandler, inputs: readonly Tensor[], attributes: ConvAttributes): Tensor => {
+      const xshape = inputs[0].dims;
+      const kshape = inputs[1].dims;
+      const outputShape =
+          calculateOutputShape(xshape, kshape, attributes.dilations, attributes.pads, attributes.strides);
+      const reshapedX = inferenceHandler.reshapePacked(inputs[0], [xshape[1], xshape[2] * xshape[3]]);
+      const reshapedK = inferenceHandler.reshapePacked(inputs[1], [kshape[0], kshape[1]]);
+
+      const matmulInputs = inputs.length > 2 ? [reshapedK, reshapedX, inputs[2]] : [reshapedK, reshapedX];
+      const matmulOutput = inferenceHandler.run(
+          createPackedMatmulProgramInfoLoader(inferenceHandler, matmulInputs, attributes), matmulInputs);
+      return inferenceHandler.reshapePacked(matmulOutput, outputShape);
+    };
+
+export const conv2DPacked =
+    (inferenceHandler: WebGLInferenceHandler, inputs: readonly Tensor[], attributes: ConvAttributes): Tensor => {
+      const xshape = inputs[0].dims;
+      const kshape = inputs[1].dims;
+      const outputShape =
+          calculateOutputShape(xshape, kshape, attributes.dilations, attributes.pads, attributes.strides);
+
+      // run im2col
+      const im2colOutput = inferenceHandler.run(
+          createPackedIm2ColProgramInfoLoader(inferenceHandler, inputs[0], inputs[1], outputShape, attributes),
+          [inputs[0]]);
+
+      // reshape kernel
+      const kernelReshaped = inferenceHandler.reshapePacked(inputs[1], [kshape[0], kshape[1] * kshape[2] * kshape[3]]);
+
+      // run matmul
+      const matmulInputs =
+          (inputs.length === 3) ? [kernelReshaped, im2colOutput, inputs[2]] : [kernelReshaped, im2colOutput];
+      const matmulOutput = inferenceHandler.run(
+          createPackedMatmulProgramInfoLoader(inferenceHandler, matmulInputs, attributes), matmulInputs);
+
+      // reshape output
+      const outputReshaped = inferenceHandler.reshapePacked(matmulOutput, outputShape);
+      return outputReshaped;
+    };