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.js

@@ -0,0 +1,36 @@
+"use strict";
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.conv2DPacked = exports.conv2DPackedPointwise = void 0;
+const conv_1 = require("./conv");
+const im2col_pack_1 = require("./im2col-pack");
+const matmul_pack_1 = require("./matmul-pack");
+const conv2DPackedPointwise = (inferenceHandler, inputs, attributes) => {
+    const xshape = inputs[0].dims;
+    const kshape = inputs[1].dims;
+    const outputShape = (0, conv_1.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((0, matmul_pack_1.createPackedMatmulProgramInfoLoader)(inferenceHandler, matmulInputs, attributes), matmulInputs);
+    return inferenceHandler.reshapePacked(matmulOutput, outputShape);
+};
+exports.conv2DPackedPointwise = conv2DPackedPointwise;
+const conv2DPacked = (inferenceHandler, inputs, attributes) => {
+    const xshape = inputs[0].dims;
+    const kshape = inputs[1].dims;
+    const outputShape = (0, conv_1.calculateOutputShape)(xshape, kshape, attributes.dilations, attributes.pads, attributes.strides);
+    // run im2col
+    const im2colOutput = inferenceHandler.run((0, im2col_pack_1.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((0, matmul_pack_1.createPackedMatmulProgramInfoLoader)(inferenceHandler, matmulInputs, attributes), matmulInputs);
+    // reshape output
+    const outputReshaped = inferenceHandler.reshapePacked(matmulOutput, outputShape);
+    return outputReshaped;
+};
+exports.conv2DPacked = conv2DPacked;
+//# sourceMappingURL=conv-pack.js.map