From 54ac622742eea223373e482dc0bbc02647835efa Mon Sep 17 00:00:00 2001
From: Zhaoming Jiang <zhaoming.jiang@intel.com>
Date: Fri, 1 Nov 2024 15:27:33 +0800
Subject: [PATCH] Remove unused getBroadcastDims

---
 js/web/lib/wasm/jsep/webgpu/ops/common.ts | 24 -----------------------
 1 file changed, 24 deletions(-)

diff --git a/js/web/lib/wasm/jsep/webgpu/ops/common.ts b/js/web/lib/wasm/jsep/webgpu/ops/common.ts
index f2057df533ca7..aeeafbccfb943 100644
--- a/js/web/lib/wasm/jsep/webgpu/ops/common.ts
+++ b/js/web/lib/wasm/jsep/webgpu/ops/common.ts
@@ -996,27 +996,3 @@ class ShaderHelperImpl implements ShaderHelper {
 
 export const createShaderHelper = (dispatchGroup: [number, number, number], limits: GPUSupportedLimits) =>
   new ShaderHelperImpl(dispatchGroup, limits);
-
-/**
- * This function comes from https://github.com/tensorflow/tfjs/blob/master/tfjs-core/src/ops/broadcast_util.ts#L18-L40
- * Returns the dimensions in the input shape that are broadcasted to
- * produce the provided output shape.
- *
- * The returned dimensions are 0-indexed and sorted. An example:
- * inShape = [4, 1, 3]
- * outShape = [5, 4, 3, 3]
- * result = [1]. Dimension 1 (2nd dimension of input) gets broadcasted 1 => 3.
- */
-export const getBroadcastDims = (inShape: readonly number[], outShape: readonly number[]): number[] => {
-  const inRank = inShape.length;
-  const dims: number[] = [];
-  for (let i = 0; i < inRank; i++) {
-    const dim = inRank - 1 - i;
-    const a = inShape[dim] || 1;
-    const b = outShape[outShape.length - 1 - i] || 1;
-    if (b > 1 && a === 1) {
-      dims.unshift(dim);
-    }
-  }
-  return dims;
-};