onnxruntime

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/**
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 * @license
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 * Copyright 2020 Google LLC. All Rights Reserved.
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 * Licensed under the Apache License, Version 2.0 (the "License");
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 * you may not use this file except in compliance with the License.
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 * You may obtain a copy of the License at
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 *
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 * http://www.apache.org/licenses/LICENSE-2.0
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 *
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 * Unless required by applicable law or agreed to in writing, software
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 * distributed under the License is distributed on an "AS IS" BASIS,
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 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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 * See the License for the specific language governing permissions and
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 * limitations under the License.
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 * =============================================================================
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 */
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// sampled from [@tensorflow/tfjs] tfjs-core/src/ops/conv_util.ts
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//
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// modified to fit the needs of the project
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export const utilFunctions = (strideStr: string) => `
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fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
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  return dot(coords, vec4<i32>(
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      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
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}
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fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
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  return dot(coords, vec4<i32>(
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    i32(${strideStr}.x), i32(${strideStr}.y), i32(${strideStr}.z), 1));
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}
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`;
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