gx

chenyc

2025-06-12 7b72ac13a83764a662159d4a49b7fffb90476ecb

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/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import { backend_util, env, util } from '@tensorflow/tfjs-core';
import { ArgMinMaxProgram } from '../argminmax_gpu';
import { ArgMinMaxPackedProgram } from '../argminmax_packed_gpu';
import { reshape } from '../kernels/Reshape';
function argReduce(backend, x, reduceType, bestIndicesA = null) {
    let batchSize = x.shape[0];
    let inSize = x.shape[1];
    if (bestIndicesA != null) {
        batchSize = bestIndicesA.shape[0];
        inSize = bestIndicesA.shape[1];
    }
    const windowSize = backend_util.computeOptimalWindowSize(inSize);
    const reduceInfo = { windowSize, inSize, batchSize, outSize: Math.ceil(inSize / windowSize) };
    const program = new ArgMinMaxProgram(reduceInfo, reduceType, bestIndicesA == null);
    const inputs = [x];
    if (bestIndicesA != null) {
        inputs.push(bestIndicesA);
    }
    const output = backend.runWebGLProgram(program, inputs, 'int32');
    // No need to run another GPGPU program.
    if (output.shape[1] === 1) {
        return output;
    }
    const result = argReduce(backend, x, reduceType, output);
    backend.disposeIntermediateTensorInfo(output);
    return result;
}
function argReducePacked(backend, x, reduceType, bestIndicesA = null) {
    const inShape = bestIndicesA != null ? bestIndicesA.shape : x.shape;
    const inSize = inShape[inShape.length - 1];
    const windowSize = backend_util.computeOptimalWindowSize(inSize);
    const program = new ArgMinMaxPackedProgram(inShape, windowSize, reduceType, bestIndicesA == null);
    const inputs = bestIndicesA == null ? [x] : [x, bestIndicesA];
    const output = backend.runWebGLProgram(program, inputs, 'int32');
    if (output.shape.length === x.shape.length) {
        const result = argReducePacked(backend, x, reduceType, output);
        backend.disposeIntermediateTensorInfo(output);
        return result;
    }
    return output;
}
export function argMinMaxReduce(backend, x, axis, reduceType) {
    const axes = [axis];
    backend_util.assertAxesAreInnerMostDims('arg' + reduceType.charAt(0).toUpperCase() + reduceType.slice(1), axes, x.shape.length);
    if (!env().getBool('WEBGL_PACK_REDUCE') || x.shape.length <= 2) {
        const intermediateTensorInfos = [];
        // Eagerly unpack x input since it is passed in to all the shaders which
        // require unpacked inputs.
        const xtexData = backend.texData.get(x.dataId);
        const xIsPacked = xtexData !== null && xtexData.isPacked;
        let xUnPacked = x;
        if (xIsPacked) {
            xUnPacked = backend.unpackTensor(x);
            intermediateTensorInfos.push(xUnPacked);
        }
        const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes(xUnPacked.shape, axes);
        const inSize = util.sizeFromShape(reduceShape);
        const a2D = reshape({ inputs: { x: xUnPacked }, backend, attrs: { shape: [-1, inSize] } });
        intermediateTensorInfos.push(a2D);
        const reduced = argReduce(backend, a2D, reduceType);
        intermediateTensorInfos.push(reduced);
        const reshaped = reshape({ inputs: { x: reduced }, backend, attrs: { shape: outShape } });
        intermediateTensorInfos.forEach(t => backend.disposeIntermediateTensorInfo(t));
        return reshaped;
    }
    return argReducePacked(backend, x, reduceType);
}
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, env, TensorInfo, util} from '@tensorflow/tfjs-core';\n\nimport {ArgMinMaxProgram} from '../argminmax_gpu';\nimport {ArgMinMaxPackedProgram} from '../argminmax_packed_gpu';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {reshape} from '../kernels/Reshape';\n\nfunction argReduce(\n    backend: MathBackendWebGL, x: TensorInfo, reduceType: 'max'|'min',\n    bestIndicesA: TensorInfo = null): TensorInfo {\n  let batchSize = x.shape[0];\n  let inSize = x.shape[1];\n  if (bestIndicesA != null) {\n    batchSize = bestIndicesA.shape[0];\n    inSize = bestIndicesA.shape[1];\n  }\n  const windowSize = backend_util.computeOptimalWindowSize(inSize);\n  const reduceInfo =\n      {windowSize, inSize, batchSize, outSize: Math.ceil(inSize / windowSize)};\n  const program =\n      new ArgMinMaxProgram(reduceInfo, reduceType, bestIndicesA == null);\n  const inputs = [x];\n  if (bestIndicesA != null) {\n    inputs.push(bestIndicesA);\n  }\n  const output = backend.runWebGLProgram(program, inputs, 'int32');\n  // No need to run another GPGPU program.\n  if (output.shape[1] === 1) {\n    return output;\n  }\n  const result = argReduce(backend, x, reduceType, output);\n  backend.disposeIntermediateTensorInfo(output);\n  return result;\n}\n\nfunction argReducePacked(\n    backend: MathBackendWebGL, x: TensorInfo, reduceType: 'max'|'min',\n    bestIndicesA: TensorInfo = null): TensorInfo {\n  const inShape = bestIndicesA != null ? bestIndicesA.shape : x.shape;\n  const inSize = inShape[inShape.length - 1];\n  const windowSize = backend_util.computeOptimalWindowSize(inSize);\n  const program = new ArgMinMaxPackedProgram(\n      inShape, windowSize, reduceType, bestIndicesA == null);\n  const inputs = bestIndicesA == null ? [x] : [x, bestIndicesA];\n  const output = backend.runWebGLProgram(program, inputs, 'int32');\n  if (output.shape.length === x.shape.length) {\n    const result = argReducePacked(backend, x, reduceType, output);\n    backend.disposeIntermediateTensorInfo(output);\n    return result;\n  }\n  return output;\n}\n\nexport function argMinMaxReduce(\n    backend: MathBackendWebGL, x: TensorInfo, axis: number,\n    reduceType: 'min'|'max'): TensorInfo {\n  const axes = [axis];\n  backend_util.assertAxesAreInnerMostDims(\n      'arg' + reduceType.charAt(0).toUpperCase() + reduceType.slice(1), axes,\n      x.shape.length);\n  if (!env().getBool('WEBGL_PACK_REDUCE') || x.shape.length <= 2) {\n    const intermediateTensorInfos = [];\n    // Eagerly unpack x input since it is passed in to all the shaders which\n    // require unpacked inputs.\n    const xtexData = backend.texData.get(x.dataId);\n    const xIsPacked = xtexData !== null && xtexData.isPacked;\n    let xUnPacked = x;\n    if (xIsPacked) {\n      xUnPacked = backend.unpackTensor(x);\n      intermediateTensorInfos.push(xUnPacked);\n    }\n\n    const [outShape, reduceShape] =\n        backend_util.computeOutAndReduceShapes(xUnPacked.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = reshape(\n        {inputs: {x: xUnPacked}, backend, attrs: {shape: [-1, inSize]}});\n    intermediateTensorInfos.push(a2D);\n\n    const reduced = argReduce(backend, a2D, reduceType);\n    intermediateTensorInfos.push(reduced);\n    const reshaped =\n        reshape({inputs: {x: reduced}, backend, attrs: {shape: outShape}});\n\n    intermediateTensorInfos.forEach(\n        t => backend.disposeIntermediateTensorInfo(t));\n    return reshaped;\n  }\n  return argReducePacked(backend, x, reduceType);\n}\n"]}