UNPKG

@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2019 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 {getChannels} from '../packing_util'; import {GPGPUProgram} from './gpgpu_math'; import {getCoordsDataType} from './shader_compiler'; export class ReversePackedProgram implements GPGPUProgram { variableNames = ['x']; outputShape: number[]; userCode: string; usesPackedTextures = true; constructor(xShape: number[], axis: number[]) { const rank = xShape.length; if (rank > 4) { throw new Error( `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`); } this.outputShape = xShape; const channels = getChannels('rc', rank); const nextColumn = `${channels[rank - 1]} + 1 < ${this.outputShape[rank - 1]}`; const nextRow = `${channels[rank - 2]} + 1 < ${this.outputShape[rank - 2]}`; const type = getCoordsDataType(rank); if (rank === 1) { this.userCode = ` void main(){ int rc = getOutputCoords(); vec4 result = vec4(0.); result.r = getChannel(getX(${xShape[0]} - rc - 1), ${xShape[0]} - rc - 1); if(${nextColumn}){ result.g = getChannel(getX(${xShape[0]} - (rc + 1) - 1), ${xShape[0]} - (rc + 1) - 1); } setOutput(result); } `; } else { this.userCode = ` void main() { ${type} rc = getOutputCoords(); vec4 result = vec4(0.); result.r = ${getR(channels.slice())}; if(${nextColumn}){ result.g = ${getG(channels.slice())}; } if(${nextRow}) { result.b = ${getB(channels.slice())}; if(${nextColumn}) { result.a = ${getA(channels.slice())}; } } setOutput(result); } `; } function getR(channels: string[]): string { return getChannel(channels); } function getG(channels: string[]): string { channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`; return getChannel(channels); } function getB(channels: string[]): string { channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`; return getChannel(channels); } function getA(channels: string[]): string { channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`; channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`; return getChannel(channels); } function getChannel(channels: string[]): string { const inCoordsArray = xShape.map((_, i) => getInCoord(i, channels)); const inCoords = inCoordsArray.join(','); const innerDims = inCoordsArray.slice(-2).join(','); return `getChannel(getX(${inCoords}), vec2(${innerDims}))`; } function getInCoord(i: number, channels1: string[]): string { if (axis.indexOf(i) !== -1 && xShape[i] !== 1) { return `${xShape[i]} - ${channels1[i]} - 1`; } else { return `${channels1[i]}`; } } } }