@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @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]}`;
}
}
}
}