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mirror_pad_packed_gpu.ts
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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 {GPGPUProgram} from './gpgpu_math';
import {getChannels} from './packing_util';
import {getCoordsDataType} from './shader_compiler';
/**
* Example shader code for
* `mirrorPad(tf.tensor1d([1, 2, 3], 'int32'), [[2, 2]], 'reflect')`
* ```
* const int start = int(2);
* const int end = int(5);
*
* void main() {
* int outputLoc = getOutputCoords();
* vec4 result = vec4(0.);
*
* int rc = outputLoc;
*
* int source = rc;
* if (source < start) {
* source = start * 2 - source - 0;
* } else if (source >= end) {
* source = (end - 1) * 2 - source + 0;
* }
* source -= start;
*
* result[0] = getChannel(getX(source), source);
* rc += 1;
* if(rc < 6) {
* int source = rc;
* if (source < start) {
* source = start * 2 - source - 0;
* } else if (source >= end) {
* source = (end - 1) * 2 - source + 0;
* }
* source -= start;
*
* result[1] = getChannel(getX(source), source);
* }
*
* setOutput(result);
* }
* ```
*/
export class MirrorPadPackedProgram implements GPGPUProgram {
variableNames = ['x'];
packedInputs = true;
packedOutput = true;
outputShape: number[];
userCode: string;
constructor(
xShape: number[], paddings: Array<[number, number]>,
mode: 'reflect'|'symmetric') {
this.outputShape = paddings.map(
(p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);
const rank = xShape.length;
const dtype = getCoordsDataType(rank);
const start = paddings.map(p => p[0]).join(',');
const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');
const coords = getChannels('rc', rank);
const source = getChannels('source', rank);
const cLimit = `${coords[rank - 1]} < ${this.outputShape[rank - 1]}`;
const innerDims =
rank === 1 ? 'source' : `vec2(${source.slice(-2).join()})`;
const offset = mode === 'reflect' ? 0 : 1;
let mainLoop = '';
if (rank === 1) {
const padSetup = `
${dtype} source = rc;
if (source < start) {
source = start * 2 - source - ${offset};
} else if (source >= end) {
source = (end - 1) * 2 - source + ${offset};
}
source -= start;
`;
mainLoop = `
${dtype} rc = outputLoc;
${padSetup}
result[0] = getChannel(getX(${source.join()}), ${innerDims});
${coords[rank - 1]} += 1;
if(${cLimit}) {
${padSetup}
result[1] = getChannel(getX(${source.join()}), ${innerDims});
}
`;
} else {
const padSetup = `
${dtype} source = rc;
${dtype} lt = ${dtype}(lessThan(source, start));
${dtype} gte = ${dtype}(greaterThanEqual(source, end));
${dtype} orig = 1 - (lt + gte);
source = orig * source +
lt * (start * 2 - source - ${offset}) +
gte * ((end - 1) * 2 - source + ${offset});
source -= start;
`;
mainLoop = `
${dtype} rc = outputLoc;
${padSetup}
result[0] = getChannel(getX(${source.join()}), ${innerDims});
${coords[rank - 1]} += 1;
if(${cLimit}) {
${padSetup}
result[1] = getChannel(getX(${source.join()}), ${innerDims});
}
rc = outputLoc;
${coords[rank - 2]} += 1;
if(${coords[rank - 2]} < ${this.outputShape[rank - 2]}) {
${padSetup}
result[2] = getChannel(getX(${source.join()}), ${innerDims});
${coords[rank - 1]} += 1;
if(${cLimit}) {
${padSetup}
result[3] = getChannel(getX(${source.join()}), ${innerDims});
}
}
`;
}
this.userCode = `
const ${dtype} start = ${dtype}(${start});
const ${dtype} end = ${dtype}(${end});
void main() {
${dtype} outputLoc = getOutputCoords();
vec4 result = vec4(0.);
${mainLoop}
setOutput(result);
}
`;
}
}