@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @license
* Copyright 2017 Google Inc. 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 {getCoordsDataType} from './shader_compiler';
export class PadProgram implements GPGPUProgram {
variableNames = ['x'];
outputShape: number[];
userCode: string;
constructor(
xShape: number[], paddings: Array<[number, number]>,
constantValue: number) {
this.outputShape = paddings.map(
(p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);
const rank = xShape.length;
const type = getCoordsDataType(rank);
const start = paddings.map(p => p[0]).join(',');
const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');
const unpackedCoords =
['coords[0]', 'coords[1]', 'coords[2]', 'coords[3]'].slice(0, rank);
if (rank === 1) {
this.userCode = `
int start = ${start};
int end = ${end};
void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
setOutput(float(${constantValue}));
} else {
setOutput(getX(outC - start));
}
}
`;
return;
}
this.userCode = `
${type} start = ${type}(${start});
${type} end = ${type}(${end});
void main() {
${type} outC = getOutputCoords();
if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
setOutput(float(${constantValue}));
} else {
${type} coords = outC - start;
setOutput(getX(${unpackedCoords}));
}
}
`;
}
}