@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 StridedSliceProgram implements GPGPUProgram {
variableNames = ['x'];
outputShape: number[];
userCode: string;
constructor(
begin: number[], strides: number[], size: number[],
shrinkAxis: number[]) {
const shape = size.filter((v, index) => shrinkAxis.indexOf(index) === -1);
this.outputShape = shape;
const rank = size.length;
const inputDtype = getCoordsDataType(size.length);
const dtype = getCoordsDataType(shape.length);
let newCoords = '';
if (rank === 1) {
newCoords = 'coords * strides + begin';
} else {
let outputAxis = 0;
newCoords =
size.map((_, i) => {
if (shrinkAxis.indexOf(i) === -1) {
outputAxis++;
return shape.length === 1 ?
`coords * strides[${i}] + begin[${i}]` :
`coords[${outputAxis - 1}] * strides[${i}] + begin[${i}]`;
} else {
return `begin[${i}]`;
}
})
.join(',');
}
this.userCode = `
${inputDtype} begin = ${inputDtype}(${begin});
${inputDtype} strides = ${inputDtype}(${strides});
void main() {
${dtype} coords = getOutputCoords();
setOutput(getX(${newCoords}));
}
`;
}
}