@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @license
* Copyright 2019 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 * as concat_util from '../../ops/concat_util';
import {getChannels} from '../packing_util';
import {GPGPUProgram} from './gpgpu_math';
import {getCoordsDataType} from './shader_compiler';
export class ConcatPackedProgram implements GPGPUProgram {
variableNames: string[];
packedInputs = true;
packedOutput = true;
outputShape: number[] = [];
userCode: string;
constructor(shapes: number[][], axis: number) {
this.outputShape = concat_util.computeOutShape(shapes, axis);
const shape = this.outputShape;
const rank = shape.length;
const dtype = getCoordsDataType(rank);
const coords = getChannels('coords', rank);
const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank);
this.variableNames = shapes.map((_, i) => `T${i}`);
const offsets: number[] = new Array(shapes.length - 1);
offsets[0] = shapes[0][axis];
for (let i = 1; i < offsets.length; i++) {
offsets[i] = offsets[i - 1] + shapes[i][axis];
}
const channel = channels[axis];
const lastChannels = channels.slice(-2);
const allChannels = channels.join();
let getValueSnippet = `if (${channel} < ${offsets[0]}) {
return getChannel(
getT0(${allChannels}), vec2(${lastChannels.join()}));
}`;
for (let i = 1; i < offsets.length; i++) {
const shift = offsets[i - 1];
// Note: the >= comparison below may seem unnecessary given the check
// above but is needed to workaround branch execution issues on some
// devices. It makes all the conditions exclusive without relying on
// execution order.
getValueSnippet += `
if (${channel} < ${offsets[i]} && ${channel} >= ${offsets[i - 1]}) {
return getChannel(
getT${i}(${shiftedChannels(channels, channel, shift)}),
vec2(${shiftedChannels(lastChannels, channel, shift)}));
}`;
}
const lastIndex = offsets.length;
const shift = offsets[offsets.length - 1];
getValueSnippet += `
return getChannel(
getT${lastIndex}(${shiftedChannels(channels, channel, shift)}),
vec2(${shiftedChannels(lastChannels, channel, shift)}));`;
this.userCode = `
float getValue(${channels.map(x => 'int ' + x)}) {
${getValueSnippet}
}
void main() {
${dtype} coords = getOutputCoords();
vec4 result = vec4(getValue(${coords}), 0., 0., 0.);
${coords[rank - 1]} = ${coords[rank - 1]} + 1;
if (${coords[rank - 1]} < ${shape[rank - 1]}) {
result.g = getValue(${coords});
}
${coords[rank - 2]} = ${coords[rank - 2]} + 1;
if (${coords[rank - 2]} < ${shape[rank - 2]}) {
result.a = getValue(${coords});
}
${coords[rank - 1]} = ${coords[rank - 1]} - 1;
if (${coords[rank - 2]} < ${shape[rank - 2]} &&
${coords[rank - 1]} < ${shape[rank - 1]}) {
result.b = getValue(${coords});
}
setOutput(result);
}
`;
}
}
/**
* Return an expression for coordinates into a vector where a given channel
* will be offset by [shift].
*
* @param channels the channels to consider
* @param channel the channel we want shifted
* @param shift the amount to subtract from the channel.
*
* @returns a string of the form 'x, y-[shift], z' where any one channel can
* have the shift applied.
*/
function shiftedChannels(channels: string[], channel: string, shift: number) {
const channelIdx = channels.indexOf(channel);
const res = channels.map((c, idx) => {
if (idx === channelIdx) {
return `${c} - ${shift}`;
} else {
return c;
}
});
return res.join();
}