/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import {KernelConfig, Range, RangeAttrs, scalar, zeros} from '@tensorflow/tfjs';
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import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
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export const rangeConfig: KernelConfig = {
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kernelName: Range,
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backendName: 'tensorflow',
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kernelFunc: (args) => {
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const backend = args.backend as NodeJSKernelBackend;
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const {start, stop, dtype} = args.attrs as unknown as RangeAttrs;
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let {step} = args.attrs as unknown as RangeAttrs;
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// TensorFlow.js specific allowances
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const sameStartStop = start === stop;
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const increasingRangeNegativeStep = start < stop && step < 0;
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const decreasingRangePositiveStep = stop < start && step > 1;
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if (sameStartStop || increasingRangeNegativeStep ||
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decreasingRangePositiveStep) {
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return zeros([0], dtype);
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}
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if (stop < start && step === 1) {
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// Auto adjust the step's sign if it hasn't been set
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// (or was set to 1)
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step = -1;
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}
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const opAttrs = [createTensorsTypeOpAttr('Tidx', dtype)];
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const startTensor = scalar(start, dtype);
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const stopTensor = scalar(stop, dtype);
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const stepTensor = scalar(step, dtype);
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const res = backend.executeSingleOutput(
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Range, opAttrs, [startTensor, stopTensor, stepTensor]);
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startTensor.dispose();
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stopTensor.dispose();
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stepTensor.dispose();
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return res;
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}
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};
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