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@tensorflow/tfjs-converter

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Tensorflow model converter for javascript

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/** * @license * Copyright 2018 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. * ============================================================================= */ // tslint:disable-next-line: no-imports-from-dist import * as tfOps from '@tensorflow/tfjs-core/dist/ops/ops_for_converter'; import { getParamValue } from './utils'; export const executeOp = (node, tensorMap, context) => { switch (node.op) { case 'FFT': { return [tfOps.fft(getParamValue('x', node, tensorMap, context))]; } case 'IFFT': { return [tfOps.ifft(getParamValue('x', node, tensorMap, context))]; } case 'RFFT': { return [tfOps.rfft(getParamValue('x', node, tensorMap, context))]; } case 'IRFFT': { return [tfOps.irfft(getParamValue('x', node, tensorMap, context))]; } default: throw TypeError(`Node type ${node.op} is not implemented`); } }; export const CATEGORY = 'spectral'; //# sourceMappingURL=data:application/json;base64,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