gx

chenyc

2025-06-12 7b72ac13a83764a662159d4a49b7fffb90476ecb

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/**
 * @license
 * Copyright 2020 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.
 * =============================================================================
 */
import { OnesLike } from '@tensorflow/tfjs-core';
import { complex } from './Complex';
import { fill } from './Fill';
import { imag } from './Imag';
import { real } from './Real';
import { zerosLike } from './ZerosLike';
export function onesLike(args) {
    const { inputs, backend } = args;
    const { x } = inputs;
    if (x.dtype === 'string') {
        throw new Error('onesLike is not supported for string tensors');
    }
    else if (x.dtype === 'complex64') {
        const realPart = real({ inputs: { input: x }, backend });
        const r = onesLike({ inputs: { x: realPart }, backend });
        const imagPart = imag({ inputs: { input: x }, backend });
        const i = zerosLike({ inputs: { x: imagPart }, backend });
        const result = complex({ inputs: { real: r, imag: i }, backend });
        backend.disposeIntermediateTensorInfo(realPart);
        backend.disposeIntermediateTensorInfo(r);
        backend.disposeIntermediateTensorInfo(imagPart);
        backend.disposeIntermediateTensorInfo(i);
        return result;
    }
    else {
        return fill({ backend, attrs: { shape: x.shape, value: 1, dtype: x.dtype } });
    }
}
export const onesLikeConfig = {
    kernelName: OnesLike,
    backendName: 'cpu',
    kernelFunc: onesLike
};
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