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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 { backend_util, Concat, util } from '@tensorflow/tfjs-core';
import { concatImpl } from './Concat_impl';
import { identity } from './Identity';
export function concat(args) {
    const { inputs, backend, attrs } = args;
    const { axis } = attrs;
    const $axis = util.parseAxisParam(axis, inputs[0].shape)[0];
    const shapes = inputs.map(t => t.shape);
    backend_util.assertParamsConsistent(shapes, $axis);
    const outShape = backend_util.computeOutShape(inputs.map(t => t.shape), $axis);
    if (util.sizeFromShape(outShape) === 0) {
        return backend.makeTensorInfo(outShape, inputs[0].dtype, []);
    }
    // Keep only non-empty tensors (ignore tensors with 0 in their shape).
    const $inputs = inputs.filter(t => util.sizeFromShape(t.shape) > 0);
    if ($inputs.length === 1) {
        return identity({ inputs: { x: $inputs[0] }, backend });
    }
    return concatImpl($inputs, $axis, backend);
}
export const concatConfig = {
    kernelName: Concat,
    backendName: 'webgl',
    kernelFunc: concat
};
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