/// <amd-module name="@tensorflow/tfjs-core/dist/ops/concat_1d" />
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/**
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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 { Tensor1D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Concatenates a list of`tf.Tensor1D`s along an axis. See `concat` for details.
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*
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* For example, if:
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* A: shape(3) = |r1, g1, b1|
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* B: shape(2) = |r2, g2|
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* C = tf.concat1d([A, B]) == |r1, g1, b1, r2, g2|
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*
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* @param tensors A list of`tf.Tensor`s to concatenate.
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* @return The concatenated array.
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*/
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declare function concat1d_(tensors: Array<Tensor1D | TensorLike>): Tensor1D;
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export declare const concat1d: typeof concat1d_;
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export {};
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