@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @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 { ENGINE } from '../engine';
import { Pack } from '../kernel_names';
import { convertToTensorArray } from '../tensor_util_env';
import * as util from '../util';
import { op } from './operation';
/**
* Stacks a list of rank-`R` `tf.Tensor`s into one rank-`(R+1)` `tf.Tensor`.
*
* ```js
* const a = tf.tensor1d([1, 2]);
* const b = tf.tensor1d([3, 4]);
* const c = tf.tensor1d([5, 6]);
* tf.stack([a, b, c]).print();
* ```
*
* @param tensors A list of tensor objects with the same shape and dtype.
* @param axis The axis to stack along. Defaults to 0 (the first dim).
*
* @doc {heading: 'Tensors', subheading: 'Slicing and Joining'}
*/
function stack_(tensors, axis = 0) {
const $tensors = convertToTensorArray(tensors, 'tensors', 'stack', 'string_or_numeric');
util.assert($tensors.length >= 1, () => 'Pass at least one tensor to tf.stack');
if ($tensors.length > 0) {
util.assert(axis <= $tensors[0].rank, () => 'Axis must be <= rank of the tensor');
}
const inputs = $tensors;
const attrs = { axis };
return ENGINE.runKernel(Pack, inputs, attrs);
}
export const stack = op({ stack_ });
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