UNPKG

@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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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 {ENGINE} from '../engine'; import {Unpack, UnpackAttrs, UnpackInputs} from '../kernel_names'; import {NamedAttrMap} from '../kernel_registry'; import {Tensor} from '../tensor'; import {NamedTensorMap} from '../tensor_types'; import {convertToTensor} from '../tensor_util_env'; import {TensorLike} from '../types'; import * as util from '../util'; import {op} from './operation'; /** * Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s. * * ```js * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]); * * tf.unstack(a).forEach(tensor => tensor.print()); * ``` * * @param x A tensor object. * @param axis The axis to unstack along. Defaults to 0 (the first dim). * * @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */ function unstack_(x: Tensor|TensorLike, axis = 0): Tensor[] { const $x = convertToTensor(x, 'x', 'unstack', 'string_or_numeric'); util.assert( axis >= -$x.shape.length && axis < $x.shape.length, () => `Axis = ${axis} is not in [-${$x.shape.length}, ${$x.shape.length})`); const inputs: UnpackInputs = {value: $x}; const attrs: UnpackAttrs = {axis}; return ENGINE.runKernel( Unpack, inputs as {} as NamedTensorMap, attrs as {} as NamedAttrMap); } export const unstack = op({unstack_});