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slice.ts
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slice.ts
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/**
* @license
* Copyright 2018 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 {Slice, SliceAttrs, SliceInputs} from '../kernel_names';
import {NamedAttrMap} from '../kernel_registry';
import {Tensor} from '../tensor';
import {NamedTensorMap} from '../tensor_types';
import {convertToTensor} from '../tensor_util_env';
import {Rank, TensorLike} from '../types';
import {op} from './operation';
/**
* Extracts a slice from a `tf.Tensor` starting at coordinates `begin`
* and is of size `size`.
*
* Also available are stricter rank-specific methods with the same signature
* as this method that assert that `x` is of the given rank:
* - `tf.slice1d`
* - `tf.slice2d`
* - `tf.slice3d`
* - `tf.slice4d`
*
* ```js
* const x = tf.tensor1d([1, 2, 3, 4]);
*
* x.slice([1], [2]).print();
* ```
*
* ```js
* const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
*
* x.slice([1, 0], [1, 2]).print();
* ```
* @param x The input `tf.Tensor` to slice from.
* @param begin The coordinates to start the slice from. The length can be
* less than the rank of x - the rest of the axes will have implicit 0 as
* start. Can also be a single number, in which case it specifies the
* first axis.
* @param size The size of the slice. The length can be less than the rank of
* x - the rest of the axes will have implicit -1. A value of -1 requests
* the rest of the dimensions in the axis. Can also be a single number,
* in which case it specifies the size of the first axis.
*
* @doc {heading: 'Tensors', subheading: 'Slicing and Joining'}
*/
function slice_<R extends Rank, T extends Tensor<R>>(
x: T|TensorLike, begin: number|number[], size?: number|number[]): T {
const $x = convertToTensor(x, 'x', 'slice', 'string_or_numeric');
if ($x.rank === 0) {
throw new Error('Slicing scalar is not possible');
}
const inputs: SliceInputs = {x: $x};
const attrs: SliceAttrs = {begin, size};
return ENGINE.runKernel(
Slice, inputs as unknown as NamedTensorMap,
attrs as unknown as NamedAttrMap);
}
export const slice = /* @__PURE__ */ op({slice_});