| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2018 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/strided_slice" />
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| 18 | import { Tensor } from '../tensor';
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| 19 | import { TensorLike } from '../types';
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| 20 | /**
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| 21 | * Extracts a strided slice of a tensor.
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| 22 | *
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| 23 | * Roughly speaking, this op extracts a slice of size (end-begin)/stride from
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| 24 | * the given input tensor (x). Starting at the location specified by begin the
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| 25 | * slice continues by adding stride to the index until all dimensions are not
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| 26 | * less than end. Note that a stride can be negative, which causes a reverse
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| 27 | * slice.
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| 28 | *
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| 29 | * ```js
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| 30 | * const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],
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| 31 | * [3, 2, 3]);
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| 32 | * t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print() // [[[3, 3, 3]]]
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| 33 | * t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print() // [[[3, 3, 3],
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| 34 | * // [4, 4, 4]]]
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| 35 | * t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],
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| 36 | * // [3, 3, 3]]]
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| 37 | * ```
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| 38 | *
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| 39 | * @param x The tensor to stride slice.
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| 40 | * @param begin The coordinates to start the slice from.
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| 41 | * @param end: The coordinates to end the slice at.
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| 42 | * @param strides: The size of the slice.
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| 43 | * @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored
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| 44 | * and the fullest possible range in that dimension is used instead.
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| 45 | * @param endMask: If the ith bit of endMask is set, end[i] is ignored
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| 46 | * and the fullest possible range in that dimension is used instead.
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| 47 | * @param shrinkAxisMask: a bitmask where bit i implies that
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| 48 | * the ith specification should shrink the dimensionality. begin and end must
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| 49 | * imply a slice of size 1 in the dimension.
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| 50 | *
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| 51 | * @doc {heading: 'Operations', subheading: 'Slicing and Joining'}
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| 52 | */
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| 53 | declare function stridedSlice_(x: Tensor | TensorLike, begin: number[], end: number[], strides?: number[], beginMask?: number, endMask?: number, ellipsisMask?: number, newAxisMask?: number, shrinkAxisMask?: number): Tensor;
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| 54 | export declare const stridedSlice: typeof stridedSlice_;
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| 55 | export {};
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