/**
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* @license
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* Copyright 2018 Google Inc. 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 { Tensor } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Extracts a strided slice of a tensor.
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*
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* Roughly speaking, this op extracts a slice of size (end-begin)/stride from
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* the given input tensor (x). Starting at the location specified by begin the
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* slice continues by adding stride to the index until all dimensions are not
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* less than end. Note that a stride can be negative, which causes a reverse
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* slice.
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*
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* ```js
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* 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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* [3, 2, 3]);
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* t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print() // [[[3, 3, 3]]]
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* t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print() // [[[3, 3, 3],
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* // [4, 4, 4]]]
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* t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],
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* // [3, 3, 3]]]
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* ```
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*
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* @param x The tensor to stride slice.
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* @param begin The coordinates to start the slice from.
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* @param end: The coordinates to end the slice at.
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* @param strides: The size of the slice.
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* @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored
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* and the fullest possible range in that dimension is used instead.
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* @param endMask: If the ith bit of endMask is set, end[i] is ignored
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* and the fullest possible range in that dimension is used instead.
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* @param shrinkAxisMask: a bitmask where bit i implies that
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* the ith specification should shrink the dimensionality. begin and end must
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* imply a slice of size 1 in the dimension.
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*/
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/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */
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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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export declare const stridedSlice: typeof stridedSlice_;
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export {};
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