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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 { StridedSlice } from '../kernel_names';
| import { convertToTensor } from '../tensor_util_env';
| import { op } from './operation';
| /**
| * Extracts a strided slice of a tensor.
| *
| * Roughly speaking, this op extracts a slice of size (end-begin)/stride from
| * the given input tensor (x). Starting at the location specified by begin the
| * slice continues by adding stride to the index until all dimensions are not
| * less than end. Note that a stride can be negative, which causes a reverse
| * slice.
| *
| * ```js
| * const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],
| * [3, 2, 3]);
| * t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print() // [[[3, 3, 3]]]
| * t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print() // [[[3, 3, 3],
| * // [4, 4, 4]]]
| * t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],
| * // [3, 3, 3]]]
| * ```
| *
| * @param x The tensor to stride slice.
| * @param begin The coordinates to start the slice from.
| * @param end: The coordinates to end the slice at.
| * @param strides: The size of the slice.
| * @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored
| * and the fullest possible range in that dimension is used instead.
| * @param endMask: If the ith bit of endMask is set, end[i] is ignored
| * and the fullest possible range in that dimension is used instead.
| * @param shrinkAxisMask: a bitmask where bit i implies that
| * the ith specification should shrink the dimensionality. begin and end must
| * imply a slice of size 1 in the dimension.
| *
| * @doc {heading: 'Operations', subheading: 'Slicing and Joining'}
| */
| function stridedSlice_(x, begin, end, strides, beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0, shrinkAxisMask = 0) {
| const $x = convertToTensor(x, 'x', 'stridedSlice', 'string_or_numeric');
| const inputs = { x: $x };
| const attrs = {
| begin,
| end,
| strides,
| beginMask,
| endMask,
| ellipsisMask,
| newAxisMask,
| shrinkAxisMask
| };
| return ENGINE.runKernel(StridedSlice, inputs, attrs);
| }
| export const stridedSlice = /* @__PURE__ */ op({ stridedSlice_ });
| //# 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