@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @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');
const inputs = { x: $x };
const attrs = {
begin,
end,
strides,
beginMask,
endMask,
ellipsisMask,
newAxisMask,
shrinkAxisMask
};
return ENGINE.runKernel(StridedSlice, inputs, attrs);
}
export const stridedSlice = op({ stridedSlice_ });
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