# mx.symbol.slice¶

## Description¶

Slices a region of the array.

Note

crop is deprecated. Use slice instead.

This function returns a sliced array between the indices given by begin and end with the corresponding step. For an input array of shape=(d_0, d_1, ..., d_n-1), slice operation with begin=(b_0, b_1...b_m-1), end=(e_0, e_1, ..., e_m-1), and step=(s_0, s_1, ..., s_m-1), where m <= n, results in an array with the shape (|e_0-b_0|/|s_0|, ..., |e_m-1-b_m-1|/|s_m-1|, d_m, ..., d_n-1). The resulting array’s k-th dimension contains elements from the k-th dimension of the input array starting from index b_k (inclusive) with step s_k until reaching e_k (exclusive). If the k-th elements are None in the sequence of begin, end, and step, the following rule will be used to set default values. If s_k is None, set s_k=1. If s_k > 0, set b_k=0, e_k=d_k; else, set b_k=d_k-1, e_k=-1. The storage type of slice output depends on storage types of inputs - slice(csr) = csr - otherwise, slice generates output with default storage

Note

When input data storage type is csr, it only supports

step=(), or step=(None,), or step=(1,) to generate a csr output. For other step parameter values, it falls back to slicing a dense tensor.

Example:

x = [[  1.,   2.,   3.,   4.],
[  5.,   6.,   7.,   8.],
[  9.,  10.,  11.,  12.]]
slice(x, begin=(0,1), end=(2,4)) = [[ 2.,  3.,  4.],
[ 6.,  7.,  8.]]
slice(x, begin=(None, 0), end=(None, 3), step=(-1, 2)) = [[9., 11.],
[5.,  7.],
[1.,  3.]]


## Usage¶

mx.symbol.slice(...)


## Arguments¶

Argument

Description

data

NDArray-or-Symbol.

Source input

begin

Shape(tuple), required.

starting indices for the slice operation, supports negative indices.

end

Shape(tuple), required.

ending indices for the slice operation, supports negative indices.

step

Shape(tuple), optional, default=[].

step for the slice operation, supports negative values.

name

string, optional.

Name of the resulting symbol.

## Value¶

out The result mx.symbol