Table Of Contents
Table Of Contents

mxnet.ndarray.sparse.rint

mxnet.ndarray.sparse.rint(data=None, out=None, name=None, **kwargs)

Returns element-wise rounded value to the nearest integer of the input.

Note

  • For input n.5 rint returns n while round returns n+1.

  • For input -n.5 both rint and round returns -n-1.

Example:

rint([-1.5, 1.5, -1.9, 1.9, 2.1]) = [-2.,  1., -2.,  2.,  2.]

The storage type of rint output depends upon the input storage type:

  • rint(default) = default

  • rint(row_sparse) = row_sparse

  • rint(csr) = csr

Defined in src/operator/tensor/elemwise_unary_op_basic.cc:L735

Parameters

  • data (NDArray) – The input array.

  • out (NDArray, optional) – The output NDArray to hold the result.

Returns

out – The output of this function.

Return type

NDArray or list of NDArrays

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