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mxnet.ndarray.sparse.add_n

mxnet.ndarray.sparse.add_n(*args, **kwargs)

Adds all input arguments element-wise.

\[add\_n(a_1, a_2, ..., a_n) = a_1 + a_2 + ... + a_n\]

add_n is potentially more efficient than calling add by n times.

The storage type of add_n output depends on storage types of inputs

• add_n(row_sparse, row_sparse, ..) = row_sparse

• add_n(default, csr, default) = default

• add_n(any input combinations longer than 4 (>4) with at least one default type) = default

• otherwise, add_n falls all inputs back to default storage and generates default storage

Defined in src/operator/tensor/elemwise_sum.cc:L156

Parameters

• args (NDArray[]) – Positional input arguments

• 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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