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| ``mx.symbol.add_n`` |
| ====================================== |
| |
| Description |
| ---------------------- |
| |
| Adds all input arguments element-wise. |
| |
| .. math:: |
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| add\_n(a_1, a_2, ..., a_n) = a_1 + a_2 + ... + a_n |
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| ``add_n`` is potentially more efficient than calling ``add`` by `n` times. |
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| 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 |
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| Usage |
| ---------- |
| |
| .. code:: r |
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| mx.symbol.add_n(...) |
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| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``args`` | NDArray-or-Symbol[]. | |
| | | | |
| | | Positional input arguments | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``name`` | string, optional. | |
| | | | |
| | | Name of the resulting symbol. | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
| |
| ``out`` The result mx.symbol |
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| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/elemwise_sum.cc#L155 |
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