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| ``mx.nd.broadcast.add`` |
| ============================================== |
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| Description |
| ---------------------- |
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| Returns element-wise sum of the input arrays with broadcasting. |
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| `broadcast_plus` is an alias to the function `broadcast_add`. |
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| **Example**:: |
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| x = [[ 1., 1., 1.], |
| [ 1., 1., 1.]] |
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| y = [[ 0.], |
| [ 1.]] |
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| broadcast_add(x, y) = [[ 1., 1., 1.], |
| [ 2., 2., 2.]] |
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| broadcast_plus(x, y) = [[ 1., 1., 1.], |
| [ 2., 2., 2.]] |
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| Supported sparse operations: |
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| broadcast_add(csr, dense(1D)) = dense |
| broadcast_add(dense(1D), csr) = dense |
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| Arguments |
| ------------------ |
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| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``lhs`` | NDArray-or-Symbol. | |
| | | | |
| | | First input to the function | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``rhs`` | NDArray-or-Symbol. | |
| | | | |
| | | Second input to the function | |
| +----------------------------------------+------------------------------------------------------------+ |
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| Value |
| ---------- |
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| ``out`` The result mx.ndarray |
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| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/elemwise_binary_broadcast_op_basic.cc#L58 |
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