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