mx.nd.broadcast.axes¶
Description¶
Broadcasts the input array over particular axes.
Broadcasting is allowed on axes with size 1, such as from (2,1,3,1) to (2,8,3,9). Elements will be duplicated on the broadcasted axes.
broadcast_axes is an alias to the function broadcast_axis.
Example:
// given x of shape (1,2,1)
x = [[[ 1.],
[ 2.]]]
// broadcast x on on axis 2
broadcast_axis(x, axis=2, size=3) = [[[ 1., 1., 1.],
[ 2., 2., 2.]]]
// broadcast x on on axes 0 and 2
broadcast_axis(x, axis=(0,2), size=(2,3)) = [[[ 1., 1., 1.],
[ 2., 2., 2.]],
[[ 1., 1., 1.],
[ 2., 2., 2.]]]
Arguments¶
Argument |
Description |
|---|---|
|
NDArray-or-Symbol. The input |
|
Shape(tuple), optional, default=[]. The axes to perform the broadcasting. |
|
Shape(tuple), optional, default=[]. Target sizes of the broadcasting axes. |
Value¶
out The result mx.ndarray
Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/broadcast_reduce_op_value.cc#L58