mx.symbol.reshape_like
¶
Description¶
Reshape some or all dimensions of lhs to have the same shape as some or all dimensions of rhs.
Returns a view of the lhs array with a new shape without altering any data.
Example:
x = [1, 2, 3, 4, 5, 6]
y = [[0, -4], [3, 2], [2, 2]]
reshape_like(x, y) = [[1, 2], [3, 4], [5, 6]]
More precise control over how dimensions are inherited is achieved by specifying \
slices over the `lhs` and `rhs` array dimensions. Only the sliced `lhs` dimensions \
are reshaped to the `rhs` sliced dimensions, with the non-sliced `lhs` dimensions staying the same.
Example:
- lhs shape = (30,7), rhs shape = (15,2,4), lhs_begin=0, lhs_end=1, rhs_begin=0, rhs_end=2, output shape = (15,2,7)
- lhs shape = (3, 5), rhs shape = (1,15,4), lhs_begin=0, lhs_end=2, rhs_begin=1, rhs_end=2, output shape = (15)
Negative indices are supported, and `None` can be used for either `lhs_end` or `rhs_end` to indicate the end of the range.
Example:
- lhs shape = (30, 12), rhs shape = (4, 2, 2, 3), lhs_begin=-1, lhs_end=None, rhs_begin=1, rhs_end=None, output shape = (30, 2, 2, 3)
Usage¶
mx.symbol.reshape_like(...)
Arguments¶
Argument |
Description |
---|---|
|
NDArray-or-Symbol. First input. |
|
NDArray-or-Symbol. Second input. |
|
int or None, optional, default=’None’. Defaults to 0. The beginning index along which the lhs dimensions are to be reshaped. Supports negative indices. |
|
int or None, optional, default=’None’. Defaults to None. The ending index along which the lhs dimensions are to be used for reshaping. Supports negative indices. |
|
int or None, optional, default=’None’. Defaults to 0. The beginning index along which the rhs dimensions are to be used for reshaping. Supports negative indices. |
|
int or None, optional, default=’None’. Defaults to None. The ending index along which the rhs dimensions are to be used for reshaping. Supports negative indices. |
|
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_unary_op_basic.cc#L513