| |
| |
| ``mx.nd.tile`` |
| ============================ |
| |
| Description |
| ---------------------- |
| |
| Repeats the whole array multiple times. |
| If ``reps`` has length *d*, and input array has dimension of *n*. There are |
| three cases: |
| - **n=d**. Repeat *i*-th dimension of the input by ``reps[i]`` times:: |
| x = [[1, 2], |
| [3, 4]] |
| tile(x, reps=(2,3)) = [[ 1., 2., 1., 2., 1., 2.], |
| [ 3., 4., 3., 4., 3., 4.], |
| [ 1., 2., 1., 2., 1., 2.], |
| [ 3., 4., 3., 4., 3., 4.]] |
| - **n>d**. ``reps`` is promoted to length *n* by pre-pending 1's to it. Thus for |
| : |
| tile(x, reps=(2,)) = [[ 1., 2., 1., 2.], |
| [ 3., 4., 3., 4.]] |
| - **n<d**. The input is promoted to be d-dimensional by prepending new axes. So a |
| shape ``(2,2)`` array is promoted to ``(1,2,2)`` for 3-D replication:: |
| tile(x, reps=(2,2,3)) = [[[ 1., 2., 1., 2., 1., 2.], |
| [ 3., 4., 3., 4., 3., 4.], |
| [ 1., 2., 1., 2., 1., 2.], |
| [ 3., 4., 3., 4., 3., 4.]], |
| [[ 1., 2., 1., 2., 1., 2.], |
| [ 3., 4., 3., 4., 3., 4.], |
| [ 1., 2., 1., 2., 1., 2.], |
| [ 3., 4., 3., 4., 3., 4.]]]. |
| |
| |
| |
| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``data`` | NDArray-or-Symbol. | |
| | | | |
| | | Input data array | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``reps`` | Shape(tuple), required. | |
| | | | |
| | | The number of times for repeating the tensor a. Each dim | |
| | | size of reps must be a positive integer. If reps has | |
| | | length d, the result will have dimension of max(d, | |
| | | a.ndim); If a.ndim < d, a is promoted to be d-dimensional | |
| | | by prepending new axes. If a.ndim > d, reps is promoted to | |
| | | a.ndim by pre-pending 1's to | |
| | | it. | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
| |
| ``out`` The result mx.ndarray |
| |
| |
| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/matrix_op.cc#L796 |
| |
