| |
| |
| ``mx.nd.GridGenerator`` |
| ============================================== |
| |
| Description |
| ---------------------- |
| |
| Generates 2D sampling grid for bilinear sampling. |
| |
| |
| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``data`` | NDArray-or-Symbol. | |
| | | | |
| | | Input data to the function. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``transform.type`` | {'affine', 'warp'}, required. | |
| | | | |
| | | The type of transformation. For `affine`, input data | |
| | | should be an affine matrix of size (batch, 6). For `warp`, | |
| | | input data should be an optical flow of size (batch, 2, h, | |
| | | w). | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``target.shape`` | Shape(tuple), optional, default=[0,0]. | |
| | | | |
| | | Specifies the output shape (H, W). This is required if | |
| | | transformation type is `affine`. If transformation type is | |
| | | `warp`, this parameter is | |
| | | ignored. | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
| |
| ``out`` The result mx.ndarray |
| |
| |
