Mojo function
pad_shape
pad_shape[input_type: DType, paddings_type: DType, single_thread_blocking_override: Bool](input_buf: LayoutTensor[input_type, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], paddings_buf: LayoutTensor[paddings_type, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment]) -> IndexList[layout.rank()]
Compute the output shape of a pad operation, and assert the inputs are compatible.
Parameters:
- input_type (
DType): Type of the input tensor. - paddings_type (
DType): Type of the padding tensor. - single_thread_blocking_override (
Bool): If True, then the operation is run synchronously using a single thread.
Args:
- input_buf (
LayoutTensor[input_type, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment]): The tensor to pad. - paddings_buf (
LayoutTensor[paddings_type, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment]): The paddings tensor, of shape (input_rank, 2).
Returns:
The output shape.
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