Mojo function
pad_shape
pad_shape[input_type: DType, paddings_type: DType, single_thread_blocking_override: Bool](input_buf: TileTensor[input_type, input_buf.LayoutType, input_buf.origin, address_space=input_buf.address_space, linear_idx_type=input_buf.linear_idx_type, element_size=input_buf.element_size], paddings_buf: TileTensor[paddings_type, paddings_buf.LayoutType, paddings_buf.origin, address_space=paddings_buf.address_space, linear_idx_type=paddings_buf.linear_idx_type, element_size=paddings_buf.element_size]) -> IndexList[TileTensor[input_type, input_buf.LayoutType, input_buf.origin, address_space=input_buf.address_space, linear_idx_type=input_buf.linear_idx_type, element_size=input_buf.element_size].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 (
TileTensor): The tensor to pad. - paddings_buf (
TileTensor): The paddings tensor, of shape (input_rank, 2).
Returns:
IndexList: The output shape.
Was this page helpful?
Thank you! We'll create more content like this.
Thank you for helping us improve!