Mojo function

index_tensor_shape

index_tensor_shape[output_rank: Int, input_type: DType, indices_type: DType, batch_dims: Int, single_thread_blocking_override: Bool = True](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], indices_buf: LayoutTensor[indices_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[output_rank]

Compute the output shape of a index_tensor operation, and assert the inputs are compatible.

Parameters:

output_rank (Int): Rank of the output tensor.
input_type (DType): Type of the input tensor.
indices_type (DType): Type of the indices tensor.
batch_dims (Int): Batch dimensions.
single_thread_blocking_override (Bool): If True, then reduction is run synchronously using a single thread.

Args:

input_buf (LayoutTensor): The input tensor.
indices_buf (LayoutTensor): The indices tensor.

Returns:

IndexList: The output shape.