Mojo function

scatter_nd_shape

scatter_nd_shape[input_type: DType, indices_type: DType, single_thread_blocking_override: Bool](input: TileTensor[input_type, LayoutType, origin, address_space=address_space, linear_idx_type=linear_idx_type, element_shape_types=element_shape_types], updates: TileTensor[input_type, LayoutType, origin, address_space=address_space, linear_idx_type=linear_idx_type, element_shape_types=element_shape_types], indices: TileTensor[indices_type, LayoutType, origin, address_space=address_space, linear_idx_type=linear_idx_type, element_shape_types=element_shape_types]) -> IndexList[TileTensor[input_type, LayoutType, origin, address_space=address_space, linear_idx_type=linear_idx_type, element_shape_types=element_shape_types].rank]

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

Parameters:

• ​input_type (DType): Type of the input tensor.
• ​indices_type (DType): Type of the indices tensor.
• ​single_thread_blocking_override (Bool): If True, then the operation is run synchronously using a single thread.

Args:

• ​input (TileTensor): The input tensor.
• ​updates (TileTensor): The input tensor.
• ​indices (TileTensor): The indices tensor.

Returns:

IndexList: The output shape.

Was this page helpful?

Thank you! We'll create more content like this.

Thank you for helping us improve!

😔 What went wrong?

Some code doesn’t work

It includes inaccurate information

It's missing information I need

It was difficult to understand

Other

Submit