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Mojo function

scatter_elements_shape

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

Compute the output shape of a scatter_elements 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:

Returns:

IndexList: The output shape.

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