Mojo function

scatter_nd_generator

scatter_nd_generator[output_type: DType, indices_type: DType, single_thread_blocking_override: Bool, target: StringSlice[StaticConstantOrigin] = "cpu", /, reduce_fn: OptionalReg[fn[dtype: DType, width: Int](SIMD[dtype, width], SIMD[dtype, width]) capturing -> SIMD[dtype, width]] = None, *, _trace_description: StringSlice[StaticConstantOrigin] = "scatter_nd"](data: LayoutTensor[output_type, layout, origin, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], indices: LayoutTensor[indices_type, layout, origin, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], updates: LayoutTensor[output_type, layout, origin, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], output: LayoutTensor[output_type, layout, origin, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], context: DeviceContextPtr = DeviceContextPtr())

Implements ONNX ScatterND operation as defined in https://github.com/onnx/onnx/blob/main/docs/Operators.md#ScatterND.

Parameters:

output_type (DType): Type of data, updates, and output tensors.
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.
target (StringSlice): Target cpu or cuda.
reduce_fn (OptionalReg): Reduction function to apply: none (default), add, mul, max, min.
_trace_description (StringSlice): A description of the function, used for profiling and tracing.

Args:

data (LayoutTensor): Tensor of rank data_rank >= 1.
indices (LayoutTensor): Tensor of rank indices_rank containing indices for the scatter operation.
updates (LayoutTensor): Tensor containing values to update output tensor based on indices tensor.
output (LayoutTensor): Tensor of rank data_rank, shaped the same as data tensor.
context (DeviceContextPtr): Pointer to DeviceContext.