Mojo function

layer_norm_shape

layer_norm_shape[dtype: DType, single_thread_blocking_override: Bool](input: LayoutTensor[dtype, 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], gamma: LayoutTensor[dtype, Layout.row_major(1), origin], beta: LayoutTensor[dtype, Layout.row_major(1), origin], epsilon: Scalar[dtype]) -> IndexList[LayoutTensor[dtype, 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].rank]

Compute the output shape of a layer_norm operation.

Parameters:

dtype (DType): Type of the input tensors.
single_thread_blocking_override (Bool): If True, then the operation is run synchronously using a single thread.

Args:

input (LayoutTensor): The input tensor.
gamma (LayoutTensor): The tensor for gamma coefficient.
beta (LayoutTensor): The tensor for beta coefficient.
epsilon (Scalar): The tensor for epsilon coefficient.

Returns:

IndexList: The output shape.