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[layout.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.
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