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Mojo struct
ReduceGroupNorm
struct ReduceGroupNorm
Registers the mo.reduce.group_norm graph op with the graph compiler.
Implemented traits
Methods
execute
static def execute[dtype: DType, rank: Int, target: StringSpan[ImmStaticOrigin]](output: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=output.static_spec], input: ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=input.static_spec], gamma: ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=gamma.static_spec], beta: ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=beta.static_spec], epsilon: Float32, num_groups: Int32, ctx: DeviceContext)
Executes the mo.reduce.group_norm graph op.
Parameters:
- dtype (
DType): Element type of the input and output tensors. - rank (
Int): Tensor rank of the input and output tensors. - target (
StringSpan[ImmStaticOrigin]): Compilation target string.
Args:
- output (
ManagedTensorSlice[IOSpec[_, _].Output, static_spec=output.static_spec]): Output tensor receiving the result. - input (
ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=input.static_spec]): Input tensor to reduce. - gamma (
ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=gamma.static_spec]): Per-column scale weights. - beta (
ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=beta.static_spec]): Per-column shift weights. - epsilon (
Float32): Small constant for numerical stability. - num_groups (
Int32): Number of groups for group normalization. - ctx (
DeviceContext): Device context used to enqueue the kernel.
Raises:
Error: If the operation parameters are invalid.