For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).
Mojo struct
LayerNorm
struct LayerNorm
Registers the mo.reduce.layer_norm graph op with the graph compiler.
Implemented traits
Methods
execute
static def execute[dtype: DType, rank: Int, target: StringSlice[ImmStaticOrigin]](output: ManagedTensorSlice[IOSpec[_, _].FusedOutput, 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[_, _].Input, static_spec=beta.static_spec], epsilon: Float32, ctx: DeviceContext)
Executes the mo.reduce.layer_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 (
StringSlice[ImmStaticOrigin]): Compilation target string.
Args:
- output (
ManagedTensorSlice[IOSpec[_, _].FusedOutput, 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[_, _].Input, static_spec=beta.static_spec]): Per-column shift weights. - epsilon (
Float32): Small constant for numerical stability. - ctx (
DeviceContext): Device context used to enqueue the kernel.
Raises:
Error: If the operation parameters are invalid.
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