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Mojo struct
RowMeanOfSquares
struct RowMeanOfSquares
Per-row mean of squares over the last axis, accumulated in float32.
For input x of shape [M, N] computes out[m, 0] = sum_n(x[m,n]^2) / N
and writes a [M, 1] output.dtype result (typically float32). The square
and accumulation always run in the input's accumulation type (float32 for
bfloat16/float16/float32 inputs), independent of the output dtype.
Implemented traits
Methods
execute
static def execute[target: StringSlice[ImmStaticOrigin]](output: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=output.static_spec], input: ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=input.static_spec], ctx: DeviceContext)
Executes the mo.reduce.row_mean_of_squares graph op.
Parameters:
- target (
StringSlice[ImmStaticOrigin]): Compilation target string.
Args:
- output (
ManagedTensorSlice[IOSpec[_, _].Output, static_spec=output.static_spec]): Output tensor of shape[M, 1]receiving the per-row mean of squares. - input (
ManagedTensorSlice[IOSpec[_, _].FusedInput, static_spec=input.static_spec]): Input tensor of shape[M, N]to compute over. - ctx (
DeviceContext): Device context used to enqueue the kernel.
Raises:
Error: If output does not have shape [input_rows, 1].
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