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 function
sigmoid
def sigmoid[dtype: DType, simd_width: Int, accum: DType = get_accum_type[dtype]()](x: SIMD[dtype, simd_width]) -> SIMD[dtype, simd_width]
Compute the sigmoid activation using the equation .
The computation is performed in a higher-precision accumulation type (see
get_accum_type) for low-precision inputs and cast back to dtype, to
match the numerics of the graph-level ops.sigmoid implementation.
Constraints:
Type must be a floating point Dtype.
Parameters:
- βdtype (
DType): DType used for the computation. - βsimd_width (
Int): SIMD width used for the computation. - βaccum (
DType): Higher-precision accumulation dtype used internally; defaults toget_accum_type[dtype]().
Args:
- βx (
SIMD[dtype, simd_width]): The value to compute the sigmoid operation on.
Returns:
SIMD[dtype, simd_width]: The result of the sigmoid operation.
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