ggml_clamp: Clamp (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning

ggml_clamp

R Documentation

Clamp (Graph)

Description

Creates a graph node for clamping values to a range: clamp(x, min, max)

Usage

ggml_clamp(ctx, a, min_val, max_val)

Arguments

`ctx`	GGML context
`a`	Input tensor
`min_val`	Minimum value
`max_val`	Maximum value

Value

Tensor with values clamped to [min_val, max_val]

Inference only

GGML_OP_CLAMP has no backward pass, and the node it builds is a view of its input. A graph containing it therefore cannot be differentiated: the backward pass aborts with "inplace operations are currently not supported" rather than returning an error. This matters inside ggml_layer_custom, whose gradients flow only through operations that implement a backward pass.

For a trainable equivalent, express the clamp with operations that do: min(x, hi) is x - ggml_relu(ctx, x - hi) and max(x, lo) is lo + ggml_relu(ctx, x - lo).