ggml_timestep_embedding: Timestep Embedding (Graph Operation)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Timestep Embedding (Graph Operation)

Description

Creates sinusoidal timestep embeddings as used in diffusion models. Reference: CompVis/stable-diffusion util.py timestep_embedding

Usage

ggml_timestep_embedding(ctx, timesteps, dim, max_period = 10000L)

Arguments

ctx	GGML context
timesteps	Input tensor of timestep values [N]
dim	Embedding dimension
max_period	Maximum period for sinusoidal embedding (default 10000)

Value

Tensor of shape [N, dim] with timestep embeddings

ggmlR documentation built on July 14, 2026, 1:08 a.m.