ggml_new_tensor: Create Tensor with Arbitrary Dimensions

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Create Tensor with Arbitrary Dimensions

Description

Generic tensor constructor for creating tensors with 1-4 dimensions. This is more flexible than the ggml_new_tensor_Nd functions.

Usage

ggml_new_tensor(ctx, type = GGML_TYPE_F32, n_dims, ne)

Arguments

ctx	GGML context
type	Data type (GGML_TYPE_F32, etc.)
n_dims	Number of dimensions (1-4)
ne	Numeric vector of dimension sizes

Value

Tensor pointer

Examples

ctx <- ggml_init(1024 * 1024)
t <- ggml_new_tensor(ctx, GGML_TYPE_F32, 3, c(10, 20, 30))
ggml_nelements(t)
ggml_free(ctx)

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