torch_tensor_from_buffer: Creates a tensor from a buffer of memory

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Creates a tensor from a buffer of memory

Description

It creates a tensor without taking ownership of the memory it points to. You must call clone if you want to copy the memory over a new tensor.

Usage

torch_tensor_from_buffer(buffer, shape, dtype = "float")

buffer_from_torch_tensor(tensor)

Arguments

buffer	An R atomic object containing the data in a contiguous array.
shape	The shape of the resulting tensor.
dtype	A torch data type for the tresulting tensor.
tensor	Tensor object that will be converted into a buffer.

Functions

• buffer_from_torch_tensor(): Creates a raw vector containing the tensor data. Causes a data copy.

torch documentation built on May 29, 2024, 9:54 a.m.