torch_tensor_from_buffer function

Creates a tensor from a buffer of memory

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.

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.