Tensor Device Conversion In PyTorch
Learn how to convert tensors between CPU and GPU, and from NumPy arrays with PyTorch's `to()`, `cuda()`, `cpu()`, `from_numpy()` and `numpy()` methods. Examples included.
Buy Me a Coffee☕ *My post explains how to create and acceess a tensor. to() can do device conversion as shown below: *Memos: to() can be used with a tensor but not with torch. The 1st argument with a tensor is device(Optional-Defalut:None-Type:str, int or device()): *Memos: If it's None, the device of a tensor is not converted. cpu, cuda, ipu, xpu, mkldnn, opengl, opencl, ideep, hip, ve, fpga, ort, xla, lazy, vulkan, mps, meta, hpu, mtia or privateuseone can be set to device. Setting 0 to device uses cuda(GPU). *The number must be zero or positive. My post explains device(). A copied tens...