by Suf | Nov 13, 2024 | Data Science, Machine Learning, PyTorch
PyTorch provides a variety of tensor operations, and understanding the differences between torch.mm, torch.matmul, and torch.mul is essential when working with tensor computations. Although they might look similar, these functions serve different purposes and operate...
by Suf | Mar 16, 2022 | Machine Learning, Programming, Python, PyTorch
Concatenating joins a sequence of tensors along an existing axis. The PyTorch function for concatenation is cat(). Stacking joins a sequence of tensors along a new axis. The PyTorch function for stacking is stack(). Table of Contents Introduction PyTorch Cat PyTorch...
by Suf | Mar 14, 2022 | Programming, Python, PyTorch, Tips
To convert a NumPy array to a PyTorch tensor you can: Use the from_numpy() function, for example, tensor_x = torch.from_numpy(numpy_array)Pass the NumPy array to the torch.Tensor() constructor or by using the tensor function, for example, tensor_x =...
