Transcript: This video will show you how to convert a Python list object into a PyTorch tensor using the tensor operation. First, we import PyTorch. import torch. Then we check the PyTorch version we are using. print (torch.__version__) We are using PyTorch version 0.4.1. Next, let’s create a Python list full of floating point numbers.
We use this class in the PyTorch kernel API instead of std::vector<T>, because that allows us to do optimizations and switch out the underlying list ...
22.12.2018 · How do I convert a PyTorch Tensor into a python list? My current use case is to convert a tensor of size [1, 2048, 1, 1] into a list of 2048 elements. My …
torch.Tensor.tolist¶ Tensor. tolist → list or number ¶ Returns the tensor as a (nested) list. For scalars, a standard Python number is returned, just like with item().Tensors are automatically moved to the CPU first if necessary.
ModuleList can be indexed like a regular Python list, but modules it contains are properly registered, and will be visible by all Module methods. Appends a given module to the end of the list. Appends modules from a Python iterable to the end of the list. Insert a given module before a given index in the list. index ( int) – index to insert.
Next, let’s use the PyTorch tolist operation to convert our example PyTorch tensor to a Python list. python_list_from_pytorch_tensor = pytorch_tensor.tolist () So you can see we have tolist () and then we assign the result to the Python variable python_list_from_pytorch_tensor. The first thing we can do is we can print to see what it looks like.