What are PyTorch tensors and how do I use them?
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What are PyTorch tensors and how do I use them?
PyTorch tensors are multi-dimensional arrays that are similar to NumPy arrays but can be used on GPUs. They are the core data structure in PyTorch.
How do I create a tensor in PyTorch?
You can create a tensor using torch.tensor() function. For example, torch.tensor([1, 2, 3]) creates a 1D tensor.
Can I perform operations on tensors?
Yes, you can perform various operations like addition, multiplication, and more using built-in functions. For example, tensor1 + tensor2 adds two tensors.
What is the difference between a tensor and a NumPy array?
The main difference is that tensors can be used on GPUs for faster computation, while NumPy arrays are limited to CPU.
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