How do I convert a NumPy array to a PyTorch tensor?
An example of an AI chatbot conversation about converting NumPy arrays to PyTorch tensors.
How do I convert a NumPy array to a PyTorch tensor?
You can use the torch.from_numpy() function to convert a NumPy array to a PyTorch tensor.
Can you show me an example?
Sure! Here's a simple example:
import numpy as np
import torch
# Create a NumPy array
numpy_array = np.array([[1, 2], [3, 4]])
# Convert to PyTorch tensor
tensor = torch.from_numpy(numpy_array)
print(tensor)
What if my NumPy array has a different data type?
If your NumPy array has a different data type, you can specify the desired data type when converting. For example:
tensor = torch.from_numpy(numpy_array.astype(np.float32))
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