ruby-rails posted

how to convert numpy to torch?

steave
answered May 1 '23 00:00

To convert a NumPy array to a PyTorch tensor, you can use the torch.from_numpy() function. Here's an example code snippet:


import numpy as np
import torch

# Create a NumPy array
numpy_array = np.array([[1, 2, 3], [4, 5, 6]])

# Convert NumPy array to PyTorch tensor
torch_tensor = torch.from_numpy(numpy_array)

# Print the PyTorch tensor
print(torch_tensor)

In this example, we create a 2D NumPy array with shape (2, 3), and then convert it to a PyTorch tensor using the torch.from_numpy() function. The resulting tensor has the same shape and values as the original NumPy array.

Note that the PyTorch tensor and the original NumPy array share the same underlying memory, so changes to one will affect the other. If you want to create a copy of the NumPy array rather than sharing memory, you can use the numpy.ndarray.copy() method before converting to a PyTorch tensor, like this:



import numpy as np
import torch

# Create a NumPy array
numpy_array = np.array([[1, 2, 3], [4, 5, 6]])

# Create a copy of the NumPy array and convert to PyTorch tensor
torch_tensor = torch.from_numpy(numpy_array.copy())

# Print the PyTorch tensor
print(torch_tensor)

In this case, changes to the PyTorch tensor will not affect the original NumPy array.

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ruby-rails posted

how to convert numpy to torch?

steave answered May 1 '23 00:00

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steave
answered May 1 '23 00:00