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Pytorch Torch Get_Default_Device

📅 2026-06-24 | 📂 PyTorch
```html PyTorch torch.get_default_device Function | Tutorial [Tutorial -- Learning not just technology, but dreams!]

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torch.get_default_device

The torch.get_default_device() function returns the default device currently set in PyTorch. This device is used as the default target for tensor operations when no explicit device is specified.

Syntax

torch.get_default_device()

Parameters

This function does not accept any parameters.

Return Value

Returns a torch.device object representing the current default device. If no default device has been set, it returns None.

Example

import torch

# Set default device to CUDA if available
if torch.cuda.is_available():
    torch.set_default_device('cuda')

# Get the current default device
default_device = torch.get_default_device()
print(default_device)  # Output: device(type='cuda') or None if not set

Notes

  • The default device can be set using torch.set_default_device().
  • If no default device is explicitly set, PyTorch does not assign a default device by default, and torch.get_default_device() will return None.
  • This function is useful for writing device-agnostic code that adapts to the environment's default device setting.

Related Functions

  • torch.set_default_device() — Sets the default device.
  • torch.device() — Constructs a device object.
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