Installation and GPU setup in PyTorch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to check if a GPU is available in PyTorch.

PyTorch

import torch
is_gpu = torch.cuda.[1]()

Drag options to blanks, or click blank then click option'

AisAvailable()

Bis_available

Cis_available()

Davailable()

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting the parentheses () after the function name.

Using incorrect function names like 'isAvailable' or 'available'.

The correct function to check GPU availability in PyTorch is torch.cuda.is_available() which returns True if a GPU is available.

2fill in blank

medium

Complete the code to move a tensor to GPU if available.

PyTorch

device = torch.device('cuda' if torch.cuda.[1]() else 'cpu')
tensor = torch.tensor([1, 2, 3]).to(device)

Drag options to blanks, or click blank then click option'

Ais_available()

Bavailable()

Cis_available

DisAvailable()

Attempts:

3 left

💡 Hint

Common Mistakes

Using the function without parentheses.

Using wrong function names.

To check if CUDA GPU is available, use torch.cuda.is_available(). This helps decide the device for tensor operations.

3fill in blank

hard

Fix the error in the code to print the name of the current GPU device.

PyTorch

if torch.cuda.is_available():
    print(torch.cuda.get_device_[1]())

Drag options to blanks, or click blank then click option'

Anames

Bname

Cdevice_name

Ddevice

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect function names like 'get_device' or 'get_device_names'.

Missing parentheses after the function.

The correct function to get the GPU device name is torch.cuda.get_device_name().

4fill in blank

hard

Fill both blanks to create a tensor on GPU and print its device.

PyTorch

tensor = torch.tensor([1, 2, 3], device=[1])
print(tensor.[2])

Drag options to blanks, or click blank then click option'

A'cuda'

Bdevice

D'cpu'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'cpu' instead of 'cuda' for GPU device.

Trying to call device as a function instead of attribute.

To create a tensor on GPU, set device='cuda'. To print the device of a tensor, use tensor.device.

5fill in blank

hard

Fill all three blanks to move a model to GPU and print its device of first parameter.

PyTorch

model = MyModel()
model.to([1])
first_param = next(model.parameters())
print(first_param.[2])
print(torch.cuda.[3]())

Drag options to blanks, or click blank then click option'

A'cuda'

Bdevice

Cis_available()

D'cpu'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'cpu' instead of 'cuda' to move model.

Calling device as a function instead of attribute.

Forgetting parentheses in is_available function.

Move model to GPU with model.to('cuda'). The device of a parameter is accessed by param.device. Check GPU availability with torch.cuda.is_available().