Pytorch Interview Questions (MCQ): Test Your Knowledge!

What method is used to compute the natural logarithm of (1 + x) for a tensor?

torch.log1p(tensor)

tensor.log1p()

torch.ln1p(tensor)

tensor.compute_log1p()

How can you use torch.nn.utils.prune.identity in PyTorch?

To identify pruning

For applying identity pruning (no pruning)

To optimize model structure

To implement custom pruning techniques

How does torch.distributed.launch work in PyTorch?

It launches distributed training on multiple GPUs

For launching PyTorch applications

To initiate model deployment

To start data preprocessing

What is curriculum learning in the context of deep learning?

Gradually increasing model complexity

Gradually increasing training data size

Gradually increasing learning rate

Gradually increasing difficulty of training examples

How can you implement learning rate scheduling in PyTorch?

Using classes from torch.optim.lr_scheduler

Learning rate scheduling is not supported in PyTorch

By manually changing the learning rate

By using a custom optimizer

What is the primary function of torch.cuda.is_available() in PyTorch?

To enable CUDA

To disable CUDA

To check CUDA availability

To optimize CUDA usage

Which of the following is NOT a valid pooling layer in PyTorch?

MeanPool2d

MaxPool2d

AvgPool2d

AdaptiveAvgPool2d

Which of the following is NOT a valid method to create a diagonal tensor in PyTorch?

torch.diagonal_matrix()

torch.diag()

torch.diagonal()

torch.eye()

Which PyTorch function is used to compute the cosine similarity between tensors?

torch.cosine()

F.cosine_similarity()

nn.CosineSimilarity()

Both b and c

Which PyTorch function is used to apply dropout to 2D inputs?

nn.Dropout()

nn.Dropout2d()

F.dropout2d()

Both b and c

What is the primary purpose of PyTorch?

Web development

Database management

Deep learning

Image editing

What is the purpose of torch.nn.AdaptiveAvgPool2d in PyTorch?

To adapt to different pool sizes

For adaptive average pooling operations

To optimize pooling layers

To create custom pooling functions

What is underfitting in PyTorch models?

When models inadequately learn and fail to capture the underlying data patterns

When models are too complex for the available data

When the batch size is too large

When the learning rate is too low

What is the purpose of torch.nn.utils.vector_to_parameters in PyTorch?

To vectorize parameters

To convert a vector to model parameters

To optimize parameter storage

To implement vector operations

What is PyTorch Geometric Temporal?

An extension of PyTorch Geometric for spatio-temporal graph data

A time series analysis library

A scheduling tool for PyTorch training

A temporal logic framework for PyTorch

How can you implement custom backward functions in PyTorch?

By subclassing torch.autograd.Function

Using the @backward decorator

Modifying the backward() method of nn.Module

PyTorch doesn't support custom backward functions

What is the purpose of torch.nn.functional.gelu in PyTorch?

To apply the GELU activation function

To implement Gaussian error linear units

To optimize Gaussian processes

To normalize inputs using Gaussian distribution

Which company originally developed PyTorch?

Facebook (Meta)

Google

Microsoft

Amazon

Which function concatenates tensors along a given dimension in PyTorch?

torch.concat

torch.cat

torch.join

torch.merge

What is the purpose of torch.hub in PyTorch?

To manage model versioning

To load pre-trained models

To create model hubs

To optimize model architecture

Score: 0/20