Tensor Operations in PyTorch QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

How can you perform a matrix multiplication of two tensors in PyTorch?

torch.mul()

torch.dot()

torch.matmult()

torch.matmul()

Question: 2

What is the result of the operation torch.tensor([2, 4, 6]) - 3?

[-1, 1, 3]

[2, 1, 3]

[1, 2, 3]

Error: incompatible shapes

Question: 3

Which function is used for finding the element-wise reciprocal of a tensor in PyTorch?

torch.inverse()

torch.reciprocal()

torch.divide()

torch.negate()

Question: 4

What is the purpose of the torch.squeeze() function in PyTorch?

Inserts a singleton dimension in a tensor

Removes singleton dimensions from a tensor

Finds the mean value of a tensor

Computes the inverse of a tensor

Question: 5

How can you perform element-wise logarithm of a tensor in PyTorch?

torch.log()

torch.exp()

torch.sqrt()

torch.pow()

Question: 6

What is the purpose of the torch.mean() function in PyTorch?

Computes the sum of tensor elements

Finds the mean value of a tensor

Transposes the dimensions of the tensor

Inserts a singleton dimension in a tensor

Question: 7

Which PyTorch function is used for finding the absolute values of a tensor?

torch.abs()

torch.absolute()

torch.positive()

torch.negate()

Question: 8

What is the result of the operation torch.tensor([1, 2, 3]) @ torch.tensor([4, 5, 6])?

Scalar value

[4, 10, 18]

Error: incompatible shapes

[4, 5, 6]

Question: 9

How can you perform element-wise exponentiation of a tensor in PyTorch?

torch.exp()

torch.pow()

torch.log()

torch.sqrt()

Question: 10

What is the purpose of the torch.max() function in PyTorch?

Computes the maximum value in a tensor

Returns the indices of the maximum values along a specified axis

Concatenates tensors along a specified dimension

Computes the element-wise sum of tensors

Question: 11

What is the result of the operation torch.tensor([2, 4, 8]) / torch.tensor([1, 2, 4])?

[1, 2, 4]

[2, 2, 2]

[2, 2, 8]

Error: incompatible shapes

Question: 12

Which PyTorch function is used for finding the element-wise exponential of a tensor?

torch.exp()

torch.power()

torch.e()

torch.log()

Question: 13

What does the torch.unsqueeze() function do in PyTorch?

Reduces the number of dimensions in a tensor

Removes singleton dimensions from a tensor

Inserts a singleton dimension at a specified position

Computes the inverse of a tensor

Question: 14

Which function is used for finding the mean value of a tensor in PyTorch?

torch.mean()

torch.average()

torch.median()

torch.mean_value()

Question: 15

What is the purpose of the torch.cat() function in PyTorch?

Computes the element-wise sum of tensors

Concatenates tensors along a specified dimension

Transposes the dimensions of the tensor

Finds the dot product of two tensors

Question: 16

What is broadcasting in PyTorch?

A technique for resizing tensors

A method for performing element-wise operations on tensors of different shapes

A module in PyTorch for handling audio data

A function for transposing tensors

Question: 17

What does the torch.argmax() function do in PyTorch?

Computes the maximum value in a tensor

Returns the indices of the maximum value along a specified axis

Computes the sum of tensor elements

Transposes the tensor

Question: 18

Which PyTorch function is used for finding the element-wise square root of a tensor?

torch.sqrt()

torch.square_root()

torch.root()

torch.pow(0.5)

Question: 19

What is the purpose of the torch.flatten() function in PyTorch?

Reshapes the tensor

Flattens the tensor to a one-dimensional array

Transposes the dimensions of the tensor

Computes the mean of tensor elements

Question: 20

What is the result of the operation torch.tensor([2, 4, 6]) * torch.tensor([3, 2, 1])?

[6, 8, 6]

[6, 8, 10]

[5, 6, 7]

Error: incompatible shapes

Question: 21

Which operation is used for performing element-wise multiplication of two tensors in PyTorch?

torch.mul()

torch.multiply()

torch.prod()

torch.elementwise_mul()

Question: 22

What is the purpose of the torch.sum() function in PyTorch?

Computes the sum of tensor elements

Performs element-wise multiplication

Concatenates tensors along a specified dimension

Computes the mean of tensor elements

Question: 23

Which PyTorch function is used for element-wise subtraction of two tensors?

torch.subtract()

torch.minus()

torch.sub()

torch.difference()

Question: 24

What does the torch.transpose() function do in PyTorch?

Reshapes the tensor

Transposes the dimensions of the tensor

Computes the element-wise square root

Flattens the tensor

Question: 25

Which function is used for finding the dot product of two tensors in PyTorch?

torch.dot()

torch.multiply()

torch.matmul()

torch.prod()

Question: 26

What is the result of the operation torch.tensor([1, 2, 3]) + 5?

[6, 7, 8]

[1, 2, 8]

Error: incompatible shapes

[1, 2, 3, 5]

Question: 27

How does broadcasting help in PyTorch operations?

Speeds up operations

Reduces memory usage

Allows operations on tensors of different shapes without explicit resizing

Enforces strict shape conformity

Question: 28

Which of the following is an advanced operation for batch matrix multiplication in PyTorch?

torch.mm()

torch.bmm()

torch.matmul_batch()

torch.batchmm()

Question: 29

What is the purpose of torch.matmul() in PyTorch?

Element-wise multiplication of tensors

Matrix transpose

Batch matrix multiplication

Dot product of tensors

Question: 30

Which PyTorch function is used for element-wise addition of two tensors?

torch.combine()

torch.add()

torch.merge()

torch.sum()

Tensor Operations in PyTorch QUIZ (MCQ QUESTIONS AND ANSWERS)

TIME:20:00

Time:20:00

How can you perform a matrix multiplication of two tensors in PyTorch?

What is the result of the operation torch.tensor([2, 4, 6]) - 3?

Which function is used for finding the element-wise reciprocal of a tensor in PyTorch?

What is the purpose of the torch.squeeze() function in PyTorch?

How can you perform element-wise logarithm of a tensor in PyTorch?

What is the purpose of the torch.mean() function in PyTorch?

Which PyTorch function is used for finding the absolute values of a tensor?

What is the result of the operation torch.tensor([1, 2, 3]) @ torch.tensor([4, 5, 6])?

How can you perform element-wise exponentiation of a tensor in PyTorch?

What is the purpose of the torch.max() function in PyTorch?

What is the result of the operation torch.tensor([2, 4, 8]) / torch.tensor([1, 2, 4])?

Which PyTorch function is used for finding the element-wise exponential of a tensor?

What does the torch.unsqueeze() function do in PyTorch?

Which function is used for finding the mean value of a tensor in PyTorch?

What is the purpose of the torch.cat() function in PyTorch?

What is broadcasting in PyTorch?

What does the torch.argmax() function do in PyTorch?

Which PyTorch function is used for finding the element-wise square root of a tensor?

What is the purpose of the torch.flatten() function in PyTorch?

What is the result of the operation torch.tensor([2, 4, 6]) * torch.tensor([3, 2, 1])?

Which operation is used for performing element-wise multiplication of two tensors in PyTorch?

What is the purpose of the torch.sum() function in PyTorch?

Which PyTorch function is used for element-wise subtraction of two tensors?

What does the torch.transpose() function do in PyTorch?

Which function is used for finding the dot product of two tensors in PyTorch?

What is the result of the operation torch.tensor([1, 2, 3]) + 5?

How does broadcasting help in PyTorch operations?

Which of the following is an advanced operation for batch matrix multiplication in PyTorch?

What is the purpose of torch.matmul() in PyTorch?

Which PyTorch function is used for element-wise addition of two tensors?