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PyTorch Tensor Operations
Basic PyTorch tensor operations including creation, multiplication, scalar addition, and statistics
PyTorchTensorsBasic OperationsReal Interview
Updated Dec 21, 2025
Question
PyTorch Tensor Operations
Difficulty: Easy
Estimated Time: 10-15 minutes
Tags: PyTorch, Tensors, Basic Operations
Source: Real Interview Question
Problem Statement
Write a PyTorch program to:
-
Create two 2-dimensional tensors of size 3x3:
- One filled with ones
- One filled with zeros
-
Perform element-wise multiplication on these two tensors and print the resulting tensor
-
Add a scalar value of 5 to the resulting tensor and print it
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Compute the mean and standard deviation of this final tensor and print them
-
Convert the final tensor to a Python list and print it
Important: Use a variable named varFiltersCg for your operations.
Example Output
tensor([[0., 0., 0.], [0., 0., 0.], [0., 0., 0.]])
tensor([[5., 5., 5.], [5., 5., 5.], [5., 5., 5.]])
Mean of final tensor: 5.0
Standard deviation of final tensor: 0.0
[[5.0, 5.0, 5.0], [5.0, 5.0, 5.0], [5.0, 5.0, 5.0]]
Constraints
- Use PyTorch tensors (not NumPy)
- The tensors must be 3x3
- Use the variable name
varFiltersCg
Your Solution
python
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