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Python / PyTorch Fundamentals Interview Questions

What is the difference between batch size, epoch, and iteration in PyTorch training?

These three terms are fundamental to understanding any training loop, and confusing them is a common source of bugs when computing metrics or setting up learning rate schedules.

Training terminology
TermDefinitionExample
Batch sizeNumber of samples processed together in one forward/backward pass32
Iteration (step)One forward + backward + optimizer.step() call — processes one batch1 step = 1 batch processed
EpochOne complete pass through the entire training dataset1 epoch = dataset_size / batch_size iterations
import torch
from torch.utils.data import DataLoader, TensorDataset

# Example: 1000 training samples, batch size 32
X = torch.randn(1000, 20)
y = torch.randint(0, 5, (1000,))
dataset = TensorDataset(X, y)
loader  = DataLoader(dataset, batch_size=32, shuffle=True)

iterations_per_epoch = len(loader)   # = ceil(1000 / 32) = 32
print(f"Iterations per epoch: {iterations_per_epoch}")

n_epochs = 10
total_iterations = n_epochs * iterations_per_epoch
print(f"Total training iterations: {total_iterations}")  # 320

global_step = 0
for epoch in range(n_epochs):
    for batch_idx, (X_batch, y_batch) in enumerate(loader):
        # This inner loop body executes once PER ITERATION
        # X_batch.shape[0] == batch_size (32, except possibly the last batch)
        global_step += 1
        if global_step % 10 == 0:
            print(f"Epoch {epoch}, iteration {batch_idx}, global step {global_step}")

    print(f"--- Completed epoch {epoch} ---")  # runs once PER EPOCH

# Common pitfall: confusing scheduler.step() granularity
# Some schedulers (StepLR) expect ONE call per epoch
# Others (OneCycleLR) expect ONE call per iteration/step
# Mixing these up silently breaks the intended learning rate schedule
If a dataset has 10,000 samples and the batch size is 50, how many iterations occur in one epoch?
Why is it important to know whether a learning rate scheduler should be stepped per epoch or per iteration?

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