conftest.py

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# conftest.py
import gc

import pytest
import torch


def pytest_sessionstart(session):
    """Called at the start of the test session."""
    if torch.cuda.is_available():
        torch.cuda.reset_peak_memory_stats()
        print(f"Starting test session. Initial GPU memory: {torch.cuda.memory_allocated() / 1024**3:.3f} GB")


def pytest_sessionfinish(session, exitstatus):
    """Called at the end of the test session."""
    if torch.cuda.is_available():
        peak_memory = torch.cuda.max_memory_allocated()
        final_memory = torch.cuda.memory_allocated()
        print("\nTest session complete:")
        print(f"  Peak GPU memory: {peak_memory / 1024**3:.3f} GB")
        print(f"  Final GPU memory: {final_memory / 1024**3:.3f} GB")


@pytest.fixture(autouse=True)
def cleanup_after_test():
    """Clean up GPU memory after each test."""
    yield
    if torch.cuda.is_available():
        torch.cuda.empty_cache()
        gc.collect()