|
| 1 | +import clearwater_modules |
| 2 | +import numpy as np |
| 3 | +import xarray as xr |
| 4 | +import cProfile |
| 5 | +from pathlib import Path |
| 6 | + |
| 7 | + |
| 8 | +def create_data_array( |
| 9 | + gridsize: int, |
| 10 | + value: int | float |
| 11 | +): |
| 12 | + data = np.full(gridsize, value) |
| 13 | + data_array = xr.DataArray(data) |
| 14 | + return data_array |
| 15 | + |
| 16 | +def run_performance_test( |
| 17 | + iters: int, |
| 18 | + gridsize: int |
| 19 | +): |
| 20 | + """Log the performance for different numbers of iterations.""" |
| 21 | + |
| 22 | + if gridsize == 1: |
| 23 | + state_i = { |
| 24 | + 'water_temp_c': 40.0, |
| 25 | + 'surface_area': 1.0, |
| 26 | + 'volume': 1.0, |
| 27 | + } |
| 28 | + meteo_parameters = {'wind_c': 1.0} |
| 29 | + |
| 30 | + else: |
| 31 | + state_i = { |
| 32 | + 'water_temp_c': create_data_array(gridsize, 40.0), |
| 33 | + 'surface_area': create_data_array(gridsize, 1.0), |
| 34 | + 'volume': create_data_array(gridsize, 1.0), |
| 35 | + } |
| 36 | + meteo_parameters = { |
| 37 | + 'wind_c': 1.0 |
| 38 | + } |
| 39 | + |
| 40 | + # instantiate the TSM module |
| 41 | + tsm = clearwater_modules.tsm.EnergyBudget( |
| 42 | + time_steps=iters, |
| 43 | + initial_state_values=state_i, |
| 44 | + meteo_parameters=meteo_parameters, |
| 45 | + track_dynamic_variables=False, |
| 46 | + ) |
| 47 | + |
| 48 | + for _ in range(iters): |
| 49 | + tsm.increment_timestep() |
| 50 | + |
| 51 | + |
| 52 | +if __name__ == '__main__': |
| 53 | + iterations_list = [300000, 400000, 500000] # [1000, 10000, 100000, 150000, 200000] |
| 54 | + gridsize_list = [10000, 100000] |
| 55 | + cwd = Path.cwd() |
| 56 | + print(cwd) |
| 57 | + root = Path('./examples/dev_sandbox/profiling/') |
| 58 | + # iterations_list = [1000] |
| 59 | + # gridsize_list = [1] |
| 60 | + # detailed_profile = True |
| 61 | + for iteration in iterations_list: |
| 62 | + for gridsize in gridsize_list: |
| 63 | + cprofile_file = root / f'{iteration}_iters_{gridsize}_gridsize.prof' |
| 64 | + profiler = cProfile.Profile() |
| 65 | + profiler.enable() |
| 66 | + run_performance_test(iteration, gridsize) |
| 67 | + profiler.disable() |
| 68 | + profiler.dump_stats(cprofile_file) |
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