def performance(parameter_name, values, config=CONFIG):
save_folder = generate_folder_name()
print("\n\nPerformance test for parameter '{}' with values {}".format(parameter_name, values))
results = np.empty((len(values), 2), dtype=float)
drop = np.empty((len(values), 2), dtype=float)
for index, v in enumerate(values):
print("Run {} with value {} on GPU".format(index+1, v))
results[index, 0], drop[index, 0] = run((parameter_name, v), ('gpu', True))
utils.clear_current_line()
# print("Run {} with value {} on CPU".format(index+1, v))
# results[index, 1], drop[index, 1] = run((parameter_name, v), ('gpu', False))
# utils.clear_current_line()
# print("Results: \n{}".format(results))
print("Number of dropped solutions: \n " + "GPU: " + format(drop[:, 0]))
gpu_results = tuple(results[:, 0])
# cpu_results = tuple(results[:, 1])
cpu_results = 0
exp_name = tuple(values)
utils.save_dict(config, save_folder, 'config_' + parameter_name + '.txt')
acoc_plotter.plot_bar_graph(gpu_results, cpu_results, exp_name, save=True, show=True, save_folder=SAVE_DIR)
def performance(parameter_name, values, config=CONFIG):
save_folder = generate_folder_name()
print("\n\nPerformance test for parameter '{}' with values {}".format(
parameter_name, values))
results = np.empty((len(values), 2), dtype=float)
drop = np.empty((len(values), 2), dtype=float)
for index, v in enumerate(values):
print("Run {} with value {} on GPU".format(index + 1, v))
results[index, 0], drop[index, 0] = run((parameter_name, v),
('gpu', True))
utils.clear_current_line()
# print("Run {} with value {} on CPU".format(index+1, v))
# results[index, 1], drop[index, 1] = run((parameter_name, v), ('gpu', False))
# utils.clear_current_line()
# print("Results: \n{}".format(results))
print("Number of dropped solutions: \n " + "GPU: " + format(drop[:, 0]))
gpu_results = tuple(results[:, 0])
# cpu_results = tuple(results[:, 1])
cpu_results = 0
exp_name = tuple(values)
utils.save_dict(config, save_folder, 'config_' + parameter_name + '.txt')
acoc_plotter.plot_bar_graph(gpu_results,
cpu_results,
exp_name,
save=True,
show=True,
save_folder=SAVE_DIR)
def benchmark(parameter_name, values, config=CONFIG):
save_folder = generate_folder_name()
print("\n\nBenchmark for parameter '{}' with values {}".format(parameter_name, values))
results = np.empty((len(values), 2), dtype=float)
for index, v in enumerate(values):
print("Run {} with value {} on GPU".format(index+1, v))
results[index, 0] = run((parameter_name, v), ('gpu', True))
utils.clear_current_line()
print("Run {} with value {} on CPU".format(index+1, v))
results[index, 1] = run((parameter_name, v), ('gpu', False))
utils.clear_current_line()
result_str = "Results: \n{}".format(results)
print(result_str)
utils.save_dict(config, save_folder, 'config_' + parameter_name + '.txt')
utils.save_string_to_file(result_str, save_folder, 'results.txt')
def benchmark(parameter_name, values, config=CONFIG):
save_folder = generate_folder_name()
print("\n\nBenchmark for parameter '{}' with values {}".format(
parameter_name, values))
results = np.empty((len(values), 2), dtype=float)
for index, v in enumerate(values):
print("Run {} with value {} on GPU".format(index + 1, v))
results[index, 0] = run((parameter_name, v), ('gpu', True))
utils.clear_current_line()
print("Run {} with value {} on CPU".format(index + 1, v))
results[index, 1] = run((parameter_name, v), ('gpu', False))
utils.clear_current_line()
result_str = "Results: \n{}".format(results)
print(result_str)
utils.save_dict(config, save_folder, 'config_' + parameter_name + '.txt')
utils.save_string_to_file(result_str, save_folder, 'results.txt')