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example2.py
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# cython: language_level=3
# -*- coding: utf-8 -*-
# *****************************************************************************
# Copyright (c) 2016-2025, Intel Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# - Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# - Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
# THE POSSIBILITY OF SUCH DAMAGE.
# *****************************************************************************
"""Example 2.
This example shows usage of different input data types
with same third party library call
Also, it produces performance comparison between a same third party function call
over different types of input data
"""
import time
import numpy
import dpnp
def run_third_party_function(xp, input, repetition):
times = []
for _ in range(repetition):
start_time = time.time()
result = xp.sin(input)
end_time = time.time()
times.append(end_time - start_time)
execution_time = numpy.median(times)
return execution_time, result.item(5)
if __name__ == "__main__":
test_repetition = 5
for xp in [numpy, dpnp]:
type_name = xp.__name__
print(
f"...Test data type is {type_name}, each test repetitions {test_repetition}"
)
for size in range(20, 25):
size = 2**size
input_data = xp.arange(size)
result_time, result = run_third_party_function(
xp, input_data, test_repetition
)
print(
f"type:{type_name}:N:{size:6}:Time:{result_time:.3e}:result:{result}"
)