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# cython: language_level=3
# *****************************************************************************
# Copyright (c) 2016, 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.
# - Neither the name of the copyright holder nor the names of its contributors
# may be used to endorse or promote products derived from this software
# without specific prior written permission.
#
# 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 10.
This example shows simple usage of the DPNP
in combination with dpctl.
"""
import time
import numpy
import dpnp
def run(executor, size, test_type, repetition):
x = executor.reshape(
executor.arange(size * size, dtype=test_type), (size, size)
)
times = []
for _ in range(repetition):
start_time = time.perf_counter()
result = executor.sum(x)
end_time = time.perf_counter()
times.append(end_time - start_time)
return numpy.median(times), result
def get_dtypes():
_dtypes_list = [numpy.int32, numpy.int64, numpy.float32]
device = dpctl.select_default_device()
if device.has_aspect_fp64:
_dtypes_list.append(numpy.float64)
return _dtypes_list
def example():
test_repetition = 5
for test_type in get_dtypes():
type_name = numpy.dtype(test_type).name
print(
f"...Test data type is {type_name}, each test repetitions {test_repetition}"
)
for size in [64, 128, 256, 512, 1024, 2048, 4096]:
time_numpy, result_numpy = run(
numpy, size, test_type, test_repetition
)
time_dpnp, result_dpnp = run(dpnp, size, test_type, test_repetition)
if result_dpnp == result_numpy:
verification = True
else:
verification = f"({result_dpnp} != {result_numpy})"
msg = f"type:{type_name}:N:{size:4}:NumPy:{time_numpy:.3e}:DPNP:{time_dpnp:.3e}"
msg += f":ratio:{time_numpy/time_dpnp:6.2f}:verification:{verification}"
print(msg)
if __name__ == "__main__":
import dpctl
dpctl.select_default_device().print_device_info()
example()