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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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from __future__ import print_function
import mxnet as mx
from mxnet import profiler
import time
import numpy as np
def test_profiler():
profile_filename = "test_profile.json"
iter_num = 100
begin_profiling_iter = 50
end_profiling_iter = 50
profiler.profiler_set_config(mode='symbolic', filename=profile_filename)
print('profile file save to {0}'.format(profile_filename))
A = mx.sym.Variable('A')
B = mx.sym.Variable('B')
C = mx.symbol.dot(A, B)
executor = C.simple_bind(mx.cpu(1), 'write', A=(4096, 4096), B=(4096, 4096))
a = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096))
b = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096))
a.copyto(executor.arg_dict['A'])
b.copyto(executor.arg_dict['B'])
flag = False
print("execution begin")
for i in range(iter_num):
if i == begin_profiling_iter:
t0 = time.clock()
profiler.profiler_set_state('run')
if i == end_profiling_iter:
t1 = time.clock()
profiler.profiler_set_state('stop')
executor.forward()
c = executor.outputs[0]
c.wait_to_read()
print("execution end")
duration = t1 - t0
print('duration: {0}s'.format(duration))
print(' {0}ms/operator'.format(duration*1000/iter_num))
if __name__ == '__main__':
test_profiler()