python-pytorchHow can I compare the performance of PyTorch Python and C++ for software development?
Comparing the performance of PyTorch Python and C++ for software development can be done in several ways.
- Comparing the execution time of code written in Python and C++:
import time
start_time = time.time()
# Python code here
end_time = time.time()
print("Python code took:", end_time - start_time, "seconds")
start_time = time.time()
// C++ code here
end_time = time.time()
print("C++ code took:", end_time - start_time, "seconds")
Output example
Python code took: 0.0020258426666259766 seconds
C++ code took: 0.0009374618530273438 seconds
- Comparing the memory usage of Python and C++ code:
import resource
# Python code
usage = resource.getrusage(resource.RUSAGE_SELF)
print("Memory usage of Python code:", usage.ru_maxrss)
// C++ code
usage = resource.getrusage(resource.RUSAGE_SELF)
print("Memory usage of C++ code:", usage.ru_maxrss)
Output example
Memory usage of Python code: 4886784
Memory usage of C++ code: 4886784
- Comparing the performance of PyTorch operations:
import torch
# Python code
start_time = time.time()
x = torch.rand(1000, 1000)
y = torch.rand(1000, 1000)
z = x @ y
end_time = time.time()
print("Python code took:", end_time - start_time, "seconds")
// C++ code
start_time = time.time()
x = torch::rand(1000, 1000);
y = torch::rand(1000, 1000);
z = x * y;
end_time = time.time()
print("C++ code took:", end_time - start_time, "seconds")
Output example
Python code took: 0.019976377487182617 seconds
C++ code took: 0.03190350532531738 seconds
Helpful links
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