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MemoryMonitor.cs
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68 lines (58 loc) · 2.2 KB
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using System;
using System.Diagnostics;
using System.Threading;
using System.Threading.Tasks;
using NumSharp;
using static Tensorflow.Binding;
using static Tensorflow.KerasApi;
namespace Tensorflow
{
public class MemoryMonitor
{
public void WarmUp()
{
TensorShape shape = (1, 32, 32, 3);
np.arange(shape.size).astype(np.float32).reshape(shape.dims);
print($"tensorflow native version: v{tf.VERSION}");
tf.Context.ensure_initialized();
var a = tf.constant(np.ones(10, 10));
var b = tf.Variable(a);
var c = tf.Variable(b);
var d = b * c;
print(d.numpy());
GC.Collect();
GC.WaitForPendingFinalizers();
}
public void Execute(int epoch, int iterate, Action<int, int> process)
{
GC.Collect();
GC.WaitForPendingFinalizers();
var initialTotalMemory = Process.GetCurrentProcess().PrivateMemorySize64;
print($"{process.Method.Name} started...");
for (int i = 0; i < epoch; i++)
{
var initialMemory = Process.GetCurrentProcess().PrivateMemorySize64;
for (int j = 0; j < iterate; j++)
process(i, j);
keras.backend.clear_session();
GC.Collect();
GC.WaitForPendingFinalizers();
var finalMemory = Process.GetCurrentProcess().PrivateMemorySize64;
print($"Epoch {i}: {Format(finalMemory - initialMemory)}.");
}
var finalTotalMemory = Process.GetCurrentProcess().PrivateMemorySize64;
print($"Memory usage difference: {Format(finalTotalMemory - initialTotalMemory)} / {Format(Process.GetCurrentProcess().PrivateMemorySize64)}");
}
private string Format(long usage)
{
if (usage < 0)
return $"-{Format(0 - usage)}";
if (usage <= 1024 && usage >= 0)
return $"{usage} Bytes";
else if (usage > 1024 && usage <= 1024 * 1024)
return $"{usage / 1024} KB";
else
return $"{usage / 1024 / 1024} MB";
}
}
}