forked from SciSharp/TensorFlow.NET
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathMemoryMonitor.cs
More file actions
85 lines (72 loc) · 2.79 KB
/
MemoryMonitor.cs
File metadata and controls
85 lines (72 loc) · 2.79 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
using System;
using System.Diagnostics;
using System.Threading;
using System.Threading.Tasks;
using Tensorflow.NumPy;
using static Tensorflow.Binding;
using static Tensorflow.KerasApi;
namespace Tensorflow
{
public class MemoryMonitor
{
public void WarmUp()
{
var x1 = tf.Variable(10, name: "x");
tf.compat.v1.disable_eager_execution();
var input = np.array(4);
var nd = tf.reshape(input, new int[] { 1, 1});
var z = nd[0, 0];
while (true)
{
var x = tf.placeholder(tf.float64, shape: (1024, 1024));
var log = tf.log(x);
var sess = tf.Session();
var ones = np.ones((1024, 1024), dtype: np.float64);
var o = sess.run(log, new FeedItem(x, ones));
// Thread.Sleep(1);
}
Shape 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";
}
}
}