internal static tensor_t <float> to_tensor(List <List <List <float> > > data)
{
int z = data.Count;
int y = data[0].Count;
int x = data[0][0].Count;
tensor_t <float> t = new tensor_t <float>(x, y, z);
for (int i = 0; i < x; i++)
{
for (int j = 0; j < y; j++)
{
for (int k = 0; k < z; k++)
{
t.functorMethod(i, j, k) = data[k][j][i];
}
}
}
return(t.functorMethod);
}
static int Main()
{
vector <case_t> cases = read_test_cases();
vector <layer_t> layers = new vector <layer_t>();
conv_layer_t layer1 = new conv_layer_t(1, 5, 8, cases[0].data.size); // 28 * 28 * 1 -> 24 * 24 * 8
//C++ TO C# CONVERTER TODO TASK: The following line was determined to contain a copy constructor call - this should be verified and a copy constructor should be created:
//ORIGINAL LINE: relu_layer_t * layer2 = new relu_layer_t(layer1->out.size);
relu_layer_t layer2 = new relu_layer_t(new point_t([email protected]));
//C++ TO C# CONVERTER TODO TASK: The following line was determined to contain a copy constructor call - this should be verified and a copy constructor should be created:
//ORIGINAL LINE: pool_layer_t * layer3 = new pool_layer_t(2, 2, layer2->out.size);
pool_layer_t layer3 = new pool_layer_t(2, 2, new point_t([email protected])); // 24 * 24 * 8 -> 12 * 12 * 8
//C++ TO C# CONVERTER TODO TASK: The following line was determined to contain a copy constructor call - this should be verified and a copy constructor should be created:
//ORIGINAL LINE: conv_layer_t * layer4 = new conv_layer_t(1, 3, 10, layer3->out.size);
conv_layer_t layer4 = new conv_layer_t(1, 3, 10, new point_t([email protected])); // 12 * 12 * 6 -> 10 * 10 * 10
//C++ TO C# CONVERTER TODO TASK: The following line was determined to contain a copy constructor call - this should be verified and a copy constructor should be created:
//ORIGINAL LINE: relu_layer_t * layer5 = new relu_layer_t(layer4->out.size);
relu_layer_t layer5 = new relu_layer_t(new point_t([email protected]));
//C++ TO C# CONVERTER TODO TASK: The following line was determined to contain a copy constructor call - this should be verified and a copy constructor should be created:
//ORIGINAL LINE: pool_layer_t * layer6 = new pool_layer_t(2, 2, layer5->out.size);
pool_layer_t layer6 = new pool_layer_t(2, 2, new point_t([email protected])); // 10 * 10 * 10 -> 5 * 5 * 10
//C++ TO C# CONVERTER TODO TASK: The following line was determined to contain a copy constructor call - this should be verified and a copy constructor should be created:
//ORIGINAL LINE: fc_layer_t * layer7 = new fc_layer_t(layer6->out.size, 10);
fc_layer_t layer7 = new fc_layer_t(new point_t([email protected]), 10); // 4 * 4 * 16 -> 10
layers.push_back((layer_t)layer1);
layers.push_back((layer_t)layer2);
layers.push_back((layer_t)layer3);
layers.push_back((layer_t)layer4);
layers.push_back((layer_t)layer5);
layers.push_back((layer_t)layer6);
layers.push_back((layer_t)layer7);
float amse = 0F;
int ic = 0;
for (int ep = 0; ep < 100000;)
{
foreach (case_t t in cases)
{
float xerr = train(layers, t.data.functorMethod, [email protected]);
amse += xerr;
ep++;
ic++;
if (ep % 1000 == 0)
{
Console.Write("case ");
Console.Write(ep);
Console.Write(" err=");
Console.Write(amse / ic);
Console.Write("\n");
}
// if ( GetAsyncKeyState( VK_F1 ) & 0x8000 )
// {
// printf( "err=%.4f%\n", amse / ic );
// goto end;
// }
}
}
// end:
while (true)
{
uint8_t[] data = read_file("test.ppm");
if (data != null)
{
//C++ TO C# CONVERTER TODO TASK: The following line was determined to contain a copy constructor call - this should be verified and a copy constructor should be created:
//ORIGINAL LINE: uint8_t * usable = data;
uint8_t[] usable = new uint8_t(data);
while ((uint32_t)usable != 0x0A353532)
{
usable++;
}
//C++ TO C# CONVERTER TODO TASK: There is no equivalent to most C++ 'pragma' directives in C#:
//#pragma pack(push, 1)
//C++ TO C# CONVERTER TODO TASK: C# does not allow declaring types within methods:
// struct RGB
// {
// uint8_t r, g, b;
// };
//C++ TO C# CONVERTER TODO TASK: There is no equivalent to most C++ 'pragma' directives in C#:
//#pragma pack(pop)
RGB[] rgb = (RGB)usable;
tensor_t <float> image = new tensor_t <float>(28, 28, 1);
for (int i = 0; i < 28; i++)
{
for (int j = 0; j < 28; j++)
{
RGB rgb_ij = rgb[i * 28 + j];
image.functorMethod(j, i, 0) = ((((float)rgb_ij.r + rgb_ij.g + rgb_ij.b) / (3.0f * 255.0f)));
}
}
forward(layers, image.functorMethod);
tensor_t <float> @out = layers.back().@out;
for (int i = 0; i < 10; i++)
{
Console.Write("[{0:D}] {1:f}\n", i, @out.functorMethod(i, 0, 0) * 100.0f);
}
data = null;
}
timespec wait = new timespec();
wait.tv_sec = 1;
wait.tv_nsec = 0;
nanosleep(wait, null);
}
return(0);
}
