forked from torch/cunn
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathSigmoid.cu
66 lines (53 loc) · 2.15 KB
/
Sigmoid.cu
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
struct sigmoidupdateOutput_functor
{
__host__ __device__ float operator()(const float& input) const
{
return 1./(1.+ exp(-input));
}
};
static int cunn_Sigmoid_updateOutput(lua_State *L)
{
THCudaTensor *input = (THCudaTensor*)luaT_checkudata(L, 2, "torch.CudaTensor");
THCudaTensor *output = (THCudaTensor*)luaT_getfieldcheckudata(L, 1, "output", "torch.CudaTensor");
long size = THCudaTensor_nElement(input);
input = THCudaTensor_newContiguous(input);
THCudaTensor_resizeAs(output, input);
thrust::device_ptr<float> output_data(THCudaTensor_data(output));
thrust::device_ptr<float> input_data(THCudaTensor_data(input));
thrust::transform(input_data, input_data+size, output_data, sigmoidupdateOutput_functor());
THCudaTensor_free(input);
return 1;
}
struct sigmoidupdateGradInput_functor
{
__host__ __device__ float operator()(const float& output, const float& gradOutput) const
{
return gradOutput * (1.-output) * output;
}
};
static int cunn_Sigmoid_updateGradInput(lua_State *L)
{
THCudaTensor *output = (THCudaTensor*)luaT_getfieldcheckudata(L, 1, "output", "torch.CudaTensor");
THCudaTensor *gradOutput = (THCudaTensor*)luaT_checkudata(L, 3, "torch.CudaTensor");
THCudaTensor *gradInput = (THCudaTensor*)luaT_getfieldcheckudata(L, 1, "gradInput", "torch.CudaTensor");
long size = THCudaTensor_nElement(output);
gradOutput = THCudaTensor_newContiguous(gradOutput);
THCudaTensor_resizeAs(gradInput, output);
thrust::device_ptr<float> output_data(THCudaTensor_data(output));
thrust::device_ptr<float> gradOutput_data(THCudaTensor_data(gradOutput));
thrust::device_ptr<float> gradInput_data(THCudaTensor_data(gradInput));
thrust::transform(output_data, output_data+size, gradOutput_data, gradInput_data, sigmoidupdateGradInput_functor());
THCudaTensor_free(gradOutput);
return 1;
}
static const struct luaL_Reg cunn_Sigmoid__ [] = {
{"Sigmoid_updateOutput", cunn_Sigmoid_updateOutput},
{"Sigmoid_updateGradInput", cunn_Sigmoid_updateGradInput},
{NULL, NULL}
};
static void cunn_Sigmoid_init(lua_State *L)
{
luaT_pushmetatable(L, "torch.CudaTensor");
luaT_registeratname(L, cunn_Sigmoid__, "nn");
lua_pop(L,1);
}