Mercurial > ift6266
annotate demo/mlp_conv.c @ 647:47af8a002530 tip
changed Theano to ift6266 and remove numpy as we do not use code from numpy in this repository
author | Razvan Pascanu <r.pascanu@gmail.com> |
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date | Wed, 17 Oct 2012 09:26:14 -0400 |
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1 |
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2 #include "AS3.h" |
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3 #include <math.h> |
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4 |
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5 typedef struct { |
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6 int n,x,y; |
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7 float *w, *b; |
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8 int nonlin; // 0aucune,1sigm,2tanh,3softmax |
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9 int maxpool; // 01 |
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10 } LAYER; |
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11 |
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12 LAYER models[] = { {500,32,32,0,0,2,0},{62,1,1,0,0,3,0}, {1000,32,32,0,0,1,0},{1000,1,1,0,0,1,0},{1000,1,1,0,0,1,0},{62,1,1,0,0,1,0} }; |
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13 int mod_i[] = {0,2,6}; |
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14 |
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15 LAYER *L; |
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16 int nl; |
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17 |
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18 float *data, *o; |
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19 #define BUF_SIZE 20000 |
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20 |
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21 static AS3_Val initparam(void* self, AS3_Val args) { |
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22 AS3_Val tmp = AS3_Undefined(); |
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23 int il, len; |
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24 |
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25 for (il=0; il < sizeof(models)/sizeof(LAYER); ++il) { |
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26 tmp = AS3_Get(args, AS3_Int(2*il)); |
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27 len = AS3_IntValue(AS3_GetS(tmp, "length")); |
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28 models[il].w = (float*) malloc(len); |
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29 AS3_ByteArray_readBytes(models[il].w, tmp, len); |
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30 |
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31 tmp = AS3_Get(args, AS3_Int(2*il+1)); |
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32 len = AS3_IntValue(AS3_GetS(tmp, "length")); |
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33 models[il].b = (float*) malloc(len); |
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34 AS3_ByteArray_readBytes(models[il].b, tmp, len); |
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35 } |
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36 |
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37 data = (float*) malloc(BUF_SIZE); |
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38 o = (float*) malloc(BUF_SIZE); |
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39 |
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40 return AS3_Int(0); |
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41 } |
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42 |
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43 static AS3_Val choosemodel(void* self, AS3_Val args) { |
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44 int il; |
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45 |
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46 AS3_ArrayValue( args, "IntType", &il ); |
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47 |
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48 L = models + mod_i[il]; |
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49 nl = mod_i[il+1] - mod_i[il]; |
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50 |
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51 return AS3_Int(0); |
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52 } |
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53 |
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54 static AS3_Val prediction(void* self, AS3_Val args) { |
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55 AS3_Val in_arr = AS3_Undefined(), out_arr = AS3_Array(0); |
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56 float *tmp, d, e; |
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57 int i,j,k,l, n,x,y, newx,newy, il, dx,dy; |
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58 LAYER *pL; |
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59 |
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60 AS3_ArrayValue( args, "AS3ValType", &in_arr ); |
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61 |
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62 for(i=0; i < 1024; ++i) |
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63 data[i] = AS3_IntValue(AS3_Get(in_arr, AS3_Int(4*i+1))) /255.0; |
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64 |
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65 n = 1; |
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66 x = 32; |
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67 y = 32; |
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68 |
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69 #define DATA(l,j,i) data[((l)*y + (j))*x + (i)] |
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70 #define O(k,dy,dx) o[((k)*newy + (dy))*newx + (dx)] |
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71 #define W(k,l,j,i) pL->w[(((k)*n + (l))*pL->y + (j))*pL->x + (i)] |
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72 |
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73 for (il=0; il < nl; ++il) { |
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74 flyield(); |
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75 pL = L+il; |
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76 newx = x+1-pL->x; |
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77 newy = y+1-pL->y; |
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78 |
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79 for (dx=0; dx < newx; ++dx) |
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80 for (dy=0; dy < newy; ++dy) |
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81 for (k=0; k < pL->n; ++k) { |
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82 d = pL->b[k]; |
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83 for (l=0; l < n; ++l) |
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84 for(j=0; j < pL->y; ++j) |
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85 for(i=0; i < pL->x; ++i) |
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86 d += DATA(l,j+dy,i+dx)*W(k,l,j,i); |
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87 O(k,dy,dx) = d; |
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88 } |
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89 |
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90 if(pL->maxpool) { |
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91 for (k=0; k < pL->n; ++k) |
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92 for (dx=0; dx < newx; dx+=2) |
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93 for (dy=0; dy < newy; dy+=2) { |
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94 d=O(k,dy,dx); |
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95 e=O(k,dy,dx+1); if(e>d) d=e; |
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96 e=O(k,dy+1,dx); if(e>d) d=e; |
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97 e=O(k,dy+1,dx+1); if(e>d) d=e; |
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98 O(k,dy/2,dx/2)=d; |
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99 } |
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100 newx /= 2; |
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101 newy /= 2; |
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102 } |
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103 |
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104 for (dx=0; dx < newx; ++dx) |
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105 for (dy=0; dy < newy; ++dy) { |
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106 e = 0; |
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107 for (k=0; k < pL->n; ++k) { |
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108 d = O(k,dy,dx); |
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109 if(pL->nonlin==1) d=1.0/(1.0 + exp(-d)); |
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110 else if(pL->nonlin==2) d=tanh(d); |
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111 else if(pL->nonlin==3) { d=exp(d); e += d; } |
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112 O(k,dy,dx) = d; |
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113 } |
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114 if(pL->nonlin==3 && e) |
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115 for (k=0; k < pL->n; ++k) |
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116 O(k,dy,dx) /= e; |
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117 } |
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118 |
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119 tmp = data; |
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120 data = o; |
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121 o = tmp; |
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122 |
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123 x = newx; |
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124 y = newy; |
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125 n = pL->n; |
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126 } |
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127 |
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128 for(i=0; i < n*x*y; ++i) |
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129 AS3_Set(out_arr, AS3_Int(i), AS3_Number(data[i])); |
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130 |
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131 return out_arr; |
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132 } |
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133 |
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134 int main() { |
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135 AS3_Val initparamMethod = AS3_Function( NULL, initparam ); |
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136 AS3_Val choosemodelMethod = AS3_Function( NULL, choosemodel ); |
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137 AS3_Val predictionMethod = AS3_FunctionAsync( NULL, prediction ); |
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138 |
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139 AS3_Val result = AS3_Object( "initparam: AS3ValType, choosemodel: AS3ValType, prediction: AS3ValType", initparamMethod, choosemodelMethod, predictionMethod ); |
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140 |
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141 AS3_Release( initparamMethod ); |
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142 AS3_Release( choosemodelMethod ); |
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143 AS3_Release( predictionMethod ); |
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144 |
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145 AS3_LibInit( result ); |
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146 |
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147 return 0; |
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148 } |