a | b/v3/py2tfjs/conversion_example/modelAE.json | ||
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1 | { |
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2 | "header": "Autoencoder-like architecture for 256^3 brains", |
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3 | "bnorm": true, |
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4 | "gelu": true, |
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5 | "dropout_p": 0, |
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6 | "layers": [ |
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7 | { |
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8 | "in_channels": -1, |
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9 | "out_channels": 5, |
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10 | "kernel_size": 3, |
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11 | "padding": 1, |
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12 | "stride": 1, |
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13 | "dilation": 1 |
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14 | }, |
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15 | { |
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16 | "in_channels": 5, |
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17 | "out_channels": 5, |
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18 | "kernel_size": 3, |
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19 | "padding": 2, |
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20 | "stride": 1, |
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21 | "dilation": 2 |
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22 | }, |
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23 | { |
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24 | "in_channels": 5, |
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25 | "out_channels": 5, |
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26 | "kernel_size": 3, |
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27 | "padding": 3, |
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28 | "stride": 1, |
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29 | "dilation": 3 |
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30 | }, |
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31 | { |
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32 | "in_channels": 5, |
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33 | "out_channels": 5, |
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34 | "kernel_size": 3, |
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35 | "padding": 4, |
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36 | "stride": 1, |
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37 | "dilation": 4 |
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38 | }, |
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39 | { |
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40 | "in_channels": 5, |
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41 | "out_channels": 5, |
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42 | "kernel_size": 3, |
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43 | "padding": 5, |
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44 | "stride": 1, |
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45 | "dilation": 5 |
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46 | }, |
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47 | { |
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48 | "in_channels": 5, |
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49 | "out_channels": 5, |
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50 | "kernel_size": 3, |
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51 | "padding": 6, |
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52 | "stride": 1, |
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53 | "dilation": 6 |
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54 | }, |
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55 | { |
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56 | "in_channels": 5, |
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57 | "out_channels": 5, |
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58 | "kernel_size": 3, |
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59 | "padding": 7, |
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60 | "stride": 1, |
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61 | "dilation": 7 |
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62 | }, |
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63 | { |
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64 | "in_channels": 5, |
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65 | "out_channels": 5, |
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66 | "kernel_size": 3, |
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67 | "padding": 8, |
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68 | "stride": 1, |
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69 | "dilation": 8 |
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70 | }, |
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71 | { |
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72 | "in_channels": 5, |
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73 | "out_channels": 5, |
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74 | "kernel_size": 3, |
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75 | "padding": 12, |
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76 | "stride": 1, |
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77 | "dilation": 12 |
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78 | }, |
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79 | { |
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80 | "in_channels": 5, |
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81 | "out_channels": 5, |
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82 | "kernel_size": 3, |
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83 | "padding": 16, |
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84 | "stride": 1, |
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85 | "dilation": 16 |
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86 | }, |
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87 | { |
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88 | "in_channels": 5, |
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89 | "out_channels": 5, |
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90 | "kernel_size": 3, |
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91 | "padding": 12, |
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92 | "stride": 1, |
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93 | "dilation": 12 |
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94 | }, |
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95 | { |
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96 | "in_channels": 5, |
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97 | "out_channels": 5, |
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98 | "kernel_size": 3, |
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99 | "padding": 8, |
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100 | "stride": 1, |
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101 | "dilation": 8 |
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102 | }, |
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103 | { |
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104 | "in_channels": 5, |
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105 | "out_channels": 5, |
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106 | "kernel_size": 3, |
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107 | "padding": 7, |
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108 | "stride": 1, |
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109 | "dilation": 7 |
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110 | }, |
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111 | { |
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112 | "in_channels": 5, |
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113 | "out_channels": 5, |
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114 | "kernel_size": 3, |
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115 | "padding": 6, |
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116 | "stride": 1, |
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117 | "dilation": 6 |
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118 | }, |
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119 | { |
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120 | "in_channels": 5, |
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121 | "out_channels": 5, |
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122 | "kernel_size": 3, |
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123 | "padding": 5, |
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124 | "stride": 1, |
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125 | "dilation": 5 |
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126 | }, |
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127 | { |
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128 | "in_channels": 5, |
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129 | "out_channels": 5, |
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130 | "kernel_size": 3, |
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131 | "padding": 4, |
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132 | "stride": 1, |
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133 | "dilation": 4 |
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134 | }, |
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135 | { |
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136 | "in_channels": 5, |
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137 | "out_channels": 5, |
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138 | "kernel_size": 3, |
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139 | "padding": 3, |
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140 | "stride": 1, |
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141 | "dilation": 3 |
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142 | }, |
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143 | { |
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144 | "in_channels": 5, |
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145 | "out_channels": 5, |
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146 | "kernel_size": 3, |
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147 | "padding": 2, |
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148 | "stride": 1, |
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149 | "dilation": 2 |
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150 | }, |
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151 | { |
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152 | "in_channels": 5, |
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153 | "out_channels": 5, |
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154 | "kernel_size": 3, |
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155 | "padding": 1, |
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156 | "stride": 1, |
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157 | "dilation": 1 |
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158 | }, |
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159 | { |
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160 | "in_channels": 5, |
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161 | "out_channels": -1, |
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162 | "kernel_size": 1, |
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163 | "padding": 0, |
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164 | "stride": 1, |
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165 | "dilation": 1 |
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166 | } |
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167 | ] |
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168 | } |