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1node {
2  name: "conv1/XavierFill"
3  op: "XavierFill"
4  attr {
5    key: "_output_shapes"
6    value {
7      list {
8        shape {
9          dim {
10            size: 96
11          }
12          dim {
13            size: 3
14          }
15          dim {
16            size: 11
17          }
18          dim {
19            size: 11
20          }
21        }
22      }
23    }
24  }
25}
26node {
27  name: "conv1/ConstantFill"
28  op: "ConstantFill"
29  attr {
30    key: "_output_shapes"
31    value {
32      list {
33        shape {
34          dim {
35            size: 96
36          }
37        }
38      }
39    }
40  }
41}
42node {
43  name: "classifier/XavierFill"
44  op: "XavierFill"
45  attr {
46    key: "_output_shapes"
47    value {
48      list {
49        shape {
50          dim {
51            size: 1000
52          }
53          dim {
54            size: 4096
55          }
56        }
57      }
58    }
59  }
60}
61node {
62  name: "classifier/ConstantFill"
63  op: "ConstantFill"
64  attr {
65    key: "_output_shapes"
66    value {
67      list {
68        shape {
69          dim {
70            size: 1000
71          }
72        }
73      }
74    }
75  }
76}
77node {
78  name: "conv1/Conv"
79  op: "Conv"
80  input: "conv1/data"
81  input: "conv1/conv1_w"
82  input: "conv1/conv1_b"
83  attr {
84    key: "exhaustive_search"
85    value {
86      i: 0
87    }
88  }
89  attr {
90    key: "kernel"
91    value {
92      i: 11
93    }
94  }
95  attr {
96    key: "order"
97    value {
98      s: "NCHW"
99    }
100  }
101  attr {
102    key: "stride"
103    value {
104      i: 4
105    }
106  }
107}
108node {
109  name: "conv1/Relu"
110  op: "Relu"
111  input: "conv1/conv1"
112  attr {
113    key: "cudnn_exhaustive_search"
114    value {
115      i: 0
116    }
117  }
118  attr {
119    key: "order"
120    value {
121      s: "NCHW"
122    }
123  }
124}
125node {
126  name: "conv1/MaxPool"
127  op: "MaxPool"
128  input: "conv1/conv1_1"
129  attr {
130    key: "cudnn_exhaustive_search"
131    value {
132      i: 0
133    }
134  }
135  attr {
136    key: "kernel"
137    value {
138      i: 2
139    }
140  }
141  attr {
142    key: "order"
143    value {
144      s: "NCHW"
145    }
146  }
147  attr {
148    key: "stride"
149    value {
150      i: 2
151    }
152  }
153}
154node {
155  name: "classifier/FC"
156  op: "FC"
157  input: "conv1/pool1"
158  input: "classifier/fc_w"
159  input: "classifier/fc_b"
160  attr {
161    key: "cudnn_exhaustive_search"
162    value {
163      i: 0
164    }
165  }
166  attr {
167    key: "order"
168    value {
169      s: "NCHW"
170    }
171  }
172  attr {
173    key: "use_cudnn"
174    value {
175      i: 1
176    }
177  }
178}
179node {
180  name: "classifier/Softmax"
181  op: "Softmax"
182  input: "classifier/fc"
183  attr {
184    key: "cudnn_exhaustive_search"
185    value {
186      i: 0
187    }
188  }
189  attr {
190    key: "order"
191    value {
192      s: "NCHW"
193    }
194  }
195}
196node {
197  name: "classifier/LabelCrossEntropy"
198  op: "LabelCrossEntropy"
199  input: "classifier/pred"
200  input: "classifier/label"
201}
202node {
203  name: "classifier/AveragedLoss"
204  op: "AveragedLoss"
205  input: "classifier/xent"
206}
207node {
208  name: "conv1/conv1_w"
209  op: "Blob"
210  input: "conv1/XavierFill:0"
211}
212node {
213  name: "conv1/conv1_b"
214  op: "Blob"
215  input: "conv1/ConstantFill:0"
216}
217node {
218  name: "classifier/fc_w"
219  op: "Blob"
220  input: "classifier/XavierFill:0"
221}
222node {
223  name: "classifier/fc_b"
224  op: "Blob"
225  input: "classifier/ConstantFill:0"
226}
227node {
228  name: "conv1/data"
229  op: "Placeholder"
230}
231node {
232  name: "conv1/conv1_w"
233  op: "Blob"
234  input: "conv1/XavierFill:0"
235}
236node {
237  name: "conv1/conv1_b"
238  op: "Blob"
239  input: "conv1/ConstantFill:0"
240}
241node {
242  name: "conv1/conv1"
243  op: "Blob"
244  input: "conv1/Conv:0"
245}
246node {
247  name: "conv1/conv1"
248  op: "Blob"
249  input: "conv1/Conv:0"
250}
251node {
252  name: "conv1/conv1_1"
253  op: "Blob"
254  input: "conv1/Relu:0"
255}
256node {
257  name: "conv1/conv1_1"
258  op: "Blob"
259  input: "conv1/Relu:0"
260}
261node {
262  name: "conv1/pool1"
263  op: "Blob"
264  input: "conv1/MaxPool:0"
265}
266node {
267  name: "conv1/pool1"
268  op: "Blob"
269  input: "conv1/MaxPool:0"
270}
271node {
272  name: "classifier/fc_w"
273  op: "Blob"
274  input: "classifier/XavierFill:0"
275}
276node {
277  name: "classifier/fc_b"
278  op: "Blob"
279  input: "classifier/ConstantFill:0"
280}
281node {
282  name: "classifier/fc"
283  op: "Blob"
284  input: "classifier/FC:0"
285}
286node {
287  name: "classifier/fc"
288  op: "Blob"
289  input: "classifier/FC:0"
290}
291node {
292  name: "classifier/pred"
293  op: "Blob"
294  input: "classifier/Softmax:0"
295}
296node {
297  name: "classifier/pred"
298  op: "Blob"
299  input: "classifier/Softmax:0"
300}
301node {
302  name: "classifier/label"
303  op: "Placeholder"
304}
305node {
306  name: "classifier/xent"
307  op: "Blob"
308  input: "classifier/LabelCrossEntropy:0"
309}
310node {
311  name: "classifier/xent"
312  op: "Blob"
313  input: "classifier/LabelCrossEntropy:0"
314}
315node {
316  name: "classifier/loss"
317  op: "Blob"
318  input: "classifier/AveragedLoss:0"
319}
320