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Class Net

rtpose_wrapper/include/caffe/net.hpp:24–312  ·  view source on GitHub ↗

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22 */
23template <typename Dtype>
24class Net {
25 public:
26 explicit Net(const NetParameter& param, const Net* root_net = NULL);
27 explicit Net(const string& param_file, Phase phase,
28 const int level = 0, const vector<string>* stages = NULL,
29 const Net* root_net = NULL);
30 virtual ~Net() {}
31
32 /// @brief Initialize a network with a NetParameter.
33 void Init(const NetParameter& param);
34
35 /**
36 * @brief Run Forward and return the result.
37 *
38 */
39 const vector<Blob<Dtype>*>& Forward(Dtype* loss = NULL);
40 /// @brief DEPRECATED; use Forward() instead.
41 const vector<Blob<Dtype>*>& ForwardPrefilled(Dtype* loss = NULL) {
42 LOG_EVERY_N(WARNING, 1000) << "DEPRECATED: ForwardPrefilled() "
43 << "will be removed in a future version. Use Forward().";
44 return Forward(loss);
45 }
46
47 /**
48 * The From and To variants of Forward and Backward operate on the
49 * (topological) ordering by which the net is specified. For general DAG
50 * networks, note that (1) computing from one layer to another might entail
51 * extra computation on unrelated branches, and (2) computation starting in
52 * the middle may be incorrect if all of the layers of a fan-in are not
53 * included.
54 */
55 Dtype ForwardFromTo(int start, int end);
56 Dtype ForwardFrom(int start);
57 Dtype ForwardTo(int end);
58 /// @brief DEPRECATED; set input blobs then use Forward() instead.
59 const vector<Blob<Dtype>*>& Forward(const vector<Blob<Dtype>* > & bottom,
60 Dtype* loss = NULL);
61
62 /**
63 * @brief Zeroes out the diffs of all net parameters.
64 * Should be run before Backward.
65 */
66 void ClearParamDiffs();
67
68 /**
69 * The network backward should take no input and output, since it solely
70 * computes the gradient w.r.t the parameters, and the data has already been
71 * provided during the forward pass.
72 */
73 void Backward();
74 void BackwardFromTo(int start, int end);
75 void BackwardFrom(int start);
76 void BackwardTo(int end);
77
78 /**
79 * @brief Reshape all layers from bottom to top.
80 *
81 * This is useful to propagate changes to layer sizes without running

Callers

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Calls 1

sizeMethod · 0.45

Tested by

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