package caffe

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Used in: LayerParameter

• optional uint32 top_k = 1

• optional int32 ignore_label = 2

Used in: LayerParameter

• optional string bn_state = 1

Used in: LayerParameter

• repeated float data = 5

• repeated float diff = 6

• optional BlobShape shape = 7

  just for communication between old and new caffe

• optional int32 num = 1

• optional int32 channels = 2

• optional int32 height = 3

• optional int32 width = 4

Used in: BlobProto, LayerParameter

• repeated int64 dim = 5

• optional int32 num = 1

• optional int32 channels = 2

• optional int32 height = 3

• optional int32 width = 4

• optional bool forced = 6

Used in: LayerParameter

• optional int32 max_iter = 1

• optional float radius = 2

• optional float scale = 3

• optional float eps = 4

• optional float alpha = 5

Used in: LayerParameter

• repeated int32 channels = 1

Used in: LayerParameter

• optional uint32 context_h = 1

  Pad, kernel size, and stride are all given as a single value for equal dimensions in height and width or as Y, X pairs.

  The pooled output height

• optional uint32 context_w = 2

  The pooled output width

• optional string pool = 3

• optional string mode = 4

Used in: LayerParameter

• optional uint32 num_output = 1

• optional bool bias_term = 2

• optional uint32 pad = 3

• optional uint32 kernel_size = 4

• optional uint32 stride = 5

• optional uint32 filter_stride = 6

• optional FillerParameter weight_filler = 7

• optional uint32 group = 8

• optional string weight_file = 9

• optional uint32 multi = 10

• optional bool random_field = 11

Used in: LayerParameter

• repeated string source = 1

• optional string root_folder = 2

• optional uint32 batch_size = 3

• optional bool shuffle = 5

• optional bool random_skip = 6

• optional int32 channels = 1

• optional int32 height = 2

• optional int32 width = 3

• optional bytes data = 4

  the actual image data, in bytes

• optional int32 label = 5

• repeated float float_data = 6

  Optionally, the datum could also hold float data.

• optional bool encoded = 7

• repeated int32 multi_label = 8

Used in: LayerParameter

• optional float dropout_ratio = 1

  dropout ratio

Used in: LayerParameter

• optional string operation = 1

  element-wise operation

• repeated float coeff = 2

  blob-wise coefficient for SUM operation

• optional bool stable_prod_grad = 3

  Whether to use an asymptotically slower (for >2 inputs) but stabler method of computing the gradient for the PROD operation. (No effect for SUM op.)

• repeated bool backward = 4

  blob-wise coefficient for SUM operation

Used in: ConvolutionParameter, InnerProductParameter

• optional string type = 1

  The filler type.

• optional string variance_norm = 2

  Normalize the filler variance by fan_in, fan_out, or their average. Applies to 'xavier' and 'msra' fillers.

• optional float mean = 3

• optional float std = 4

Used in: LayerParameter

• optional uint32 num_output = 1

• optional bool bias_term = 2

• optional FillerParameter weight_filler = 3

Used in: NetParameter

• optional string name = 1

• optional int32 num = 2

• optional int32 channels = 3

• optional int32 height = 4

• optional int32 width = 5

Used in: LayerParameter

• optional float interp_ratio = 1

  interp ratio

• optional int32 stride = 2

• optional int32 kernel_size = 3

• optional int32 num_classes = 4

Used in: NetParameter, NetState

• optional string name = 1

  the layer name

• optional string type = 2

  the string to specify the layer type

• repeated string bottom = 3

  the name of the bottom blobs

• repeated string top = 4

  the name of the top blobs

• repeated int32 bottom_flow = 101

• repeated int32 top_flow = 102

• optional LayerProp include = 5

• repeated ParamSpec param = 6

• repeated BlobProto blobs = 7

• repeated LayerParameter branch = 8

• optional string bind_key = 9

• optional string bind_value = 10

• optional DataParameter data_param = 25

• optional TransformationParameter transform_param = 26

• optional ConvolutionParameter convolution_param = 27

• optional LossParameter loss_param = 28

• optional PoolingParameter pooling_param = 29

• optional InnerProductParameter inner_product_param = 30

• optional BatchNormParameter batch_norm_param = 31

• optional ShortcutParameter shortcut_param = 32

• optional AccuracyParameter accuracy_param = 33

• optional NormalizeParameter norm_param = 34

• optional ContextPoolingParameter context_pooling_param = 35

• optional CRFParameter crf_param = 36

• optional EltwiseParameter eltwise_param = 37

• optional ParseEvaluateParameter parse_evaluate_param = 38

• optional DropoutParameter dropout_param = 39

• optional InterpParameter interp_param = 40

• optional SecParameter sec_param = 41

• optional NoiseParameter noise_param = 42

• optional ReLUParameter relu_param = 43

• optional BlobShape shape_param = 44

• optional ConcatParameter concat_param = 45

• repeated BlobProto first_moment = 46

• repeated BlobProto second_moment = 47

• repeated int32 bottom_index = 48

Used in: LayerParameter

• optional float loss_weight = 2

• optional bool need_backward = 3

• optional float sec_loss_weight = 4

• optional float norm_value = 5

Used in: LayerParameter

• optional int32 ignore_label = 1

• optional float keep_portion = 2

• optional bool single_term = 3

Used in: SolverParameter

• optional float base_lr = 1

• optional string type = 2

• optional string lr_policy = 3

• optional float gamma = 4

• optional float power = 5

• optional int32 stepsize = 6

• repeated int32 stepvalue = 7

• optional float momentum = 8

• optional float weight_decay = 9

• optional int32 display = 11

• optional int32 average_loss = 12

• optional float momentum2 = 13

• optional float delta = 14

Used in: SolverParameter

• optional string name = 1

  consider giving the network a name

• repeated LayerParameter layer = 100

  protobuf copy the field by the order number, it can not be changed for properly copyed between our lib and caffe

• repeated string input = 3

  The input to the network

• repeated InputBlob input_blob = 5

• optional int32 num_flow = 6

Used in: SolverState

• repeated LayerParameter layer = 1

  The history for sgd solvers

• optional int32 adam_iter = 2

Used in: LayerParameter

• optional int32 num = 1

• optional int32 channels = 2

• optional int32 classes = 3

Used in: LayerParameter

• optional float scale_value = 1

• optional float eps = 2

Used in: LayerParameter

• optional float lr_mult = 1

• optional float decay_mult = 2

• optional float weight_norm = 3

• optional float weight_penalty = 4

Used in: LayerParameter

• optional int32 num_labels = 1

• repeated int32 ignore_label = 2

Used in: LayerParameter

• optional string pool = 1

  The pooling method

• optional uint32 pad = 2

  The padding size (equal in Y, X)

• optional uint32 kernel_size = 3

  The kernel size (square)

• optional uint32 stride = 4

  The stride (equal in Y, X)

• optional bool global_pool = 5

Used in: LayerParameter

• optional float negative_slope = 1

Used in: LayerParameter

• optional string sec_feature = 1

Used in: LayerParameter

• optional float scale = 1

• optional float dropout_ratio = 2

• optional uint32 groups = 3

--------------------------------------

• optional string net = 1

• optional NetParameter net_param = 2

• optional NetOptimizer net_opt = 3

• optional int32 max_iter = 4

• optional bool test_initialization = 5

• optional int32 test_interval = 6

• optional int32 test_iter = 7

• optional string eval_type = 8

• optional bool accumulate_batch_norm = 9

• optional uint32 accumulate_test_iter = 10

• optional uint32 accumulate_max_iter = 11

• optional int32 iter_size = 12

• optional int32 snapshot = 13

• optional string snapshot_prefix = 14

• optional string solver_type = 15

• optional int32 display = 16

• optional string bn_state = 18

• optional string drop_state = 19

• optional bool second_pass = 20

• optional string test_net = 21

• optional NetOptimizer g_net_opt = 100

• optional NetOptimizer d_net_opt = 101

• optional string g_net = 102

• optional NetParameter g_net_param = 103

• optional string d_net = 106

• optional NetParameter d_net_param = 107

• optional string d_interp_net = 110

• optional string d_aux_net = 111

• optional NetParameter d_interp_param = 112

• optional NetParameter d_aux_param = 113

--------------------------------------

• optional int32 iter = 1

  The current iteration

• optional string learned_net = 2

  The file that stores the learned net.

• optional NetState net_state = 3

• optional string d_state_file = 4

• optional string g_state_file = 5

Used in: LayerParameter

• optional bool mirror = 1

• optional int32 crop_size = 2

• optional int32 augment_size = 3

• repeated float mean_value = 4

• optional bool alter_color = 5

• optional bool pad_img = 6

• optional bool simple = 7

• optional bool center_crop = 8

• optional int32 ignore_label = 9

• optional bool random_scale = 10

• optional bool random_aspect = 11

• optional int32 resolution = 12

• optional int32 classes = 13

• optional bool random_rotate = 14