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Used in: ClassifyParameter, LaneFeatureConvParameter, ObsFeatureFCParameter, RegressParameter

• optional string activation = 1

Used in: CruiseModelParameter

• optional int32 kernel_size = 1

• optional int32 stride = 2

Used in: Channels

• optional string descriptor = 1

• required string name = 2

• required uint32 extraction_rate = 3

Used in: DataExtractionConfig

• repeated ChannelConfig channel = 1

Used in: CruiseModelParameter

• optional DenseParameter linear_0 = 1

• optional ActivationParameter activation_1 = 2

• optional DenseParameter linear_3 = 3

• optional ActivationParameter activation_4 = 4

• optional DenseParameter linear_6 = 5

• optional ActivationParameter activation_7 = 6

• optional DenseParameter linear_9 = 7

• optional ActivationParameter activation_10 = 8

Used in: LaneFeatureConvParameter

• repeated int32 shape = 1

• optional bool use_bias = 2

• optional TensorParameter kernel = 3

• optional TensorParameter bias = 4

• optional int32 stride = 5

next id =

• optional LaneFeatureConvParameter lane_feature_conv = 1

• optional MaxPool1dParameter lane_feature_maxpool = 2

• optional AvgPool1dParameter lane_feature_avgpool = 3

• optional ObsFeatureFCParameter obs_feature_fc = 5

• optional ClassifyParameter classify = 6

• optional RegressParameter regress = 7

• required IoConfig io_config = 1

• required Channels channels = 2

• required Records records = 3

Used in: ClassifyParameter, ObsFeatureFCParameter, RegressParameter

• optional int32 units = 1

• optional string activation = 2

• optional bool use_bias = 3

• optional TensorParameter weights = 4

• optional TensorParameter bias = 5

• optional int32 dim_input = 1

• optional Vector samples_mean = 2

• optional Vector samples_std = 3

• optional int32 num_layer = 4

• repeated Layer layer = 5

  num_layer must equal to first layer layer_input_dim

• optional int32 dim_output = 6

  dim_ouput must equal to last layer layer_output_dim

• repeated int32 input_shape = 1

• optional string dtype = 2

  data type of the input

• optional bool sparse = 3

Used in: DataExtractionConfig

• required string task_name = 1

• required string output_path = 2

• optional string start_timestamp = 3

• optional string end_timestamp = 4

Used in: CruiseModelParameter

• optional Conv1dParameter conv1d_0 = 1

• optional ActivationParameter activation_1 = 2

• optional Conv1dParameter conv1d_2 = 3

• optional ActivationParameter activation_3 = 4

• optional Conv1dParameter conv1d_4 = 5

Used in: FnnModel

• optional int32 layer_input_dim = 1

• optional int32 layer_output_dim = 2

• optional Matrix layer_input_weight = 3

  weight matrix of |input_dim| x |output_dim|

• optional Vector layer_bias = 4

  vector of bias, size of |output_dim|

• optional Layer.ActivationFunc layer_activation_func = 5

Used in: Layer

• RELU = 0

• TANH = 1

• SIGMOID = 2

• SOFTMAX = 3

• optional double max_match_distance = 1

• optional double bound_match_distance = 2

Used in: Layer

• repeated Vector rows = 1

Used in: CruiseModelParameter

• optional int32 kernel_size = 1

• optional int32 stride = 2

Used in: CruiseModelParameter

• optional DenseParameter linear_0 = 1

• optional ActivationParameter activation_1 = 2

• optional DenseParameter linear_3 = 3

• optional ActivationParameter activation_4 = 4

Used in: DataExtractionConfig

• repeated string record_path = 1

Used in: CruiseModelParameter

• optional DenseParameter linear_0 = 1

• optional ActivationParameter activation_1 = 2

• optional DenseParameter linear_3 = 3

• optional ActivationParameter activation_4 = 4

• optional DenseParameter linear_6 = 5

• optional ActivationParameter activation_7 = 6

• optional DenseParameter linear_9 = 7

• optional ActivationParameter activation_10 = 8

Used in: Conv1dParameter, DenseParameter

• repeated float data = 1

• repeated int32 shape = 2

Used in: FnnModel, Layer, Matrix

• repeated double columns = 1