package config

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• required string data_file = 1

• required string dataset_name = 2

• optional string labels_file = 3

• optional string num_frames_file = 4

• optional int32 num_frames = 5

• optional int32 stride = 6

• optional bool randomize = 7

• optional int32 batch_size = 8

• optional Data.DatasetType dataset_type = 9

• optional int32 image_size = 10

  This must be specified only if it cannot be detrmined from any h5 file. For example BOUNCING_MNIST

• optional int32 num_digits = 11

• optional float step_length = 12

• optional string video_ids_file = 13

  Choose only some videos from the data. Used for running on subsets.

• optional int32 image_size_x = 14

• optional int32 image_size_y = 15

• optional int32 patch_size_x = 16

• optional int32 patch_size_y = 17

• optional int32 num_colors = 18

• optional string mean_file = 19

• optional int32 sample_times = 20

Used in: Data

• LABELLED = 0

• UNLABELLED = 1

• BOUNCING_MNIST = 2

• BOUNCING_MNIST_FIXED = 3

• VIDEO_PATCH = 4

Used in: Model

• required string name = 1

• required int32 num_hid = 2

• optional Param w_dense = 3

• optional Param w_diag = 4

• optional Param b = 5

• optional Param w_input = 6

• optional Param w_output = 7

• optional Param b_output = 8

• optional bool has_input = 9

• optional bool has_output = 10

• optional bool use_relu = 11

• optional int32 input_dims = 12

• optional int32 output_dims = 13

• optional float input_dropprob = 14

• optional float output_dropprob = 15

Used in: Model

• required string name = 1

• required int32 num_inputs = 2

• required int32 num_outputs = 3

• optional Param w = 4

• optional Param b = 5

• optional float dropprob = 6

• required string name = 1

• repeated LSTM lstm = 2

• required Logreg logreg = 3

• repeated string timestamp = 4

• optional string checkpoint_dir = 5

• optional int32 max_iters = 6

• optional int32 print_after = 7

• optional int32 validate_after = 8

• optional int32 save_after = 9

• optional int32 display_after = 10

• optional int32 dec_seq_length = 11

  Autoencoders.

• repeated LSTM lstm_dec = 12

• optional bool squash_relu = 13

• optional float squash_relu_lambda = 14

• optional bool binary_data = 15

• optional int32 future_seq_length = 16

  Future predictor

• repeated LSTM lstm_future = 17

• optional bool dec_conditional = 18

  Conditional.

• optional bool future_conditional = 19

• optional bool decoder_copy_init_state = 20

• optional bool future_copy_init_state = 21

• optional bool relu_data = 22

Used in: LSTM, Logreg

• optional Param.InitType init_type = 1

• optional float scale = 2

• optional float epsilon = 3

• optional float momentum = 4

• optional float l2_decay = 5

• optional float gradient_clip = 6

• optional float eps_decay_factor = 7

• optional int32 eps_decay_after = 8

• optional string file_name = 9

  For loading pretrained parameters.

• optional string dataset_name = 10

Used in: Param

• CONSTANT = 0

• GAUSSIAN = 1

• UNIFORM = 2

• PRETRAINED = 3