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117 lines
3.1 KiB
Python
117 lines
3.1 KiB
Python
# constants for configuration parameters of our tensorflow models
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LABEL = "label"
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IDS = "ids"
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# LABEL_PAD_ID is used to pad multi-label training examples.
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# It should be < 0 to avoid index out of bounds errors by tf.one_hot.
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LABEL_PAD_ID = -1
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HIDDEN_LAYERS_SIZES = "hidden_layers_sizes"
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SHARE_HIDDEN_LAYERS = "share_hidden_layers"
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TRANSFORMER_SIZE = "transformer_size"
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NUM_TRANSFORMER_LAYERS = "number_of_transformer_layers"
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NUM_HEADS = "number_of_attention_heads"
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UNIDIRECTIONAL_ENCODER = "unidirectional_encoder"
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KEY_RELATIVE_ATTENTION = "use_key_relative_attention"
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VALUE_RELATIVE_ATTENTION = "use_value_relative_attention"
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MAX_RELATIVE_POSITION = "max_relative_position"
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BATCH_SIZES = "batch_size"
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BATCH_STRATEGY = "batch_strategy"
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EPOCHS = "epochs"
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RANDOM_SEED = "random_seed"
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LEARNING_RATE = "learning_rate"
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DENSE_DIMENSION = "dense_dimension"
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CONCAT_DIMENSION = "concat_dimension"
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EMBEDDING_DIMENSION = "embedding_dimension"
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ENCODING_DIMENSION = "encoding_dimension"
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SIMILARITY_TYPE = "similarity_type"
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LOSS_TYPE = "loss_type"
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NUM_NEG = "number_of_negative_examples"
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MAX_POS_SIM = "maximum_positive_similarity"
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MAX_NEG_SIM = "maximum_negative_similarity"
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USE_MAX_NEG_SIM = "use_maximum_negative_similarity"
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SCALE_LOSS = "scale_loss"
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REGULARIZATION_CONSTANT = "regularization_constant"
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NEGATIVE_MARGIN_SCALE = "negative_margin_scale"
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DROP_RATE = "drop_rate"
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DROP_RATE_ATTENTION = "drop_rate_attention"
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DROP_RATE_DIALOGUE = "drop_rate_dialogue"
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DROP_RATE_LABEL = "drop_rate_label"
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CONSTRAIN_SIMILARITIES = "constrain_similarities"
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CONNECTION_DENSITY = "connection_density"
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EVAL_NUM_EPOCHS = "evaluate_every_number_of_epochs"
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EVAL_NUM_EXAMPLES = "evaluate_on_number_of_examples"
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INTENT_CLASSIFICATION = "intent_classification"
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ENTITY_RECOGNITION = "entity_recognition"
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MASKED_LM = "use_masked_language_model"
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SPARSE_INPUT_DROPOUT = "use_sparse_input_dropout"
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DENSE_INPUT_DROPOUT = "use_dense_input_dropout"
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RANKING_LENGTH = "ranking_length"
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RENORMALIZE_CONFIDENCES = "renormalize_confidences"
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MODEL_CONFIDENCE = "model_confidence"
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BILOU_FLAG = "BILOU_flag"
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RETRIEVAL_INTENT = "retrieval_intent"
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USE_TEXT_AS_LABEL = "use_text_as_label"
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SOFTMAX = "softmax"
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MARGIN = "margin"
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AUTO = "auto"
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INNER = "inner"
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COSINE = "cosine"
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CROSS_ENTROPY = "cross_entropy"
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BALANCED = "balanced"
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SEQUENCE = "sequence"
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SEQUENCE_LENGTH = f"{SEQUENCE}_lengths"
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SENTENCE = "sentence"
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POOLING = "pooling"
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MAX_POOLING = "max"
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MEAN_POOLING = "mean"
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TENSORBOARD_LOG_DIR = "tensorboard_log_directory"
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TENSORBOARD_LOG_LEVEL = "tensorboard_log_level"
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SEQUENCE_FEATURES = "sequence_features"
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SENTENCE_FEATURES = "sentence_features"
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FEATURIZERS = "featurizers"
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CHECKPOINT_MODEL = "checkpoint_model"
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MASK = "mask"
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IGNORE_INTENTS_LIST = "ignore_intents_list"
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TOLERANCE = "tolerance"
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POSITIVE_SCORES_KEY = "positive_scores"
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NEGATIVE_SCORES_KEY = "negative_scores"
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RANKING_KEY = "label_ranking"
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QUERY_INTENT_KEY = "query_intent"
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SCORE_KEY = "score"
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THRESHOLD_KEY = "threshold"
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SEVERITY_KEY = "severity"
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NAME = "name"
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TF_DETERMINISTIC_OPS = "TF_DETERMINISTIC_OPS"
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EPOCH_OVERRIDE = "epoch_override"
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USE_GPU = "use_gpu"
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RUN_EAGERLY = "run_eagerly"
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DROP_SMALL_LAST_BATCH = "drop_small_last_batch"
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