# AUTOGENERATED BY NBDEV! DO NOT EDIT!

__all__ = ["index", "modules", "custom_doc_links", "git_url"]

index = {"BaseModel": "00_core.ipynb",
         "adam": "06_optimizers.ipynb",
         "handle_interrupt": "00_core.ipynb",
         "Trainer": "00_core.ipynb",
         "DEVICE": "01_utils.ipynb",
         "hasarg": "01_utils.ipynb",
         "quick_stats": "01_utils.ipynb",
         "concat": "01_utils.ipynb",
         "weighted_avg": "01_utils.ipynb",
         "identity": "01_utils.ipynb",
         "tensor_dict_diffs": "01_utils.ipynb",
         "find_tensors": "01_utils.ipynb",
         "TorchCallback": "02_callbacks.ipynb",
         "BasicConfig": "02_callbacks.ipynb",
         "StatsHandler": "02_callbacks.ipynb",
         "MetricPrinter": "02_callbacks.ipynb",
         "BatchMetricPrinter": "02_callbacks.ipynb",
         "EarlyStopper": "02_callbacks.ipynb",
         "PerformanceThreshold": "02_callbacks.ipynb",
         "ModelCheckpoint": "02_callbacks.ipynb",
         "MetricHistory": "02_callbacks.ipynb",
         "S3Uploader": "02_callbacks.ipynb",
         "EC2Closer": "02_callbacks.ipynb",
         "ModelUnfreezer": "02_callbacks.ipynb",
         "SchedulerMixin": "02_callbacks.ipynb",
         "CosineLRScheduler": "02_callbacks.ipynb",
         "AdaptiveSawtoothScheduler": "02_callbacks.ipynb",
         "percent_positive": "03_metrics.ipynb",
         "mean_soft_prediction": "03_metrics.ipynb",
         "std_soft_prediction": "03_metrics.ipynb",
         "batch_size": "03_metrics.ipynb",
         "GRelu": "04_layers.ipynb",
         "JRelu": "04_layers.ipynb",
         "Mish": "04_layers.ipynb",
         "mish": "04_layers.ipynb",
         "ConvBlock": "04_layers.ipynb",
         "ResBlock": "04_layers.ipynb",
         "ReflectionPaddedConv2d": "04_layers.ipynb",
         "Dropin": "04_layers.ipynb",
         "PaddedEmbedding": "04_layers.ipynb",
         "BloomEmbedding": "04_layers.ipynb",
         "LinearSkipBlock": "04_layers.ipynb",
         "LinearResBlock": "04_layers.ipynb",
         "LinearDenseBlock": "04_layers.ipynb",
         "WeightedLinearResBlock": "04_layers.ipynb",
         "NLP": "05_nlp.ipynb",
         "tokenize": "05_nlp.ipynb",
         "tokenize_many": "05_nlp.ipynb",
         "Vocabulary": "05_nlp.ipynb",
         "Embeddings": "05_nlp.ipynb",
         "back_translate": "05_nlp.ipynb",
         "postprocess_embeddings": "05_nlp.ipynb",
         "compress_embeddings": "05_nlp.ipynb",
         "variable_lr_optimizer": "06_optimizers.ipynb",
         "update_optimizer": "06_optimizers.ipynb",
         "probabilistic_hash_item": "07_data.ipynb",
         "probabilistic_hash_tensor": "07_data.ipynb",
         "smooth_soft_labels": "08_losses.ipynb",
         "soft_label_cross_entropy_with_logits": "08_losses.ipynb",
         "soft_label_cross_entropy": "08_losses.ipynb",
         "most_common_errors": "09_fast_utils.ipynb",
         "n_groups": "09_fast_utils.ipynb",
         "complete_sentence": "09_fast_utils.ipynb",
         "LRPicker": "09_fast_utils.ipynb",
         "ULMFineTuner": "09_fast_utils.ipynb",
         "FastLabelEncoder": "09_fast_utils.ipynb"}

modules = ["core.py",
           "utils.py",
           "callbacks.py",
           "metrics.py",
           "layers.py",
           "nlp.py",
           "optimizers.py",
           "data.py",
           "losses.py",
           "fast_utils.py"]

doc_url = "https://hdmamin.github.io/incendio/"

git_url = "https://github.com/hdmamin/incendio/tree/master/"


def custom_doc_links(name): return None