use convolution layer to extract feature . Args: inputs (tensor): Input tensor. Returns: Output of the final c

MBConvBlock's forward function. Args: inputs (tensor): Input tensor. drop_connect_rate (bool): Drop connect rate (floa

EfficientNet's forward function. Calls extract_features to extract features, applies final linear layer, and returns logits. Args:

Create an efficientnet model according to name. Args: model_name (str): Name for efficientnet. weights_path (None or s

Set the default mask for cli

Get the input image size for a given efficientnet model. Args: model_name (str): Name for efficientnet. Returns:

Check whether the object has a method. Args: method (str): The method name to check. obj (object): The object to check. Return

Import modules from the given list of strings. Args: imports (list | str | None): The given module names to be imported. allow_fai

Check whether it is a list of some type. A partial method of :func:`is_seq_of`.

Check if a method of base class is overridden in derived class. Args: method (str): the method name to check. base_class (type): t

Whether the input is an string instance. Note: This method is deprecated since python 2 is no longer supported.

Check whether it is a tuple of some type. A partial method of :func:`is_seq_of`.

Cast elements of an iterable object into a list of some type. A partial method of :func:`iter_cast`.

A decorator to check if some executable files are installed. Example: >>> @requires_executable('ffmpeg') >>> func(arg1, args):

A decorator to check if some python packages are installed. Example: >>> @requires_package('numpy') >>> func(arg1, args):

Sets swish function as memory efficient (for training) or standard (for export). Args: memory_efficient (bool): Whether to use mem

Slice a list into several sub lists by a list of given length. Args: in_list (list): The list to be sliced. lens(int or list): The

Cast elements of an iterable object into a tuple of some type. A partial method of :func:`iter_cast`.