o }oiN @slddlmZmZddlZddlmZddlmZddlmZm Z ddl m Z m Z dgZ Gddde eZdS) )DictOptionalN)nntransformer_weights_init) Exportable NeuralModule) ChannelType NeuralType ClassifiercseZdZdZedeeeeffddZ dde de ddffd d Z d e fd d ZdddZdefddZedefddZZS)r zJ A baseclass for modules to perform various classification tasks. returncCsdtdtiS)z Returns definitions of module input ports. We implement it here since all NLP classifiers have the same inputs hidden_states)BTD)r r )selfrd/home/ubuntu/.local/lib/python3.10/site-packages/nemo/collections/asr/parts/submodules/classifier.py input_types szClassifier.input_types hidden_sizedropoutNcs t||_t||_dS)z Initializes the Classifier base module. Args: hidden_size: the size of the hidden dimension dropout: dropout to apply to the input hidden states N)super__init__ _hidden_sizerDropoutr)rrr __class__rrr(s zClassifier.__init__use_transformer_initcCs|r |dddSdS)z Common post-processing to be called at the end of concrete Classifiers init methods Args: use_transformer_init : whether or not to apply transformer_weights_init cSs t|ddS)NF)xavierr)modulerrr:s z&Classifier.post_init..N)apply)rrrrr post_init3szClassifier.post_initcCs6t|}t|||j|j|j}t|gS)zs Generates input examples for tracing etc. Returns: A tuple of input examples. ) next parameterstorchrandnrtodevicedtypetuple)r max_batchmax_dimsampleexamplerrr input_example<s   zClassifier.input_example save_pathcCdS)z Saves the module to the specified path. Args: save_path: Path to where to save the module. Nr)rr3rrrsave_toFszClassifier.save_to restore_pathcCr4)z Restores the module from the specified path. Args: restore_path: Path to restore the module from. Nr)clsr6rrr restore_fromNszClassifier.restore_from)r)r$r%)__name__ __module__ __qualname____doc__propertyrrstrr rintfloatrboolr#r2r5 classmethodr8 __classcell__rrrrr s  )typingrrr(rnemo.collections.common.partsrnemo.core.classesrrnemo.core.neural_typesr r __all__r rrrrs