U fb:1@sdZddlZddlZddlmZmZddlm Z ddl m Z ddl m Z ddlmZdd lmZmZdd lmZdd lmZddlZdd lmZddlZGd ddeZddZdS)z#Training code for `solaris` models.N) get_model reset_weights)make_data_generator)get_loss) get_optimizer) get_callbacks)TorchEarlyStoppingTorchTerminateOnNaN)TorchModelCheckpoint) get_metrics) _LRSchedulerc@s:eZdZdZd ddZddZddZd d Zd d ZdS)Trainerz_sz,Trainer.initialize_model..T)rrr#r!compiler)rr,r/r-r1rnn DataParallelr parametersrr+ isinstancer r"r5r8r:rAr;r7=sL          zTrainer.initialize_modelc Csh|js||jdkr8|jj|j|j|j|jdn,|jdkrdt |jD] }|j rht d ||j t|jD]8\}}tjr|jddddk rg}dg|jddD]}|t||qn |d}|d }nb|jddddk rJg}dg|jddD]}|t||q,n|d}|d }|j||}|||}||j|j r||d d kr|t d ||d dq|t@|jtjg} t|jD]\}}tjrl|jddddk rNg}dg|jddD]}|t||q,n |d}|d }nb|jddddk rg}dg|jddD]}|t||qn|d}|d }||} | || |qtt | } W5QRX|j r,t t d || t |!|"#$| "#$} | sNq\qN|%dS)zRun training on the model.r)validation_datarr+rzBeginning training epoch {} data_specsadditional_inputsNimagemask rz loss at batch {}: {}T)flushz# Validation loss at epoch {}: {})&r5r7r!r# fit_generatorr'r(rr+rangerprintformatr enumeraterr-r.r r"appendTensorfloatr) zero_gradrbackwardstepno_gradeval empty_cachemeanstack_run_torch_callbacksdetachcpunumpy save_model) r8epoch batch_idxbatchdatar@targetoutputrval_lossZ val_outputZcheck_continuer:r:r;rcs                           z Trainer.traincCs|jD]}t|tr8|||jr|jr0tddSqt|trf|||jr|jr^tddSqt|tr|jdkr||j |dq|jdkr||j |dq|jdkr||j |dqdS)Nz*Early stopping triggered - ending trainingFr) loss_valuerlperiodicT) r+rHr r6rrSr r monitorr#)r8rrlrBr:r:r;ras*       zTrainer._run_torch_callbackscCs||jdkr"|j|jddnV|jdkrxt|jtjjr\t|jj |jddnt|j |jdddS)zSave the final model output.rrmodel_dest_pathrN) r!r#saver rHrrErFmodule state_dictrIr:r:r;res    zTrainer.save_model)NN) __name__ __module__ __qualname____doc__r<r7rrarer:r:r:r;rs  (&drcCst|d}|dddkrB|ddkr2tdt|d}nB|dd}tjj|jtt||dd}|j |}|j |d }||fS) aGet the training and validation dfs based on the contents of ``config``. This function uses the logic described in the documentation for the config files to determine where to find training and validation dataset files. See the docs and the comments in solaris/data/config_skeleton.yml for details. Arguments --------- config : dict The loaded configuration dict for model training and/or inference. Returns ------- train_df, val_df : :class:`tuple` of :class:`dict` s :class:`dict` s containing two columns: ``'image'`` and ``'label'``. Each column corresponds to paths to find matching image and label files for training. training_data_csvrKZval_holdout_fracNZvalidation_data_csvzKIf val_holdout_frac isn't specified in config, validation_data_csv must be.F)replace)index) pdread_csv ValueErrornprandomchoicerzintlenlocdrop)r r%r&Zval_fracZ val_subsetr:r:r;r$s     r$)rwrdr~pandasr{model_iorrdatagenrlossesr optimizersrr+rtorch_callbacksr r r r,r rZtorch.optim.lr_schedulerr tensorflowr2objectrr$r:r:r:r;s        ^