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Bon setup fin tests brutus
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2 changed files with 10 additions and 10 deletions
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@ -91,7 +91,7 @@ if __name__ == "__main__":
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print('-'*9)
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'''
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#### Augmented Model ####
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#'''
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'''
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t0 = time.process_time()
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tf_dict = {k: TF.TF_dict[k] for k in tf_names}
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#tf_dict = TF.TF_dict
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@ -117,9 +117,9 @@ if __name__ == "__main__":
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print('Execution Time : %.00f '%(time.process_time() - t0))
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print('-'*9)
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#'''
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#### TF tests ####
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'''
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#### TF tests ####
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#'''
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res_folder="res/brutus-tests/"
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epochs= 150
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inner_its = [1]
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@ -169,4 +169,4 @@ if __name__ == "__main__":
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#plot_resV2(log, fig_name=res_folder+filename, param_names=tf_names)
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print('-'*9)
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'''
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#'''
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@ -616,10 +616,10 @@ def run_dist_dataugV2(model, epochs=1, inner_it=0, dataug_epoch_start=0, print_f
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model_copy(src=fmodel, dst=model)
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optim_copy(dopt=diffopt, opt=inner_opt)
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if epoch>50:
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meta_opt.step()
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model['data_aug'].adjust_param(soft=False) #Contrainte sum(proba)=1
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#model['data_aug'].next_TF_set()
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#if epoch>50:
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meta_opt.step()
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model['data_aug'].adjust_param(soft=False) #Contrainte sum(proba)=1
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#model['data_aug'].next_TF_set()
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fmodel = higher.patch.monkeypatch(model, device=None, copy_initial_weights=True)
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diffopt = higher.optim.get_diff_optim(inner_opt, model.parameters(),fmodel=fmodel, track_higher_grads=high_grad_track)
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@ -683,8 +683,8 @@ def run_dist_dataugV2(model, epochs=1, inner_it=0, dataug_epoch_start=0, print_f
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model.augment(mode=True)
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if inner_it != 0: high_grad_track = True
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viz_sample_data(imgs=xs, labels=ys, fig_name='samples/data_sample_epoch{}_noTF'.format(epoch))
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viz_sample_data(imgs=model['data_aug'](xs), labels=ys, fig_name='samples/data_sample_epoch{}'.format(epoch))
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#viz_sample_data(imgs=xs, labels=ys, fig_name='samples/data_sample_epoch{}_noTF'.format(epoch))
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#viz_sample_data(imgs=model['data_aug'](xs), labels=ys, fig_name='samples/data_sample_epoch{}'.format(epoch))
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#print("Copy ", countcopy)
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return log
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