How to use set_pb method in fMBT

Best Python code snippet using fMBT_python

nb_09c.py

Source:nb_09c.py Github

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...34 self.mbar.on_iter_begin()35 self.run.logger = partial(self.mbar.write, table=True)36 def after_fit(self): self.mbar.on_iter_end()37 def after_batch(self): self.pb.update(self.iter)38 def begin_epoch (self): self.set_pb()39 def begin_validate(self): self.set_pb()40 def set_pb(self):41 self.pb = progress_bar(self.dl, parent=self.mbar)...

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get_pb.py

Source:get_pb.py Github

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...14 for video in video_json:15 if video['row'] == 8 and video['column'] == 8 and video['mine_num'] == 10:16 bv = video['bbbv']17 if bv in pb['beg']:18 pb['beg'][bv] = set_pb(pb['beg'][bv], video)19 else:20 pb['beg'][bv] = set_pb(None, video)21 elif video['row'] == 16 and video['column'] == 16 and video['mine_num'] == 40:22 bv = video['bbbv']23 if bv in pb['int']:24 pb['int'][bv] = set_pb(pb['int'][bv], video)25 else:26 pb['int'][bv] = set_pb(None, video)27 elif video['row'] == 16 and video['column'] == 30 and video['mine_num'] == 99:28 bv = video['bbbv']29 if bv in pb['exp']:30 pb['exp'][bv] = set_pb(pb['exp'][bv], video)31 else:32 pb['exp'][bv] = set_pb(None, video)33 else:34 ...35 click.echo(json.dumps(pb))36 37def set_pb(old, new):38 if old:39 if old['rtime'] < new['rtime']:40 return old41 return {'rtime': new['rtime'], 'file': new['file']}42 43 44if __name__ == '__main__':45 main() 46 47 48 49 50 51 ...

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progressbarcallback.py

Source:progressbarcallback.py Github

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...11 self.run.logger = partial(self.mbar.write, table=True)12 self.iter_in_dl = 013 def begin_epoch(self):14 self.iter_in_dl = 015 self.set_pb()16 self.pb.update(self.iter_in_dl)17 self.epoch += 118 def after_loss(self):19 self.mbar.child.comment = 'Loss: {:.3f}'.format(self.recorder.records['loss'][-1])20 def after_batch(self):21 self.iter_in_dl += 122 self.pb.update(self.iter_in_dl)23 def begin_validate(self):24 self.iter_in_dl = 025 self.set_pb()26 self.pb.update(self.iter_in_dl)27 def after_all_batches(self):28 if self.run.training_canceled:29 self.mbar.write('Training cancelled at epoch %s - iter %s' % (self.epoch, self.run.iter))30 return True31 stats = 'Epoch {} - '.format(self.epoch)32 stats += self.stage + ': '33 for k in self.run.metrics[self.stage].keys():34 if self.metrics[self.stage][k]:35 stats += '{} - {:.2f} '.format(k, self.run.metrics[self.stage][k][-1])36 stats += ' '37 self.mbar.write(stats[:-1])38 def after_fit(self):39 self.mbar.on_iter_end()40 def set_pb(self):41 self.pb = progress_bar(self.run.dl, parent=self.mbar)...

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