""" Copyright 2020 Tianshu AI Platform. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ============================================================= """ from .base import Callback import numbers from tqdm import tqdm class MetricsLogging(Callback): def __init__(self, keys): super(MetricsLogging, self).__init__() self._keys = keys def __call__(self, engine): if engine.logger==None: return state = engine.state content = "Iter %d/%d (Epoch %d/%d, Batch %d/%d)"%( state.iter, state.max_iter, state.current_epoch, state.max_epoch, state.current_batch_index, state.max_batch_index ) for key in self._keys: value = state.metrics.get(key, None) if value is not None: if isinstance(value, numbers.Number): content += " %s=%.4f"%(key, value) if engine.tb_writer is not None: engine.tb_writer.add_scalar(key, value, global_step=state.iter) elif isinstance(value, (list, tuple)): content += " %s=%s"%(key, value) engine.logger.info(content) class ProgressCallback(Callback): def __init__(self, max_iter=100, tag=None): self._max_iter = max_iter self._tag = tag #self._pbar = tqdm(total=self._max_iter, desc=self._tag) def __call__(self, engine): self._pbar.update(1) if self._pbar.n==self._max_iter: self._pbar.close() def reset(self): self._pbar = tqdm(total=self._max_iter, desc=self._tag)