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@ -11,6 +11,7 @@
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import sys
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import time
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from collections import OrderedDict
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@ -189,8 +190,12 @@ class Trainer():
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"step": self.iteration,
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"epoch": self.epoch,
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"lr": self.optimizer.get_lr(),
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"scaler": self.scaler.state_dict()
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})
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if self.scaler:
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scaler_path = os.path.join(self.checkpoint_dir,
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"{}".format(self.epoch)) + '.scaler'
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paddle.save(self.scaler.state_dict(), scaler_path)
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self.checkpoint.save_parameters(self.checkpoint_dir, self.iteration
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if tag is None else tag, self.model,
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self.optimizer, infos)
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@ -213,8 +218,13 @@ class Trainer():
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# lr will resotre from optimizer ckpt
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self.iteration = infos["step"]
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self.epoch = infos["epoch"]
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self.scaler = paddle.amp.GradScaler()
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self.scaler.load_state_dict(infos["scaler"])
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scaler_path = os.path.join(self.checkpoint_dir,
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"{}".format(self.epoch)) + '.scaler'
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if os.path.exists(scaler_path):
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scaler_state_dict = paddle.load(scaler_path)
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self.scaler.load_state_dict(scaler_state_dict)
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scratch = False
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logger.info(
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f"Restore ckpt: epoch {self.epoch }, step {self.iteration}!")
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