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for dl_idx, dl_metrics in enumerate(step_metrics):
if len(dl_metrics) == 0:
continue
reduced_epoch_metrics = dl_metrics[0].__class__.reduce_on_epoch_end(dl_metrics)
# make the keys 'k/dl'
reduced_epoch_metrics = self.__rename_keys_by_dataloader_idx(reduced_epoch_metrics, dl_idx, num_loaders)
# track the metrics
logger_metrics = reduced_epoch_metrics.get_epoch_log_metrics()
with __rename_keys_by_dataloader_idx
AttributeError 'dict' object has no attribute 'get_epoch_log_metrics'
wget https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/tests/collect_env_details.py
# For security purposes, please check the contents of collect_env_details.py before running it.
python collect_env_details.py
PyTorch Version (e.g., 1.0):
OS (e.g., Linux):
How you installed PyTorch (conda, pip, source):
Build command you used (if compiling from source):
Python version:
CUDA/cuDNN version:
GPU models and configuration:
Any other relevant information:
Additional context
The text was updated successfully, but these errors were encountered:
🐛 Bug
Please reproduce using the BoringModel and post here
with
__rename_keys_by_dataloader_idx
To Reproduce
Expected behavior
Environment
Please copy and paste the output from our
environment collection script
(or fill out the checklist below manually).
You can get the script and run it with:
conda
,pip
, source):Additional context
The text was updated successfully, but these errors were encountered: