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hi!:) a quick question: did anyone bump into the p...
# neural-forecast
m
hi!:) a quick question: did anyone bump into the pytorch lightning exception: `E pytorch_lightning.utilities.exceptions.MisconfigurationException: The provided lr scheduler 
StepLR
doesn’t follow PyTorch’s LRScheduler API. You should override the 
<http://LightningModule.lr|LightningModule.lr>_scheduler_step
hook with your own logic if you are using a custom LR scheduler.191` while running neuralforecast? we can run the example locally, but on the CI, it fails.
Successfully installed MarkupSafe-2.1.2 PyYAML-6.0 absl-py-1.4.0 aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 cachetools-5.3.0 certifi-2022.12.7 charset-normalizer-3.1.0 click-8.0.4 cmake-3.26.1 distlib-0.3.6 filelock-3.10.7 fold-models-0.0.1 frozenlist-1.3.3 fsspec-2023.3.0 google-auth-2.16.3 google-auth-oauthlib-0.4.6 grpcio-1.43.0 idna-3.4 importlib-metadata-6.1.0 jinja2-3.1.2 jsonschema-4.17.3 lit-16.0.0 markdown-3.4.3 mpmath-1.3.0 msgpack-1.0.5 multidict-6.0.4 networkx-3.0 neuralforecast-1.4.0 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 oauthlib-3.2.2 platformdirs-3.2.0 protobuf-3.20.1 pyDeprecate-0.3.2 pyasn1-0.4.8 pyasn1-modules-0.2.8 pyrsistent-0.19.3 pytorch-lightning-1.6.5 ray-2.0.1 requests-2.28.2 requests-oauthlib-1.3.1 rsa-4.9 sympy-1.11.1 tabulate-0.9.0 tensorboard-2.11.2 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorboardX-2.6 torch-2.0.0 torchmetrics-0.11.4 triton-2.0.0 typing-extensions-4.5.0 urllib3-1.26.15 virtualenv-20.21.0 werkzeug-2.2.3 wheel-0.40.0 yarl-1.8.2 zipp-3.15.0
z
I had this issue locally
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