credit.applications.rollout_to_netcdf_gen2
==========================================

.. py:module:: credit.applications.rollout_to_netcdf_gen2

.. autoapi-nested-parse::

   rollout_to_netcdf_gen2.py
   -------------------------
   Rollout entry point for the v2 data schema (conf["data"]["source"]).

   Key differences from rollout_to_netcdf.py (v1):
     - No credit_main_parser / predict_data_check (those are v1-only)
     - Uses LocalDataset + build_preblocks/apply_preblocks for data loading
     - Inverse-normalization built from mean/std NC files (per-channel)
     - Injects flat data schema keys for output.py compatibility
     - forecast_len semantics: N steps at lead_time_periods hours per step

   Usage:
       torchrun --standalone --nnodes=1 --nproc-per-node=<N_GPUS> \
           applications/rollout_to_netcdf_gen2.py -c config/wxformer_025deg_6hr_gen2.yml

   Or submit via PBS (see scripts/casper_gen2.sh with SCRIPT=applications/rollout_to_netcdf_gen2.py).



Attributes
----------

.. autoapisummary::

   credit.applications.rollout_to_netcdf_gen2.logger


Functions
---------

.. autoapisummary::

   credit.applications.rollout_to_netcdf_gen2.predict
   credit.applications.rollout_to_netcdf_gen2.main


Module Contents
---------------

.. py:data:: logger

.. py:function:: predict(rank, world_size, conf, p)

.. py:function:: main()