# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
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from hydra.core.config_store import ConfigStore

cs = ConfigStore.instance()

"""
torchrun --nproc_per_node=2 --master_port=12341 -m scripts.train --config=cosmos_predict2/configs/base/config.py -- experiment="action_conditional_predict2_video2world_2b_training"
"""
action_conditioned_predict2_video2world_2b_training = dict(
    defaults=[
        {"override /model": "action_conditioned_predict2_v2w_2b_fsdp"},
        {"override /optimizer": "fusedadamw"},
        {"override /ckpt_type": "standard"},
        {"override /data_train": "bridge_train"},
        "_self_",
    ],
    model=dict(
        config=dict(
            fsdp_shard_size=-1,
        )
    ),
    job=dict(group="debug", name="action_conditioned_predict2_video2world_2b_training_${now:%Y-%m-%d}_${now:%H-%M-%S}"),
    model_parallel=dict(
        context_parallel_size=1,
    ),
    dataloader_train=dict(
        batch_size=2,
    ),
    trainer=dict(
        distributed_parallelism="fsdp",
    ),
)


for _item in [
    # predict2_video2world_2b
    action_conditioned_predict2_video2world_2b_training,
]:
    # Get the experiment name from the global variable, e.g. exp01_wan_lora -> experiment_name = "exp01_wan_lora"
    experiment_name = [name.lower() for name, value in globals().items() if value is _item][0]

    cs.store(
        group="experiment",
        package="_global_",
        name=experiment_name,
        node=_item,
    )