#!/bin/bash

PHASE2_DATA_DPATH=/flash/smart_data_dvc
PHASE2_EXPT_DPATH=$HOME/data/dvc-repos/smart_expt_dvc

WORKDIR=$PHASE2_EXPT_DPATH/training/$HOSTNAME/$USER
DATASET_CODE=Aligned-Drop4-2022-08-08-TA1-S2-L8-ACC
KWCOCO_BUNDLE_DPATH=$PHASE2_DATA_DPATH/$DATASET_CODE

TRAIN_FPATH=$KWCOCO_BUNDLE_DPATH/data_train.kwcoco.json
VALI_FPATH=$KWCOCO_BUNDLE_DPATH/data_vali.kwcoco.json
TEST_FPATH=$KWCOCO_BUNDLE_DPATH/data_vali.kwcoco.json

EXPERIMENT_NAME=Drop4_BAS_Heterogeneous_Multi
DEFAULT_ROOT_DIR=$WORKDIR/$DATASET_CODE/runs/$EXPERIMENT_NAME
python -m geowatch.tasks.fusion fit \
    --config=config_common.yaml \
    --config=config_bas_native.yaml \
    --model.init_args.name=$EXPERIMENT_NAME \
    --data.train_dataset="$TRAIN_FPATH" \
    --data.vali_dataset="$VALI_FPATH" \
    --data.num_workers=8 \
    --trainer.default_root_dir="$DEFAULT_ROOT_DIR" \
    --trainer.accelerator="gpu" \
    --trainer.devices=1 \
    --trainer.precision=16 \
    --trainer.max_steps=200000
    # --trainer.detect_anomaly=true \
