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#!/usr/bin/env bash
#
# Copyright 2024 PKU-Alignment Team. All Rights Reserved.
#
# 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.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

export CC=/data/align-anything/miniconda3/envs/hantao_stable/bin/gcc
export CXX=/data/align-anything/miniconda3/envs/hantao_stable/bin/g++

export TRITON_CACHE_DIR="/home/align-anything/cache/triton"

export WANDB_API_KEY="7e2dcc0c310ebcb7cdcafd5e9320d6be55cf1a33"
export WANDB_MODE=online

MODEL_NAME_OR_PATH="/data/align-anything/hantao/models/chameleon-7b"

DATASET_PATH=(
    "/data/align-anything/hantao/data/mm_interp/AA_preference_cocour_new_step10/tokenized"
    "/data/align-anything/hantao/data/mm_interp/AA_preference_cosi_new_step10/tokenized"
    "/data/align-anything/hantao/data/mm_interp/AA_preference_l0_new_step10/tokenized"
    "/data/align-anything/hantao/data/mm_interp/AA_preference_random/tokenized"
)

DATASET_MIDDLE_NAME=(
    # "AA_preference_cocour_new_step10"
    # "AA_preference_cosi_new_step10"
    # "AA_preference_l0_new_step10"
    "AA_preference_random"
)

DATASET_NAME=(
    "q0_10_preference"
    "q0_20_preference"
    "q0_30_preference"
    "q0_40_preference"
    "q0_50_preference"
    "q0_60_preference"
    "q0_70_preference"
    "q0_80_preference"
    "q0_90_preference"
)

OUTPUT_PATH="/data/align-anything/hantao/align-anything/outputs/mm_interp"
mkdir -p $OUTPUT_PATH

# Initialize variables

for i in "${!DATASET_PATH[@]}"; do
    dataset_path="${DATASET_PATH[i]}"
    dataset_middle_name="${DATASET_MIDDLE_NAME[i]}"

    echo "Path = $dataset_path"
    echo "Name = $dataset_middle_name"
    for dataset_name in ${DATASET_NAME[@]}; do
        TRAIN_DATASETS=$dataset_path
        OUTPUT_DIR=$OUTPUT_PATH/$dataset_middle_name/$dataset_name
        mkdir -p $OUTPUT_DIR
        echo "Training on $TRAIN_DATASETS, output to $OUTPUT_DIR"

        # if pytorch_model.bin exists, skip
        if [ -f $OUTPUT_DIR/pytorch_model.bin ]; then
            echo "Pytorch model already exists, skipping"
            continue
        fi

        # Source the setup script
        source ./setup.sh

        # Execute deepspeed command
        deepspeed \
            --master_port ${MASTER_PORT} \
            --module align_anything.trainers.text_image_to_text_image.dpo \
            --model_name_or_path ${MODEL_NAME_OR_PATH} \
            --train_datasets ${TRAIN_DATASETS} \
            --output_dir ${OUTPUT_DIR} \
            --per_device_train_batch_size 4 \
            --per_device_eval_batch_size 4 \
            --gradient_accumulation_steps 2 \
            --train_template Chameleon_preference \
            --train_split train \
            --train_data_files ${dataset_name}.pt \
            --learning_rate 1e-6 \
            --epochs 3 \
            --lr_scheduler_type cosine \
            --save_interval 400 

        bash /data/align-anything/hantao/align-anything/outputs/cut.sh $OUTPUT_DIR
    done
done

	#!/usr/bin/env bash
	#
	# Copyright 2024 PKU-Alignment Team. All Rights Reserved.
	#
	# 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.
	# See the License for the specific language governing permissions and
	# limitations under the License.
	# ==============================================================================

	export CC=/data/align-anything/miniconda3/envs/hantao_stable/bin/gcc
	export CXX=/data/align-anything/miniconda3/envs/hantao_stable/bin/g++

	export TRITON_CACHE_DIR="/home/align-anything/cache/triton"

	export WANDB_API_KEY="7e2dcc0c310ebcb7cdcafd5e9320d6be55cf1a33"
	export WANDB_MODE=online

	MODEL_NAME_OR_PATH="/data/align-anything/hantao/models/chameleon-7b"

	DATASET_PATH=(
	"/data/align-anything/hantao/data/mm_interp/AA_preference_cocour_new_step10/tokenized"
	"/data/align-anything/hantao/data/mm_interp/AA_preference_cosi_new_step10/tokenized"
	"/data/align-anything/hantao/data/mm_interp/AA_preference_l0_new_step10/tokenized"
	"/data/align-anything/hantao/data/mm_interp/AA_preference_random/tokenized"
	)

	DATASET_MIDDLE_NAME=(
	# "AA_preference_cocour_new_step10"
	# "AA_preference_cosi_new_step10"
	# "AA_preference_l0_new_step10"
	"AA_preference_random"
	)

	DATASET_NAME=(
	"q0_10_preference"
	"q0_20_preference"
	"q0_30_preference"
	"q0_40_preference"
	"q0_50_preference"
	"q0_60_preference"
	"q0_70_preference"
	"q0_80_preference"
	"q0_90_preference"
	)

	OUTPUT_PATH="/data/align-anything/hantao/align-anything/outputs/mm_interp"
	mkdir -p $OUTPUT_PATH

	# Initialize variables

	for i in "${!DATASET_PATH[@]}"; do
	dataset_path="${DATASET_PATH[i]}"
	dataset_middle_name="${DATASET_MIDDLE_NAME[i]}"

	echo "Path = $dataset_path"
	echo "Name = $dataset_middle_name"
	for dataset_name in ${DATASET_NAME[@]}; do
	TRAIN_DATASETS=$dataset_path
	OUTPUT_DIR=$OUTPUT_PATH/$dataset_middle_name/$dataset_name
	mkdir -p $OUTPUT_DIR
	echo "Training on $TRAIN_DATASETS, output to $OUTPUT_DIR"

	# if pytorch_model.bin exists, skip
	if [ -f $OUTPUT_DIR/pytorch_model.bin ]; then
	echo "Pytorch model already exists, skipping"
	continue
	fi

	# Source the setup script
	source ./setup.sh

	# Execute deepspeed command
	deepspeed \
	--master_port ${MASTER_PORT} \
	--module align_anything.trainers.text_image_to_text_image.dpo \
	--model_name_or_path ${MODEL_NAME_OR_PATH} \
	--train_datasets ${TRAIN_DATASETS} \
	--output_dir ${OUTPUT_DIR} \
	--per_device_train_batch_size 4 \
	--per_device_eval_batch_size 4 \
	--gradient_accumulation_steps 2 \
	--train_template Chameleon_preference \
	--train_split train \
	--train_data_files ${dataset_name}.pt \
	--learning_rate 1e-6 \
	--epochs 3 \
	--lr_scheduler_type cosine \
	--save_interval 400

	bash /data/align-anything/hantao/align-anything/outputs/cut.sh $OUTPUT_DIR
	done
	done