Delete scripts

scripts/eval/eval_vlm.sh

@@ -1,27 +0,0 @@
-# Copyright 2025 Bytedance Ltd. and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-
-# Check if enough arguments are provided
-if [ $# -lt 2 ]; then
-    echo "Error: PREFIX_DIR and MODEL_PATH are required as the first and second arguments respectively."
-    exit 1
-fi
-
-LOG_PATH=$1
-if [ ! -d "$LOG_PATH" ]; then
-    mkdir -p "$LOG_PATH"
-fi
-shift 1
-ARGS=("$@")
-export MASTER_PORT=10042
-
-FULL_MODEL_PATH="$PREFIX_DIR/$MODEL_PATH"
-
-IFS=' ' read -r -a DATASETS <<< "$DATASETS_STR"
-
-for DATASET in "${DATASETS[@]}"; do
-    bash eval/vlm/evaluate.sh \
-        "$DATASET" \
-        --out-dir "$LOG_PATH/$DATASET" \
-        "${ARGS[@]}"
-done

scripts/eval/run_eval_vlm.sh

@@ -1,19 +0,0 @@
-# Copyright 2025 Bytedance Ltd. and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-
-set -x
-
-# Set proxy and API key
-export OPENAI_API_KEY=$openai_api_key
-
-export GPUS=1
-
-DATASETS=("mme" "mmbench-dev-en" "mmvet" "mmmu-val" "mathvista-testmini" "mmvp")
-# DATASETS=("mmmu-val_cot")
-
-DATASETS_STR="${DATASETS[*]}"
-export DATASETS_STR
-
-bash scripts/eval/eval_vlm.sh \
-    $output_path \
-    --model-path $model_path

scripts/eval/run_geneval.sh

@@ -1,40 +0,0 @@
-# Copyright 2025 Bytedance Ltd. and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-
-set -x
-
-GPUS=8
-
-# generate images
-torchrun \
-    --nnodes=1 \
-    --node_rank=0 \
-    --nproc_per_node=$GPUS \
-    --master_addr=127.0.0.1 \
-    --master_port=12345 \
-    ./eval/gen/gen_images_mp.py \
-    --output_dir $output_path/images \
-    --metadata_file ./eval/gen/geneval/prompts/evaluation_metadata_long.jsonl \
-    --batch_size 1 \
-    --num_images 4 \
-    --resolution 1024 \
-    --max_latent_size 64 \
-    --model-path $model_path \
-    # --metadata_file ./eval/gen/geneval/prompts/evaluation_metadata.jsonl \
-
-
-# calculate score
-torchrun \
-    --nnodes=1 \
-    --node_rank=0 \
-    --nproc_per_node=$GPUS \
-    --master_addr=127.0.0.1 \
-    --master_port=12345 \
-    ./eval/gen/geneval/evaluation/evaluate_images_mp.py \
-    $OUTPUT_DIR/images \
-    --outfile $OUTPUT_DIR/results.jsonl \
-    --model-path ./eval/gen/geneval/model
-
-
-# summarize score
-python ./eval/gen/geneval/evaluation/summary_scores.py $OUTPUT_DIR/results.jsonl

scripts/eval/run_wise.sh

@@ -1,44 +0,0 @@
-# Copyright 2025 Bytedance Ltd. and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-
-set -x
-
-export OPENAI_API_KEY=$openai_api_key
-
-GPUS=8
-
-
-# generate images
-torchrun \
-    --nnodes=1 \
-    --node_rank=0 \
-    --nproc_per_node=$GPUS \
-    --master_addr=127.0.0.1 \
-    --master_port=12345 \
-    ./eval/gen/gen_images_mp_wise.py \
-    --output_dir $output_path/images \
-    --metadata-file ./eval/gen/wise/final_data.json \
-    --resolution 1024 \
-    --max-latent_size 64 \
-    --model-path $model_path \
-    --think
-
-
-# calculate score
-python3 eval/gen/wise/gpt_eval_mp.py \
-        --json_path eval/gen/wise/data/cultural_common_sense.json \
-        --image_dir $output_path/images \
-        --output_dir $output_path
-
-python3 eval/gen/wise/gpt_eval_mp.py \
-        --json_path eval/gen/wise/data/spatio-temporal_reasoning.json \
-        --image_dir $output_path/images \
-        --output_dir $output_path
-
-python3 eval/gen/wise/gpt_eval_mp.py \
-        --json_path eval/gen/wise/data/natural_science.json \
-        --image_dir $output_path/images \
-        --output_dir $output_path
-
-python3 eval/gen/wise/cal_score.py \
-        --output_dir $output_path

scripts/train.sh

@@ -1,21 +0,0 @@
-# Copyright 2025 Bytedance Ltd. and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-
-# replace the variables with your own
-torchrun \
-  --nnodes=$num_nodes \
-  --node_rank=$node_rank \
-  --nproc_per_node=8 \
-  --master_addr=$master_addr \
-  --master_port=$master_port \
-  train/pretrain_unified_navit.py \
-  --dataset_config_file ./data/configs/example.yaml \
-  --llm_path $llm_path \
-  --vae_path $vae_path \
-  --vit_path $vit_path \
-  --use_flex True \
-  --resume_from $resume_from \
-  --results_dir $output_path \
-  --checkpoint_dir $ckpt_path \
-  --max_latent_size 64  \
-  --num_workers 1 # use small num_workers since the num_used_data (10) are not enough to split