diff --git a/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.008.sh b/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.008.sh
new file mode 100644
index 0000000000000000000000000000000000000000..dbb735d1a9d214ca10ec5dba2391d50a9ac81df4
--- /dev/null
+++ b/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.008.sh
@@ -0,0 +1,33 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+groupsum_delta=0.008
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/delta/mscr-sjd/mscr_sjd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+model_path=Alpha-VLLM/Lumina-mGPT-7B-768
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --model_path=$model_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=768 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.01.sh b/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.01.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f1d3406aa9c6d67b7ed0e49d32f52d1d8857a727
--- /dev/null
+++ b/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.01.sh
@@ -0,0 +1,33 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+groupsum_delta=0.01
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/delta/mscr-sjd/mscr_sjd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+model_path=Alpha-VLLM/Lumina-mGPT-7B-768
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --model_path=$model_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=768 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.1.sh b/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.1.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f5351a9af8c62a37b4c3904c77ad3554a1547c62
--- /dev/null
+++ b/scripts/ablation/delta/mscr-sjd/mscr_sjd_0.1.sh
@@ -0,0 +1,33 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+groupsum_delta=0.1
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/delta/mscr-sjd/mscr_sjd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+model_path=Alpha-VLLM/Lumina-mGPT-7B-768
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --model_path=$model_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=768 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/delta/mscr-sjd/mscr_sjd_1.sh b/scripts/ablation/delta/mscr-sjd/mscr_sjd_1.sh
new file mode 100644
index 0000000000000000000000000000000000000000..aae7c5860c0b87fbe6bf026838196096d104b9f0
--- /dev/null
+++ b/scripts/ablation/delta/mscr-sjd/mscr_sjd_1.sh
@@ -0,0 +1,33 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+groupsum_delta=1
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/delta/mscr-sjd/mscr_sjd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+model_path=Alpha-VLLM/Lumina-mGPT-7B-768
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --model_path=$model_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=768 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num/sjdtree_4.sh b/scripts/ablation/group_num/sjdtree_4.sh
new file mode 100644
index 0000000000000000000000000000000000000000..0d69c64b7bfca55d14a21f3dd91483e1945f5295
--- /dev/null
+++ b/scripts/ablation/group_num/sjdtree_4.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+tree_type=Grouped_Tree_4
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num/sjdtree_6.sh b/scripts/ablation/group_num/sjdtree_6.sh
new file mode 100644
index 0000000000000000000000000000000000000000..3ec54bfe041ddfc040c157657117d797679ea3d3
--- /dev/null
+++ b/scripts/ablation/group_num/sjdtree_6.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+tree_type=Grouped_Tree_6
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num/sjdtree_8.sh b/scripts/ablation/group_num/sjdtree_8.sh
new file mode 100644
index 0000000000000000000000000000000000000000..2d29f64470f29c37d4662ceab3851d0658c7253a
--- /dev/null
+++ b/scripts/ablation/group_num/sjdtree_8.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+tree_type=Grouped_Tree_8
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_10.sh b/scripts/ablation/group_num_short/sjdtree_10.sh
new file mode 100644
index 0000000000000000000000000000000000000000..27a4dc8b32aebe98c6967d710e88fc1bc91353fa
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_10.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_10
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_11.sh b/scripts/ablation/group_num_short/sjdtree_11.sh
new file mode 100644
index 0000000000000000000000000000000000000000..bbf98e547a74ac633132b341595ffc37c372e0d8
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_11.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_11
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_11_10.sh b/scripts/ablation/group_num_short/sjdtree_11_10.sh
new file mode 100644
index 0000000000000000000000000000000000000000..d791788e6505d3cf081a04a3d3e27c945302675c
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_11_10.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_11_10
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_11_6.sh b/scripts/ablation/group_num_short/sjdtree_11_6.sh
new file mode 100644
index 0000000000000000000000000000000000000000..10740995da08cfb2cf8cfc78495689e0e060d2a7
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_11_6.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_11_6
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_11_8.sh b/scripts/ablation/group_num_short/sjdtree_11_8.sh
new file mode 100644
index 0000000000000000000000000000000000000000..5b5d235f87b9e5849733bb4b09fb84dde294c1b2
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_11_8.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_11_8
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_12.sh b/scripts/ablation/group_num_short/sjdtree_12.sh
new file mode 100644
index 0000000000000000000000000000000000000000..89a99c15b15e227ed97fbc7f5e0229af93c235bb
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_12.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_12
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_2.sh b/scripts/ablation/group_num_short/sjdtree_2.sh
new file mode 100644
index 0000000000000000000000000000000000000000..cc48e152f2d3afdfffe3352e35fc507639acbff1
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_2.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_2
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_3.sh b/scripts/ablation/group_num_short/sjdtree_3.sh
new file mode 100644
index 0000000000000000000000000000000000000000..2d229dd743d95cc3f398f92c1bb50f02fa156e67
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_3.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_3
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_4.sh b/scripts/ablation/group_num_short/sjdtree_4.sh
new file mode 100644
index 0000000000000000000000000000000000000000..89ba5b5d7bb261822141eb33e33b36bd01c56598
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_4.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_4
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_5.sh b/scripts/ablation/group_num_short/sjdtree_5.sh
new file mode 100644
index 0000000000000000000000000000000000000000..2b5d3cc6984a07d348437d5b968a3adf556b780c
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_5.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_5
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_5_10.sh b/scripts/ablation/group_num_short/sjdtree_5_10.sh
new file mode 100644
index 0000000000000000000000000000000000000000..19d401a65dcbe5c0d58610c8df0722a942f664e3
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_5_10.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_5_10
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_6.sh b/scripts/ablation/group_num_short/sjdtree_6.sh
new file mode 100644
index 0000000000000000000000000000000000000000..250384a2f7b5eeb1c4cd10fc6b4b07d8516e106c
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_6.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_6
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_6_10.sh b/scripts/ablation/group_num_short/sjdtree_6_10.sh
new file mode 100644
index 0000000000000000000000000000000000000000..432a938f0ea953684f98f0727fa2ee6e884424f5
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_6_10.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_6_10
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_6_14.sh b/scripts/ablation/group_num_short/sjdtree_6_14.sh
new file mode 100644
index 0000000000000000000000000000000000000000..7c2fe9ecd867acbce4a284ccc7b2844018022dec
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_6_14.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_6_14
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_7.sh b/scripts/ablation/group_num_short/sjdtree_7.sh
new file mode 100644
index 0000000000000000000000000000000000000000..078d6930421a7fb10036b72e05e6e7b0efcfe758
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_7.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_7
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_8.sh b/scripts/ablation/group_num_short/sjdtree_8.sh
new file mode 100644
index 0000000000000000000000000000000000000000..dd64e62a25e1c1ee355d696ab0db9cc7941c36ce
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_8.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_8
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/sjdtree_9.sh b/scripts/ablation/group_num_short/sjdtree_9.sh
new file mode 100644
index 0000000000000000000000000000000000000000..946674bd8d0204d66dc3f96aa4959cb6b8553ff6
--- /dev/null
+++ b/scripts/ablation/group_num_short/sjdtree_9.sh
@@ -0,0 +1,30 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+tree_type=Grouped_Tree_9
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/group_num/sjd_test_${tree_type}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ --gres=gpu:1 \
+ -p DataFrontier_Knowledge \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --tree_choices=$tree_type > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/group_num_short/slurm-6200549.out b/scripts/ablation/group_num_short/slurm-6200549.out
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/scripts/ablation/group_num_short/slurm-6200585.out b/scripts/ablation/group_num_short/slurm-6200585.out
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/scripts/ablation/group_num_short/slurm-6200599.out b/scripts/ablation/group_num_short/slurm-6200599.out
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/scripts/ablation/group_num_short/slurm-6201430.out b/scripts/ablation/group_num_short/slurm-6201430.out
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/scripts/ablation/sematic/ms_sjd_random/ms_sjd_random.sh b/scripts/ablation/sematic/ms_sjd_random/ms_sjd_random.sh
new file mode 100644
index 0000000000000000000000000000000000000000..3aa9ed6524399698774500851351c66e4b2a2285
--- /dev/null
+++ b/scripts/ablation/sematic/ms_sjd_random/ms_sjd_random.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi_random'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-100'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/sematic/ms_sjd_random
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+model_path=Alpha-VLLM/Lumina-mGPT-7B-768
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --model_path=$model_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=768 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/sematic/ms_sjd_re_1/ms_sjd_re.sh b/scripts/ablation/sematic/ms_sjd_re_1/ms_sjd_re.sh
new file mode 100644
index 0000000000000000000000000000000000000000..ad6929f7f53d2a576c7916a4ce442e211c5a9b08
--- /dev/null
+++ b/scripts/ablation/sematic/ms_sjd_re_1/ms_sjd_re.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/sjdtree
+isp='random'
+method='speculative_jacobi_replace'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='1301-1600'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/ablation/sematic/ms_sjd_re
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+model_path=Alpha-VLLM/Lumina-mGPT-7B-768
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python /mnt/petrelfs/leihaodong/ICLR25/sjdtree/main.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --model_path=$model_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=768 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}_${slice}.log 2>&1
\ No newline at end of file
diff --git a/scripts/ablation/test_fast.sh b/scripts/ablation/test_fast.sh
new file mode 100644
index 0000000000000000000000000000000000000000..abd0c054279e352f097f9a97c68a976d1a777464
--- /dev/null
+++ b/scripts/ablation/test_fast.sh
@@ -0,0 +1,9 @@
+cd /mnt/petrelfs/leihaodong/ICLR25/scripts/ablation/group_num_short
+# echo 11
+# bash sjdtree_11.sh
+echo 6
+# sbatch --quotatype=auto sjdtree_12.sh
+sbatch \
+ -p DataFrontier_Knowledge \
+ --gres=gpu:1 \
+ sjdtree_12.sh
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/base.sh b/scripts/emu3/MSCOCO/base.sh
new file mode 100644
index 0000000000000000000000000000000000000000..411f5d4d2883fe7523ac3c80d2312f0de3c6b740
--- /dev/null
+++ b/scripts/emu3/MSCOCO/base.sh
@@ -0,0 +1,26 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=1
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='0-4000'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/base
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+  python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/gsd.sh b/scripts/emu3/MSCOCO/gsd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f7fb82045099a4dc371481789488ba7a612403cb
--- /dev/null
+++ b/scripts/emu3/MSCOCO/gsd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='group_speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='485-4000'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/gsd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/jd.sh b/scripts/emu3/MSCOCO/jd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..49e209de40d97929a295b365aa02050446437441
--- /dev/null
+++ b/scripts/emu3/MSCOCO/jd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='0-1'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/lantern.sh b/scripts/emu3/MSCOCO/lantern.sh
new file mode 100644
index 0000000000000000000000000000000000000000..bd29eb50057672d8d0396c8183ab5816e0a0a2e1
--- /dev/null
+++ b/scripts/emu3/MSCOCO/lantern.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='lantern'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='485-4000'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/lantern
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/ms_sjd.sh b/scripts/emu3/MSCOCO/ms_sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..43a7e97e52e434fea43afd011c18f389a838a8ca
--- /dev/null
+++ b/scripts/emu3/MSCOCO/ms_sjd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='0-4000'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/ms_sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/mscr_gsd.sh b/scripts/emu3/MSCOCO/mscr_gsd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..1f6e9548a8645dd70224c011a1e445eb17da5402
--- /dev/null
+++ b/scripts/emu3/MSCOCO/mscr_gsd.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='group_speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='485-4000'
+groupsum_delta=0.008
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/mscr_gsd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/mscr_gsd1.sh b/scripts/emu3/MSCOCO/mscr_gsd1.sh
new file mode 100644
index 0000000000000000000000000000000000000000..567a5011bda9a1fd7764836537129e149d14b122
--- /dev/null
+++ b/scripts/emu3/MSCOCO/mscr_gsd1.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='group_speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='0-4000'
+groupsum_delta=0.005
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/mscr_gsd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/mscr_sjd.sh b/scripts/emu3/MSCOCO/mscr_sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..b7883db03fbfc749da8a227af7f38c82618b8c3b
--- /dev/null
+++ b/scripts/emu3/MSCOCO/mscr_sjd.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='0-4000'
+groupsum_delta=0.05
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/mscr_sjd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/MSCOCO/sjd.sh b/scripts/emu3/MSCOCO/sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..5b7119ed7bc32c0b7d510c462d9ef4498885efcc
--- /dev/null
+++ b/scripts/emu3/MSCOCO/sjd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="MSCOCO2017Val"
+num_images=4000
+slice='485-4000'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/base.sh b/scripts/emu3/PP/base.sh
new file mode 100644
index 0000000000000000000000000000000000000000..8b5bb17680496cf31a5a4078ee80a22ffc36e6c3
--- /dev/null
+++ b/scripts/emu3/PP/base.sh
@@ -0,0 +1,37 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=1
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/base
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+  python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice > ${output_path}.log 2>&1
+
+# python main_emu3.py \
+#   --tokenizer_path=$tokenizer_path \
+#   --output_path=$output_path \
+#   --isp=$isp \
+#   --method=$method \
+#   --num_init_new_token=$num_init_new_token \
+#   --benchmark_way=$benchmark_way \
+#   --prompt=$prompt \
+#   --num_images=$num_images \
+#   --slice=$slice > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/gsd.sh b/scripts/emu3/PP/gsd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f90d797d89878e12b23dab3fcf192ab0860be076
--- /dev/null
+++ b/scripts/emu3/PP/gsd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='group_speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='485-1600'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/gsd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/jd.sh b/scripts/emu3/PP/jd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f60c5ca4b4b1d4a1eacc0f817b80cadc71ec354c
--- /dev/null
+++ b/scripts/emu3/PP/jd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/lantern.sh b/scripts/emu3/PP/lantern.sh
new file mode 100644
index 0000000000000000000000000000000000000000..238811b7f5144c5bb508495246074eaad00b178a
--- /dev/null
+++ b/scripts/emu3/PP/lantern.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='lantern'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='485-1600'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/lantern
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/ms_sjd.sh b/scripts/emu3/PP/ms_sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..60a54d28b93eca2a2033e90c782ed4a38f95d2ad
--- /dev/null
+++ b/scripts/emu3/PP/ms_sjd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/ms_sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/mscr_gsd.sh b/scripts/emu3/PP/mscr_gsd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..9a493eebb46f6a1720c54f3994c7bd4febdaa200
--- /dev/null
+++ b/scripts/emu3/PP/mscr_gsd.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='group_speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+groupsum_delta=0.008
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/mscr_gsd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/mscr_sjd.sh b/scripts/emu3/PP/mscr_sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..2b942d0f891948a9a1aa64d69b34b62aa4ebb57d
--- /dev/null
+++ b/scripts/emu3/PP/mscr_sjd.sh
@@ -0,0 +1,47 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+groupsum_delta=0.05
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/mscr_sjd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
+
+# python main_emu3.py \
+#     --tokenizer_path=$tokenizer_path \
+#     --output_path=$output_path \
+#     --model_path=$model_path \
+#     --isp=$isp \
+#     --method=$method \
+#     --num_init_new_token=$num_init_new_token \
+#     --benchmark_way=$benchmark_way \
+#     --prompt=$prompt \
+#     --num_images=$num_images \
+#     --slice=$slice \
+#     --static_tree \
+#     --groupsum_delta=$groupsum_delta \
+#     --target_size=720 \
+#     --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/PP/sjd.sh b/scripts/emu3/PP/sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..98525ceb099f98921aec15c9921e89d1c7e53981
--- /dev/null
+++ b/scripts/emu3/PP/sjd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="PartiPrompts"
+num_images=1600
+slice='0-1600'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/base.sh b/scripts/emu3/T2ICompBench/base.sh
new file mode 100644
index 0000000000000000000000000000000000000000..7cba09d963bc1d3de89282692dcf739c39a7c046
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/base.sh
@@ -0,0 +1,26 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=1
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='0-2400'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/base
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+  python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/gsd.sh b/scripts/emu3/T2ICompBench/gsd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..c7918d08aeee53af593c45ff8e6a928e1624f08a
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/gsd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='group_speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='485-2400'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/gsd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/jd.sh b/scripts/emu3/T2ICompBench/jd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..e30b17d74af177447deb116c051c5305857c3e58
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/jd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='0-1'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/lantern.sh b/scripts/emu3/T2ICompBench/lantern.sh
new file mode 100644
index 0000000000000000000000000000000000000000..ba743b367e7246c858180b7a9179699f35cc804d
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/lantern.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='lantern'
+num_init_new_token=16
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='485-2400'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/lantern
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/ms_sjd.sh b/scripts/emu3/T2ICompBench/ms_sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..8dbfcd55b7c6972feea7d21fdbb2b5bab7db0ab3
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/ms_sjd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='0-2400'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/ms_sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/mscr_gsd.sh b/scripts/emu3/T2ICompBench/mscr_gsd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..dd3257c1ea5f3edd23e39872187bdfc4156b5c15
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/mscr_gsd.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='group_speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='0-2400'
+groupsum_delta=0.008
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/mscr_gsd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/mscr_sjd.sh b/scripts/emu3/T2ICompBench/mscr_sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..367afd4f5a18847c4734f75307e629bd1cea7594
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/mscr_sjd.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi_groupsum'
+num_init_new_token=16
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='0-2400'
+groupsum_delta=0.05
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/mscr_sjd_${groupsum_delta}
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --groupsum_delta=$groupsum_delta \
+  --target_size=720 \
+  --tree_choices=Grouped_Tree_6 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/emu3/T2ICompBench/sjd.sh b/scripts/emu3/T2ICompBench/sjd.sh
new file mode 100644
index 0000000000000000000000000000000000000000..152d8ffd7eac624cdeabcd0fbf3fd51e26351935
--- /dev/null
+++ b/scripts/emu3/T2ICompBench/sjd.sh
@@ -0,0 +1,29 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/sjdtree
+isp='random'
+method='speculative_jacobi'
+num_init_new_token=16
+benchmark_way='order'
+prompt="T2ICompBenchVal"
+num_images=2400
+slice='0-2400'
+output_path=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/${prompt}/sjd
+tokenizer_path=/mnt/petrelfs/leihaodong/local_model/chameleon/tokenizer
+mkdir -p ${output_path}
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python main_emu3.py \
+  --tokenizer_path=$tokenizer_path \
+  --output_path=$output_path \
+  --isp=$isp \
+  --method=$method \
+  --num_init_new_token=$num_init_new_token \
+  --benchmark_way=$benchmark_way \
+  --prompt=$prompt \
+  --num_images=$num_images \
+  --slice=$slice \
+  --static_tree \
+  --target_size=720 \
+  --tree_choices=Line_16 > ${output_path}.log 2>&1
\ No newline at end of file
diff --git a/scripts/eval/eval.sh b/scripts/eval/eval.sh
new file mode 100644
index 0000000000000000000000000000000000000000..8c039e5d0bc21506557e6a44d0aa070d8bdf39a3
--- /dev/null
+++ b/scripts/eval/eval.sh
@@ -0,0 +1,40 @@
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/eval/eval_pp.sh
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/eval/eval_pp1.sh
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/eval/eval_pp2.sh
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/eval/eval_pp3.sh
+
+sbatch \
+ -p DataFrontier_Knowledge \
+ --gres=gpu:1 \
+ /mnt/petrelfs/leihaodong/ICLR25/scripts/eval/eval_pp4.sh
+
+sbatch \
+ -p DataFrontier_Knowledge \
+ --gres=gpu:1 \
+    /mnt/petrelfs/leihaodong/ICLR25/scripts/lumina_gpt/T2ICompBench/ms_sjd.sh
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/eval/eval_pp5.sh
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/eval/eval_pp6.sh
diff --git a/scripts/eval/eval_mscoco.sh b/scripts/eval/eval_mscoco.sh
new file mode 100644
index 0000000000000000000000000000000000000000..056cf4f5292f8e9feb0b9e15dac3aa195e6a63f0
--- /dev/null
+++ b/scripts/eval/eval_mscoco.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/captions_val2017.json
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Lumina-mGPT-7B-768_MSCOCO2017Val/base/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --coco_gt_path /mnt/petrelfs/leihaodong/local_dataset/val2017 \
+  --dataset_name coco \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_mscoco1.sh b/scripts/eval/eval_mscoco1.sh
new file mode 100644
index 0000000000000000000000000000000000000000..1ae438b4499cff1830fa2cf7350403564a8a2804
--- /dev/null
+++ b/scripts/eval/eval_mscoco1.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/captions_val2017.json
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/MSCOCO2017Val/base/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --coco_gt_path /mnt/petrelfs/leihaodong/local_dataset/val2017 \
+  --dataset_name coco \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_mscoco2.sh b/scripts/eval/eval_mscoco2.sh
new file mode 100644
index 0000000000000000000000000000000000000000..7a5d1f3bbbc20ce8cbb1cfb6974867ca142526ec
--- /dev/null
+++ b/scripts/eval/eval_mscoco2.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/captions_val2017.json
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/MSCOCO2017Val/gsd/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --coco_gt_path /mnt/petrelfs/leihaodong/local_dataset/val2017 \
+  --dataset_name coco \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_mscoco3.sh b/scripts/eval/eval_mscoco3.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f949d646c2f26f65b488b65b3ed7e4858f92fbb9
--- /dev/null
+++ b/scripts/eval/eval_mscoco3.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/captions_val2017.json
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/MSCOCO2017Val/lantern/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --coco_gt_path /mnt/petrelfs/leihaodong/local_dataset/val2017 \
+  --dataset_name coco \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_mscoco4.sh b/scripts/eval/eval_mscoco4.sh
new file mode 100644
index 0000000000000000000000000000000000000000..2419ec780383595fec2650ac1b74b19e1c97dd74
--- /dev/null
+++ b/scripts/eval/eval_mscoco4.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/captions_val2017.json
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/MSCOCO2017Val/ms_sjd/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --coco_gt_path /mnt/petrelfs/leihaodong/local_dataset/val2017 \
+  --dataset_name coco \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_mscoco5.sh b/scripts/eval/eval_mscoco5.sh
new file mode 100644
index 0000000000000000000000000000000000000000..a40e9d7f40436371632eb521e47ec818cabd2176
--- /dev/null
+++ b/scripts/eval/eval_mscoco5.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/captions_val2017.json
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/MSCOCO2017Val/mscr_gsd/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --coco_gt_path /mnt/petrelfs/leihaodong/local_dataset/val2017 \
+  --dataset_name coco \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_mscoco6.sh b/scripts/eval/eval_mscoco6.sh
new file mode 100644
index 0000000000000000000000000000000000000000..8eed46fd26a402c85da9a5582c5bd930722d45f9
--- /dev/null
+++ b/scripts/eval/eval_mscoco6.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/captions_val2017.json
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Emu3/MSCOCO2017Val/mscr_sjd_0.05/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --coco_gt_path /mnt/petrelfs/leihaodong/local_dataset/val2017 \
+  --dataset_name coco \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_pp2.sh b/scripts/eval/eval_pp2.sh
new file mode 100644
index 0000000000000000000000000000000000000000..9789c969e54c1fc689b589a5f6ef591a7e8a908a
--- /dev/null
+++ b/scripts/eval/eval_pp2.sh
@@ -0,0 +1,14 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/PartiPrompts.tsv
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Lumina-mGPT-7B-768_PartiPrompts/mscr_sjd_0.05/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --dataset_name parti_cocoformat \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_pp3.sh b/scripts/eval/eval_pp3.sh
new file mode 100644
index 0000000000000000000000000000000000000000..67244663a4dc888e5a07d24b7557a1d00bcf2e5c
--- /dev/null
+++ b/scripts/eval/eval_pp3.sh
@@ -0,0 +1,14 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/PartiPrompts.tsv
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Lumina-mGPT-7B-768_PartiPrompts/mscr_sjd_0.1/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --dataset_name parti_cocoformat \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/eval/eval_pp4.sh b/scripts/eval/eval_pp4.sh
new file mode 100644
index 0000000000000000000000000000000000000000..04b0664fe36f45c5837546ed1baface2f9c7d680
--- /dev/null
+++ b/scripts/eval/eval_pp4.sh
@@ -0,0 +1,14 @@
+#!/bin/sh
+cd /mnt/petrelfs/leihaodong/ICLR25/eval
+# HF_ENDPOINT=https://hf-mirror.com
+dataset_anno_file=/mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/PartiPrompts.tsv
+workdir=/mnt/petrelfs/leihaodong/ICLR25/exp/Lumina-mGPT-7B-768_PartiPrompts/mscr_sjd_1/img
+
+srun \
+ -N 1 \
+ --ntasks-per-node 1 \
+ python evaluation_metrics.py \
+  --workdir $workdir \
+  --dataset_anno_file $dataset_anno_file \
+  --dataset_name parti_cocoformat \
+  --n_images 0
\ No newline at end of file
diff --git a/scripts/opt_tree copy.err b/scripts/opt_tree copy.err
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/scripts/opt_tree copy.out b/scripts/opt_tree copy.out
new file mode 100644
index 0000000000000000000000000000000000000000..89ddebfddf13623a1917a70a9d017dd54c2dee10
--- /dev/null
+++ b/scripts/opt_tree copy.out	
@@ -0,0 +1,23 @@
+Optimization terminated successfully    (Exit mode 0)
+            Current function value: -78.27635288719443
+            Iterations: 31
+            Function evaluations: 218
+            Gradient evaluations: 31
+最优节点分配（连续解）:
+层 1: 2.86 个节点
+层 2: 6.64 个节点
+层 3: 12.90 个节点
+层 4: 20.62 个节点
+层 5: 35.99 个节点
+层 6: 1.00 个节点
+
+最大值: 78.2764
+
+近似最优整数解:
+层 1: 0 个节点
+层 2: 7 个节点
+层 3: 13 个节点
+层 4: 22 个节点
+层 5: 38 个节点
+层 6: 0 个节点
+整数值: 79.3618
diff --git a/scripts/opt_tree.err b/scripts/opt_tree.err
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/scripts/opt_tree.out b/scripts/opt_tree.out
new file mode 100644
index 0000000000000000000000000000000000000000..2bb8bdea93627b257c114b0f07a4793d1adb6af6
--- /dev/null
+++ b/scripts/opt_tree.out
@@ -0,0 +1,39 @@
+Optimization terminated successfully    (Exit mode 0)
+            Current function value: -78.2763528868222
+            Iterations: 31
+            Function evaluations: 218
+            Gradient evaluations: 31
+最优节点分配（连续解）:
+层 1: 2.86 个节点
+层 2: 6.64 个节点
+层 3: 12.90 个节点
+层 4: 20.62 个节点
+层 5: 35.99 个节点
+层 6: 1.00 个节点
+
+最大值: 78.2764
+
+近似最优整数解:
+层 1: 3 个节点
+层 2: 7 个节点
+层 3: 13 个节点
+层 4: 20 个节点
+层 5: 36 个节点
+层 6: 1 个节点
+整数值: 78.2736
+
+验证:
+总和: 80
+所有节点 ≥ 1: True
+
+
+备选：使用动态规划寻找最优整数解...
+
+优化后的整数解:
+层 1: 3 个节点
+层 2: 7 个节点
+层 3: 13 个节点
+层 4: 20 个节点
+层 5: 36 个节点
+层 6: 1 个节点
+优化整数值: 78.2736
diff --git a/scripts/opt_tree.py b/scripts/opt_tree.py
new file mode 100644
index 0000000000000000000000000000000000000000..89f1a73feda19f3c1056ab4bd580266a160334d3
--- /dev/null
+++ b/scripts/opt_tree.py
@@ -0,0 +1,65 @@
+import numpy as np
+from scipy.optimize import minimize
+
+# 参数
+p = np.array([0.8, 0.5, 0.3, 0.2, 0.12, 0.07])
+q = 1 - p  # 失效概率
+N_total = 80
+
+def objective(n):
+    """目标函数：Σ n_i * [1 - q_i^{n_i}]"""
+    return np.sum(n * (1 - q**n))
+
+# 约束条件
+constraints = [
+    {'type': 'eq', 'fun': lambda n: np.sum(n) - N_total},
+    {'type': 'ineq', 'fun': lambda n: n-1}  # n_i >= 0
+]
+
+# 初始猜测（均匀分配）
+n0 = np.ones(6) * N_total / 6
+n0 = np.maximum(n0, 1)  # 确保初始值 >=1
+
+# 优化（使用连续实数）
+res = minimize(lambda n: -objective(n), n0, 
+               constraints=constraints,
+               bounds=[(0, N_total)]*6,
+               method='SLSQP',
+               options={'maxiter': 50,  # 修改最大迭代次数为 20（原默认 100）
+                        'ftol': 1e-6,  # 函数容差（可调小到 1e-8 以增加迭代）
+                        'disp': True})  # 打印迭代日志)
+n_opt = res.x
+max_value = objective(n_opt)
+
+print("最优节点分配（连续解）:")
+for i in range(6):
+    print(f"层 {i+1}: {n_opt[i]:.2f} 个节点")
+print(f"\n最大值: {max_value:.4f}")
+
+# 检查整数解
+from itertools import product
+import math
+
+# 搜索附近整数解（简单网格）
+def integer_search(center, radius=2):
+    best_val = -1
+    best_n = None
+    
+    # 生成附近整数组合
+    ranges = [range(max(0, int(center[i])-radius), 
+                    int(center[i])+radius+1) for i in range(6)]
+    
+    # 限制组合数量，实际可更精细
+    for combo in product(*ranges):
+        if sum(combo) == N_total and all(x >= 0 for x in combo):
+            val = objective(np.array(combo))
+            if val > best_val:
+                best_val = val
+                best_n = combo
+    return best_n, best_val
+
+int_n, int_val = integer_search(n_opt, radius=3)
+print("\n近似最优整数解:")
+for i in range(6):
+    print(f"层 {i+1}: {int_n[i]} 个节点")
+print(f"整数值: {int_val:.4f}")
\ No newline at end of file
diff --git a/scripts/opt_tree.sh b/scripts/opt_tree.sh
new file mode 100644
index 0000000000000000000000000000000000000000..68ce534ba4fa78203f717c6824966b2afcd7d0fd
--- /dev/null
+++ b/scripts/opt_tree.sh
@@ -0,0 +1,7 @@
+#!/bin/bash
+#SBATCH -N 1                               # 节点数（可改成多节点）
+#SBATCH --job-name=opt              # 可选：任务名，便于查看
+# ==================== 真正要跑的程序 ====================
+
+# python /mnt/petrelfs/leihaodong/ICLR25/scripts/opt_tree.py
+python /mnt/petrelfs/leihaodong/ICLR25/scripts/opt_tree1.py
\ No newline at end of file
diff --git a/scripts/opt_tree1.py b/scripts/opt_tree1.py
new file mode 100644
index 0000000000000000000000000000000000000000..994751fbc9aad39e2c3512cf3dab207007d9b13d
--- /dev/null
+++ b/scripts/opt_tree1.py
@@ -0,0 +1,156 @@
+import numpy as np
+from scipy.optimize import minimize
+
+# 参数
+p = np.array([0.8, 0.5, 0.3, 0.2, 0.12, 0.07])
+q = 1 - p  # 失效概率
+N_total = 80
+
+def objective(n):
+    """目标函数：Σ n_i * [1 - q_i^{n_i}]"""
+    return np.sum(n * (1 - q**n))
+
+# 修正约束条件
+constraints = [
+    {'type': 'eq', 'fun': lambda n: np.sum(n) - N_total}
+]
+
+# 设置边界为至少1个节点
+bounds = [(1, N_total)] * 6
+
+# 初始猜测（均匀分配）
+n0 = np.ones(6) * N_total / 6
+n0 = np.maximum(n0, 1)  # 确保初始值 >=1
+
+# 优化（使用连续实数）
+res = minimize(lambda n: -objective(n), n0, 
+               bounds=bounds,
+               constraints=constraints,
+               method='SLSQP',
+               options={'maxiter': 50,
+                        'ftol': 1e-6,
+                        'disp': True})
+n_opt = res.x
+max_value = objective(n_opt)
+
+print("最优节点分配（连续解）:")
+for i in range(6):
+    print(f"层 {i+1}: {n_opt[i]:.2f} 个节点")
+print(f"\n最大值: {max_value:.4f}")
+
+# 检查整数解
+from itertools import product
+
+def integer_search(center, radius=3):
+    best_val = -1
+    best_n = None
+    
+    # 生成附近整数组合（确保每个值至少为1）
+    ranges = []
+    for i in range(6):
+        start = max(1, int(center[i]) - radius)  # 至少为1
+        end = min(N_total, int(center[i]) + radius)  # 最多N_total
+        ranges.append(range(start, end + 1))
+    
+    # 限制搜索范围，避免组合爆炸
+    count = 0
+    max_combinations = 100000  # 限制搜索组合数
+    
+    for combo in product(*ranges):
+        count += 1
+        if count > max_combinations:
+            break
+            
+        if sum(combo) == N_total and all(x >= 1 for x in combo):
+            val = objective(np.array(combo))
+            if val > best_val:
+                best_val = val
+                best_n = combo
+    
+    # 如果没找到合适的解，尝试更简单的启发式搜索
+    if best_n is None:
+        print("直接搜索未找到合适解，使用四舍五入法...")
+        # 四舍五入并调整到总和为80
+        rounded = np.round(n_opt).astype(int)
+        diff = N_total - np.sum(rounded)
+        
+        # 调整差值
+        if diff > 0:
+            # 从最小值开始加
+            sorted_idx = np.argsort(n_opt - rounded)
+            for i in range(diff):
+                rounded[sorted_idx[i]] += 1
+        elif diff < 0:
+            # 从最大值开始减
+            sorted_idx = np.argsort(rounded - n_opt)[::-1]
+            for i in range(-diff):
+                if rounded[sorted_idx[i]] > 1:  # 确保至少为1
+                    rounded[sorted_idx[i]] -= 1
+        
+        # 确保所有值至少为1
+        rounded = np.maximum(rounded, 1)
+        best_n = tuple(rounded)
+        best_val = objective(np.array(best_n))
+    
+    return best_n, best_val
+
+int_n, int_val = integer_search(n_opt, radius=3)
+print("\n近似最优整数解:")
+for i in range(6):
+    print(f"层 {i+1}: {int_n[i]} 个节点")
+print(f"整数值: {int_val:.4f}")
+
+# 验证
+print(f"\n验证:")
+print(f"总和: {sum(int_n)}")
+print(f"所有节点 ≥ 1: {all(x >= 1 for x in int_n)}")
+
+# 附加：使用更智能的整数搜索方法
+print("\n\n备选：使用动态规划寻找最优整数解...")
+
+# 由于节点数较少，可以尝试更系统的方法
+def find_optimal_integer():
+    from itertools import combinations_with_replacement
+    import math
+    
+    best_val = -1
+    best_n = None
+    
+    # 使用星棒法生成所有可能的组合
+    # C(N_total-1, 6-1) = C(79, 5) ≈ 2.3 million 仍然很大
+    # 使用更高效的方法：从连续解开始，在附近搜索
+    
+    # 生成所有6个数字总和为80的组合，每个至少为1
+    # 这相当于找5个切割点
+    
+    # 由于组合数仍然较大，我们使用更智能的剪枝
+    
+    # 简化的搜索：先固定前5层，最后一层由总和决定
+    candidates = []
+    
+    # 放宽搜索半径
+    radius = 4
+    center = np.round(n_opt).astype(int)
+    
+    for n1 in range(max(1, center[0]-radius), center[0]+radius+1):
+        for n2 in range(max(1, center[1]-radius), center[1]+radius+1):
+            for n3 in range(max(1, center[2]-radius), center[2]+radius+1):
+                for n4 in range(max(1, center[3]-radius), center[3]+radius+1):
+                    for n5 in range(max(1, center[4]-radius), center[4]+radius+1):
+                        n6 = N_total - (n1+n2+n3+n4+n5)
+                        if n6 >= 1:
+                            combo = (n1, n2, n3, n4, n5, n6)
+                            # 检查是否在合理范围内
+                            if all(abs(combo[i] - center[i]) <= radius+2 for i in range(6)):
+                                val = objective(np.array(combo))
+                                if val > best_val:
+                                    best_val = val
+                                    best_n = combo
+    
+    return best_n, best_val
+
+opt_int_n, opt_int_val = find_optimal_integer()
+print("\n优化后的整数解:")
+for i in range(6):
+    print(f"层 {i+1}: {opt_int_n[i]} 个节点")
+print(f"优化整数值: {opt_int_val:.4f}")
\ No newline at end of file
diff --git a/scripts/task_alot.sh b/scripts/task_alot.sh
new file mode 100644
index 0000000000000000000000000000000000000000..a4e6d8ffa27d65a15bbf77702166c193d55e0d17
--- /dev/null
+++ b/scripts/task_alot.sh
@@ -0,0 +1,19 @@
+#!/bin/sh
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/lumina_gpt/MSCOCO/sjd++.sh
+
+# sbatch \
+#  -p DataFrontier_Knowledge \
+#  --gres=gpu:1 \
+#  /mnt/petrelfs/leihaodong/ICLR25/scripts/lumina_gpt/MSCOCO/caccl+sjd++.sh
+
+ 
+sbatch \
+ -p DataFrontier_Knowledge \
+ --gres=gpu:0 \
+ -o /mnt/petrelfs/leihaodong/ICLR25/scripts/opt_tree.out \
+ -e /mnt/petrelfs/leihaodong/ICLR25/scripts/opt_tree.err \
+ /mnt/petrelfs/leihaodong/ICLR25/scripts/opt_tree.sh
\ No newline at end of file