diff --git a/.gitignore b/.gitignore
index 2526b5b..d981254 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,7 +6,6 @@
 *.pyc
 *.log
 *.data
-*.txt
 
 #Data
 __pycache__/
diff --git a/README.md b/README.md
index af63a16..ef9f20e 100644
--- a/README.md
+++ b/README.md
@@ -6,32 +6,73 @@ Code for the **Co**ntent Ca**ch**ing algorithm in edge caching.
 
 ```shell
 git clone https://github.com/DarriusL/CacheLab.git
+```
+
+Create an environment using one of these methods:
+
+### conda
+
+```shell
 cd CacheLab
 conda env create -f cachelab_dev.yml
 conda activate cachelab_dev
-git update-index --assume-unchanged config/lab_cfg.json
-git update-index --assume-unchanged config/data_process_cfg.json
 ```
 
+### pip
+
+```shell
+conda create -n CacheLab python=3.11
+pip install -r requirements.txt
+```
+
+
+
 ## Framework file structure
 
 ```
-CacheLab
 ├── .gitignore
 ├── cache
-│	└── logger
-│		└── logger.log
 ├── cachelab_env.yml
 ├── config
-│	├── caser/.
+│	├── caser
+│	│	├── caser_appliances.json
+│	│	├── caser_ml1m.json
+│	│	└── caser_music.json
 │	├── CFG_README.md
-│	├── cl4srec/.
+│	├── cl4srec
+│	│	├── cl4srec_appliances.json
+│	│	├── cl4srec_ml1m.json
+│	│	└── cl4srec_music.json
 │	├── data_process_cfg.json
-│	├── duo4srec/.
-│	├── ec4srec/.
-│	├── egpc/.
+│	├── duo4srec
+│	│	├── duo4srec_appliances.json
+│	│	├── duo4srec_ml1m.json
+│	│	└── duo4srec_music.json
+│	├── ec4srec
+│	│	├── ec4srec_appliances.json
+│	│	├── ec4srec_ml1m.json
+│	│	└── ec4srec_music.json
+│	├── egpc
+│	│	├── egpc_appliances.json
+│	│	├── egpc_ml1m.json
+│	│	└── egpc_music.json
+│	├── fifo
+│	│	├── fifo_appliances.json
+│	│	├── fifo_ml1m.json
+│	│	└── fifo_music.json
 │	├── lab_cfg.json
-│	└── psac/.
+│	├── lfu
+│	│	├── lfu_appliances.json
+│	│	├── lfu_ml1m.json
+│	│	└── lfu_music.json
+│	├── lru
+│	│	├── lru_appliances.json
+│	│	├── lru_ml1m.json
+│	│	└── lru_music.json
+│	└── psac
+│		├── psac_gen_appliances.json
+│		├── psac_gen_ml1m.json
+│		└── psac_gen_music.json
 ├── data
 │	├── augmentation.py
 │	├── datasets
@@ -73,28 +114,33 @@ CacheLab
 │	│			└── music_devide_25.data
 │	├── generator.py
 │	├── processor.py
-│	├── saved/.
+│	├── saved./
 │	└── __init__.py
-|
 ├── executor.py
 ├── lib
 │	├── callback.py
 │	├── glb_var.py
-│	├── graph_util.py
 │	├── json_util.py
 │	└── util.py
-|
+├── LICENSE
 ├── model
 │	├── attnet.py
 │	├── cnnnet.py
-│	└── framework
-│		├── caser.py
-│		├── cl4srec.py
-│		├── duo4srec.py
-│		├── ec4srec.py
-│		├── egpc.py
-│		└── psac.py
+│	├── framework
+│	│	├── base.py
+│	│	├── caser.py
+│	│	├── cl4srec.py
+│	│	├── duo4srec.py
+│	│	├── ec4srec.py
+│	│	├── egpc.py
+│	│	├── fifo.py
+│	│	├── lfu.py
+│	│	├── lru.py
+│	│	└── psac.py
+│	├── loss.py
+│	└── __init__.py
 ├── README.md
+├── requirements.txt
 └── Room
 	├── officer.py
 	├── work.py
@@ -126,9 +172,9 @@ If you need to use the provided processed data set, download it to path : ./data
 
 Coventional:
 
-- [ ] FIFO
-- [ ] LRU
-- [ ] LFU
+- [x] FIFO
+- [x] LRU
+- [x] LFU
 
 CL-based: 
 
@@ -181,6 +227,30 @@ You need to configure the data processing configuration file yourself:@./config/
 python executor.py --data_process=True
 ```
 
+FIFO
+
+```shell
+python executor.py -sc='./config/fifo/fifo_ml1m.json' --mode=test
+python executor.py -sc='./config/fifo/fifo_appliances.json' --mode=test
+python executor.py -sc='./config/fifo/fifo_music.json' --mode=test
+```
+
+LRU
+
+```shell
+python executor.py -sc='./config/lru/lru_ml1m.json' --mode=test
+python executor.py -sc='./config/lru/lru_appliances.json' --mode=test
+python executor.py -sc='./config/lru/lru_music.json' --mode=test
+```
+
+LFU
+
+```shell
+python executor.py -sc='./config/lfu/lfu_ml1m.json' --mode=test
+python executor.py -sc='./config/lfu/lfu_appliances.json' --mode=test
+python executor.py -sc='./config/lfu/lfu_music.json' --mode=test
+```
+
 CL4SRec
 
 ```shell
diff --git a/Room/officer.py b/Room/officer.py
index d16b01a..adccbb9 100644
--- a/Room/officer.py
+++ b/Room/officer.py
@@ -18,7 +18,7 @@ def get_save_path(cfg):
         return './data/saved/' + cfg['net']['type'].lower() + '/' + cfg['dataset']['type'] + '/' + f'{cfg["net"]["d"]}_{cfg["net"]["n_kernels"]}/model.model';
     elif cfg['net']['type'].lower() in ['fifo','lru','lfu']:
         return './data/saved/' + cfg['net']['type'].lower() + '/' + cfg['dataset']['type'] + '/model.model';
-    elif cfg['net']['is_norm_fist']:
+    elif cfg['net']['is_norm_first']:
         norm_type = 'pre';
     else:
         norm_type = 'post';
@@ -88,7 +88,11 @@ class AbstractTester():
     def __init__(self, test_cfg_dict, model) -> None:
         util.set_attr(self, test_cfg_dict);
         self.device = glb_var.get_value('device');
-        self.model = model.to(self.device);
+        if model.type.lower() not in ['fifo', 'lru', 'lfu']:
+            self.model = model.to(self.device);
+        else:
+            self.model = model;
+        
 
     def test(self, test_data):
         logger.error('Method needs to be called after being implemented');
@@ -644,7 +648,7 @@ def _report_result(self, result):
         logger.info(str);
         return str;
 
-class ConventionalTester():
+class ConventionalTester(AbstractTester):
     '''Tester for conventional algorithm: FIFO,LRU,LFU
 
     Parameters:
@@ -652,8 +656,7 @@ class ConventionalTester():
     
     '''
     def __init__(self, config, model) -> None:
-        util.set_attr(self, config['test']);
-        self.model = model;
+        super().__init__(config['test'], model);
         self.cfg = config;
         if self.save:
             self.save_path, _ = os.path.split(self.model_save_path);
@@ -683,8 +686,8 @@ def _caching_and_cal_qoe_trafficload(self, data, cache_size_list):
         self.model.clear();
         for batch_id in range(batch_size):
             #su:(slide_len, T)
-            su = data[batch_id, :].unfold(-1, self.slide_T + 1, self.slide_T)[:, :self.slide_T];
-            self.model.update(su.reshape(1, -1));
+            su = data[batch_id, :].unfold(-1, self.slide_T + 1, self.slide_T + 1)[:, :self.slide_T];
+            self.model.update(su.reshape(-1));
         QoE = {};
         TrafficLoad = {};
         for cache_size in cache_size_list:
@@ -697,7 +700,7 @@ def _caching_and_cal_qoe_trafficload(self, data, cache_size_list):
             qoe, userload, allload = 0, 0, 0;
             for batch_id in range(batch_size):
                 #R:real data set
-                R = set(data[batch_id, :].unfold(-1, self.slide_T + 1, self.slide_T)[:, -1].tolist());
+                R = set(data[batch_id, :].unfold(-1, self.slide_T + 1, self.slide_T + 1)[:, -1].tolist());
                 if len(cache_set & R) > (req_len - data[batch_id, :].eq(0).sum().item())*self.cache_satisfaction_ratio:
                     qoe += 1;
                 userload += len(R - cache_set);
@@ -736,14 +739,6 @@ def test(self, dataset):
             #next_req:(batch_size, 1)
             _, test_data, next_req = iter(test_loader).__next__();
             test_data, next_req = test_data.to(self.device), next_req.to(self.device);
-            #next_req_logits:(batch_size, req_types)
-            with torch.no_grad():
-                t_r = time.time();
-                next_req_logits = self.model(test_data);
-                t_reason += (time.time() - t_r);
-            #next_req:(batch_size)
-            next_req_pre = next_req_logits.argmax(dim = -1);
-            logger.debug(f'pre_types:{len(Counter(next_req_pre.tolist()))}');
             #new data:(batch_size, seq_len + 1)
             data = torch.cat((test_data, next_req.unsqueeze(-1)), dim = -1);
             #calculate qoe and traffic load
@@ -782,7 +777,7 @@ def _report_batch_result(self, t_start, cur_step, n_step, qoe, trafficload):
     def _report_result(self, result):
         '''Report the test result
         '''
-        
+        str_show2 = ''
         for it in self.cache_size:
             str_show2 += f'  {it:.1f}   -   {result["QoE"][it]:.6f} -- {result["TrafficLoad"][it]:.6f}       \n'
         str = f'[{self.model.type}]Result of test\n'\
diff --git a/Room/work.py b/Room/work.py
index 9f90c03..772b279 100644
--- a/Room/work.py
+++ b/Room/work.py
@@ -26,24 +26,30 @@ def run_work(config_path, mode = 'train'):
     lab_cfg = json_util.jsonload('./config/lab_cfg.json');
     if mode == 'test':
         config = json_util.jsonload(config_path);
-        _, config['train']['model_save_path'] = os.path.split(config['train']['model_save_path']);
-        cfg_root, _ = os.path.split(config_path);
-        config['train']['model_save_path'] = cfg_root + '/' + config['train']['model_save_path'];
-        logger.info(f"Updata save path:[{config['train']['model_save_path']}]");
-        json_util.jsonsave(config, config_path);
-        del cfg_root;
+        if config['net']['type'].lower() in ['fifo', 'lru', 'lfu']:
+            config['test']['model_save_path'] = get_save_path(config);
+            logger.info(f"Updata save path:[{config['test']['model_save_path']}]")
+            json_util.jsonsave(config, config_path);
+        else:
+            _, config['train']['model_save_path'] = os.path.split(config['train']['model_save_path']);
+            cfg_root, _ = os.path.split(config_path);
+            config['train']['model_save_path'] = cfg_root + '/' + config['train']['model_save_path'];
+            logger.info(f"Updata save path:[{config['train']['model_save_path']}]");
+            json_util.jsonsave(config, config_path);
+            del cfg_root;
     else:
         config = json_util.jsonload(config_path);
     #set random seed
     torch.manual_seed(config['seed']);
     #initial device 
-    if config['train']['gpu_is_available']:
+    if (mode == 'trian' and config['train']['gpu_is_available']) or (mode == 'test' and config['test']['gpu_is_available']):
         device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu");
     else:
         device = torch.device("cpu");
+    
     glb_var.set_value('device', device);
     #set training constant
-    if config['train']['use_amp']:
+    if mode == 'train' and config['train']['use_amp']:
         glb_var.set_value('mask_to_value', lab_cfg['constant']['use_amp_true']['mask_to_value']);
         glb_var.set_value('eps', lab_cfg['constant']['use_amp_true']['eps']);
     else:
@@ -67,7 +73,7 @@ def run_work(config_path, mode = 'train'):
 
     
     #get model
-    if mode in ['train', 'train_and_test']:
+    if mode in ['train', 'train_and_test'] or config['net']['type'].lower() in ['fifo', 'lru', 'lfu']:
         model = generate_model(config);
     else:
         model  = torch.load(config['train']['model_save_path']);
@@ -77,10 +83,7 @@ def run_work(config_path, mode = 'train'):
         config['train']['model_save_path'] = get_save_path(config);
         logger.info(f"Updata save path:[{config['train']['model_save_path']}]")
         json_util.jsonsave(config, config_path);
-    elif mode == 'test' and config['net']['type'].lower() in ['fifo', 'lru', 'lfu']:
-        config['test']['model_save_path'] = get_save_path(config);
-        logger.info(f"Updata save path:[{config['test']['model_save_path']}]")
-        json_util.jsonsave(config, config_path);
+    
 
     report(config, lab_cfg);
     result = None;
@@ -103,14 +106,10 @@ def run_work(config_path, mode = 'train'):
         tester = Tester(config, torch.load(config['train']['model_save_path']));
         result = run_test(tester, dataset);
     elif mode == 'test':
-        if config['test']['gpu_is_available']:
-            glb_var.set_value('device', torch.device("cuda:0" if torch.cuda.is_available() else "cpu"));
+        if config['net']['type'].lower() in ['fifo', 'lru', 'lfu']:
+            tester = ConventionalTester(config, model);
         else:
-            glb_var.set_value('device', torch.device("cpu"));
-            if config['net']['type'].lower() in ['fifo', 'lru', 'lfu']:
-                tester = ConventionalTester(config, model);
-            else:
-                tester = Tester(config, model);
+            tester = Tester(config, model);
         result = run_test(tester, dataset);
     else:
         logger.error(f'Unrecognized Mode [{mode}], acceptable:(train/test/train_and_test)');
@@ -194,7 +193,7 @@ def report(config, lab_cfg):
     '''print the info and check config
     '''
     #check config
-    keys = ['net', 'dataset', 'linux_fast_num_workers', 'email_reminder', 'seed', 'train', 'test'];
+    keys = ['net', 'dataset', 'linux_fast_num_workers', 'email_reminder', 'seed', 'test'];
     train_keys = ['batch_size', 'max_epoch', 'valid_step', 'stop_train_step_valid_not_improve', 'gpu_is_available', 'use_amp', 
                   'optimizer_type', 'learning_rate', 'weight_decay', 'betas', 'use_lr_schedule', 'lr_max', 'metric_less',
                   'save', 'model_save_path', 'end_save'];
@@ -228,6 +227,7 @@ def report(config, lab_cfg):
         except:
             logger.error('Please enter the config directory to configure the lab_cfg.json file');
             raise callback.CustomException('ConfigError');
+
     logger.info(
     f'CacheLab Configuration report:\n'
     '------------------------------------\n'
diff --git a/config/cl4srec/cl4srec_appliances.json b/config/cl4srec/cl4srec_appliances.json
index b601cd8..a9f7f22 100644
--- a/config/cl4srec/cl4srec_appliances.json
+++ b/config/cl4srec/cl4srec_appliances.json
@@ -32,7 +32,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "appliances",
         "path": "./data/datasets/process/complete/Appliances.data",
diff --git a/config/cl4srec/cl4srec_ml1m.json b/config/cl4srec/cl4srec_ml1m.json
index 967bc10..808d2ff 100644
--- a/config/cl4srec/cl4srec_ml1m.json
+++ b/config/cl4srec/cl4srec_ml1m.json
@@ -32,7 +32,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "ml1m",
         "path": "./data/datasets/process/complete/ml.data",
diff --git a/config/cl4srec/cl4srec_music.json b/config/cl4srec/cl4srec_music.json
index feb8242..82aec2e 100644
--- a/config/cl4srec/cl4srec_music.json
+++ b/config/cl4srec/cl4srec_music.json
@@ -32,7 +32,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "music",
         "path": "./data/datasets/process/lite/Digital_Music_lite.data",
diff --git a/config/duo4srec/duo4srec_appliances.json b/config/duo4srec/duo4srec_appliances.json
index b87f610..f071f68 100644
--- a/config/duo4srec/duo4srec_appliances.json
+++ b/config/duo4srec/duo4srec_appliances.json
@@ -29,7 +29,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "appliances",
         "path": "./data/datasets/process/complete/Appliances.data",
diff --git a/config/duo4srec/duo4srec_ml1m.json b/config/duo4srec/duo4srec_ml1m.json
index d089280..347b8e1 100644
--- a/config/duo4srec/duo4srec_ml1m.json
+++ b/config/duo4srec/duo4srec_ml1m.json
@@ -29,7 +29,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "ml1m",
         "path": "./data/datasets/process/complete/ml.data",
diff --git a/config/duo4srec/duo4srec_music.json b/config/duo4srec/duo4srec_music.json
index 4f14589..66a3194 100644
--- a/config/duo4srec/duo4srec_music.json
+++ b/config/duo4srec/duo4srec_music.json
@@ -29,7 +29,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "music",
         "path": "./data/datasets/process/lite/Digital_Music_lite.data",
diff --git a/config/ec4srec/ec4srec_appliances.json b/config/ec4srec/ec4srec_appliances.json
index aea5cea..9453daf 100644
--- a/config/ec4srec/ec4srec_appliances.json
+++ b/config/ec4srec/ec4srec_appliances.json
@@ -38,7 +38,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "appliances",
         "path": "./data/datasets/process/complete/Appliances.data",
diff --git a/config/ec4srec/ec4srec_ml1m.json b/config/ec4srec/ec4srec_ml1m.json
index 34dfb2f..f21b61a 100644
--- a/config/ec4srec/ec4srec_ml1m.json
+++ b/config/ec4srec/ec4srec_ml1m.json
@@ -38,7 +38,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "ml1m",
         "path": "./data/datasets/process/complete/ml.data",
diff --git a/config/ec4srec/ec4srec_music.json b/config/ec4srec/ec4srec_music.json
index 6a10797..fb5fa48 100644
--- a/config/ec4srec/ec4srec_music.json
+++ b/config/ec4srec/ec4srec_music.json
@@ -38,7 +38,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "music",
         "path": "./data/datasets/process/lite/Digital_Music_lite.data",
diff --git a/config/egpc/egpc_appliances.json b/config/egpc/egpc_appliances.json
index 8dfa9db..37860ae 100644
--- a/config/egpc/egpc_appliances.json
+++ b/config/egpc/egpc_appliances.json
@@ -38,7 +38,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "appliances",
         "path": "./data/datasets/process/complete/Appliances.data",
diff --git a/config/egpc/egpc_ml1m.json b/config/egpc/egpc_ml1m.json
index df27f1c..f8c0f32 100644
--- a/config/egpc/egpc_ml1m.json
+++ b/config/egpc/egpc_ml1m.json
@@ -38,7 +38,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "ml1m",
         "path": "./data/datasets/process/complete/ml.data",
diff --git a/config/egpc/egpc_music.json b/config/egpc/egpc_music.json
index f2b5ca4..024e2b0 100644
--- a/config/egpc/egpc_music.json
+++ b/config/egpc/egpc_music.json
@@ -38,7 +38,7 @@
     },
     "seed": 5566,
     "linux_fast_num_workers": 4,
-    "email_reminder": true,
+    "email_reminder": false,
     "dataset": {
         "type": "music",
         "path": "./data/datasets/process/lite/Digital_Music_lite.data",
diff --git a/config/fifo/fifo_appliances.json b/config/fifo/fifo_appliances.json
new file mode 100644
index 0000000..26e4532
--- /dev/null
+++ b/config/fifo/fifo_appliances.json
@@ -0,0 +1,37 @@
+{
+    "net": {
+        "type": "FIFO",
+        "bs_storagy": 1000
+    },
+    "seed": 6655,
+    "linux_fast_num_workers": 4,
+    "email_reminder": false,
+    "dataset": {
+        "type": "ml1m",
+        "path": "./data/datasets/process/complete/Appliances.data",
+        "crop_or_fill": true,
+        "fill_mask": 0,
+        "limit_length": 25
+    },
+    "test": {
+        "batch_size": 256,
+        "cache_satisfaction_ratio": 0.3,
+        "bs_storagy": 1000,
+        "slide_T": 3,
+        "cache_size": [
+            0.1,
+            0.2,
+            0.3,
+            0.4,
+            0.5,
+            0.6,
+            0.7,
+            0.8,
+            0.9,
+            1.0
+        ],
+        "gpu_is_available": false,
+        "save": false,
+        "model_save_path": "./data/saved/fifo/ml1m/model.model"
+    }
+}
\ No newline at end of file
diff --git a/config/fifo/fifo_ml1m.json b/config/fifo/fifo_ml1m.json
index d6752e6..89480a4 100644
--- a/config/fifo/fifo_ml1m.json
+++ b/config/fifo/fifo_ml1m.json
@@ -9,13 +9,13 @@
     "dataset": {
         "type": "ml1m",
         "path": "./data/datasets/process/complete/ml.data",
-        "crop_or_fill": false,
+        "crop_or_fill": true,
         "fill_mask": 0,
         "limit_length": 55
     },
     "test": {
         "batch_size": 256,
-        "cache_satisfaction_ratio": 0.2,
+        "cache_satisfaction_ratio": 0.3,
         "bs_storagy": 1000,
         "slide_T": 3,
         "cache_size": [
@@ -31,7 +31,7 @@
             1.0
         ],
         "gpu_is_available": false,
-        "save": true,
-        "model_save_path":"./"
+        "save": false,
+        "model_save_path": "./data/saved/fifo/ml1m/model.model"
     }
 }
\ No newline at end of file
diff --git a/config/fifo/fifo_music.json b/config/fifo/fifo_music.json
new file mode 100644
index 0000000..1be454f
--- /dev/null
+++ b/config/fifo/fifo_music.json
@@ -0,0 +1,37 @@
+{
+    "net": {
+        "type": "FIFO",
+        "bs_storagy": 1000
+    },
+    "seed": 6655,
+    "linux_fast_num_workers": 4,
+    "email_reminder": false,
+    "dataset": {
+        "type": "ml1m",
+        "path": "./data/datasets/process/lite/Digital_Music_lite.data",
+        "crop_or_fill": true,
+        "fill_mask": 0,
+        "limit_length": 25
+    },
+    "test": {
+        "batch_size": 256,
+        "cache_satisfaction_ratio": 0.3,
+        "bs_storagy": 1000,
+        "slide_T": 3,
+        "cache_size": [
+            0.1,
+            0.2,
+            0.3,
+            0.4,
+            0.5,
+            0.6,
+            0.7,
+            0.8,
+            0.9,
+            1.0
+        ],
+        "gpu_is_available": false,
+        "save": false,
+        "model_save_path": "./data/saved/fifo/ml1m/model.model"
+    }
+}
\ No newline at end of file
diff --git a/config/lfu/lfu_appliances.json b/config/lfu/lfu_appliances.json
new file mode 100644
index 0000000..58fd8a1
--- /dev/null
+++ b/config/lfu/lfu_appliances.json
@@ -0,0 +1,38 @@
+{
+    "net": {
+        "type": "LFU",
+        "bs_storagy": 1000,
+        "recent_used_n": 1200
+    },
+    "seed": 6655,
+    "linux_fast_num_workers": 4,
+    "email_reminder": false,
+    "dataset": {
+        "type": "ml1m",
+        "path": "./data/datasets/process/complete/Appliances.data",
+        "crop_or_fill": true,
+        "fill_mask": 0,
+        "limit_length": 25
+    },
+    "test": {
+        "batch_size": 256,
+        "cache_satisfaction_ratio": 0.4,
+        "bs_storagy": 1000,
+        "slide_T": 3,
+        "cache_size": [
+            0.1,
+            0.2,
+            0.3,
+            0.4,
+            0.5,
+            0.6,
+            0.7,
+            0.8,
+            0.9,
+            1.0
+        ],
+        "gpu_is_available": false,
+        "save": false,
+        "model_save_path": "./data/saved/lfu/ml1m/model.model"
+    }
+}
\ No newline at end of file
diff --git a/config/lfu/lfu_ml1m.json b/config/lfu/lfu_ml1m.json
index 87889e3..f76684d 100644
--- a/config/lfu/lfu_ml1m.json
+++ b/config/lfu/lfu_ml1m.json
@@ -2,50 +2,23 @@
     "net": {
         "type": "LFU",
         "bs_storagy": 1000,
-        "recent_used_n":1200
+        "recent_used_n": 1200
     },
     "seed": 6655,
     "linux_fast_num_workers": 4,
     "email_reminder": false,
     "dataset": {
         "type": "ml1m",
-        "path": "./data/datasets/process/complete/ml_devide_55.data",
-        "crop_or_fill": false,
+        "path": "./data/datasets/process/complete/ml.data",
+        "crop_or_fill": true,
         "fill_mask": 0,
         "limit_length": 55
     },
-    "train": {
-        "batch_size": 256,
-        "max_epoch": 1000,
-        "valid_step": 10,
-        "stop_train_step_valid_not_improve": 50,
-        "gpu_is_available": false,
-        "use_amp": false,
-        "optimizer_type": "adam",
-        "learning_rate": 0.001,
-        "weight_decay": 1e-08,
-        "betas": [
-            0.9,
-            0.999
-        ],
-        "use_lr_schedule": false,
-        "lr_max": 1e-05,
-        "metric_less": true,
-        "save": true,
-        "model_save_path": "./data/saved/caser/ml1m/64_8/model.model",
-        "end_save": false
-    },
     "test": {
         "batch_size": 256,
-        "cache_satisfaction_ratio": 0.2,
+        "cache_satisfaction_ratio": 0.4,
         "bs_storagy": 1000,
         "slide_T": 3,
-        "alter_topk": 10,
-        "metrics_at_k": [
-            5,
-            10,
-            20
-        ],
         "cache_size": [
             0.1,
             0.2,
@@ -59,6 +32,7 @@
             1.0
         ],
         "gpu_is_available": false,
-        "save": true
+        "save": false,
+        "model_save_path": "./data/saved/lfu/ml1m/model.model"
     }
 }
\ No newline at end of file
diff --git a/config/lfu/lfu_music.json b/config/lfu/lfu_music.json
new file mode 100644
index 0000000..b057b40
--- /dev/null
+++ b/config/lfu/lfu_music.json
@@ -0,0 +1,38 @@
+{
+    "net": {
+        "type": "LFU",
+        "bs_storagy": 1000,
+        "recent_used_n":1200
+    },
+    "seed": 6655,
+    "linux_fast_num_workers": 4,
+    "email_reminder": false,
+    "dataset": {
+        "type": "ml1m",
+        "path": "./data/datasets/process/lite/Digital_Music_lite.data",
+        "crop_or_fill": true,
+        "fill_mask": 0,
+        "limit_length": 25
+    },
+    "test": {
+        "batch_size": 256,
+        "cache_satisfaction_ratio": 0.4,
+        "bs_storagy": 1000,
+        "slide_T": 3,
+        "cache_size": [
+            0.1,
+            0.2,
+            0.3,
+            0.4,
+            0.5,
+            0.6,
+            0.7,
+            0.8,
+            0.9,
+            1.0
+        ],
+        "gpu_is_available": false,
+        "save": false,
+        "model_save_path": "./data/saved/lru/ml1m/model.model"
+    }
+}
\ No newline at end of file
diff --git a/config/lru/lru_appliances.json b/config/lru/lru_appliances.json
new file mode 100644
index 0000000..46af6e9
--- /dev/null
+++ b/config/lru/lru_appliances.json
@@ -0,0 +1,37 @@
+{
+    "net": {
+        "type": "LRU",
+        "bs_storagy": 1000
+    },
+    "seed": 6655,
+    "linux_fast_num_workers": 4,
+    "email_reminder": false,
+    "dataset": {
+        "type": "ml1m",
+        "path": "./data/datasets/process/complete/Appliances.data",
+        "crop_or_fill": true,
+        "fill_mask": 0,
+        "limit_length": 25
+    },
+    "test": {
+        "batch_size": 256,
+        "cache_satisfaction_ratio": 0.4,
+        "bs_storagy": 1000,
+        "slide_T": 3,
+        "cache_size": [
+            0.1,
+            0.2,
+            0.3,
+            0.4,
+            0.5,
+            0.6,
+            0.7,
+            0.8,
+            0.9,
+            1.0
+        ],
+        "gpu_is_available": false,
+        "save": false,
+        "model_save_path": "./data/saved/lru/ml1m/model.model"
+    }
+}
\ No newline at end of file
diff --git a/config/lru/lru_ml1m.json b/config/lru/lru_ml1m.json
index 3a66f0e..3bd6b1f 100644
--- a/config/lru/lru_ml1m.json
+++ b/config/lru/lru_ml1m.json
@@ -1,51 +1,23 @@
 {
     "net": {
         "type": "LRU",
-        "bs_storagy": 1000,
-        "recent_used_n":100
+        "bs_storagy": 1000
     },
     "seed": 6655,
     "linux_fast_num_workers": 4,
     "email_reminder": false,
     "dataset": {
         "type": "ml1m",
-        "path": "./data/datasets/process/complete/ml_devide_55.data",
-        "crop_or_fill": false,
+        "path": "./data/datasets/process/complete/ml.data",
+        "crop_or_fill": true,
         "fill_mask": 0,
         "limit_length": 55
     },
-    "train": {
-        "batch_size": 256,
-        "max_epoch": 1000,
-        "valid_step": 10,
-        "stop_train_step_valid_not_improve": 50,
-        "gpu_is_available": false,
-        "use_amp": false,
-        "optimizer_type": "adam",
-        "learning_rate": 0.001,
-        "weight_decay": 1e-08,
-        "betas": [
-            0.9,
-            0.999
-        ],
-        "use_lr_schedule": false,
-        "lr_max": 1e-05,
-        "metric_less": true,
-        "save": true,
-        "model_save_path": "./data/saved/caser/ml1m/64_8/model.model",
-        "end_save": false
-    },
     "test": {
         "batch_size": 256,
-        "cache_satisfaction_ratio": 0.2,
+        "cache_satisfaction_ratio": 0.4,
         "bs_storagy": 1000,
         "slide_T": 3,
-        "alter_topk": 10,
-        "metrics_at_k": [
-            5,
-            10,
-            20
-        ],
         "cache_size": [
             0.1,
             0.2,
@@ -59,6 +31,7 @@
             1.0
         ],
         "gpu_is_available": false,
-        "save": true
+        "save": false,
+        "model_save_path": "./data/saved/lru/ml1m/model.model"
     }
 }
\ No newline at end of file
diff --git a/config/lru/lru_music.json b/config/lru/lru_music.json
new file mode 100644
index 0000000..ec163c6
--- /dev/null
+++ b/config/lru/lru_music.json
@@ -0,0 +1,37 @@
+{
+    "net": {
+        "type": "LRU",
+        "bs_storagy": 1000
+    },
+    "seed": 6655,
+    "linux_fast_num_workers": 4,
+    "email_reminder": false,
+    "dataset": {
+        "type": "ml1m",
+        "path": "./data/datasets/process/lite/Digital_Music_lite.data",
+        "crop_or_fill": true,
+        "fill_mask": 0,
+        "limit_length": 25
+    },
+    "test": {
+        "batch_size": 256,
+        "cache_satisfaction_ratio": 0.4,
+        "bs_storagy": 1000,
+        "slide_T": 3,
+        "cache_size": [
+            0.1,
+            0.2,
+            0.3,
+            0.4,
+            0.5,
+            0.6,
+            0.7,
+            0.8,
+            0.9,
+            1.0
+        ],
+        "gpu_is_available": false,
+        "save": false,
+        "model_save_path": "./data/saved/lru/ml1m/model.model"
+    }
+}
\ No newline at end of file
diff --git a/data/generator.py b/data/generator.py
index a9d5b08..717e734 100644
--- a/data/generator.py
+++ b/data/generator.py
@@ -181,7 +181,7 @@ def __getitem__(self, index):
         return self.data[index].squeeze(0).to(torch.int64);
 
 def get_dataloader(dataset, net_cfg, num_workers, loader_batch, shuffle = False, mode = 'train'):
-    if net_cfg['is_cl_method'] or net_cfg['type'].lower() in ['fifo', 'lru', 'lfu']:
+    if net_cfg['type'].lower() in ['fifo', 'lru', 'lfu'] or net_cfg['is_cl_method']:
         return torch.utils.data.DataLoader(NextReqDataSet(dataset, mode = mode), 
                                                    num_workers = num_workers,
                                                    pin_memory = True,
diff --git a/model/framework/lfu.py b/model/framework/lfu.py
index 7bbd5cd..1246552 100644
--- a/model/framework/lfu.py
+++ b/model/framework/lfu.py
@@ -25,7 +25,7 @@ def generate_subcache(self, n) -> set:
         else:
             #Select the n items with the highest frequency
             sort_indx, c = self._sort_by_freq();
-            return set(np.asarray(self.cache)[np.asarray(c)[sort_indx[-n:]]].tolist())
+            return set(np.asarray(c)[sort_indx[-n:]].tolist())
     
     def _sort_by_freq(self):
         '''Sort from small to large by frequence
@@ -52,7 +52,7 @@ def update(self, seqs) -> None:
         ------
         elements of seqs do not exceed the bs_storagy
         '''
-        seqs = [seqs.tolist()];
+        seqs = seqs.tolist();
         n_unique = self._check_unique(seqs);
         if self.cache_left >= n_unique:
             self.cache_left -= n_unique;
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..8d6e1b0
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,94 @@
+ale-py==0.8.1
+asttokens==2.2.1
+AutoROM==0.4.2
+AutoROM.accept-rom-license==0.6.1
+backcall==0.2.0
+backports.functools-lru-cache==1.6.5
+certifi==2023.7.22
+charset-normalizer==3.2.0
+click==8.1.6
+cloudpickle==2.2.1
+cmake==3.25.0
+comm==0.1.4
+contourpy==1.1.0
+cycler==0.11.0
+debugpy==1.6.7
+decorator==5.1.1
+exceptiongroup==1.1.3
+executing==1.2.0
+feedparser==6.0.11
+filelock==3.9.0
+fonttools==4.42.0
+gym==0.26.2
+gym-notices==0.0.8
+html2text==2020.1.16
+idna==3.4
+igraph==0.10.6
+importlib-metadata==6.8.0
+importlib-resources==6.0.1
+ipykernel==6.25.2
+ipython==8.14.0
+ipywidgets==8.1.0
+jedi==0.19.0
+jieba==0.42.1
+Jinja2==3.1.2
+joblib==1.3.2
+jupyter_client==8.3.1
+jupyter_core==5.3.1
+jupyterlab-widgets==3.0.8
+kiwisolver==1.4.4
+lit==15.0.7
+MarkupSafe==2.1.2
+matplotlib==3.7.2
+matplotlib-inline==0.1.6
+mpmath==1.2.1
+nest-asyncio==1.5.6
+networkx==3.1
+numpy==1.25.2
+packaging==23.1
+parso==0.8.3
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==10.0.0
+pip==23.2.1
+platformdirs==3.10.0
+prompt-toolkit==3.0.39
+psutil==5.9.5
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pydash==7.0.6
+pyg-lib==0.2.0+pt20cu118
+Pygments==2.16.1
+pyparsing==3.0.9
+pypdf==3.17.4
+python-dateutil==2.8.2
+python-igraph==0.10.6
+pyzmq==25.1.0
+requests==2.31.0
+scikit-learn==1.3.0
+scipy==1.11.1
+setuptools==68.0.0
+sgmllib3k==1.0.0
+six==1.16.0
+stack-data==0.6.2
+sympy==1.11.1
+texttable==1.6.7
+threadpoolctl==3.2.0
+torch==2.0.1+cu118
+torch-cluster==1.6.1+pt20cu118
+torch-geometric==2.3.1
+torch-scatter==2.1.1+pt20cu118
+torch-sparse==0.6.17+pt20cu118
+torch-spline-conv==1.2.2+pt20cu118
+torchaudio==2.0.2+cu118
+torchvision==0.15.2+cu118
+tornado==6.3.2
+tqdm==4.66.1
+traitlets==5.9.0
+triton==2.0.0
+typing_extensions==4.8.0
+urllib3==2.0.4
+wcwidth==0.2.6
+wheel==0.38.4
+widgetsnbextension==4.0.8
+zipp==3.16.2