Update run_all_model

examples/benchmarks/TFT/README.md

@@ -5,8 +5,10 @@
 **GitHub**: https://github.com/google-research/google-research/tree/master/tft
 
 ## Run the Workflow
-Users can follow the ``workflow_by_code_tft.py`` to run the benchmark. Please be **aware** that this script can only support Python 3.5 - 3.8.
+Users can follow the ``workflow_by_code_tft.py`` to run the benchmark. 
 
 ### Notes
-1. The model must run in GPU, or an error will be raised.
+1. Please be **aware** that this script can only support `Python 3.5 - 3.8`, and `Cuda 10.0 or 10.1`.
-2. New datasets should be registered in ``data_formatters``, for detail please visit the source.
+2. Please remember to install `cudatoolkit==10.1` and `cudnn==7.6` on your machine.
+3. The model must run in GPU, or an error will be raised.
+4. New datasets should be registered in ``data_formatters``, for detail please visit the source.

examples/run_all_model.py

@@ -10,6 +10,7 @@ import shutil
 import tempfile
 import statistics
 from pathlib import Path
+from operator import xor
 from subprocess import Popen, PIPE
 from threading import Thread
 from pprint import pprint
@@ -161,6 +162,19 @@ class ExtendedEnvBuilder(venv.EnvBuilder):
         self.install_script(context, "pip", url)
 
 
+# function to check cuda version on the machine, this case is for the model TFT
+def check_cuda(folders):
+    path = "/usr/local/cuda/version.txt"
+    exclude_tft = True
+    if os.path.exists(path):
+        with open(path, "w") as f:
+            if "10.1" in str(f.read()) or "10.0" in str(f.read()):
+                exclude_tft = False
+    if exclude_tft and "TFT" in folders:
+        del folders["TFT"]
+    return folders
+
+
 # function to calculate the mean and std of a list in the results dictionary
 def cal_mean_std(results) -> dict:
     mean_std = dict()
@@ -174,11 +188,23 @@ def cal_mean_std(results) -> dict:
 
 
 # function to get all the folders benchmark folder
-def get_all_folders() -> dict:
+def get_all_folders(models, exclude) -> dict:
     folders = dict()
+    if isinstance(models, str):
+        model_list = models.split(",")
+        models = [m.lower().strip("[ ]") for m in model_list]
+    elif isinstance(models, list):
+        models = [m.lower() for m in models]
+    elif models is None:
+        models = [f.name.lower() for f in os.scandir("benchmarks")]
+    else:
+        raise ValueError("Input models type is not supported. Please provide str or list without space.")
     for f in os.scandir("benchmarks"):
-        path = Path("benchmarks") / f.name
+        add = xor(bool(f.name.lower() in models), bool(exclude))
-        folders[f.name] = str(path.resolve())
+        if add:
+            path = Path("benchmarks") / f.name
+            folders[f.name] = str(path.resolve())
+    folders = check_cuda(folders)
     return folders
 
 
@@ -225,13 +251,44 @@ def gen_and_save_md_table(metrics):
 
 
 # function to run the all the models
-def run(times=1):
+def run(times=1, models=None, exclude=False):
     """
     Please be aware that this function can only work under Linux. MacOS and Windows will be supported in the future.
     Any PR to enhance this method is highly welcomed.
+
+    Parameters:
+    -----------
+    times : int
+        determines how many times the model should be running.
+    models : str or list
+        determines the specific model or list of models to run or exclude.
+    exclude : boolean
+        determines whether the model being used is excluded or included.
+
+    Usage:
+    -------
+    Here are some use cases of the function in the bash:
+
+    .. code-block:: bash
+
+        # Case 1 - run all models multiple times
+        python run_all_model.py 3
+
+        # Case 2 - run specific models multiple times
+        python run_all_model.py 3 dnn
+
+        # Case 3 - run other models except those are given as arguments for multiple times
+        python run_all_model.py 3 [dnn,tft,lstm] True
+
+        # Case 4 - run specific models for one time
+        python run_all_model.py --models=[dnn,lightgbm]
+
+        # Case 5 - run other models except those are given as aruments for one time
+        python run_all_model.py --models=[dnn,tft,sfm] --exclude=True
+
     """
     # get all folders
-    folders = get_all_folders()
+    folders = get_all_folders(models, exclude)
     # set up
     compatible = True
     if sys.version_info < (3, 3):