Fixes to Ensure reload_dir can and data_dir take absolute paths

hpvm/projects/keras/frontend/approxhpvm_translator.py

@@ -978,7 +978,7 @@ class TensorRtTranslator:
 
     self.add_header()
     
-    dir_path = "std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + std::string(\"" + weights_dir +  "\"); \n"
+    dir_path = "std::string dir_prefix = std::string(\"" + weights_dir +  "\"); \n"
     self.weight_str += dir_path
 
     if test_data is not None:

hpvm/projects/keras/src/Benchmark.py

@@ -97,10 +97,13 @@ class Benchmark:
 
       if len(argv) > 2:
         if argv[2] == "frontend":
+
+          if argv[1] == "hpvm_reload": # If reloading HPVM weights use this as directory to load from in HPVM-C generated src
+              self.data_dir = self.reload_dir
           
           # Main call to ApproxHPVM-Keras Frontend
           working_dir = translate_to_approxhpvm(model,
-                                                self.data_dir, self.src_dir,  ##  "data/test_src/", 
+                                                self.data_dir, self.src_dir,   
                                                 X_test, y_test,
                                                 X_tuner, y_tuner,
                                                 self.batch_size, # FIXIT

hpvm/projects/keras/src/Config.py

 
+import pathlib
+
+
 # Path Relative to Model Params Directory
-MODEL_PARAMS_DIR = "../../../hpvm/test/dnn_benchmarks/model_params/"
+abs_path = pathlib.Path(__file__).parent.absolute()
+MODEL_PARAMS_DIR = str(abs_path) + "/../../../../hpvm/test/dnn_benchmarks/model_params/"
+
+
+if __name__ == "__main__":
+
+    abs_path = pathlib.Path(__file__).parent.absolute()
+    print (abs_path)

hpvm/projects/keras/src/alexnet.py

@@ -142,7 +142,8 @@ if __name__ == '__main__':
     ### Parameters specific to each benchmark
     reload_dir = MODEL_PARAMS_DIR + '/alexnet_cifar10/'
     keras_model_file = MODEL_PARAMS_DIR + '/alexnet_cifar10/weights.h5'
-    data_dir = '/alexnet_cifar10/' 
+    #data_dir = '/alexnet_cifar10/'
+    data_dir = ''
     src_dir = 'data/alexnet_cifar10_src/'
     num_classes = 10
     batch_size = 500