Adding measured network times over 4G LTE network

llvm/projects/hpvm-tensor-rt/bin/time_jetson_profiles.py

@@ -19,7 +19,9 @@ ResNet50.binary_path = "resnet_imagenet"
 ResNet50.binary_time = 3.85 * 100  # 50 images * 100 batches
 ResNet50.batch_time = 3.85  # Time for batch with 50 images
 ResNet50.num_layers = 53
-ResNet50.data_size = 50 * 3 * 224 * 224
+ResNet50.data_size = 50 * 3 * 224 * 224 * 4   # *4 for Float32 Data
+ResNet50.num_classes = 1000
+ResNet50.batch_size = 50
 
 
 
@@ -29,8 +31,9 @@ VGG16_ImageNet.binary_path = "vgg16_imagenet"
 VGG16_ImageNet.binary_time = 4.55 * 100  # 50 images * 100 batches
 VGG16_ImageNet.batch_time = 4.55
 VGG16_ImageNet.num_layers = 16
-VGG16_ImageNet.data_size = 50 * 3 * 224 * 224
-
+VGG16_ImageNet.data_size = 50 * 3 * 224 * 224 * 4
+VGG16_ImageNet.num_classes = 1000
+VGG16_ImageNet.batch_size = 50
 
 
 AlexNet_ImageNet = Benchmark()
@@ -38,7 +41,9 @@ AlexNet_ImageNet.binary_path = "alexnet_imagenet"
 AlexNet_ImageNet.binary_time = 0.66 * 100  
 AlexNet_ImageNet.batch_time = 0.66
 AlexNet_ImageNet.num_layers = 8
-AlexNet_ImageNet.data_size = 50 * 3 * 224 * 224
+AlexNet_ImageNet.data_size = 50 * 3 * 224 * 224 * 4
+AlexNet_ImageNet.num_classes = 1000
+AlexNet_ImageNet.batch_size = 50
 
 
 
@@ -51,6 +56,9 @@ promise_knobs = 7
 
 total_machines = 100
 total_confs = 50
+download_time_per_1MB = (6.1 * 60) / 100  # 6.1 mins over 4G LTE network for 100 MB data upload
+upload_time_per_1MB = (26.4 * 60) / 100  # 26.4 mins over 4G LTE network for 100 MB data upload
+
 
 
 
@@ -77,7 +85,7 @@ def getErrorProfileTime(Bench):
 
 def getConfTime(Bench):
 
-    conf_per_machine = promise_conf_runs * (total_confs * 1.0/ total_machines)
+    conf_per_machine = promise_conf_runs * (total_confs * 1.0 / total_machines)
     conf_time = conf_per_machine * Bench.binary_time
     
     return conf_time
@@ -85,13 +93,32 @@ def getConfTime(Bench):
 
 
 
+def getNetworkTime(Bench):
+
+    # Calibration Download Time
+    download_data_MB = Bench.data_size / 1000000  
+    download_data_time = download_data_MB * download_time_per_1MB
+
+    # Profile Uploading (to Cloud Server) Time
+    total_knobs = (promise_knobs + 1) * Bench.num_layers
+    profile_size = total_knobs * Bench.batch_size * Bench.num_classes * 4  # *4 for FP32 data
+    profile_size_MB = profile_size / 1000000
+    upload_data_time = profile_size_MB * upload_time_per_1MB
+
+    network_time = download_data_time + upload_data_time
+    
+    return network_time
+
+  
+  
 
 def getTimeOnEdge(Bench):
 
     err_time = getErrorProfileTime(Bench)
     conf_time = getConfTime(Bench)
+    network_time = getNetworkTime(Bench)
 
-    total_time = err_time + conf_time
+    total_time = err_time + conf_time + network_time
     total_time = total_time / 60
     
     return total_time