YOLOv5 Export Benchmarks for GPU (#6963)

* Add benchmarks.py GPU support

* Updates

* Updates

* Updates

* Updates

* Add --half

* Add TRT requirements

* Cleanup

* Add TF to warmup types

* Update export.py

* Update export.py

* Update benchmarks.py

export.py

@@ -75,18 +75,18 @@ from utils.torch_utils import select_device
 
 def export_formats():
     # YOLOv5 export formats
-    x = [['PyTorch', '-', '.pt'],
-         ['TorchScript', 'torchscript', '.torchscript'],
-         ['ONNX', 'onnx', '.onnx'],
-         ['OpenVINO', 'openvino', '_openvino_model'],
-         ['TensorRT', 'engine', '.engine'],
-         ['CoreML', 'coreml', '.mlmodel'],
-         ['TensorFlow SavedModel', 'saved_model', '_saved_model'],
-         ['TensorFlow GraphDef', 'pb', '.pb'],
-         ['TensorFlow Lite', 'tflite', '.tflite'],
-         ['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite'],
-         ['TensorFlow.js', 'tfjs', '_web_model']]
-    return pd.DataFrame(x, columns=['Format', 'Argument', 'Suffix'])
+    x = [['PyTorch', '-', '.pt', True],
+         ['TorchScript', 'torchscript', '.torchscript', True],
+         ['ONNX', 'onnx', '.onnx', True],
+         ['OpenVINO', 'openvino', '_openvino_model', False],
+         ['TensorRT', 'engine', '.engine', True],
+         ['CoreML', 'coreml', '.mlmodel', False],
+         ['TensorFlow SavedModel', 'saved_model', '_saved_model', True],
+         ['TensorFlow GraphDef', 'pb', '.pb', True],
+         ['TensorFlow Lite', 'tflite', '.tflite', False],
+         ['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite', False],
+         ['TensorFlow.js', 'tfjs', '_web_model', False]]
+    return pd.DataFrame(x, columns=['Format', 'Argument', 'Suffix', 'GPU'])
 
 
 def export_torchscript(model, im, file, optimize, prefix=colorstr('TorchScript:')):