Change function name and add dev doc

examples/python/paddle_densenet.py

@@ -7,7 +7,7 @@ from pyinfinitensor.onnx import OnnxStub, backend
 import onnx
 import itertools
 
-def run_mnist_train_and_infer():
+def run_cifar_train_and_infer():
     
     paddle.device.set_device("gpu")
 
@@ -78,4 +78,4 @@ def run_mnist_train_and_infer():
 
 
 if __name__ == "__main__":
-    run_mnist_train_and_infer()
+    run_cifar_train_and_infer()

examples/python/paddle_inception.py

@@ -6,7 +6,7 @@ from pyinfinitensor.onnx import OnnxStub, backend
 import onnx
 import itertools
 
-def run_mnist_train_and_infer():
+def run_cifar_train_and_infer():
     
     paddle.device.set_device("gpu")
 
@@ -78,4 +78,4 @@ def run_mnist_train_and_infer():
 
 
 if __name__ == "__main__":
-    run_mnist_train_and_infer() 
+    run_cifar_train_and_infer() 

examples/python/paddle_model_dev.md

@@ -0,0 +1,23 @@
+## Description
+
+This is a doc to tell you how to run paddle*.py in your machine. If your model run on other machines except Nvidia, you may need to make some change.
+
+## What do we do in paddle*.py files?
+
+1. Train model and evalute model with Cifar10 dataset
+
+2. Export paddle model to onnx model
+
+3. Load onnx model, nfer with InfiniTensor and 
+
+## Command
+
+1. Go to `/examples/python` folder 
+
+2. Run the following command
+   
+   1. ```
+      python paddle_resnet.py
+      python paddle_densenet.py
+      python paddle_inception.py
+      ```

examples/python/paddle_resnet.py

@@ -8,7 +8,7 @@ import onnx
 import itertools
 from paddle.vision.models.resnet import BasicBlock
 
-def run_mnist_train_and_infer():
+def run_cifar_train_and_infer():
     
     paddle.device.set_device("gpu")
 
@@ -79,4 +79,4 @@ def run_mnist_train_and_infer():
 
 
 if __name__ == "__main__":
-    run_mnist_train_and_infer()
+    run_cifar_train_and_infer()