update readme-v0.3 release (#274)

* update readme-v0.3 release

* Update e2e_evaluator.py

Co-authored-by: Wenxiang Hu <huwx@pku.edu.cn>

README.md

@@ -8,7 +8,7 @@
 - Developers who want to deploy their pre-trained model as framework-free source codes with minimum library dependencies.
 - Researchers who want to quickly try new compiler optimization ideas or customize optimizations on some specific models.
 
-### [NNFusion v0.2 has been released!](https://github.com/microsoft/nnfusion/releases/tag/v0.2):raised_hands:
+### [NNFusion v0.3 has been released!](https://github.com/microsoft/nnfusion/releases/tag/v0.3):raised_hands:
 
 ## Highlight features
 - Provide a full-stack optimization mechanism, including:
@@ -94,6 +94,8 @@ For more detailed information on NNFusion usage, please refer to [NNFusion Usage
 
 For TensorFlow users, you can refer to [Kernel Tuner Tutorial](https://github.com/microsoft/nnfusion/blob/master/docs/Compile-a-model-with-kernel-tuning-enabled.md) to learn how to compile a TensorFlow model and tune each operator in this model to generate the end-to-end source code.
 
+For detailed example about training，please refer to [How to use NNFusion Python interface for inference/training](https://github.com/microsoft/nnfusion/tree/master/src/python/example).
+
 ### Build from Source Code
 Researchers or contributors who want to do more research on optimizing model compilation, you can build NNFusion from source code.
 To build from source code, please read the following documents:

docs/README.md

@@ -7,8 +7,10 @@ Welcome to the NNFusion Documents!
    - [Adding-Custom-Operator](/src/contrib/custom_op/README.md)
 2. [Build-Guide](Build-Guide.md)
    - [End-to-end-Test](End-to-end-Test.md)
-3. [Compile-a-Tensorflow-model-with-NNFusion](Compile-a-Tensorflow-model-with-NNFusion.md)
+3. How to compile model with NNFusion
+   - [Compile-a-Tensorflow-model-with-NNFusion](Compile-a-Tensorflow-model-with-NNFusion.md)
    - [Compile-a-model-with-kernel-tuning-enabled](Compile-a-model-with-kernel-tuning-enabled.md)
+   - [How to use NNFusion Python interface for inference/training](../src/python/example/README.md)
 4. [Guide-for-Contributors](Guide-for-Contributors.md)
    - [Contribution-Guide](Contribution-Guide.md)
    - [Coding-Guide](Coding-Guide.md)

test/nnfusion/scripts/evaluator/e2e_evaluator.py

@@ -15,7 +15,7 @@ def __init__(self, testcase, codegen_folder = "cuda_codegen", default_device = "
             self.nnfusion_cli = nnfusion_cli
         self.nnfusion_cli_arg = nnfusion_cli_arg
 
-        self.perf_mode = True
+        self.perf_mode = False
         self.latency = 0
 
     def load_default_nnfusion_cli(self):