After converting the model to TFLite, there is a significant loss in accuracy.
My models are all basic convolutional、GRU and deconvolution layers。 Hi @panhu,

Please make sure that the model layers, activation functions, padding  and other parameters are configured properly and also check if the model consists of any unsupported ops. Also run the code with latest  tensorflow 2.15 version. If the problem still persists, please share reproducible code for further help. 
Thank You

### 1. System information

-  Linux Ubuntu 16.04
- TensorFlow 2


### 2. Code

converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()

 with open('model.tflite', 'wb') as f:
   f.write(tflite_model)

#### Option A: Reference colab notebooks

Hello, may I ask why there is a significant decrease in accuracy when using tflite for inference after converting the h5 model to tflite? I did not use quantification.

Thanks!
