Update README.md

README.md

@@ -25,6 +25,7 @@ Self-Created Tools to convert ONNX files (NCHW) to TensorFlow format (NHWC). The
 - [x] If there are ONNX OPs that are not supported by TensorFlow, use [simple-onnx-processing-tools](https://github.com/PINTO0309/simple-onnx-processing-tools) to replace them with harmless OPs in advance and then use this tool to convert them. In other words, you can convert any model with your efforts.
 - [x] ONNX splitting, merging, generating OPs, rewriting OP attributes, BGR<->RGB conversion, converting to JSON and editing in the IDE, batch size changes for undefined dimensions, and various other processing can be done with the [simple-onnx-processing-tools](https://github.com/PINTO0309/simple-onnx-processing-tools). Therefore, it is recommended that models with very complex structures be converted to TFLite after modifying the structure beforehand.
 - [x] `BatchNormalization` supports only inference mode.
+- [x] `LayerNormalization` supports only inference mode.
 - [x] Only for `opset=11` or higher
 - [x] If you do not like the generated TFLite OP name, edit it using [tflite2json2tflite](https://github.com/PINTO0309/tflite2json2tflite).
 - [x] The generated Keras models cannot be used for retraining. If you want to train, you must build your own model.