Update densenet-121-tf to use modern keras API

Ticket 148371

Author: Wovchena

models/public/densenet-121-tf/README.md

@@ -25,7 +25,7 @@ For details, see [TensorFlow\* API docs](https://www.tensorflow.org/api_docs/pyt
 
 ### Original Model
 
-Image, name: `input_1`, shape: `1, 224, 224, 3`, format: `B, H, W, C`, where:
+Image, name: `keras_tensor`, shape: `1, 224, 224, 3`, format: `B, H, W, C`, where:
 
 - `B` - batch size
 - `H` - image height
@@ -37,7 +37,7 @@ Mean values - [123.68, 116.78, 103.94], scale values - [58.395,57.12,57.375].
 
 ### Converted Model
 
-Image, name: `input_1`, shape: `1, 224, 224, 3`, format: `B, H, W, C`, where:
+Image, name: `keras_tensor`, shape: `1, 224, 224, 3`, format: `B, H, W, C`, where:
 
 - `B` - batch size
 - `H` - image height

models/public/densenet-121-tf/model.yml

@@ -25,13 +25,13 @@ files:
     original_source: https://storage.googleapis.com/tensorflow/keras-applications/densenet/densenet121_weights_tf_dim_ordering_tf_kernels.h5
     source: https://storage.openvinotoolkit.org/repositories/open_model_zoo/public/2022.1/densenet-121-tf/densenet121_weights_tf_dim_ordering_tf_kernels.h5
 input_info:
-  - name: input_1
+  - name: keras_tensor
     shape: [1, 224, 224, 3]
     layout: NHWC
 model_optimizer_args:
   - --reverse_input_channels
-  - --mean_values=input_1[123.68,116.78,103.94]
-  - --scale_values=input_1[58.395,57.12,57.375]
+  - --mean_values=keras_tensor[123.68,116.78,103.94]
+  - --scale_values=keras_tensor[58.395,57.12,57.375]
   - --saved_model_dir=$conv_dir/densenet-121.savedmodel
 framework: tf
 license: https://raw.githubusercontent.com/tensorflow/tensorflow/master/LICENSE

models/public/densenet-121-tf/pre-convert.py

@@ -30,7 +30,7 @@ def main():
     model = tf.keras.applications.DenseNet121(
         weights=str(args.input_dir / 'densenet121_weights_tf_dim_ordering_tf_kernels.h5')
     )
-    model.save(filepath=args.output_dir / 'densenet-121.savedmodel')
+    model.export(filepath=args.output_dir / 'densenet-121.savedmodel')
 
 
 if __name__ == '__main__':