Closed Gaurav14cs17 closed 2 years ago
Under investigation. It is easy to implement if you can replace the For loop with a generic layer. Suggestions are welcome. https://github.com/openvinotoolkit/openvino/blob/2021.4.2/ngraph/core/reference/include/ngraph/runtime/reference/region_yolo.hpp
There is no prospect of implementation, so it will be closed.
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 13, 13, 63), dtype=tf.float32, name=None), name='conv2d_17/Conv2D:0', description="created by layer 'conv2d_17'")
layer_type: Const layer_id: 316 tf_layers_dict: (1, 63, 1, 1)
layer_type: Add layer_id: 317 input_layer0: layer_id=315: KerasTensor(type_spec=TensorSpec(shape=(1, 13, 13, 63), dtype=tf.float32, name=None), name='conv2d_17/Conv2D:0', description="created by layer 'conv2d_17'") input_layer1: layer_id=316: Const(ndarray).shape (1, 63, 1, 1) tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 13, 13, 63), dtype=tf.float32, name=None), name='tf.math.add_17/Add:0', description="created by layer 'tf.math.add_17'")
The RegionYolo layer is not yet implemented.