VGG16 model Error

General Discussion
,
#1

I am having an error on the input and output parameters in Model. It’s giving that error:

1037 f’Graph disconnected: cannot obtain value for tensor {x} ’
1038 f’at layer “{layer.name}”. The following previous layers ’
1039 f’were accessed without issue: {layers_with_complete_input}’)

ValueError: Graph disconnected: cannot obtain value for tensor KerasTensor(type_spec=TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=‘input_2’), name=‘input_2’, description=“created by layer ‘input_2’”) at layer “block1_conv1”. The following previous layers were accessed without issue: []

Can anyone help? Thank you

bboxHead = Dense(128, activation=“relu”)(flatten)

bboxHead = Dense(64, activation=“relu”)(bboxHead)

bboxHead = Dense(32, activation=“relu”)(bboxHead)

bboxHead = Dense(4, activation=“sigmoid”,

name=“bounding_box”)(bboxHead)

construct a second fully-connected layer head, this one to predict

the class label

softmaxHead = Dense(512, activation=“relu”)(flatten)

softmaxHead = Dropout(0.5)(softmaxHead)

softmaxHead = Dense(512, activation=“relu”)(softmaxHead)

softmaxHead = Dropout(0.5)(softmaxHead)

softmaxHead = Dense(len(lb.classes_), activation=“softmax”,

name=“class_label”)(softmaxHead)

put together our model which accept an input image and then output

bounding box coordinates and a class label

model = Model(

inputs=rn50v2.input,

outputs=(bboxHead, softmaxHead))

#3

Graph disconnected means that you did not configure your model correctly so that the TensorFlow cannot find a connected path between your input and output layer.

Please provide a stand alone code to reproduce the issue reported here. Thank you!