I am pretty new to the DL so please bear with me if I asked anything stupid.
I had defined a custom model using module tensorflow.python.keras. I had serval TimeDistributed Layer and LSTM layer in the custom model and I successfully save it as follow:
When I tried to free the graph following instruction from various the internet (for example this: https://www.dlology.com/blog/how-to-run-keras-model-on-jetson-nano/)
I received the following error message.
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation.py", line 324, in new_func return func(*args, **kwargs) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/graph_util_impl.py", line 302, in convert_variables_to_constants raise ValueError("Cannot find the variable that is an input " ValueError: Cannot find the variable that is an input to the ReadVariableOp.
But if I use a model with no LSTM and TimeDistributed(with only ConvNet and Dense), tf is able to freeze the graph and generate the .pb file
Did I do something wrong or I need to wait for the TensorFlow update in order to use tensorrt? Is there any beginner guide to tensorrt using jetson Nano?