code problems

[dawei-hao]

Traceback (most recent call last):
File "/home/user/ShadowCreative/Siamese network/Siamese-Networks-for-One-Shot-Learning/train_siamese_network.py", line 59, in
main()
File "/home/user/ShadowCreative/Siamese network/Siamese-Networks-for-One-Shot-Learning/train_siamese_network.py", line 46, in main
model_name='siamese_net_lr10e-4')
File "/home/user/ShadowCreative/Siamese network/Siamese-Networks-for-One-Shot-Learning/siamese_network.py", line 235, in train_siamese_network
train_loss, train_accuracy = self.model.train_on_batch(images, labels)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 1727, in train_on_batch
logs = self.train_function(iterator)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py", line 828, in call
result = self._call(*args, **kwds)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py", line 871, in _call
self._initialize(args, kwds, add_initializers_to=initializers)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py", line 726, in _initialize
*args, **kwds))
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 2969, in _get_concrete_function_internal_garbage_collected
graph_function, _ = self._maybe_define_function(args, kwargs)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 3361, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 3206, in _create_graph_function
capture_by_value=self._capture_by_value),
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/framework/func_graph.py", line 990, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py", line 634, in wrapped_fn
out = weak_wrapped_fn().wrapped(*args, **kwds)
File "/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/framework/func_graph.py", line 977, in wrapper
raise e.ag_error_metadata.to_exception(e)
TypeError: in user code:

/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py:805 train_function  *
    return step_function(self, iterator)
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py:795 step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/distribute/distribute_lib.py:1259 run
    return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/distribute/distribute_lib.py:2730 call_for_each_replica
    return self._call_for_each_replica(fn, args, kwargs)
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/distribute/distribute_lib.py:3417 _call_for_each_replica
    return fn(*args, **kwargs)
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py:788 run_step  **
    outputs = model.train_step(data)
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py:757 train_step
    self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:497 minimize
    loss, var_list=var_list, grad_loss=grad_loss, tape=tape)
/home/user/anaconda3/envs/tensorflow-gpu/lib/python3.6/site-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:547 _compute_gradients
    with ops.name_scope_v2(self._name + "/gradients"):

TypeError: unsupported operand type(s) for +: 'Modified_SGD' and 'str'

Process finished with exit code 1

@@@@@
Hi, i met some problems

[Tiago Freitas]

Hi,

I am pretty sure this is problems with the versioning of TensorFlow. Since I wrote this code the TensorFlow backend changed drastically. So there should be needed some changes in the code to make it run in TensorFlow 2

Does the problem also occur if you use SGD or Adam?