error in cycle gan

[kunalkushwahatg]

I got output x error in cycle gan code
C:\Users\kunal kushwaha\Desktop\deep learning\GANS\Keras-GAN-master\cyclegan>cyclegan.py
2020-11-16 10:18:45.150934: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
Using TensorFlow backend.
2020-11-16 10:18:48.422631: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2020-11-16 10:18:49.377302: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
2020-11-16 10:18:49.385181: I tensorflow/stream_executor/platform/default/dlopen_checker_stub.cc:25] GPU libraries are statically linked, skip dlopen check.
2020-11-16 10:18:49.391607: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2020-11-16 10:18:49.395769: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2020-11-16 10:18:49.405156: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
2020-11-16 10:18:49.417555: I tensorflow/stream_executor/platform/default/dlopen_checker_stub.cc:25] GPU libraries are statically linked, skip dlopen check.
2020-11-16 10:18:49.426601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2020-11-16 10:18:50.256764: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-11-16 10:18:50.263236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2020-11-16 10:18:50.269080: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2020-11-16 10:18:50.274571: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3001 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
1 Physical GPUs, 1 Logical GPUs
2020-11-16 10:18:52.382140: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2020-11-16 10:18:53.522456: W tensorflow/stream_executor/cuda/redzone_allocator.cc:312] Internal: Invoking ptxas not supported on Windows
Relying on driver to perform ptx compilation. This message will be only logged once.
C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training.py:297: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set model.trainable without calling model.compile after ?
'Discrepancy between trainable weights and collected trainable'
C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training.py:297: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set model.trainable without calling model.compile after ?
'Discrepancy between trainable weights and collected trainable'
C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training.py:297: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set model.trainable without calling model.compile after ?
'Discrepancy between trainable weights and collected trainable'
[Epoch 0/200] [Batch 0/995] [D loss: 41.096264, acc: 17%] [G loss: 112.422920, adv: 46.514774, recon: 0.879156, id: 1.014907] time: 0:00:27.812970
C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training.py:297: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set model.trainable without calling model.compile after ?
'Discrepancy between trainable weights and collected trainable'
2020-11-16 10:20:18.783769: W tensorflow/core/common_runtime/base_collective_executor.cc:216] BaseCollectiveExecutor::StartAbort Failed precondition: Error while reading resource variable _AnonymousVar114 from Container: localhost. This could mean that the variable was uninitialized. Not found: Resource localhost/_AnonymousVar114/class tensorflow::Var does not exist.
[[{{node mul_6/ReadVariableOp}}]]
Traceback (most recent call last):
File "C:\Users\kunal kushwaha\Desktop\deep learning\GANS\Keras-GAN-master\cyclegan\cyclegan.py", line 274, in
gan.train(epochs=200, batch_size=1, sample_interval=200)
File "C:\Users\kunal kushwaha\Desktop\deep learning\GANS\Keras-GAN-master\cyclegan\cyclegan.py", line 197, in train
dA_loss_real = self.d_A.train_on_batch(imgs_A, valid)
File "C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training.py", line 1514, in train_on_batch
outputs = self.train_function(ins)
File "C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_core\python\keras\backend.py", line 3740, in call
outputs = self._graph_fn(*converted_inputs)
File "C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_core\python\eager\function.py", line 1081, in call
return self._call_impl(args, kwargs)
File "C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_core\python\eager\function.py", line 1121, in _call_impl
return self._call_flat(args, self.captured_inputs, cancellation_manager)
File "C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_core\python\eager\function.py", line 1224, in _call_flat
ctx, args, cancellation_manager=cancellation_manager)
File "C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_core\python\eager\function.py", line 511, in call
ctx=ctx)
File "C:\Users\kunal kushwaha\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_core\python\eager\execute.py", line 67, in quick_execute
six.raise_from(core._status_to_exception(e.code, message), None)
File "", line 3, in raise_from
tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable _AnonymousVar114 from Container: localhost. This could mean that the variable was uninitialized. Not found: Resource localhost/_AnonymousVar114/class tensorflow::Var does not exist.
[[node mul_6/ReadVariableOp (defined at \AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_core\python\framework\ops.py:1751) ]] [Op:__inference_keras_scratch_graph_6751]

Function call stack:
keras_scratch_graph

please help sir
thanks in advance