Train cnn: Tensor object has no attribute 'assign'

[AaliaLokhandwala]

Using TensorFlow backend.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
2019-05-01 02:46:24.693902: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz
2019-05-01 02:46:24.694102: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x194c520 executing computations on platform Host. Devices:
2019-05-01 02:46:24.694132: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
2019-05-01 02:46:24.836873: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-05-01 02:46:24.837390: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x194be40 executing computations on platform CUDA. Devices:
2019-05-01 02:46:24.837419: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): Tesla T4, Compute Capability 7.5
2019-05-01 02:46:24.837783: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:00:04.0
totalMemory: 14.73GiB freeMemory: 13.89GiB
2019-05-01 02:46:24.837808: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-05-01 02:46:25.343197: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-05-01 02:46:25.343268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0
2019-05-01 02:46:25.343287: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N
2019-05-01 02:46:25.343569: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:42] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2019-05-01 02:46:25.343623: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13426 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)
Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.5/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5
87916544/87910968 [==============================] - 8s 0us/step
Found 31458 images belonging to 101 classes.
Found 0 images belonging to 101 classes.
Loading network from ImageNet weights.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Traceback (most recent call last):
File "train_cnn.py", line 137, in
main(weights_file)
File "train_cnn.py", line 125, in main
model = train_model(model, 10, generators)
File "train_cnn.py", line 114, in train_model
callbacks=callbacks)
File "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/usr/local/lib/python3.6/dist-packages/keras/engine/training_generator.py", line 40, in fit_generator
model._make_train_function()
File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 509, in _make_train_function
loss=self.total_loss)
File "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/keras/optimizers.py", line 269, in get_updates
self.updates.append(K.update(a, new_a))
File "/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py", line 973, in update
return tf.assign(x, new_x)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/state_ops.py", line 224, in assign
return ref.assign(value, name=name)
AttributeError: 'Tensor' object has no attribute 'assign'

Can someone please help with this error?