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Call initializer instance with the dtype argument instead of passing it to the constructor Traceback (most recent call last): File "transfer_learning_new.py", line 477, in
initial_epoch=initial_epoch)
File "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 87, in wrapper
return func(*args, *kwargs)
File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 1926, in fit_generator
self._make_train_function()
File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 960, in _make_train_function
loss=self.total_loss)
File "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 87, in wrapper
return func(args, *kwargs)
File "/usr/local/lib/python3.6/dist-packages/keras/optimizers.py", line 432, in get_updates
m_t = (self.beta_1 m) + (1. - self.beta_1) * g
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py", line 888, in binary_op_wrapper
y, dtype_hint=x.dtype.base_dtype, name="y")
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1145, in convert_to_tensor_v2
as_ref=False)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1224, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 305, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 246, in constant
allow_broadcast=True)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 284, in _constant_impl
allow_broadcast=allow_broadcast))
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/tensor_util.py", line 454, in make_tensor_proto
raise ValueError("None values not supported.")
ValueError: None values not supported.