WARN PythonKernel Using TensorFlow backend. WARN PythonKernel 2018-03-27 14:27:24.147108: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel 2018-03-27 14:27:24.147511: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\models.py:252: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. WARN PythonKernel warnings.warn('No training configuration found in save file: ' WARN PythonKernel Using TensorFlow backend. WARN PythonKernel 2018-03-27 14:27:56.775165: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel 2018-03-27 14:27:56.775504: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\models.py:252: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. WARN PythonKernel warnings.warn('No training configuration found in save file: ' WARN PythonKernel Using TensorFlow backend. WARN PythonKernel D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\engine\topology.py:2344: UserWarning: Layer lstm_3 was passed non-serializable keyword arguments: {'initial_state': [, ], 'mask': [None, None, None]}. They will not be included in the serialized model (and thus will be missing at deserialization time). WARN PythonKernel str(node.arguments) + '. They will not be included ' WARN PythonKernel 2018-03-27 14:29:28.289023: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel 2018-03-27 14:29:28.289468: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel Using TensorFlow backend. WARN PythonKernel 2018-03-27 14:29:50.486990: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel 2018-03-27 14:29:50.487523: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. WARN PythonKernel D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\models.py:252: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. WARN PythonKernel warnings.warn('No training configuration found in save file: ' ERROR DL Python Network Learner 0:6 Execute failed: Traceback (most recent call last): File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 490, in apply_op preferred_dtype=default_dtype) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\ops.py", line 676, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\constant_op.py", line 121, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\constant_op.py", line 102, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 364, in make_tensor_proto raise ValueError("None values not supported.") ValueError: None values not supported. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 504, in apply_op values, as_ref=input_arg.is_ref).dtype.name File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\ops.py", line 676, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\constant_op.py", line 121, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\constant_op.py", line 102, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 364, in make_tensor_proto raise ValueError("None values not supported.") ValueError: None values not supported. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:\Program Files\knime_3.3.2\plugins\org.knime.python2_3.5.0.v201712011355\py\PythonKernel.py", line 491, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 50, in File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\legacy\interfaces.py", line 87, in wrapper return func(*args, **kwargs) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\engine\training.py", line 2016, in fit_generator self._make_train_function() File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\engine\training.py", line 990, in _make_train_function loss=self.total_loss) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\legacy\interfaces.py", line 87, in wrapper return func(*args, **kwargs) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\optimizers.py", line 237, in get_updates new_a = self.rho * a + (1. - self.rho) * K.square(g) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\keras\backend\tensorflow_backend.py", line 1417, in square return tf.square(x) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\ops\math_ops.py", line 447, in square return gen_math_ops.square(x, name=name) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 2591, in square result = _op_def_lib.apply_op("Square", x=x, name=name) File "D:\Program Files\Anaconda2\envs\py36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 508, in apply_op (input_name, err)) ValueError: Tried to convert 'x' to a tensor and failed. Error: None values not supported.