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autokeras StructuredDataRegressor failure

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Jan 27th, 2020
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  1. Epoch 1/1000
  2. WARNING:tensorflow:Entity <function Function._initialize_uninitialized_variables.<locals>.initialize_variables at 0x000001CAA53FE9D8> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <function Function._initialize_uninitialized_variables.<locals>.initialize_variables at 0x000001CAA53FE9D8>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
  3. WARNING: Entity <function Function._initialize_uninitialized_variables.<locals>.initialize_variables at 0x000001CAA53FE9D8> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <function Function._initialize_uninitialized_variables.<locals>.initialize_variables at 0x000001CAA53FE9D8>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
  4.       1/Unknown - 0s 462ms/stepWARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are:
  5. WARNING:tensorflow:Can save best model only with val_loss available, skipping.
  6.       1/Unknown - 0s 467ms/stepTraceback (most recent call last):
  7.  
  8.   File "<ipython-input-104-6d7eca7116a0>", line 5, in <module>
  9.     clf.fit(feat, df['Brix'])
  10.  
  11.   File "C:\Anaconda3\envs\vingin\lib\site-packages\autokeras\task.py", line 519, in fit
  12.     **kwargs)
  13.  
  14.   File "C:\Anaconda3\envs\vingin\lib\site-packages\autokeras\auto_model.py", line 208, in fit
  15.     **kwargs)
  16.  
  17.   File "C:\Anaconda3\envs\vingin\lib\site-packages\autokeras\tuner.py", line 213, in search
  18.     super().search(hyper_graph=hyper_graph, **kwargs)
  19.  
  20.   File "C:\Anaconda3\envs\vingin\lib\site-packages\autokeras\tuner.py", line 144, in search
  21.     super().search(callbacks=new_callbacks, **fit_kwargs)
  22.  
  23.   File "C:\Anaconda3\envs\vingin\lib\site-packages\kerastuner\engine\base_tuner.py", line 130, in search
  24.     self.run_trial(trial, *fit_args, **fit_kwargs)
  25.  
  26.   File "C:\Anaconda3\envs\vingin\lib\site-packages\autokeras\tuner.py", line 52, in run_trial
  27.     super().run_trial(trial, **new_fit_kwargs)
  28.  
  29.   File "C:\Anaconda3\envs\vingin\lib\site-packages\kerastuner\engine\multi_execution_tuner.py", line 96, in run_trial
  30.     history = model.fit(*fit_args, **copied_fit_kwargs)
  31.  
  32.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 728, in fit
  33.  
  34.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 324, in fit
  35.  
  36.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 123, in run_one_epoch
  37.  
  38.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\keras\engine\training_v2_utils.py", line 86, in execution_function
  39.  
  40.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\eager\def_function.py", line 457, in __call__
  41.  
  42.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\eager\def_function.py", line 520, in _call
  43.  
  44.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\eager\function.py", line 1823, in __call__
  45.  
  46.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\eager\function.py", line 1141, in _filtered_call
  47.  
  48.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\eager\function.py", line 1224, in _call_flat
  49.  
  50.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\eager\function.py", line 511, in call
  51.  
  52.   File "C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\eager\execute.py", line 67, in quick_execute
  53.  
  54.   File "<string>", line 3, in raise_from
  55.  
  56. InternalError:  Blas GEMM launch failed : a.shape=(32, 230), b.shape=(230, 32), m=32, n=32, k=230
  57.      [[node model/dense/MatMul (defined at C:\Anaconda3\envs\vingin\lib\site-packages\tensorflow_core\python\framework\ops.py:1751) ]] [Op:__inference_distributed_function_831758]
  58.  
  59. Function call stack:
  60. distributed_function
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