Jump to content

About Autoencoder TensorFlow --Example.dxp

nttcom online

Recommended Posts

 I downloaded autoencoder_tensorflow_v1.0.0.zip from the following URL and used Autoencoder TensorFlow --Example.dxp.

URL : https://community.spotfire.com/s/exchange/aCv4z0000008OckCAE/autoencoder-tensorflow-python-data-function-for-tibco-spotfire

On the "Build and Evaluate Model" page, it says that even if the File Path is empty, it will be executed in the default state.

However, when I set File Path to empty and clicked "Create Autoencoder Model", the following error message appeared.

How can I resolve this error?

If anyone knows please let me know.

------------------------Error Message------------------------

Could not execute function call '[Modeling] Autoencoder TensorFlow'

2022-07-29 11:38:50.877476: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found

2022-07-29 11:38:50.878140: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

2022-07-29 11:39:02.595189: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found

2022-07-29 11:39:02.595235: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)

2022-07-29 11:39:02.609277: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: RNW21151

2022-07-29 11:39:02.609595: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: RNW21151

2022-07-29 11:39:02.609949: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

Error executing Python script:

NameError: name 'fitted_model' is not defined

Traceback (most recent call last):

File "data_function.py", line 341, in _execute_script

exec(compiled_script, self.globals)

File "<data_function>", line 335, in <module>

Standard output:

TensorFlow Version: 2.9.1

Categorical Variables: ['ProductLine']

Numerical Variables: ['ProdPerMinute', 'Pressure', 'BaroPressure', 'WasteGas', 'LossOfEfficiency', 'SR', 'PowerIn', '1dp', '2dp', '3dp', '4dp', '5dp', '6dp']

Model file path: best_model.h5

Model: "sequential"


Layer (type) Output Shape Param #


dense (Dense) (None, 64) 1088


dense_1 (Dense) (None, 32) 2080


dense_2 (Dense) (None, 5) 165


dense_3 (Dense) (None, 32) 192


dense_4 (Dense) (None, 64) 2112


dense_5 (Dense) (None, 16) 1040


Total params: 6,677

Trainable params: 6,677

Non-trainable params: 0



Error in compiling Keras model: Could not interpret optimizer identifier: <keras.optimizers.optimizer_v2.adam.Adam object at 0x00000275396BBE80>

at Spotfire.Dxp.Data.DataFunctions.Executors.LocalPythonFunctionClient.<RunFunction>d__8.MoveNext()

at Spotfire.Dxp.Data.DataFunctions.Executors.PythonScriptExecutor.<ExecuteFunction>d__11.MoveNext()

at Spotfire.Dxp.Data.DataFunctions.DataFunctionExecutorService.<ExecuteFunction>d__8.MoveNext() 

Link to comment
Share on other sites

  • 3 weeks later...
  • 1 month later...

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
  • Create New...