Bug: Unable to predict data using the model trained (Node: 'model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2' Table not initialized. [[{{node model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2}}]] [Op:__inference_predict_function_10129638] )

[y-sheng]

Bug Description

Data: I am training an Autokeras model using a data frame, I preprocessed the df myself, label encoded categorical data and standardscaler for numeric data. The data is split into 0.8 for training and 0.2 for testing. y is numeric data.

Model:I used StructuredDataRegressor to train the model.

Model: "model"

---

Layer (type) Output Shape Param #

input_1 (InputLayer) [(None, 14)] 0

multi_category_encoding (Mu (None, 14) 0
ltiCategoryEncoding)

normalization (Normalizatio (None, 14) 29
n)

dense (Dense) (None, 16) 240

re_lu (ReLU) (None, 16) 0

regression_head_1 (Dense) (None, 1) 17

=================================================================
Total params: 286
Trainable params: 257
Non-trainable params: 29

---

Issue: So the model successfully trained, but when I tried to evaluate it, the following error message shown.

1 y_pred = auto_bestcsvmodel.predict(x_test)

  2 r2 = r2_score(y_test, y_pred)
  3 print ('r2_score: %s' % r2)

~\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py in error_handler(*args, **kwargs)
68 # To get the full stack trace, call:
69 # tf.debugging.disable_traceback_filtering()
---> 70 raise e.with_traceback(filtered_tb) from None
71 finally:
72 del filtered_tb

~\anaconda3\envs\gsv\lib\site-packages\tensorflow\python\eager\execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
52 try:
53 ctx.ensure_initialized()
---> 54 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
55 inputs, attrs, num_outputs)
56 except core._NotOkStatusException as e:

FailedPreconditionError: Graph execution error:

Detected at node 'model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2' defined at (most recent call last):
File "C:\Users\marvel\anaconda3\envs\gsv\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\marvel\anaconda3\envs\gsv\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel_launcher.py", line 17, in
app.launch_new_instance()
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\traitlets\config\application.py", line 846, in launch_instance
app.start()
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel\kernelapp.py", line 712, in start
self.io_loop.start()
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\tornado\platform\asyncio.py", line 199, in start
self.asyncio_loop.run_forever()
File "C:\Users\marvel\anaconda3\envs\gsv\lib\asyncio\base_events.py", line 601, in run_forever
self._run_once()
File "C:\Users\marvel\anaconda3\envs\gsv\lib\asyncio\base_events.py", line 1905, in _run_once
handle._run()
File "C:\Users\marvel\anaconda3\envs\gsv\lib\asyncio\events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel\kernelbase.py", line 510, in dispatch_queue
await self.process_one()
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel\kernelbase.py", line 499, in process_one
await dispatch(*args)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel\kernelbase.py", line 406, in dispatch_shell
await result
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel\kernelbase.py", line 730, in execute_request
reply_content = await reply_content
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel\ipkernel.py", line 390, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\ipykernel\zmqshell.py", line 528, in run_cell
return super().run_cell(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\IPython\core\interactiveshell.py", line 2914, in run_cell
result = self._run_cell(
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\IPython\core\interactiveshell.py", line 2960, in _run_cell
return runner(coro)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\IPython\core\async_helpers.py", line 78, in pseudo_sync_runner
coro.send(None)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\IPython\core\interactiveshell.py", line 3185, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\IPython\core\interactiveshell.py", line 3377, in run_ast_nodes
if (await self.run_code(code, result, async=asy)):
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\IPython\core\interactiveshell.py", line 3457, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "C:\Users\marvel\AppData\Local\Temp\ipykernel_39304\2476633152.py", line 1, in
y_predt_a = auto_bestcsvmodel.predict(epc_test)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\training.py", line 2253, in predict
tmp_batch_outputs = self.predict_function(iterator)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\training.py", line 2041, in predict_function
return step_function(self, iterator)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\training.py", line 2027, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\training.py", line 2015, in run_step
outputs = model.predict_step(data)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\training.py", line 1983, in predict_step
return self(x, training=False)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\training.py", line 557, in call
return super().call(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\base_layer.py", line 1097, in call
outputs = call_fn(inputs, *args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\functional.py", line 510, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\functional.py", line 667, in _run_internal_graph
outputs = node.layer(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\base_layer.py", line 1097, in call
outputs = call_fn(inputs, *args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\autokeras\keras_layers.py", line 99, in call
for input_node, encoding_layer in zip(split_inputs, self.encoding_layers):
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\autokeras\keras_layers.py", line 100, in call
if encoding_layer is None:
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\autokeras\keras_layers.py", line 108, in call
output_nodes.append(
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\engine\base_layer.py", line 1097, in call
outputs = call_fn(inputs, *args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\utils\traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\layers\preprocessing\index_lookup.py", line 745, in call
lookups = self._lookup_dense(inputs)
File "C:\Users\marvel\anaconda3\envs\gsv\lib\site-packages\keras\layers\preprocessing\index_lookup.py", line 781, in _lookup_dense
lookups = self.lookup_table.lookup(inputs)
Node: 'model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2'
Table not initialized.
[[{{node model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2}}]] [Op:__inference_predict_function_10129638]

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