InvalidArgumentError: indices[0,4] = 10 is not in [0, 10) [[node model/embedding_2/embedding_lookup (defined at <ipython-input-54-57c88bb5c904>:38) ]] [Op:__inference_distributed_function_20003] Errors may have originated from an input operation. Input Source operations connected to node model/embedding_2/embedding_lookup: model/embedding_2/embedding_lookup/19444 (defined at c:\users\naik9\appdata\local\programs\python\python37\lib\contextlib.py:112) Function call stack: distributed_function

[dineshnaikb]

Train on 10240 samples, validate on 1284 samples
Epoch 1/30
40/10240 [..............................] - ETA: 4:26WARNING:tensorflow:Can save best model only with val_categorical_accuracy available, skipping.

InvalidArgumentError Traceback (most recent call last)
in
----> 1 train(model_cnn,'cnn', use_pos, use_meta, use_dep)

in train(model, name, use_pos, use_meta, use_dep)
36 {'main_input': X_val, 'aux_input': X_val_meta, 'dep_input': X_val_dep},
37 {'main_output': Y_val}
---> 38 ), callbacks=[tb,csv_logger,checkpoint])
39 else:
40 model.fit(

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)
817 max_queue_size=max_queue_size,
818 workers=workers,
--> 819 use_multiprocessing=use_multiprocessing)
820
821 def evaluate(self,

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py in fit(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)
340 mode=ModeKeys.TRAIN,
341 training_context=training_context,
--> 342 total_epochs=epochs)
343 cbks.make_logs(model, epoch_logs, training_result, ModeKeys.TRAIN)
344

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py in run_one_epoch(model, iterator, execution_function, dataset_size, batch_size, strategy, steps_per_epoch, num_samples, mode, training_context, total_epochs)
126 step=step, mode=mode, size=current_batch_size) as batch_logs:
127 try:
--> 128 batch_outs = execution_function(iterator)
129 except (StopIteration, errors.OutOfRangeError):
130 # TODO(kaftan): File bug about tf function and errors.OutOfRangeError?

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\keras\engine\training_v2_utils.py in execution_function(input_fn)
96 # numpy translates Tensors to values in Eager mode.
97 return nest.map_structure(_non_none_constant_value,
---> 98 distributed_function(input_fn))
99
100 return execution_function

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\eager\def_function.py in call(self, *args, **kwds)
566 xla_context.Exit()
567 else:
--> 568 result = self._call(*args, **kwds)
569
570 if tracing_count == self._get_tracing_count():

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\eager\def_function.py in _call(self, *args, **kwds)
630 # Lifting succeeded, so variables are initialized and we can run the
631 # stateless function.
--> 632 return self._stateless_fn(*args, **kwds)
633 else:
634 canon_args, canon_kwds = \

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\eager\function.py in call(self, *args, **kwargs)
2361 with self._lock:
2362 graph_function, args, kwargs = self._maybe_define_function(args, kwargs)
-> 2363 return graph_function._filtered_call(args, kwargs) # pylint: disable=protected-access
2364
2365 @Property

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\eager\function.py in _filtered_call(self, args, kwargs)
1609 if isinstance(t, (ops.Tensor,
1610 resource_variable_ops.BaseResourceVariable))),
-> 1611 self.captured_inputs)
1612
1613 def _call_flat(self, args, captured_inputs, cancellation_manager=None):

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\eager\function.py in _call_flat(self, args, captured_inputs, cancellation_manager)
1690 # No tape is watching; skip to running the function.
1691 return self._build_call_outputs(self._inference_function.call(
-> 1692 ctx, args, cancellation_manager=cancellation_manager))
1693 forward_backward = self._select_forward_and_backward_functions(
1694 args,

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\eager\function.py in call(self, ctx, args, cancellation_manager)
543 inputs=args,
544 attrs=("executor_type", executor_type, "config_proto", config),
--> 545 ctx=ctx)
546 else:
547 outputs = execute.execute_with_cancellation(

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\tensorflow_core\python\eager\execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
65 else:
66 message = e.message
---> 67 six.raise_from(core._status_to_exception(e.code, message), None)
68 except TypeError as e:
69 keras_symbolic_tensors = [

c:\users\n\appdata\local\programs\python\python37\lib\site-packages\six.py in raise_from(value, from_value)

InvalidArgumentError: indices[0,4] = 10 is not in [0, 10)
[[node model/embedding_2/embedding_lookup (defined at :38) ]] [Op:__inference_distributed_function_20003]

Errors may have originated from an input operation.
Input Source operations connected to node model/embedding_2/embedding_lookup:
model/embedding_2/embedding_lookup/19444 (defined at c:\users\n\appdata\local\programs\python\python37\lib\contextlib.py:112)

Function call stack:
distributed_function

[dineshnaikb]

https://github.com/Hackerdash/nlp-news/blob/master/project.ipynb

source code

[Saduf2019]

@Hackerdash
please refer to this link, let us know if it helps.

please provide with simple standalone code for us to replicate the issue in our environment with correct indentation and all dependencies along with the tensorflow version to replicate in.Thanks!

[lucifer2288]

same issue

[Saduf2019]

Could you please update us on the above comment on standalone code to help us resolve your issue

[Saduf2019]

Automatically closing due to lack of recent activity. Please update the issue when new information becomes available, and we will reopen the issue. Thanks!

[tensorflow-bot]

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