indices[3817] = 4501 is not in [0, 4500)

[XinyuDu]

When run model.fit cell get this error:
`---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
in
5 tf.keras.preprocessing.sequence.pad_sequences(user_title_list_e['all_genres'])
6 ],user_title_list_e['predict_labels'].values,callbacks=[tensorboard_callback],
----> 7 steps_per_epoch=1, epochs=1000,verbose=1)

/usr/local/anaconda3/lib/python3.6/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,

/usr/local/anaconda3/lib/python3.6/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

/usr/local/anaconda3/lib/python3.6/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?

/usr/local/anaconda3/lib/python3.6/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

/usr/local/anaconda3/lib/python3.6/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():

/usr/local/anaconda3/lib/python3.6/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 = \

/usr/local/anaconda3/lib/python3.6/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

/usr/local/anaconda3/lib/python3.6/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):

/usr/local/anaconda3/lib/python3.6/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,

/usr/local/anaconda3/lib/python3.6/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(

/usr/local/anaconda3/lib/python3.6/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 = [

/usr/local/anaconda3/lib/python3.6/site-packages/six.py in raise_from(value, from_value)

InvalidArgumentError: indices[3817] = 4501 is not in [0, 4500)
[[{{node model/aggregate_embeddings_3/PartitionedCall/RaggedMask/boolean_mask/GatherV2}}]] [Op:__inference_distributed_function_3953]

Function call stack:
distributed_function
`

[PokemanCatcher69]

Hey any fix for this?

[derekwuchengyu]

PokemanCatcher69 add +1e-10 at the end, convert the sequences into np.float32
tf.keras.preprocessing.sequence.pad_sequences(user_title_list_e['title_d'],padding='post',truncating='post')+1e-10

This works for me.

[flavorfan]

More detail please.

[basselmasri]

Any solutions for this yet?