![]() > 3040 filtered_flat_args, captured_inputs=graph_function.captured_inputs) # pylint: disable=protected-accessģ042 in _call_flat(self, args, captured_inputs, cancellation_manager)ġ962 # No tape is watching skip to running the function.ġ963 return self._build_call_outputs(self._inference_function.call( opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/function.py in _call_(self, *args, **kwargs)ģ038 filtered_flat_args) = self._maybe_define_function(args, kwargs) > 917 return self._stateless_fn(*args, **kwds) # pylint: disable=not-callableĩ19 # Release the lock early so that multiple threads can perform the call opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py in _call(self, *args, **kwds)ĩ15 # In this case we have created variables on the first call, so we run theĩ16 # defunned version which is guaranteed to never create variables. > 885 result = self._call(*args, **kwds)Ĩ87 new_tracing_count = self.experimental_get_tracing_count() opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py in _call_(self, *args, **kwds)Ĩ84 with OptionalXlaContext(self._jit_compile): > 1184 tmp_logs = ain_function(iterator) opt/conda/lib/python3.7/site-packages/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_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)ġ183 callbacks.on_train_batch_begin(step) InvalidArgumentError Traceback (most recent call last) In the meantime, here is the full error message:. ![]()
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