gistfile1.txt

WARNING:tensorflow:Model was constructed with shape (None, 50) for input Tensor("x1:0", shape=(None, 50), dtype=int32), but it was called on an input with incompatible shape (50, 1).
Traceback (most recent call last):
  File "/usr/lib/python3.8/contextlib.py", line 131, in __exit__
    self.gen.throw(type, value, traceback)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/ops/variable_scope.py", line 2805, in variable_creator_scope
    yield
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 848, in fit
    tmp_logs = train_function(iterator)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 580, in __call__
    result = self._call(*args, **kwds)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 627, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 505, in _initialize
    self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2446, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2777, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2657, in _create_graph_function
    func_graph_module.func_graph_from_py_func(
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 981, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 441, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "$VENV_PATH/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 968, in wrapper
    raise e.ag_error_metadata.to_exception(e)
ValueError: in user code:
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
        outputs = self.distribute_strategy.run(
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/distribute/distribute_lib.py:951 run  **
        return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/distribute/distribute_lib.py:2290 call_for_each_replica
        return self._call_for_each_replica(fn, args, kwargs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/distribute/distribute_lib.py:2649 _call_for_each_replica
        return fn(*args, **kwargs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:531 train_step  **
        y_pred = self(x, training=True)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py:927 __call__
        outputs = call_fn(cast_inputs, *args, **kwargs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py:717 call
        return self._run_internal_graph(
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py:888 _run_internal_graph
        output_tensors = layer(computed_tensors, **kwargs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py:927 __call__
        outputs = call_fn(cast_inputs, *args, **kwargs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/layers/merge.py:183 call
        return self._merge_function(inputs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/layers/merge.py:522 _merge_function
        return K.concatenate(inputs, axis=self.axis)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/keras/backend.py:2709 concatenate
        return array_ops.concat([to_dense(x) for x in tensors], axis)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/util/dispatch.py:180 wrapper
        return target(*args, **kwargs)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/ops/array_ops.py:1606 concat
        return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/ops/gen_array_ops.py:1188 concat_v2
        _, _, _op, _outputs = _op_def_library._apply_op_helper(
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/framework/op_def_library.py:742 _apply_op_helper
        op = g._create_op_internal(op_type_name, inputs, dtypes=None,
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py:593 _create_op_internal
        return super(FuncGraph, self)._create_op_internal(  # pylint: disable=protected-access
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/framework/ops.py:3319 _create_op_internal
        ret = Operation(
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/framework/ops.py:1816 __init__
        self._c_op = _create_c_op(self._graph, node_def, inputs,
    $VENV_PATH/lib/python3.8/site-packages/tensorflow/python/framework/ops.py:1657 _create_c_op
        raise ValueError(str(e))
    ValueError: Dimension 0 in both shapes must be equal, but are 50 and 1. Shapes are [50] and [1]. for '{{node model/concatenate/concat}} = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32](model/flatten/Reshape, ExpandDims_1, model/concatenate/concat/axis)' with input shapes: [50,10], [1,1], [] and with computed input tensors: input[2] = <1>.