InvalidArgumentError: Graph execution error: Input to reshape is a tensor with 1204224 values, but the requested shape has 4816896

[innat]

import tensorflow as tf # 2.13

params = tf.experimental.tensorrt.ConversionParams(
    precision_mode="FP16", 
    maximum_cached_engines=3
)
converter = tf.experimental.tensorrt.Converter(
    input_saved_model_dir='/kaggle/working/swin_t', # TF SavedModel
    conversion_params=params,
    use_dynamic_shape=True,
    dynamic_shape_profile_strategy='Range+Optimal'
)
converter.convert()

def input_fn():
    input_shapes = [
        [(1,  8, 224, 224, 3)],
        [(1, 16, 224, 224, 3)],
        [(1, 32, 224, 224, 3)]
    ]
    for shapes in input_shapes:
        yield [
            np.zeros(x, dtype=np.float32) for x in shapes
        ]

converter.build(input_fn=input_fn) 
converter.save("tensorrt_model")

---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
Cell In[8], line 1
----> 1 converter.build(input_fn=input_fn) 
      2 converter.save("tensorrt_model")

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/compiler/tensorrt/trt_convert.py:1532, in TrtGraphConverterV2.build(self, input_fn)
   1530     first_input = inp
   1531   args, kwargs = _convert_to_tensor(inp)
-> 1532   func(*args, **kwargs)
   1534 if self._need_trt_profiles():
   1535   # Disable profile generation.
   1536   self._for_each_trt_node(self._converted_graph_def,
   1537                           partial(_set_profile_generation_mode, False))

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/monomorphic_function.py:1184, in ConcreteFunction.__call__(self, *args, **kwargs)
   1134 def __call__(self, *args, **kwargs):
   1135   """Executes the wrapped function.
   1136 
   1137   ConcreteFunctions have two signatures:
   (...)
   1182     TypeError: If the arguments do not match the function's signature.
   1183   """
-> 1184   return self._call_impl(args, kwargs)

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/wrap_function.py:243, in WrappedFunction._call_impl(self, args, kwargs)
    241   return self._call_flat(args, self.captured_inputs)
    242 else:
--> 243   return super(WrappedFunction, self)._call_impl(args, kwargs)

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/monomorphic_function.py:1200, in ConcreteFunction._call_impl(self, args, kwargs)
   1197     except TypeError:
   1198       raise structured_err
-> 1200 return self._call_with_flat_signature(args, kwargs)

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/monomorphic_function.py:1252, in ConcreteFunction._call_with_flat_signature(self, args, kwargs)
   1247   if not isinstance(
   1248       arg, (ops.Tensor, resource_variable_ops.BaseResourceVariable)):
   1249     raise TypeError(f"{self._flat_signature_summary()}: expected argument "
   1250                     f"#{i}(zero-based) to be a Tensor; "
   1251                     f"got {type(arg).__name__} ({arg}).")
-> 1252 return self._call_flat(args, self.captured_inputs)

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/monomorphic_function.py:1349, in ConcreteFunction._call_flat(self, args, captured_inputs)
   1345 possible_gradient_type = gradients_util.PossibleTapeGradientTypes(args)
   1346 if (possible_gradient_type == gradients_util.POSSIBLE_GRADIENT_TYPES_NONE
   1347     and executing_eagerly):
   1348   # No tape is watching; skip to running the function.
-> 1349   return self._build_call_outputs(self._inference_function(*args))
   1350 forward_backward = self._select_forward_and_backward_functions(
   1351     args,
   1352     possible_gradient_type,
   1353     executing_eagerly)
   1354 forward_function, args_with_tangents = forward_backward.forward()

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/atomic_function.py:196, in AtomicFunction.__call__(self, *args)
    194 with record.stop_recording():
    195   if self._bound_context.executing_eagerly():
--> 196     outputs = self._bound_context.call_function(
    197         self.name,
    198         list(args),
    199         len(self.function_type.flat_outputs),
    200     )
    201   else:
    202     outputs = make_call_op_in_graph(self, list(args))

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/context.py:1457, in Context.call_function(self, name, tensor_inputs, num_outputs)
   1455 cancellation_context = cancellation.context()
   1456 if cancellation_context is None:
-> 1457   outputs = execute.execute(
   1458       name.decode("utf-8"),
   1459       num_outputs=num_outputs,
   1460       inputs=tensor_inputs,
   1461       attrs=attrs,
   1462       ctx=self,
   1463   )
   1464 else:
   1465   outputs = execute.execute_with_cancellation(
   1466       name.decode("utf-8"),
   1467       num_outputs=num_outputs,
   (...)
   1471       cancellation_manager=cancellation_context,
   1472   )

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/execute.py:53, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     51 try:
     52   ctx.ensure_initialized()
---> 53   tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     54                                       inputs, attrs, num_outputs)
     55 except core._NotOkStatusException as e:
     56   if name is not None:

InvalidArgumentError: Graph execution error:

Input to reshape is a tensor with 1204224 values, but the requested shape has 4816896
	 [[{{node StatefulPartitionedCall/swin_transformer3d_1/BasicLayer1_1/swin_transformer_block3d_1/Reshape}}]]
	 [[TRTEngineOp_000_002]] [Op:__inference_pruned_36162]