Problem with GeometricSandwichProductDense Usage

[WY-2022]

When I try to use GeometricSandwichProductDense like this:

from tfga import GeometricAlgebra
from tfga.layers import TensorToGeometric, GeometricProductConv1D, GeometricToTensor, GeometricSandwichProductDense, GeometricProductDense
ga = GeometricAlgebra(metric=[1, 1, 1, 1])
idx = ga.get_kind_blade_indices("even")
model = InceptionV3(classifier_activation = None, weights = "imagenet", input_tensor=Input(shape=(224, 224, 3)))

x2 = Dropout(0.3)(model.layers[-2].output)
x2 = Reshape((-1, 8))(x2)
x2 = TensorToGeometric(ga, blade_indices=idx)(x2)
x2 = GeometricSandwichProductDense(
        ga, units=128, activation = "relu",
        blade_indices_kernel=idx,
        blade_indices_bias=idx)(x2)
x2 = GeometricSandwichProductDense(
        ga, units=64, activation = "relu",
        blade_indices_kernel=idx,
        blade_indices_bias=idx)(x2)
outputs2 = GeometricSandwichProductDense(
        ga, units=1, activation = "tanh",
        blade_indices_kernel=idx,
        blade_indices_bias=idx)(x2)
#x2 = GeometricToTensor(ga, blade_indices=idx)(x2)
#outputs2 = Flatten()(x2)

I receive the following error report:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[5], line 10
      8 x2 = Reshape((-1, 8))(x2)
      9 x2 = TensorToGeometric(ga, blade_indices=idx)(x2)
---> 10 x2 = GeometricSandwichProductDense(
     11         ga, units=128, activation = "relu",
     12         blade_indices_kernel=idx,
     13         blade_indices_bias=idx)(x2)
     14 x2 = GeometricSandwichProductDense(
     15         ga, units=64, activation = "relu",
     16         blade_indices_kernel=idx,
     17         blade_indices_bias=idx)(x2)
     18 outputs2 = GeometricSandwichProductDense(
     19         ga, units=1, activation = "tanh",
     20         blade_indices_kernel=idx,
     21         blade_indices_bias=idx)(x2)

File ~/miniconda3/envs/tf/lib/python3.11/site-packages/keras/src/utils/traceback_utils.py:122, in filter_traceback.<locals>.error_handler(*args, **kwargs)
    119     filtered_tb = _process_traceback_frames(e.__traceback__)
    120     # To get the full stack trace, call:
    121     # `keras.config.disable_traceback_filtering()`
--> 122     raise e.with_traceback(filtered_tb) from None
    123 finally:
    124     del filtered_tb

File ~/miniconda3/envs/tf/lib/python3.11/site-packages/tfga/layers.py:189, in GeometricProductDense.build(self, input_shape)
    183 self.num_input_units = input_shape[-2]
    184 shape_kernel = [
    185     self.units,
    186     self.num_input_units,
    187     self.blade_indices_kernel.shape[0],
    188 ]
--> 189 self.kernel = self.add_weight(
    190     "kernel",
    191     shape=shape_kernel,
    192     initializer=self.kernel_initializer,
    193     regularizer=self.kernel_regularizer,
    194     constraint=self.kernel_constraint,
    195     dtype=self.dtype,
    196     trainable=True,
    197 )
    198 if self.use_bias:
    199     shape_bias = [self.units, self.blade_indices_bias.shape[0]]

TypeError: Layer.add_weight() got multiple values for argument 'shape'

Is this issue caused by incorrect usage? Can I fix it simply by adjusting my code?