model.fit() got error "TypeError: add_weight() got multiple values for argument 'name'"

[pnovenaa]

I'm using anago 1.0.8 on jupyter notebook
got this error

`---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
in
----> 1 model.fit(x_train, y_train, epochs=15)

/home/xxx/.conda/envs/xxx/lib/python3.7/site-packages/anago/wrapper.py in fit(self, x_train, y_train, x_valid, y_valid, epochs, batch_size, verbose, callbacks, shuffle)
78 use_char=self.use_char,
79 use_crf=self.use_crf)
---> 80 model, loss = model.build()
81 model.compile(loss=loss, optimizer=self.optimizer)
82

/home/xxx/.conda/envs/xxx/lib/python3.7/site-packages/anago/models.py in build(self)
113 crf = CRF(self._num_labels, sparse_target=False)
114 loss = crf.loss_function
--> 115 pred = crf(z)
116 else:
117 loss = 'categorical_crossentropy'

/home/xxx/.conda/envs/xxx/lib/python3.7/site-packages/keras/engine/base_layer.py in call(self, inputs, **kwargs)
461 'You can build it manually via: '
462 'layer.build(batch_input_shape)')
--> 463 self.build(unpack_singleton(input_shapes))
464 self.built = True
465

/home/xxx/.conda/envs/xxx/lib/python3.7/site-packages/anago/layers.py in build(self, input_shape)
180 initializer=self.kernel_initializer,
181 regularizer=self.kernel_regularizer,
--> 182 constraint=self.kernel_constraint)
183 self.chain_kernel = self.add_weight((self.units, self.units),
184 name='chain_kernel',

TypeError: add_weight() got multiple values for argument 'name'
`

[G-bgyl]

Met the same problem.

Update--
Able to detect the issue.
It is because the use of new version of Keras. The requirements for anago is keras 2.2.0.

Solution--
Try to create a new virtual environment and install the Anago requirements.txt .

And btw, Torch is not compatible with windows, so if you are on a windows system, try to forget about the last required package allennlp, which needs torch as dependency. (Delete it from the requirements.txt is what I did).