I got the following erro: The first argument to Layer.call must always be passed.
What wrong with my parameters?
ValueError Traceback (most recent call last)
in
1 # UNIT TEST
----> 2 EncoderLayer_test(EncoderLayer)
~/work/W4A1/public_tests.py in EncoderLayer_test(target)
84 encoder_layer1 = target(4, 2, 8)
85 tf.random.set_seed(10)
—> 86 encoded = encoder_layer1(q, True, np.array([[1, 0, 1]]))
87
88 assert tf.is_tensor(encoded), “Wrong type. Output must be a tensor”
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py in call(self, *args, **kwargs)
1010 with autocast_variable.enable_auto_cast_variables(
1011 self._compute_dtype_object):
→ 1012 outputs = call_fn(inputs, *args, **kwargs)
1013
1014 if self._activity_regularizer:
in call(self, x, training, mask)
41 attn_output = self.mha(batch_size=x.shape[0],
42 input_seq_len=x.shape[1],
—> 43 fully_connected_dim=x.shape[2]) # Self attention (batch_size, input_seq_len, fully_connected_dim)
44
45 # apply layer normalization on sum of the input and the attention output to get the
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py in call(self, *args, **kwargs)
940 # not to any other argument.
941 # - setting the SavedModel saving spec.
→ 942 inputs, args, kwargs = self._split_out_first_arg(args, kwargs)
943 input_list = nest.flatten(inputs)
944
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py in _split_out_first_arg(self, args, kwargs)
3046 else:
3047 raise ValueError(
→ 3048 ‘The first argument to Layer.call must always be passed.’)
3049 return inputs, args, kwargs
3050
ValueError: The first argument to Layer.call must always be passed.