Hi, I am getting the below error. Can you pls help.
ValueError Traceback (most recent call last)
in
22
23
—> 24 Emojify_V2_test(Emojify_V2)
in Emojify_V2_test(target)
16
17 maxLen = 4
—> 18 model = target((maxLen,), word_to_vec_map, word_to_index)
19
20 expectedModel = [[‘InputLayer’, [(None, 4)], 0], [‘Embedding’, (None, 4, 2), 30], [‘LSTM’, (None, 4, 128), 67072, (None, 4, 2), ‘tanh’, True], [‘Dropout’, (None, 4, 128), 0, 0.5], [‘LSTM’, (None, 128), 131584, (None, 4, 128), ‘tanh’, False], [‘Dropout’, (None, 128), 0, 0.5], [‘Dense’, (None, 5), 645, ‘linear’], [‘Activation’, (None, 5), 0]]
in Emojify_V2(input_shape, word_to_vec_map, word_to_index)
32 # Propagate the embeddings through an LSTM layer with 128-dimensional hidden state
33 # The returned output should be a batch of sequences.
—> 34 X = LSTM(units=128, return_sequences=True)(embeddings)
35 # Add dropout with a probability of 0.5
36 X = Dropout(rate=0.5)(X)
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/recurrent.py in call(self, inputs, initial_state, constants, **kwargs)
661
662 if initial_state is None and constants is None:
→ 663 return super(RNN, self).call(inputs, **kwargs)
664
665 # If any of initial_state or constants are specified and are Keras
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py in call(self, *args, **kwargs)
980 with ops.name_scope_v2(name_scope):
981 if not self.built:
→ 982 self._maybe_build(inputs)
983
984 with ops.enable_auto_cast_variables(self._compute_dtype_object):
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py in _maybe_build(self, inputs)
2616 if not self.built:
2617 input_spec.assert_input_compatibility(
→ 2618 self.input_spec, inputs, self.name)
2619 input_list = nest.flatten(inputs)
2620 if input_list and self._dtype_policy.compute_dtype is None:
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/input_spec.py in assert_input_compatibility(input_spec, inputs, layer_name)
178 ‘expected ndim=’ + str(spec.ndim) + ‘, found ndim=’ +
179 str(ndim) + '. Full shape received: ’ +
→ 180 str(x.shape.as_list()))
181 if spec.max_ndim is not None:
182 ndim = x.shape.ndims
ValueError: Input 0 of layer lstm is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: [4, 2]