invalidargument

[akshadaas]

i got the following error. InvalidArgumentError Traceback (most recent call last) ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs) 1658 try: -> 1659 c_op = c_api.TF_FinishOperation(op_desc) 1660 except errors.InvalidArgumentError as e:

InvalidArgumentError: Dimensions must be equal, but are 16 and 752 for 'decoder_1/dense_4/MatMul' (op: 'MatMul') with input shapes: [?,16], [752,512].

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)

in 57 class_mode='categorical', shuffle=True) 58 ---> 59 train_model, eval_model, manipulate_model = CapsNet(input_shape=(28, 28, 3), n_class=47, routings=3) 60 # compile the model 61 in CapsNet(input_shape, n_class, routings) 27 decoder.add(layers.Dense(np.prod(input_shape), activation='sigmoid')) 28 decoder.add(layers.Reshape(target_shape=input_shape, name='out_recon')) ---> 29 print(decoder(masked_by_y)) 30 31 # Models for training and evaluation (prediction) ~/anaconda3/lib/python3.7/site-packages/keras/engine/topology.py in __call__(self, inputs, **kwargs) 601 602 # Actually call the layer, collecting output(s), mask(s), and shape(s). --> 603 output = self.call(inputs, **kwargs) 604 output_mask = self.compute_mask(inputs, previous_mask) 605 ~/anaconda3/lib/python3.7/site-packages/keras/models.py in call(self, inputs, mask) 544 if not self.built: 545 self.build() --> 546 return self.model.call(inputs, mask) 547 548 def build(self, input_shape=None): ~/anaconda3/lib/python3.7/site-packages/keras/engine/topology.py in call(self, inputs, mask) 2059 return self._output_tensor_cache[cache_key] 2060 else: -> 2061 output_tensors, _, _ = self.run_internal_graph(inputs, masks) 2062 return output_tensors 2063 ~/anaconda3/lib/python3.7/site-packages/keras/engine/topology.py in run_internal_graph(self, inputs, masks) 2210 if 'mask' not in kwargs: 2211 kwargs['mask'] = computed_mask -> 2212 output_tensors = _to_list(layer.call(computed_tensor, **kwargs)) 2213 output_masks = _to_list(layer.compute_mask(computed_tensor, 2214 computed_mask)) ~/anaconda3/lib/python3.7/site-packages/keras/layers/core.py in call(self, inputs) 841 842 def call(self, inputs): --> 843 output = K.dot(inputs, self.kernel) 844 if self.use_bias: 845 output = K.bias_add(output, self.bias) ~/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py in dot(x, y) 1050 out = tf.sparse_tensor_dense_matmul(x, y) 1051 else: -> 1052 out = tf.matmul(x, y) 1053 return out 1054 ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py in matmul(a, b, transpose_a, transpose_b, adjoint_a, adjoint_b, a_is_sparse, b_is_sparse, name) 2453 else: 2454 return gen_math_ops.mat_mul( -> 2455 a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) 2456 2457 ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/gen_math_ops.py in mat_mul(a, b, transpose_a, transpose_b, name) 5331 _, _, _op = _op_def_lib._apply_op_helper( 5332 "MatMul", a=a, b=b, transpose_a=transpose_a, transpose_b=transpose_b, -> 5333 name=name) 5334 _result = _op.outputs[:] 5335 _inputs_flat = _op.inputs ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords) 786 op = g.create_op(op_type_name, inputs, output_types, name=scope, 787 input_types=input_types, attrs=attr_protos, --> 788 op_def=op_def) 789 return output_structure, op_def.is_stateful, op 790 ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py in new_func(*args, **kwargs) 505 'in a future version' if date is None else ('after %s' % date), 506 instructions) --> 507 return func(*args, **kwargs) 508 509 doc = _add_deprecated_arg_notice_to_docstring( ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in create_op(***failed resolving arguments***) 3298 input_types=input_types, 3299 original_op=self._default_original_op, -> 3300 op_def=op_def) 3301 self._create_op_helper(ret, compute_device=compute_device) 3302 return ret ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in __init__(self, node_def, g, inputs, output_types, control_inputs, input_types, original_op, op_def) 1821 op_def, inputs, node_def.attr) 1822 self._c_op = _create_c_op(self._graph, node_def, grouped_inputs, -> 1823 control_input_ops) 1824 1825 # Initialize self._outputs. ~/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs) 1660 except errors.InvalidArgumentError as e: 1661 # Convert to ValueError for backwards compatibility. -> 1662 raise ValueError(str(e)) 1663 1664 return c_op ValueError: Dimensions must be equal, but are 16 and 752 for 'decoder_1/dense_4/MatMul' (op: 'MatMul') with input shapes: [?,16], [752,512]. @XifengGuo can you please look into it?

[akshadaas]

what is the tensorflow version?

[XifengGuo]

@akshadaas Please use the versions of keras and tensorflow specified in README.md Also, you can try this branch for Tensorflow 2.2