TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[MartinThoma]

I've just cloned the repo and executed cifar10_fast:

$ python cifar10_fast.py
Using TensorFlow backend.
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally
Traceback (most recent call last):
  File "cifar10_fast.py", line 29, in <module>
    dropout_rate=dropout_rate)
  File "/home/moose/GitHub/DenseNet/densenet_fast.py", line 129, in create_dense_net
    weight_decay=weight_decay)
  File "/home/moose/GitHub/DenseNet/densenet_fast.py", line 86, in dense_block
    x = merge(feature_list, mode='concat', concat_axis=concat_axis)
  File "/home/moose/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 1680, in merge
    name=name)
  File "/home/moose/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 1301, in __init__
    self.add_inbound_node(layers, node_indices, tensor_indices)
  File "/home/moose/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 635, in add_inbound_node
    Node.create_node(self, inbound_layers, node_indices, tensor_indices)
  File "/home/moose/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 172, in create_node
    output_tensors = to_list(outbound_layer.call(input_tensors, mask=input_masks))
  File "/home/moose/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 1394, in call
    return K.concatenate(inputs, axis=self.concat_axis)
  File "/home/moose/.local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 1427, in concatenate
    return tf.concat(axis, [to_dense(x) for x in tensors])
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1047, in concat
    dtype=dtypes.int32).get_shape(
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 651, in convert_to_tensor
    as_ref=False)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 716, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function
    return constant(v, dtype=dtype, name=name)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 165, in constant
    tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto
    _AssertCompatible(values, dtype)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible
    (dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

My System

• Keras 1.2.1
• Tensorflow 1.0.0

[MartinThoma]

See http://stackoverflow.com/questions/41813665/tensorflow-slim-typeerror-expected-int32-got-list-containing-tensors-of-type

[titu1994]

I'm waiting for Keras 2.0 to land to change the API.

This will fix the bug because it's coming from merge concat layer, and the merge implementation is being changed in 2.0. Also, note that fast DenseNet is NOT tested nor recommended for actual applications. I should add a note somewhere.

The correct implementation is DenseNet.py.

[MartinThoma]

I just had to update to Keras 1.2.2; that fixed the problem.

[titu1994]

Oh that's great. Thanks for the solution.