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

[amirhosseinfa]

hi there
i got some error when run this command

python inference.py -m demo

error detail :

C:\Program Files\python\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from floattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters 2018-05-24 13:44:47.911946: I d:\build\tensorflow\tensorflow-r1.7\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 Traceback (most recent call last): File "inference.py", line 189, in <module> generate_output(input_files, mode) File "inference.py", line 125, in generate_output model = SSDModel() File "D:\my media\my_project\open-cv_traffic-sine\PythonApplication2\PythonApplication2\model.py", line 178, in SSDModel model = AlexNet() File "D:\my media\my_project\open-cv_traffic-sine\PythonApplication2\PythonApplication2\model.py", line 159, in AlexNet final_pred_conf = tf.concat(1, preds_conf) File "C:\Program Files\python\lib\site-packages\tensorflow\python\ops\array_ops.py", line 1178, in concat dtype=dtypes.int32).get_shape().assert_is_compatible_with( File "C:\Program Files\python\lib\site-packages\tensorflow\python\framework\ops.py", line 950, in convert_to_tensor as_ref=False) File "C:\Program Files\python\lib\site-packages\tensorflow\python\framework\ops.py", line 1040, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "C:\Program Files\python\lib\site-packages\tensorflow\python\framework\constant_op.py", line 235, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "C:\Program Files\python\lib\site-packages\tensorflow\python\framework\constant_op.py", line 214, in constant value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "C:\Program Files\python\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 433, in make_tensor_proto _AssertCompatible(values, dtype) File "C:\Program Files\python\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 344, in _AssertCompatible (dtype.name, repr(mismatch), type(mismatch).__name__)) TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

can anyone help me ?

[RichardMrLu]

You should change your tensorflow version to 0.12.1:
pip uninstall tensorflow
pip install tensorflow==0.12.1

[amirhosseinfa]

i cant find this version of tensorflow!!!

[Caiyujie007]

I used python3.5 and pip3 to install, it works.

[fried-muscle]

i have a similar problem in my computer, I use python 3.6 and TensorFlow 1.8.0, if it means i can only use version 0.12.1 to finish it?

[mangalbhaskar]

I too faced the same issue. I was running TF 1.9.0, Py 3.6 on Ubuntu 18.04 LTS. Following changes fixed it and was able to run the pre-trained model without any errors. Here's the git diff on model.py

@@ def ModelHelper(y_pred_conf, y_pred_loc):
        # Confidence loss
-       conf_loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits, y_true_conf) **# Replace this line**
+       conf_loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, labels=y_true_conf)
 
@@ def ModelHelper(y_pred_conf, y_pred_loc):
-       loc_loss = tf.select(smooth_l1_condition, loc_loss_l2, loc_loss_l1)  **# Replace this line**
+       loc_loss = tf.where(smooth_l1_condition, loc_loss_l2, loc_loss_l1)
 @@ def AlexNet():
        # Concatenate all preds together into 1 vector, for both classification and localization predictions
-       final_pred_conf = tf.concat(1, preds_conf) **# Replace this line**
-       final_pred_loc = tf.concat(1, preds_loc) **# Replace this line**
+       final_pred_conf = tf.concat(preds_conf,1)
+       final_pred_loc = tf.concat(preds_loc,1)

[lyycfairy]

thinks @mangalbhaskar
it works