Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

TypeError: Expected int32, got list containing Tensors of type '_Message' instead. on tf1.4 #18

Open
SeekPoint opened this issue Sep 25, 2018 · 0 comments

Comments

@SeekPoint
Copy link

mldl@ub1604:/ub16_prj/mem_absa$ python2 main.py --show True
/usr/local/lib/python2.7/dist-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
Read 2358 aspects from data/Laptop_Train_v2.xml
Read 654 aspects from data/Laptops_Test_Gold.xml
{'batch_size': 128,
'edim': 300,
'init_hid': 0.1,
'init_lr': 0.01,
'init_std': 0.05,
'lindim': 75,
'max_grad_norm': 50,
'mem_size': 78,
'nepoch': 100,
'nhop': 7,
'nwords': 7144,
'pad_idx': 0,
'pretrain_file': 'data/glove.6B.300d.txt',
'show': True,
'test_data': 'data/Laptops_Test_Gold.xml',
'train_data': 'data/Laptop_Train_v2.xml'}
loading pre-trained word vectors...
2018-09-25 12:09:09.418188: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-09-25 12:09:09.475310: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-09-25 12:09:09.475614: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 950M major: 5 minor: 0 memoryClockRate(GHz): 1.124
pciBusID: 0000:01:00.0
totalMemory: 3.95GiB freeMemory: 3.67GiB
2018-09-25 12:09:09.475635: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 950M, pci bus id: 0000:01:00.0, compute capability: 5.0)
Traceback (most recent call last):
File "main.py", line 61, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 57, in main
model.build_model()
File "/home/mldl/ub16_prj/mem_absa/model.py", line 107, in build_model
self.build_memory()
File "/home/mldl/ub16_prj/mem_absa/model.py", line 79, in build_memory
a_til_concat = tf.concat(2, [til_hid3dim, Ain])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1096, in concat
dtype=dtypes.int32).get_shape().assert_is_compatible_with(
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 836, in convert_to_tensor
as_ref=False)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 926, 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 229, 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 208, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 383, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 303, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.
mldl@ub1604:
/ub16_prj/mem_absa$

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant