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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$
The text was updated successfully, but these errors were encountered:
mldl@ub1604:
/ub16_prj/mem_absa$ python2 main.py --show True/ub16_prj/mem_absa$/usr/local/lib/python2.7/dist-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from
float
tonp.floating
is deprecated. In future, it will be treated asnp.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:
The text was updated successfully, but these errors were encountered: