Comments (3)
This seems like you have trainable variables without gradients. Can you
show your variables (print tf.all_variables) and probably gradients in
optimize_loss? Also you should try updating to 0.9 - there has been a lot
of issues addressed there.
On Sat, Jul 2, 2016 at 1:23 PM vinayakumarr [email protected]
wrote:
python neural_translation.py
Traceback (most recent call last):
File "neural_translation.py", line 121, in
translator.fit(x_iter, y_iter, logdir=PATH)
File
"/Library/Python/2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/base.py",
line 227, in fit
self._setup_training()
File
"/Library/Python/2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/base.py",
line 163, in _setup_training
optimizer=optimizer, clip_gradients=self.clip_gradients)
File
"/Library/Python/2.7/site-packages/tensorflow/contrib/layers/python/layers/optimizers.py",
line 141, in optimize_loss
logging_ops.histogram_summary(variable.name + "/gradients", grad_values)
File
"/Library/Python/2.7/site-packages/tensorflow/python/ops/logging_ops.py",
line 113, in histogram_summary
tag=tag, values=values, name=scope)
File
"/Library/Python/2.7/site-packages/tensorflow/python/ops/gen_logging_ops.py",
line 55, in _histogram_summary
name=name)
File
"/Library/Python/2.7/site-packages/tensorflow/python/ops/op_def_library.py",
line 415, in apply_op
as_ref=input_arg.is_ref).dtype.name
File
"/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py",
line 566, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File
"/Library/Python/2.7/site-packages/tensorflow/python/ops/constant_op.py",
line 179, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File
"/Library/Python/2.7/site-packages/tensorflow/python/ops/constant_op.py",
line 162, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))
File
"/Library/Python/2.7/site-packages/tensorflow/python/framework/tensor_util.py",
line 325, in make_tensor_proto
raise ValueError("None values not supported.")
ValueError: None values not supported.how to correct this
i am using tensorflow version 0.8 and in linux
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from skflow.
There has been a lot of bug fixes since 0.8. Please try latest version. Please submit an issue to TensorFlow repo in the future instead.
from skflow.
Possibly answered on StackOverflow here
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