tensorflow: WARNING:tensorflow:Entity at 0x000002343DCF24C8> could not be transformed and will be executed as-is.
What can be done to solve this warning?
Warning message
Below is the full warning:
WARNING:tensorflow:Entity <function <lambda> at 0x000002343DCF24C8> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,
export AUTOGRAPH_VERBOSITY=10
) and attach the full output. Cause: module ‘gast’ has no attribute ‘Str’ WARNING: Entity <function <lambda> at 0x000002343DCF24C8> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10
) and attach the full output. Cause: module ‘gast’ has no attribute ‘Str’
Minimum working example
The code that generated the warning was discussed in #38471 and stored in this gist.
import tensorflow as tf
def compute_length(x):
return tf.strings.length(x)
def check_substring(x, substring):
return tf.strings.regex_full_match(x,substring)
def compute_palindrome(x):
extra_split = tf.strings.bytes_split(x)
reverse = tf.reverse(extra_split,[0])
reversedStr = tf.strings.reduce_join([reverse])
return reversedStr
ds = tf.data.Dataset.from_tensor_slices(["Ottawa", "Stockholm", "Rabat"])
ds = ds.map(
lambda city: (city,
compute_length(city),
check_substring(city, ".*lm.*"),
compute_palindrome(city),
),
)
num_elems = len(ds.element_spec)
for elem in ds:
print(''.join([f"{elem[i]}" for i in range(num_elems)]))
Environment
- python 3.7.4
- tensorflow-gpu 2.0.0
- tensorflow-datasets 1.3.0
- gast 0.2.2
Running on Windows 10 under conda 4.8.3.
About this issue
- Original URL
- State: closed
- Created 4 years ago
- Comments: 15 (2 by maintainers)
Hi @ssnirgudkar, it appears that the error message indicates an environment related incompatibility. The root cause it indicated by this piece in the message: “Original error: could not get source code”. This section in the docs has a few details why.
Given that the lambda function is simple, you could try to wrap it into a
tf.autograph.experimental.do_not_convert
, but it is likely to see that error for all the other functions that might be involved. That type of error will also happen if you upgrade to a newer version of TF, so I think it’s worth looking at the environment instead.Are you getting this error when trying to run the code in an interactive Python or IPython shell? I know those to be incompatible. Running the code as a Python file, or using something like Jupyter should work though.
@laghaout Can you please test with
tf-nightly
orTF2.2.0rc3
and let us know whether the error persists with latest versions also. Thanks!