Latest commit in deprecation.py breaks R TensorFlow client  #25067

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System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Fedora 28
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: NA
• TensorFlow installed from (source or binary): binary
• TensorFlow version (use command below): nightly (r1.13)
• Python version: 3.6
• Bazel version (if compiling from source): NA
• GCC/Compiler version (if compiling from source): NA
• CUDA/cuDNN version: NA
• GPU model and memory: NA

Hi,

the commit

b97727b#diff-fa5fb3b8d9f512ad269f7eb67903ec2b

breaks the R TensorFlow client which uses embedded Python from R (see rstudio/tfdatasets#17)

Specifically, the line

frame = stack[-4 if outer else -3]

triggers the error

Error in py_call_impl(callable, dots$args, dots$keywords) : 
  IndexError: list index out of range

Detailed traceback: 
  File "/home/key/anaconda3/envs/tf-master-1215/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 314, in new_func
    _call_location(), decorator_utils.get_qualified_name(func),
  File "/home/key/anaconda3/envs/tf-master-1215/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 103, in _call_location
    frame = stack[-4 if outer else -3]

on our side. For us, in one specific example, instead of a list with at least 4 items, stack contains a list of 2 tuples, each of which are of length 6.

Unfortunately, this will error and stop execution every time a new deprecation warning is issued.

Current workaround on our side is rstudio/tensorflow#287, however this comes at the cost of totally disabling deprecation warnings.

Is there anything you could do to make this change compatible?

Thanks,
Sigrid