yangxue0827/R2CNN_FPN_Tensorflow

Strange questions, have anyone come across ?

Open

#38 opened on May 26, 2018

View on GitHub
 (0 comments) (0 reactions) (0 assignees)Python (139 forks)github user discovery
help wanted

Repository metrics

Stars
 (420 stars)
PR merge metrics
 (PR metrics pending)

Description

Traceback (most recent call last): File "C:\Program Files\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py", line 1139, in _do_call return fn(*args) File "C:\Program Files\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py", line 1121, in _run_fn status, run_metadata) File "C:\Program Files\Anaconda2\envs\tensorflow\lib\contextlib.py", line 66, in exit next(self.gen) File "C:\Program Files\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status pywrap_tensorflow.TF_GetCode(status)) tensorflow.python.framework.errors_impl.UnknownError: OverflowError: Python int too large to convert to C long [[Node: fast_rcnn_loss/PyFunc_1 = PyFunc[Tin=[DT_FLOAT, DT_FLOAT, DT_INT32], Tout=[DT_UINT8], token="pyfunc_7", _device="/job:localhost/replica:0/task:0/cpu:0"](fast_rcnn_loss/Squeeze_1, fast_rcnn_loss/mul_1, fast_rcnn_loss/strided_slice_1)]]

Contributor guide

Research direction
Locate the custom Python function used in PyFunc within the fast rcnn loss node. The overflow occurs because a Python integer exceeds the maximum value for a C long. Check the values being passed to the PyFunc and ensure they are within the range of a C long (typically 32 bit). Consider using tf.cast or modifying the function to handle large integers.
Tech stack
pythontensorflow
Domain
backendmachine learning
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonTensorFlow
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60