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Using a moderately sized image can result in a crash in the kernel:
Exception in callback None()
handle: <Handle cancelled>
Traceback (most recent call last):
File "/usr/lib/python3.10/asyncio/events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "/home/jleibs/rerun/venv/lib/python3.10/site-packages/tornado/platform/asyncio.py", line 206, in _handle_events
handler_func(fileobj, events)
File "/home/jleibs/rerun/venv/lib/python3.10/site-packages/tornado/iostream.py", line 702, in _handle_events
self._handle_write()
File "/home/jleibs/rerun/venv/lib/python3.10/site-packages/tornado/iostream.py", line 976, in _handle_write
self._write_buffer.advance(num_bytes)
File "/home/jleibs/rerun/venv/lib/python3.10/site-packages/tornado/iostream.py", line 182, in advance
assert 0 < size <= self._size
AssertionError
However, this doesn't not happen deterministically. If you first log a smaller image. For example only an output sized 2.5MB, and then output the larger size afterwards, everything is fine. It seems like we're overflying something in tornado.
Additionally this is only an issue with notebook classic. Jupyter lab and VS code do not share the issue.
The text was updated successfully, but these errors were encountered:
Using a moderately sized image can result in a crash in the kernel:
However, this doesn't not happen deterministically. If you first log a smaller image. For example only an output sized 2.5MB, and then output the larger size afterwards, everything is fine. It seems like we're overflying something in tornado.
Additionally this is only an issue with notebook classic. Jupyter lab and VS code do not share the issue.
The text was updated successfully, but these errors were encountered: