release: update manifest and helm charts for v0.0.1 #26
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Signed-off-by: Heba Elayoty <[email protected]>
Fei-Guo
added a commit
that referenced
this pull request
Nov 6, 2023
torch.init_process_group includes a default 30 minute timeout.
```
While the worker is listening for instructions, after thirty idle minutes an error gets thrown:
[1] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '0', but store->get('0') got error: Socket Timeout
Exception raised from recvBytes at /opt/pytorch/pytorch/torch/csrc/distributed/c10d/Utils.hpp:605 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0xae (0x7f3ff9fb295e in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) + 0x7d (0x7f3ff9f6b7cd in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10.so)
frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0xf8 (0x7f3fc834c858 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #3: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x3a (0x7f3fc834d4ca in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #4: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x84 (0x7f3fc834d594 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #5: c10d::PrefixStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x43 (0x7f3fc82fe063 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #6: c10d::PrefixStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x43 (0x7f3fc82fe063 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #7: c10d::PrefixStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x43 (0x7f3fc82fe063 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #8: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int) + 0x1fc (0x7f3f8c6e443c in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cuda.so)
frame #9: c10d::ProcessGroupNCCL::getNCCLComm(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<c10::Device, std::allocator<c10::Device> > const&, c10d::OpType, int, bool) + 0x530 (0x7f3f8c6e7c10 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cuda.so)
frame #10: c10d::ProcessGroupNCCL::broadcast(std::vector<at::Tensor, std::allocator<at::Tensor> >&, c10d::BroadcastOptions const&) + 0x4c2 (0x7f3f8c6f5922 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cuda.so)
frame #11: <unknown function> + 0x4c1a310 (0x7f3fc82eb310 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #12: <unknown function> + 0x4c23bfb (0x7f3fc82f4bfb in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #13: <unknown function> + 0x4c43ab3 (0x7f3fc8314ab3 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_cpu.so)
frame #14: <unknown function> + 0xb8c97a (0x7f3fceaa197a in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_python.so)
frame #15: <unknown function> + 0x39bb46 (0x7f3fce2b0b46 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_python.so)
frame #16: <unknown function> + 0x15cc9e (0x5572975c2c9e in /usr/bin/python)
frame #17: _PyObject_MakeTpCall + 0x25b (0x5572975b972b in /usr/bin/python)
frame #18: <unknown function> + 0x16b1eb (0x5572975d11eb in /usr/bin/python)
frame #19: _PyEval_EvalFrameDefault + 0x640a (0x5572975b175a in /usr/bin/python)
frame #20: _PyFunction_Vectorcall + 0x7c (0x5572975c34ec in /usr/bin/python)
frame #21: PyObject_Call + 0x122 (0x5572975d1bc2 in /usr/bin/python)
frame #22: _PyEval_EvalFrameDefault + 0x2a37 (0x5572975add87 in /usr/bin/python)
frame #23: _PyFunction_Vectorcall + 0x7c (0x5572975c34ec in /usr/bin/python)
frame #24: _PyEval_EvalFrameDefault + 0x1a1b (0x5572975acd6b in /usr/bin/python)
frame #25: _PyFunction_Vectorcall + 0x7c (0x5572975c34ec in /usr/bin/python)
frame #26: PyObject_Call + 0x122 (0x5572975d1bc2 in /usr/bin/python)
frame #27: _PyEval_EvalFrameDefault + 0x2a37 (0x5572975add87 in /usr/bin/python)
frame #28: _PyFunction_Vectorcall + 0x7c (0x5572975c34ec in /usr/bin/python)
frame #29: _PyEval_EvalFrameDefault + 0x1a1b (0x5572975acd6b in /usr/bin/python)
frame #30: _PyFunction_Vectorcall + 0x7c (0x5572975c34ec in /usr/bin/python)
frame #31: _PyEval_EvalFrameDefault + 0x6cd (0x5572975aba1d in /usr/bin/python)
frame #32: <unknown function> + 0x142176 (0x5572975a8176 in /usr/bin/python)
frame #33: PyEval_EvalCode + 0x86 (0x55729769dc56 in /usr/bin/python)
frame #34: <unknown function> + 0x264b18 (0x5572976cab18 in /usr/bin/python)
frame #35: <unknown function> + 0x25d96b (0x5572976c396b in /usr/bin/python)
frame #36: <unknown function> + 0x264865 (0x5572976ca865 in /usr/bin/python)
frame #37: _PyRun_SimpleFileObject + 0x1a8 (0x5572976c9d48 in /usr/bin/python)
frame #38: _PyRun_AnyFileObject + 0x43 (0x5572976c9a43 in /usr/bin/python)
frame #39: Py_RunMain + 0x2be (0x5572976bac3e in /usr/bin/python)
frame #40: Py_BytesMain + 0x2d (0x557297690bcd in /usr/bin/python)
frame #41: <unknown function> + 0x29d90 (0x7f4018b72d90 in /usr/lib/x86_64-linux-gnu/libc.so.6)
frame #42: __libc_start_main + 0x80 (0x7f4018b72e40 in /usr/lib/x86_64-linux-gnu/libc.so.6)
frame #43: _start + 0x25 (0x557297690ac5 in /usr/bin/python)
. This may indicate a possible application crash on rank 0 or a network set up issue.
```
After this error, any attempt by the worker to reconnect and establish a
new session with the master fails. Including pod restarts. Trying to
establish any new connection from worker is met with this error:
```
root@llama-2-13b-chat-pod-1:/workspace/llama/llama-2# torchrun --nnodes 2 --nproc_per_node 1 --rdzv_endpoint 10.224.0.181:29500 --master_port 29500 --rdzv_backend c10d inference-api.py
master_addr is only used for static rdzv_backend and when rdzv_endpoint is not specified.
Traceback (most recent call last):
File "/usr/local/bin/torchrun", line 33, in <module>
sys.exit(load_entry_point('torch==2.1.0a0+4136153', 'console_scripts', 'torchrun')())
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 346, in wrapper
return f(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/run.py", line 797, in main
run(args)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/run.py", line 788, in run
elastic_launch(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/launcher/api.py", line 134, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/launcher/api.py", line 255, in launch_agent
result = agent.run()
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/metrics/api.py", line 129, in wrapper
result = f(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/agent/server/api.py", line 736, in run
result = self._invoke_run(role)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/agent/server/api.py", line 871, in _invoke_run
self._initialize_workers(self._worker_group)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/metrics/api.py", line 129, in wrapper
result = f(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/agent/server/api.py", line 705, in _initialize_workers
self._rendezvous(worker_group)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/metrics/api.py", line 129, in wrapper
result = f(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/agent/server/api.py", line 546, in _rendezvous
store, group_rank, group_world_size = spec.rdzv_handler.next_rendezvous()
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1028, in next_rendezvous
self._op_executor.run(join_op, deadline)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 635, in run
raise RendezvousClosedError()
torch.distributed.elastic.rendezvous.api.RendezvousClosedError
```
Cleaning up the process group and reinitalizing on the worker side does
not resolve this issue either. The state between the worker and master
is inconsistent, requires a master restart.
The best solution here is increasing the timeout to prevent the
connection from being closed. I have included a dockerfile fix here.
---------
Co-authored-by: Fei Guo <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.