Rebase master onto libp2p (#179)

* copytree implementation for py37 compatibility (#162)

* copytree implementation for py37 compatibility

* Running tests for python3.7

* Increment version

* Python3.7 notions

* Remove pickle.loads in averager (#160)

* Security update: remove pickle.loads in averager
* add py37 to circleci config

Co-authored-by: Alexander Borzunov <borzunov.alexander@gmail.com>
Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>

* Support edge cases for DHT key/subkey/value, add tests, update .gitignore for pb2 (#167)

* fix bug with subkey equals zero
* add autogenerated protobuf files to .gitignore
* test store and get "tricky" values in dht

* Fix the remaining tests for py37 (#166)

* DecentralizedAverager is now compatible with python37's acyncio exception
    * the problem was: grpc.aio with python37 raised concurrent.futures.CancelledError in some cases;
    * we relied on isinstance(asyncio.CancelledError, Exception) == False
    * but isinstance(concurrent.futures.CancelledError, Exception) == True
*  DecentralizedAverager now shuts down if dereferenced in the main process
    * though it won't shutdown if dereferenced in forks for obvious reasons
* HIVEMIND_THREADS now actually works
* test_averaging now shuts down dht and averager instances to avoid leaking processes

Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>
Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>

* Move Averager metadata serialization out of user scope (#168)

* move metadata serialization outside user scope
* test_overcrowded: reduce the default number of peers

* Handle edge cases in DecentralizedAverager (#171)

* move metadata serialization outside user scope
* retry averager.step on network errors
* raise AllreduceException on partial tensor
* test split/combine tensors, combine corrupted stream

Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>

* Fix a typo in quickstart.md (#174)

* Serialize DHTID source with msgpack (#172)

* Change DHTID serializer

* Remove unused serializers

* Add msgpack tuple serialization

* Move CLI server launch script to hivemind/hivemind_cli (#173)

* Cast environment variables to correct types

* Compiling libp2p daemon on setup (#153)

* add setup.py prototype

* refactor

* feat: add p2p daemon (#164)

* Add p2p daemon

* Test p2p daemon exits correctly

* Impose restriction on elapsed time

Co-authored-by: Ilya Kobelev <ilya.kobellev@gmail.com>

* compare golang versions using packaging.version

* fix typo

Co-authored-by: justheuristic <justheuristic@gmail.com>

* move p2pd executable to hivemind/hivemind_cli

Co-authored-by: Alexey Bukhtiyarov <a.bukhtiyarov@yandex.ru>
Co-authored-by: justheuristic <justheuristic@gmail.com>
Co-authored-by: Alexander Borzunov <borzunov.alexander@gmail.com>
Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>
Co-authored-by: Michael Diskin <yhn112@users.noreply.github.com>
Co-authored-by: romakail <36082689+romakail@users.noreply.github.com>
Co-authored-by: Ilya <37004806+skobellev@users.noreply.github.com>
Co-authored-by: Ilya Kobelev <ilya.kobellev@gmail.com>

hivemind/client/averaging/matchmaking.py

@@ -462,5 +462,13 @@ class PotentialLeaders:
                                                        looking_for_group=False)
 
 
+def compute_schema_hash(tensors: Sequence[torch.Tensor]) -> bytes:
+    """ A hash that describes follower's tensor shapes, dtypes, devices, but not the actual values """
+    schema_dicts = [{field_name: str(field_value)
+                     for field_name, field_value in asdict(TensorDescriptor.from_tensor(tensor)).items()}
+                    for tensor in tensors]
+    return DHTID.generate(source=schema_dicts).to_bytes()
+
+
 class MatchmakingException(Exception):
     """ An internal exception that marks undesired edge cases during averaging """