mirror of
https://github.com/mudler/LocalAI.git
synced 2026-04-01 05:36:49 -04:00
a026277ab9
* feat(mlx-distributed): add new MLX-distributed backend Add new MLX distributed backend with support for both TCP and RDMA for model sharding. This implementation ties in the discovery implementation already in place, and re-uses the same P2P mechanism for the TCP MLX-distributed inferencing. The Auto-parallel implementation is inspired by Exo's ones (who have been added to acknowledgement for the great work!) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * expose a CLI to facilitate backend starting Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat: make manual rank0 configurable via model configs Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add missing features from mlx backend Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Apply suggestion from @mudler Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
import unittest
|
|
import subprocess
|
|
import time
|
|
|
|
import grpc
|
|
import backend_pb2
|
|
import backend_pb2_grpc
|
|
|
|
|
|
class TestBackendServicer(unittest.TestCase):
|
|
def setUp(self):
|
|
self.service = subprocess.Popen(
|
|
["python", "backend.py", "--addr", "localhost:50051"]
|
|
)
|
|
time.sleep(10)
|
|
|
|
def tearDown(self) -> None:
|
|
self.service.terminate()
|
|
self.service.wait()
|
|
|
|
def test_server_startup(self):
|
|
try:
|
|
self.setUp()
|
|
with grpc.insecure_channel("localhost:50051") as channel:
|
|
stub = backend_pb2_grpc.BackendStub(channel)
|
|
response = stub.Health(backend_pb2.HealthMessage())
|
|
self.assertEqual(response.message, b'OK')
|
|
except Exception as err:
|
|
print(err)
|
|
self.fail("Server failed to start")
|
|
finally:
|
|
self.tearDown()
|
|
|
|
def test_load_model(self):
|
|
try:
|
|
self.setUp()
|
|
with grpc.insecure_channel("localhost:50051") as channel:
|
|
stub = backend_pb2_grpc.BackendStub(channel)
|
|
response = stub.LoadModel(backend_pb2.ModelOptions(Model="mlx-community/Llama-3.2-1B-Instruct-4bit"))
|
|
self.assertTrue(response.success)
|
|
self.assertEqual(response.message, "Model loaded successfully")
|
|
except Exception as err:
|
|
print(err)
|
|
self.fail("LoadModel service failed")
|
|
finally:
|
|
self.tearDown()
|
|
|
|
def test_text(self):
|
|
try:
|
|
self.setUp()
|
|
with grpc.insecure_channel("localhost:50051") as channel:
|
|
stub = backend_pb2_grpc.BackendStub(channel)
|
|
response = stub.LoadModel(backend_pb2.ModelOptions(Model="mlx-community/Llama-3.2-1B-Instruct-4bit"))
|
|
self.assertTrue(response.success)
|
|
req = backend_pb2.PredictOptions(Prompt="The capital of France is")
|
|
resp = stub.Predict(req)
|
|
self.assertIsNotNone(resp.message)
|
|
except Exception as err:
|
|
print(err)
|
|
self.fail("text service failed")
|
|
finally:
|
|
self.tearDown()
|
|
|
|
def test_sampling_params(self):
|
|
try:
|
|
self.setUp()
|
|
with grpc.insecure_channel("localhost:50051") as channel:
|
|
stub = backend_pb2_grpc.BackendStub(channel)
|
|
response = stub.LoadModel(backend_pb2.ModelOptions(Model="mlx-community/Llama-3.2-1B-Instruct-4bit"))
|
|
self.assertTrue(response.success)
|
|
|
|
req = backend_pb2.PredictOptions(
|
|
Prompt="The capital of France is",
|
|
TopP=0.8,
|
|
Tokens=50,
|
|
Temperature=0.7,
|
|
TopK=40,
|
|
MinP=0.05,
|
|
Seed=42,
|
|
)
|
|
resp = stub.Predict(req)
|
|
self.assertIsNotNone(resp.message)
|
|
except Exception as err:
|
|
print(err)
|
|
self.fail("sampling params service failed")
|
|
finally:
|
|
self.tearDown()
|