Files
neuron-tai/tests/test_two_node_pipeline.py
2026-06-29 14:58:55 +03:00

116 lines
4.2 KiB
Python

"""Integration tests for two-node shard pipelines with activation tensors flowing A to B."""
import json
import urllib.request
from meshnet_node.server import StubNodeServer
from meshnet_gateway.server import GatewayServer
def test_two_node_activation_pipeline():
# Node A owns layers 0-15 (first shard, not last — returns activations).
node_a = StubNodeServer(shard_start=0, shard_end=15, is_last_shard=False)
port_a = node_a.start()
# Node B owns layers 16-31 (last shard — returns text after receiving activations).
node_b = StubNodeServer(shard_start=16, shard_end=31, is_last_shard=True)
port_b = node_b.start()
# Gateway hardcodes the two-node inference route for this story.
gateway = GatewayServer(
inference_route=[
f"http://127.0.0.1:{port_a}",
f"http://127.0.0.1:{port_b}",
]
)
gateway_port = gateway.start()
try:
payload = json.dumps({
"model": "stub-model",
"messages": [{"role": "user", "content": "hello"}],
}).encode()
req = urllib.request.Request(
f"http://127.0.0.1:{gateway_port}/v1/chat/completions",
data=payload,
headers={"Content-Type": "application/json"},
method="POST",
)
with urllib.request.urlopen(req) as resp:
assert resp.status == 200
body = json.loads(resp.read())
# Gateway must assemble a valid OpenAI-format response.
assert body["id"] == "chatcmpl-stub"
assert body["object"] == "chat.completion"
assert body["model"] == "stub-model"
assert len(body["choices"]) == 1
choice = body["choices"][0]
assert choice["message"]["role"] == "assistant"
assert choice["message"]["content"] == "stub response to: hello"
assert choice["finish_reason"] == "stop"
# Node B must have received an activation tensor from node A — this is
# the observable proof that the A → B activation hop occurred.
assert node_b.received_activations, "node B did not receive activation tensors from node A"
# Node A must NOT have received activations (it is the first shard).
assert not node_a.received_activations, "node A should not receive activations — it is first in the route"
finally:
gateway.stop()
node_a.stop()
node_b.stop()
def test_binary_activation_pipeline_chunks_512_token_prefill():
node_a = StubNodeServer(shard_start=0, shard_end=15, is_last_shard=False)
port_a = node_a.start()
node_b = StubNodeServer(shard_start=16, shard_end=31, is_last_shard=True)
port_b = node_b.start()
gateway = GatewayServer(
inference_route=[
f"http://127.0.0.1:{port_a}",
f"http://127.0.0.1:{port_b}",
]
)
gateway_port = gateway.start()
try:
prompt = " ".join(f"tok{i}" for i in range(512))
payload = json.dumps({
"model": "stub-model",
"messages": [{"role": "user", "content": prompt}],
}).encode()
req = urllib.request.Request(
f"http://127.0.0.1:{gateway_port}/v1/chat/completions",
data=payload,
headers={"Content-Type": "application/json"},
method="POST",
)
with urllib.request.urlopen(req) as resp:
assert resp.status == 200
body = json.loads(resp.read())
assert body["choices"][0]["message"]["content"] == f"stub response to: {prompt}"
assert node_a.forward_chunk_count == 4
assert node_b.forward_chunk_count == 4
assert not node_a.received_activations
assert node_b.received_activations
chunk_responses = gateway.last_binary_chunk_responses
assert len(chunk_responses) == 4
for index, chunk in enumerate(chunk_responses):
assert chunk.shape == [1, 128, 64]
assert chunk.dtype == "bfloat16"
assert chunk.chunk_index == index
assert chunk.chunk_total == 4
assert chunk.headers["x-meshnet-wire"] == "2"
assert len(chunk.body) == 1 * 128 * 64 * 2
finally:
gateway.stop()
node_a.stop()
node_b.stop()