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neuron-tai/tests/test_architecture_boundary.py
2026-07-14 13:52:44 +03:00

122 lines
4.3 KiB
Python

"""DGR-006 architecture-defined activation-boundary contract."""
from __future__ import annotations
import struct
import pytest
from meshnet_node.architecture_boundary import (
Architecture,
BoundaryStage,
ProtocolIdentity,
SamplingParameters,
TailOutput,
adapter_for,
)
from meshnet_node.native_protocol import ProtocolError, decode_bundle
def _f32(values: list[float]) -> bytes:
return struct.pack("<" + "f" * len(values), *values)
def _values(payload: bytes) -> tuple[float, ...]:
return struct.unpack("<" + "f" * (len(payload) // 4), payload)
def test_dense_whole_model_and_two_ranges_match_for_prefill_and_greedy_decode() -> None:
adapter = adapter_for(Architecture.DENSE)
embeddings = {3: [1.0, 2.0], 7: [3.0, 4.0]}
head = adapter.bundle_from_token_ids([3, 7], lambda token: embeddings[token])
def head_layers(bundle):
return [value + 10.0 for value in _values(decode_bundle(bundle)["hidden_states"])]
def tail_layers(residual: list[float]) -> tuple[list[float], int]:
# The tail alone applies this fixture's final norm/head and greedy argmax.
logits = [sum(residual) / len(residual) + 20.0, 0.0]
return logits, max(range(len(logits)), key=logits.__getitem__)
# Whole-model prefill retains the unnormalized residual locally. The
# two-range lane sends that same residual before the tail-only head.
whole_prefill = head_layers(head)
seam = adapter.bundle_from_named_payloads(
{"hidden_states": _f32(whole_prefill)}, shape=[1, 2, 2]
)
two_range_prefill = list(_values(decode_bundle(adapter.input_for(BoundaryStage.TAIL, seam))["hidden_states"]))
assert two_range_prefill == whole_prefill
whole_logits, whole_token = tail_layers(whole_prefill)
two_logits, two_token = tail_layers(two_range_prefill)
assert two_logits == whole_logits
assert two_token == whole_token == 0
# One greedy decode step is the same contract with [batch, token, hidden].
decode_seam = adapter.bundle_from_named_payloads(
{"hidden_states": _f32([5.0, 6.0])}, shape=[1, 1, 2]
)
assert tail_layers([5.0, 6.0]) == tail_layers(
list(_values(decode_bundle(adapter.input_for(BoundaryStage.TAIL, decode_seam))["hidden_states"]))
)
def test_middle_and_tail_reject_token_ids_and_require_boundary_bundle() -> None:
adapter = adapter_for(Architecture.MOE)
with pytest.raises(ProtocolError, match="head"):
adapter.bundle_from_token_ids([1], lambda _: [1.0])
with pytest.raises(ProtocolError, match="TensorBundle"):
adapter.input_for(BoundaryStage.MIDDLE, None)
@pytest.mark.parametrize(
("architecture", "names"),
[
(Architecture.MOE, {"hidden_states", "router_logits"}),
(Architecture.MLA, {"hidden_states", "mla_position_state"}),
],
)
def test_architecture_adapters_route_and_validate_their_named_sidebands(
architecture: Architecture, names: set[str]
) -> None:
adapter = adapter_for(architecture)
bundle = adapter.bundle_from_named_payloads(
{
name: (_f32([1.0, 2.0]) if name == "hidden_states" else _f32([0.0]))
for name in names
}
)
assert set(decode_bundle(adapter.input_for(BoundaryStage.MIDDLE, bundle))) == names
with pytest.raises(ProtocolError, match="requires"):
adapter.bundle_from_named_payloads({"hidden_states": _f32([1.0, 2.0])})
def test_unknown_architecture_fails_closed() -> None:
with pytest.raises(ProtocolError, match="unsupported architecture"):
adapter_for("unchecked-name-substitution")
def test_typed_tail_result_binds_sampling_and_request_recipe_identity() -> None:
adapter = adapter_for(Architecture.DENSE)
identity = ProtocolIdentity(
request_id="request-1",
runtime_recipe_digest="sha256:recipe",
chat_template_id="llama3",
chat_template_version="2",
reasoning_mode="max",
architecture=Architecture.DENSE,
)
result = adapter.tail_result(
identity=identity,
sampling=SamplingParameters(temperature=0.0, top_p=1.0, top_k=0, seed=9),
output=TailOutput.sampled_token(42),
)
assert result.identity.request_id == "request-1"
assert result.sampled_token_id == 42
assert result.output_kind == "sampled_token_id"
assert result.message.WhichOneof("output") == "sampled_token_id"