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# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import weakref
import torch
import ttnn
from models.common.llm_runtime.output_reader import OutputReader, PendingRead
class FakeDeviceTensor:
def __init__(self, name: str):
self.name = name
self.cpu_calls = []
self.host_value = object()
def cpu(self, *, blocking: bool):
self.cpu_calls.append(blocking)
return self.host_value
class FailingDeviceTensor:
def __init__(self):
self.cpu_calls = []
def cpu(self, *, blocking: bool):
self.cpu_calls.append(blocking)
raise RuntimeError("copy failed")
def _install_events(monkeypatch):
events = []
synchronized = []
def record_event(device, queue_id):
event = object()
events.append((device, queue_id, event))
return event
monkeypatch.setattr(ttnn, "record_event", record_event)
monkeypatch.setattr(ttnn, "event_synchronize", synchronized.append)
return events, synchronized
def test_blocking_read_returns_nested_host_payload_without_retention(monkeypatch):
events, synchronized = _install_events(monkeypatch)
reader = OutputReader("mesh")
output = FakeDeviceTensor("output")
log_probs = FakeDeviceTensor("log_probs")
host = reader.read((output, log_probs), blocking=True)
assert host == (output.host_value, log_probs.host_value)
assert output.cpu_calls == [True]
assert log_probs.cpu_calls == [True]
assert events == []
assert synchronized == []
def test_synchronized_read_submits_every_copy_then_synchronizes_device_once(monkeypatch):
synchronized = []
monkeypatch.setattr(ttnn, "synchronize_device", synchronized.append)
reader = OutputReader("mesh")
output = FakeDeviceTensor("output")
log_probs = FakeDeviceTensor("log_probs")
host = reader.read_synchronized((output, log_probs))
assert host == (output.host_value, log_probs.host_value)
assert output.cpu_calls == [False]
assert log_probs.cpu_calls == [False]
assert synchronized == ["mesh"]
def test_async_read_retains_destination_and_event_until_completion(monkeypatch):
events, synchronized = _install_events(monkeypatch)
reader = OutputReader("mesh")
output = FakeDeviceTensor("output")
pending = reader.submit(output)
assert isinstance(pending, PendingRead)
assert pending.value is output.host_value
assert pending.events == (events[0][2],)
assert events[0][:2] == ("mesh", 0)
assert output.cpu_calls == [False]
assert reader.complete(pending) is output.host_value
assert synchronized == [events[0][2]]
assert reader.complete(pending) is output.host_value
assert synchronized == [events[0][2]]
def test_async_read_can_be_completed_by_exact_unwrapped_value(monkeypatch):
events, synchronized = _install_events(monkeypatch)
reader = OutputReader("mesh")
output = FakeDeviceTensor("output")
pending = reader.submit(output)
assert reader.complete(pending.value) is pending.value
assert synchronized == [events[0][2]]
def test_reader_rejects_another_readers_pending_handle(monkeypatch, expect_error):
_install_events(monkeypatch)
first_reader = OutputReader("first_mesh")
second_reader = OutputReader("second_mesh")
foreign_pending = first_reader.submit(FakeDeviceTensor("first"))
second_reader.submit(FakeDeviceTensor("second"))
with expect_error(ValueError, "not owned"):
second_reader.complete(foreign_pending)
first_reader.drain()
second_reader.drain()
def test_reader_rejects_another_readers_completed_pending_handle(monkeypatch, expect_error):
_install_events(monkeypatch)
first_reader = OutputReader("first_mesh")
second_reader = OutputReader("second_mesh")
foreign_pending = first_reader.submit(torch.tensor([1]))
with expect_error(ValueError, "not owned"):
second_reader.complete(foreign_pending)
def test_drain_completes_every_pending_read_and_is_idempotent(monkeypatch, expect_error):
events, synchronized = _install_events(monkeypatch)
reader = OutputReader("mesh")
first = reader.submit(FakeDeviceTensor("first"))
second = reader.submit(FakeDeviceTensor("second"))
reader.drain()
assert synchronized == [events[0][2], events[1][2]]
assert reader.complete(first) is first.value
assert reader.complete(second) is second.value
reader.drain()
assert synchronized == [events[0][2], events[1][2]]
def test_async_host_only_payload_is_already_complete(monkeypatch):
events, synchronized = _install_events(monkeypatch)
reader = OutputReader("mesh")
host_tensor = torch.tensor([1, 2])
pending = reader.submit((host_tensor, None))
assert torch.equal(pending.value[0], host_tensor)
assert pending.value[1] is None
assert pending.events == ()
assert reader.complete(pending) is pending.value
assert events == []
assert synchronized == []
def test_nested_dict_and_list_preserve_shape(monkeypatch):
_install_events(monkeypatch)
reader = OutputReader("mesh")
output = FakeDeviceTensor("output")
log_probs = FakeDeviceTensor("log_probs")
pending = reader.submit({"outputs": [output], "log_probs": log_probs})
assert pending.value == {"outputs": [output.host_value], "log_probs": log_probs.host_value}
reader.complete(pending)
def test_record_event_failure_synchronizes_device(monkeypatch):
device_synchronizations = []
# record_event is an external nanobind API with optional backend arguments.
def fail_record_event(*_args, **_kwargs):
raise RuntimeError("record failed")
monkeypatch.setattr(ttnn, "record_event", fail_record_event)
monkeypatch.setattr(ttnn, "synchronize_device", device_synchronizations.append)
reader = OutputReader("mesh")
try:
reader.submit(FakeDeviceTensor("output"))
except RuntimeError as error:
assert str(error) == "record failed"
else:
raise AssertionError("record_event failure was not propagated")
assert device_synchronizations == ["mesh"]
def test_partial_nested_async_copy_failure_synchronizes_while_destinations_are_retained(monkeypatch, expect_error):
destination_refs = []
device_synchronizations = []
class HostDestination:
pass
class EphemeralDeviceTensor:
def cpu(self, *, blocking: bool):
destination = HostDestination()
destination_refs.append(weakref.ref(destination))
return destination
def synchronize_device(mesh_device):
assert destination_refs[0]() is not None
device_synchronizations.append(mesh_device)
monkeypatch.setattr(ttnn, "synchronize_device", synchronize_device)
reader = OutputReader("mesh")
failing = FailingDeviceTensor()
with expect_error(RuntimeError, "copy failed"):
reader.submit((EphemeralDeviceTensor(), failing))
assert failing.cpu_calls == [False]
assert device_synchronizations == ["mesh"]
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