59a0a3844c
PR Test AMD / cancel-on-close (push) Has been skipped
PR Test NVIDIA ARM / scan (push) Has been skipped
PR Test NVIDIA / cancel-on-close (push) Has been skipped
PR Test AMD / scan (push) Has been skipped
PR Test NVIDIA ARM / cancel-on-close (push) Has been skipped
PR Test NVIDIA / scan (push) Has been skipped
Release Docker Images / build (cu129-torch-2.11.0) (push) Has been skipped
Release Docker Images / build (cu130-torch-2.11.0) (push) Has been skipped
Release PyPI / publish (push) Has been skipped
Scheduler Python Test / test (push) Successful in 27m19s
Docs / build (push) Successful in 28m8s
Scheduler C++ Test / test (push) Successful in 28m19s
Scheduler C++ Test / test-flat (push) Successful in 28m18s
Docs / deploy (push) Has been cancelled
PR Test AMD / finish (push) Has been cancelled
PR Test NVIDIA / finish (push) Has been cancelled
PR Test NVIDIA ARM / finish (push) Has been cancelled
PR Test NVIDIA ARM / ${{ matrix.name }} (${{ matrix.runner }}) (push) Has been cancelled
PR Test AMD / ${{ matrix.name }} (${{ matrix.runner }}) (push) Has been cancelled
PR Test NVIDIA / ${{ matrix.name }} (${{ matrix.runner }}) (push) Has been cancelled
86 lines
3.3 KiB
Python
Executable File
86 lines
3.3 KiB
Python
Executable File
# Copyright (c) 2026 LightSeek Foundation
|
|
#
|
|
# Permission is hereby granted, free of charge, to any person obtaining a copy
|
|
# of this software and associated documentation files (the "Software"), to deal
|
|
# in the Software without restriction, including without limitation the rights
|
|
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
|
# copies of the Software, and to permit persons to whom the Software is
|
|
# furnished to do so, subject to the following conditions:
|
|
#
|
|
# The above copyright notice and this permission notice shall be included in
|
|
# all copies or substantial portions of the Software.
|
|
#
|
|
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|
# SOFTWARE.
|
|
|
|
from __future__ import annotations
|
|
|
|
from collections.abc import Iterable
|
|
|
|
from tokenspeed.runtime.utils import get_colorful_logger, get_device_module
|
|
|
|
logger = get_colorful_logger(__name__)
|
|
|
|
device_module = get_device_module()
|
|
|
|
|
|
class LayerLoadingEvent:
|
|
def __init__(self, num_layers: int):
|
|
self._num_layers = num_layers
|
|
self.load_events = [device_module.Event() for _ in range(num_layers)]
|
|
self.start_event = device_module.Event() # start event on controller stream
|
|
|
|
def complete(self, layer_index: int) -> None:
|
|
if not 0 <= layer_index < self._num_layers:
|
|
raise IndexError(f"layer_index out of range: {layer_index}")
|
|
self.load_events[layer_index].record()
|
|
|
|
def wait(self, layer_index: int) -> None:
|
|
device_module.current_stream().wait_event(self.load_events[layer_index])
|
|
|
|
@property
|
|
def finish_event(self):
|
|
return self.load_events[-1]
|
|
|
|
|
|
class LayerDoneCounter:
|
|
def __init__(self, num_layers: int):
|
|
self.num_layers = num_layers
|
|
# extra producer and consumer counters for overlap mode
|
|
self.num_counters = 3
|
|
self.events = [LayerLoadingEvent(num_layers) for _ in range(self.num_counters)]
|
|
self.producer_index = -1
|
|
self.consumer_indices: tuple[int, ...] = ()
|
|
|
|
def update_producer(self):
|
|
next_index = (self.producer_index + 1) % self.num_counters
|
|
if not self.events[next_index].finish_event.query():
|
|
self.events[next_index].finish_event.synchronize()
|
|
self.producer_index = next_index
|
|
return self.producer_index
|
|
|
|
def set_consumer(self, indices: int | Iterable[int]):
|
|
if isinstance(indices, int):
|
|
self.consumer_indices = () if indices < 0 else (indices,)
|
|
return
|
|
deduped = []
|
|
for index in indices:
|
|
if index >= 0 and index not in deduped:
|
|
deduped.append(index)
|
|
self.consumer_indices = tuple(deduped)
|
|
|
|
def wait_until(self, threshold: int):
|
|
if not self.consumer_indices:
|
|
return
|
|
for consumer_index in self.consumer_indices:
|
|
self.events[consumer_index].wait(threshold)
|
|
|
|
def reset(self):
|
|
self.producer_index = -1
|
|
self.consumer_indices = ()
|