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hao-ai-lab-FastVideo/v2/parallel/mesh.py
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SolitaryThinker a9e5f6ee7a [refactor] rename package mini_fastvideo → v2
Directory rename (git mv, history preserved) plus rewrite of all references: absolute imports in
tests, the zero-dep runner, docstrings, comments, and the README. No behavior change.

Run: python3 -m pytest v2/tests/ -q ; python3 v2/run_tests.py ; python3 -m v2.examples
2026-07-04 17:15:34 +00:00

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2.1 KiB
Python

"""FakeDeviceMesh — a ParallelDims-style builder, CPU-testable (design_v3 §8; torchtitan).
> Declarative, validated, compiled to a PyTorch ``DeviceMesh`` via a ``ParallelDims``-
> style builder (product-of-degrees validation, cached submeshes).
On a GPU box this compiles to ``torch.distributed.device_mesh.DeviceMesh``. Here it is a
pure-Python mesh of rank tuples so topology logic is unit-tested without GPUs.
Degree-one axes exist as trivial groups so component code needs no special cases.
"""
from __future__ import annotations
from itertools import product
from .plan import ParallelPlan
from .validation import validate_plan
class FakeDeviceMesh:
def __init__(self, plan: ParallelPlan):
self.plan = plan
self.order = plan.mesh_order or list(plan.axes.keys())
self.shape = tuple(plan.degree(a) for a in self.order)
self.world_size = plan.world_size()
def group_ranks(self, axis: str) -> list[list[int]]:
"""All collective groups along one axis (each is a list of global ranks)."""
if axis not in self.order:
return [[0]] # degree-one trivial group
axis_idx = self.order.index(axis)
groups: list[list[int]] = []
ranges = [range(d) for d in self.shape]
seen: set[tuple] = set()
for coord in product(*ranges):
key = coord[:axis_idx] + coord[axis_idx + 1:]
if key in seen:
continue
seen.add(key)
group = []
for i in range(self.shape[axis_idx]):
c = list(coord)
c[axis_idx] = i
group.append(self._coord_to_rank(tuple(c)))
groups.append(group)
return groups
def _coord_to_rank(self, coord: tuple[int, ...]) -> int:
rank = 0
for c, d in zip(coord, self.shape):
rank = rank * d + c
return rank
def __repr__(self) -> str:
return f"FakeDeviceMesh(order={self.order}, shape={self.shape}, world={self.world_size})"
def build_mesh(plan: ParallelPlan, card=None, **kw) -> FakeDeviceMesh:
validate_plan(plan, card=card, **kw)
return FakeDeviceMesh(plan)