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# Owner(s): ["oncall: distributed"]
import torch
import torch.distributed as dist
import torch.distributed._functional_collectives as funcol
import torch.nn as nn
from torch.distributed._tensor import DeviceMesh, DTensor
from torch.distributed._tensor.placement_types import Shard
from torch.distributed.tensor.debug import CommDebugMode
from torch.testing._internal.common_distributed import requires_nccl
from torch.testing._internal.common_utils import run_tests, TestCase
from torch.testing._internal.distributed._tensor.common_dtensor import MLPModule
from torch.testing._internal.distributed.fake_pg import FakeStore
c10d_functional = torch.ops.c10d_functional
c10d_ops = torch.ops.c10d
class TestCommMode(TestCase):
def tearDown(self):
super().tearDown()
dist.destroy_process_group()
def setUp(self):
super().setUp()
self.world_size = 2
store = FakeStore()
dist.init_process_group(
backend="fake", rank=1, world_size=self.world_size, store=store
)
self.device_type = "cuda" if torch.cuda.is_available() else "cpu"
self.world_pg = dist.distributed_c10d._get_default_group()
def checksAssert(self, comm_mode, key, expected_value, expected_total_value):
comm_counts = comm_mode.get_comm_counts()
self.assertEqual(comm_mode.get_total_counts(), expected_total_value)
self.assertEqual(comm_counts[key], expected_value)
return
def test_comm_mode(self):
world_pg = self.world_pg
class WrapperModel(nn.Module):
def __init__(self, device):
super().__init__()
self.model = MLPModule(device=device)
def forward(self, x):
x = funcol.all_gather_tensor(x, 0, world_pg)
x = funcol.reduce_scatter_tensor(x, "sum", 0, world_pg)
out = self.model(x)
return funcol.all_reduce(out, "sum", world_pg)
model = WrapperModel(self.device_type)
comm_mode = CommDebugMode()
with comm_mode:
model(torch.randn(20, 10, device=self.device_type))
comm_counts = comm_mode.get_comm_counts()
self.assertEqual(comm_mode.get_total_counts(), 3)
self.assertEqual(comm_counts[c10d_functional.all_reduce], 1)
self.assertEqual(comm_counts[c10d_functional.all_gather_into_tensor], 1)
self.assertEqual(comm_counts[c10d_functional.reduce_scatter_tensor], 1)
def test_comm_mode_coalesced(self):
world_pg = self.world_pg
class WrapperModelCoalesced(nn.Module):
def __init__(self, device):
super().__init__()
self.model = MLPModule(device=device)
def forward(self, x):
x = funcol.all_gather_tensor(x, 0, world_pg)
x = funcol.reduce_scatter_tensor(x, "sum", 0, world_pg)
out = self.model(x)
return funcol.all_reduce_coalesced([out], "sum", world_pg)
model = WrapperModelCoalesced(self.device_type)
comm_mode = CommDebugMode()
with comm_mode:
model(torch.randn(20, 10, device=self.device_type))
comm_counts = comm_mode.get_comm_counts()
self.assertEqual(comm_mode.get_total_counts(), 3)
self.assertEqual(comm_counts[c10d_functional.all_reduce_coalesced], 1)
self.assertEqual(comm_counts[c10d_functional.all_gather_into_tensor], 1)
self.assertEqual(comm_counts[c10d_functional.reduce_scatter_tensor], 1)
def test_comm_mode_with_dtensor(self):
world_pg = self.world_pg
mesh = DeviceMesh(self.device_type, list(range(self.world_size)))
def f(x, y):
return torch.mm(x, y)
comm_mode = CommDebugMode()
x = torch.randn(4, 8, requires_grad=True)
y = torch.randn(4, 32, requires_grad=True)
x_dtensor = DTensor.from_local(x, mesh, [Shard(0)], run_check=False)
y_dtensor = DTensor.from_local(y, mesh, [Shard(0)], run_check=False)
with comm_mode:
f(x_dtensor, y_dtensor)
comm_counts = comm_mode.get_comm_counts()
self.assertEqual(comm_mode.get_total_counts(), 1)
self.assertEqual(comm_counts[c10d_functional.all_reduce], 0)
self.assertEqual(comm_counts[c10d_functional.all_gather_into_tensor], 1)
self.assertEqual(comm_counts[c10d_functional.reduce_scatter_tensor], 0)
@requires_nccl()
def test_comm_mode_with_c10d(self):
if not torch.cuda.is_available():
return
world_pg = self.world_pg
inp = torch.rand(2, 8, 16).cuda()
all_gather_out = inp.new_empty(self.world_size * 2, 8, 16)
comm_mode = CommDebugMode()
# tests c10d all_reduce tracing
with comm_mode:
dist.all_reduce(inp)
self.checksAssert(comm_mode, c10d_ops.allreduce_, 1, 1)
# tests c10d all_gather_into_tensor tracing
with comm_mode:
dist.all_gather_into_tensor(all_gather_out, inp)
self.checksAssert(comm_mode, c10d_ops._allgather_base_, 1, 1)
# tests c10d reduce_scatter tracing
with comm_mode:
dist.reduce_scatter_tensor(inp, all_gather_out)
self.checksAssert(comm_mode, c10d_ops._reduce_scatter_base_, 1, 1)
# tests c10d broadcast tracing
with comm_mode:
dist.broadcast(inp, 0)
self.checksAssert(comm_mode, c10d_ops.broadcast_, 1, 1)
# tests c10d gather tracing
with comm_mode:
dist.gather(inp, None, 0)
self.checksAssert(comm_mode, c10d_ops.gather_, 1, 1)
# tests c10d reduce tracing
with comm_mode:
dist.reduce(inp, 0)
self.checksAssert(comm_mode, c10d_ops.reduce_, 1, 1)
# tests c10d scatter tracing
with comm_mode:
dist.scatter(inp, None, 0)
self.checksAssert(comm_mode, c10d_ops.scatter_, 1, 1)
# tests c10d all_gather tracing
output_list = []
with comm_mode:
dist.all_gather(output_list, inp, None)
self.checksAssert(comm_mode, c10d_ops.allgather_, 1, 1)
# tests c10d allgather_coalesced_ tracing
output_list = []
with comm_mode:
dist.all_gather_coalesced(output_list, [inp], None)
self.checksAssert(comm_mode, c10d_ops.allgather_coalesced_, 1, 1)
# tests c10d allgather_into_tensor_coalesced_ tracing
with comm_mode, dist._coalescing_manager():
dist.all_gather_into_tensor(all_gather_out, inp)
self.checksAssert(comm_mode, c10d_ops.allgather_into_tensor_coalesced_, 1, 1)
# tests c10d allreduce_coalesced
with comm_mode:
dist.all_reduce_coalesced(inp)
self.checksAssert(comm_mode, c10d_ops.allreduce_coalesced_, 1, 1)
# tests c10d reduce_scatter_
with comm_mode:
dist.reduce_scatter(all_gather_out, [inp])
self.checksAssert(comm_mode, c10d_ops.reduce_scatter_, 1, 1)
# tests c10d reduce_scatter_tensor_coalesced
with comm_mode as A, dist._coalescing_manager() as B:
dist.reduce_scatter_tensor(all_gather_out, inp)
self.checksAssert(comm_mode, c10d_ops.reduce_scatter_tensor_coalesced_, 1, 1)
# tests c10d alltoall_
with comm_mode:
dist.all_to_all([inp], [inp])
self.checksAssert(comm_mode, c10d_ops.alltoall_, 1, 1)
# tests c10d alltoall_base_
with comm_mode:
dist.all_to_all_single(inp, inp)
self.checksAssert(comm_mode, c10d_ops.alltoall_base_, 1, 1)
if __name__ == "__main__":
run_tests()
|
