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[misc] refactor launch API and tensor constructor (#5666)

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* [misc] remove config arg from initialize

* [misc] remove old tensor contrusctor

* [plugin] add npu support for ddp

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* [devops] fix doc test ci

* [test] fix test launch

* [doc] update launch doc

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Hongxin Liu
2024-04-29 10:40:11 +08:00
committed by GitHub
parent 91fa553775
commit 7f8b16635b
223 changed files with 294 additions and 403 deletions
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2
tests/test_legacy/test_utils/test_checkpoint/test_checkpoint_1d.py
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@@ -43,7 +43,7 @@ def check_checkpoint_1d(rank, world_size, port):
)
disable_existing_loggers()
launch(config=config, rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
launch(rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
m1 = nn.Sequential(nn.Linear(4, 8), nn.Linear(8, 4))
sd1 = m1.state_dict()

2
tests/test_legacy/test_utils/test_checkpoint/test_checkpoint_2d.py
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@@ -43,7 +43,7 @@ def check_checkpoint_2d(rank, world_size, port):
)
disable_existing_loggers()
launch(config=config, rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
launch(rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
m1 = nn.Sequential(nn.Linear(4, 8), nn.Linear(8, 4))
sd1 = m1.state_dict()

2
tests/test_legacy/test_utils/test_checkpoint/test_checkpoint_2p5d.py
View File

@@ -43,7 +43,7 @@ def check_checkpoint_2p5d(rank, world_size, port):
)
disable_existing_loggers()
launch(config=config, rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
launch(rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
m1 = nn.Sequential(nn.Linear(4, 8), nn.Linear(8, 4))
sd1 = m1.state_dict()

2
tests/test_legacy/test_utils/test_checkpoint/test_checkpoint_3d.py
View File

@@ -43,7 +43,7 @@ def check_checkpoint_3d(rank, world_size, port):
)
disable_existing_loggers()
launch(config=config, rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
launch(rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
m1 = nn.Sequential(nn.Linear(4, 8), nn.Linear(8, 4))
sd1 = m1.state_dict()

2
tests/test_legacy/test_utils/test_memory.py
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@@ -14,7 +14,7 @@ def _run_colo_set_process_memory_fraction_and_colo_device_memory_capacity():
def run_dist(rank, world_size, port):
colossalai.legacy.launch(config={}, rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
colossalai.legacy.launch(rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
_run_colo_set_process_memory_fraction_and_colo_device_memory_capacity()

2
tests/test_legacy/test_utils/test_norm_gradient_clipping.py
View File

@@ -62,7 +62,7 @@ def run_grad_clip_norm(world_size: int, dtype: torch.dtype, device: str, norm_ty
def run_dist(rank, world_size, port):
disable_existing_loggers()
colossalai.legacy.launch(config={}, rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
colossalai.legacy.launch(rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")
run_grad_clip_norm(world_size=world_size)