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[gemini] async grad chunk reduce (all-reduce&reduce-scatter) (#5713)

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* [gemini] async grad chunk reduce (all-reduce&reduce-scatter)

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

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* [gemini] add test

* [gemini] rename func

* [gemini] update llama benchmark

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

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* [gemini] use tensor counter

* [gemini] change default config in GeminiPlugin and GeminiDDP

* [chore] typo

* [gemini] fix sync issue & add test cases

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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:
botbw
2024-05-24 10:31:16 +08:00
committed by GitHub
parent 85946d4236
commit 2fc85abf43
11 changed files with 130 additions and 45 deletions
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8
tests/test_zero/test_gemini/test_chunkv2.py
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@@ -34,7 +34,8 @@ def check_equal(param, param_cp):
@parameterize("init_device", [None, torch.device("cpu")])
@parameterize("keep_gathered", [True, False])
@parameterize("pin_memory", [True, False])
def exam_chunk_basic(init_device, keep_gathered, pin_memory):
@parameterize("async_op", [True, False])
def exam_chunk_basic(init_device, keep_gathered, pin_memory, async_op):
world_size = torch.distributed.get_world_size()
pg = _get_default_group()
my_chunk = Chunk(
@@ -94,9 +95,12 @@ def exam_chunk_basic(init_device, keep_gathered, pin_memory):
assert my_chunk.tensor_state_cnter[TensorState.READY_FOR_REDUCE] == 4
assert my_chunk.can_reduce
my_chunk.reduce()
my_chunk.reduce(async_op)
assert my_chunk.tensor_state_cnter[TensorState.HOLD] == 4
if async_op:
my_chunk.wait_async_reduce()
if keep_gathered is False:
assert my_chunk.cuda_shard.size(0) == 1024 // world_size
assert my_chunk.device_type == "cuda"