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https://github.com/hpcaitech/ColossalAI.git
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[test] refactor tests with spawn (#3452)
* [test] added spawn decorator * polish code * polish code * polish code * polish code * polish code * polish code
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@@ -1,9 +1,7 @@
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from functools import partial
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from typing import List, Tuple
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import pytest
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import torch
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import torch.multiprocessing as mp
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try:
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from transformers import GPT2Config, GPT2Model
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@@ -16,6 +14,7 @@ except:
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from test_autochunk_transformer_utils import run_test
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from colossalai.autochunk.autochunk_codegen import AUTOCHUNK_AVAILABLE
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from colossalai.testing import clear_cache_before_run, parameterize, spawn
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BATCH_SIZE = 1
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SEQ_LENGTH = 512
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@@ -35,18 +34,19 @@ def get_data(shape: tuple) -> Tuple[List, List]:
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not (AUTOCHUNK_AVAILABLE and HAS_REPO),
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reason="torch version is lower than 1.12.0",
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)
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("shape", [(BATCH_SIZE, SEQ_LENGTH)])
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@pytest.mark.parametrize("max_memory", [None, 6, 8])
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@clear_cache_before_run()
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@parameterize("model", MODELS)
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@parameterize("shape", [(BATCH_SIZE, SEQ_LENGTH)])
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@parameterize("max_memory", [None, 6, 8])
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def test_autochunk_gpt(model, shape, max_memory):
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run_func = partial(
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spawn(
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run_test,
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1,
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data=get_data(shape),
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max_memory=max_memory,
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model=model,
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config=GPT2Config(n_embd=96, n_positions=shape[1], n_layer=2, n_head=4),
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)
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mp.spawn(run_func, nprocs=1)
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if __name__ == "__main__":
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@@ -8,7 +8,7 @@ from colossalai.autochunk.autochunk_codegen import AUTOCHUNK_AVAILABLE
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from colossalai.core import global_context as gpc
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from colossalai.fx.graph_module import ColoGraphModule
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from colossalai.fx.passes.meta_info_prop import MetaInfoProp
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from colossalai.utils import free_port
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from colossalai.testing import free_port
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if AUTOCHUNK_AVAILABLE:
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from colossalai.autochunk.autochunk_codegen import AutoChunkCodeGen
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