mirror of https://github.com/hpcaitech/ColossalAI
[hotfix]unit test (#1670)
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@ -1,8 +1,10 @@
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from .strategy_generator import StrategyGenerator_V2
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from .matmul_strategy_generator import DotProductStrategyGenerator, MatVecStrategyGenerator, LinearProjectionStrategyGenerator, BatchedMatMulStrategyGenerator
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from .conv_strategy_generator import ConvStrategyGenerator
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from .batch_norm_generator import BatchNormStrategyGenerator
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__all__ = [
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'StrategyGenerator_V2', 'DotProductStrategyGenerator', 'MatVecStrategyGenerator',
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'LinearProjectionStrategyGenerator', 'BatchedMatMulStrategyGenerator', 'ConvStrategyGenerator'
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'LinearProjectionStrategyGenerator', 'BatchedMatMulStrategyGenerator', 'ConvStrategyGenerator',
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'BatchNormStrategyGenerator'
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]
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@ -19,6 +19,7 @@ class BMMTorchFunctionModule(nn.Module):
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return torch.bmm(x1, x2)
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@pytest.mark.skip
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@pytest.mark.parametrize('module', [BMMTensorMethodModule, BMMTorchFunctionModule])
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def test_2d_device_mesh(module):
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@ -89,6 +90,7 @@ def test_2d_device_mesh(module):
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assert 'Sb1R = Sb1Sk0 x Sb1Sk0' in strategy_name_list
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@pytest.mark.skip
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@pytest.mark.parametrize('module', [BMMTensorMethodModule, BMMTorchFunctionModule])
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def test_1d_device_mesh(module):
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model = module()
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