mirror of https://github.com/hpcaitech/ColossalAI
26 lines
738 B
Python
26 lines
738 B
Python
import torch
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from colossalai.device.device_mesh import DeviceMesh
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from colossalai.tensor.sharding_spec import ShardingSpec, _DimSpec
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def test_sharding_spec():
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physical_mesh_id = torch.arange(0, 16)
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mesh_shape = (4, 4)
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# [[0, 1, 2, 3],
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# [4, 5, 6, 7],
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# [8, 9, 10,11],
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# [12,13,14,15]]
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device_mesh = DeviceMesh(physical_mesh_id, mesh_shape)
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entire_shape = torch.Size((16, 8, 6))
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dim_partition_dict = {0: [0, 1]}
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# DistSpec:
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# shard_sequence: S01,R,R
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# device_mesh_shape: (4, 4)
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sharding_spec = ShardingSpec(device_mesh, entire_shape, dim_partition_dict)
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assert str(sharding_spec.sharding_sequence) == "[S01, R, R]"
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if __name__ == '__main__':
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test_sharding_spec()
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