mirror of https://github.com/hpcaitech/ColossalAI
22 lines
785 B
Python
22 lines
785 B
Python
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from colossalai.device.device_mesh import DeviceMesh
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import torch
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def test_device_mesh():
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physical_mesh_id = torch.arange(0, 16).reshape(2, 8)
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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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assert device_mesh.convert_map[5] == [1, 1]
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assert device_mesh.convert_map[11] == [2, 3]
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assert device_mesh.global_rank_to_process_groups_with_logical_rank(0)[0] == [[0, 0], [1, 0], [2, 0], [3, 0]]
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assert device_mesh.global_rank_to_process_groups_with_logical_rank(2)[1] == [[0, 0], [0, 1], [0, 2], [0, 3]]
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assert device_mesh.global_rank_to_process_groups_with_global_rank(2)[1] == [0, 1, 2, 3]
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if __name__ == '__main__':
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test_device_mesh()
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