mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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89 lines
3.0 KiB
89 lines
3.0 KiB
import pytest |
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import torch |
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import torch.distributed as dist |
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import colossalai |
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from colossalai.device.device_mesh import DeviceMesh |
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from colossalai.testing import rerun_if_address_is_in_use, spawn |
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def test_device_mesh(): |
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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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assert device_mesh.global_rank_to_local_rank(5) == [1, 1] |
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assert device_mesh.global_rank_to_local_rank(11) == [2, 3] |
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assert device_mesh.get_ranks_in_process_group(axis=1, global_rank=2) == [0, 1, 2, 3] |
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def check_1d_device_mesh(): |
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# check for 1D device mesh |
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process_group = dist.GroupMember.WORLD |
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device_mesh = DeviceMesh.from_process_group(process_group) |
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# checks |
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assert device_mesh.shape == [4] |
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assert len(device_mesh.get_process_group_for_all_axes().keys()) == 1, 'Expected 1 axis for the process group dict' |
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assert device_mesh.get_process_group(axis=0) == process_group, 'Expected world process group' |
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assert device_mesh.is_initialized |
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assert device_mesh.num_devices == 4 |
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assert device_mesh.is_initialized |
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assert device_mesh.logical_mesh_id is None |
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assert device_mesh._is_init_from_process_group |
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def check_2d_device_mesh(): |
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# create process group for 2D device mesh |
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first_row_ranks = [0, 1] |
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second_row_ranks = [2, 3] |
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first_col_ranks = [0, 2] |
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second_col_ranks = [1, 3] |
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first_row_pg = dist.new_group(first_row_ranks, backend='nccl') |
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second_row_pg = dist.new_group(second_row_ranks, backend='nccl') |
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first_col_pg = dist.new_group(first_col_ranks, backend='nccl') |
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second_col_pg = dist.new_group(second_col_ranks, backend='nccl') |
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# check for |
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current_rank = dist.get_rank() |
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if current_rank in first_row_ranks: |
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row_pg = first_row_pg |
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else: |
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row_pg = second_row_pg |
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if current_rank in first_col_ranks: |
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col_pg = first_col_pg |
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else: |
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col_pg = second_col_pg |
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device_mesh = DeviceMesh.from_process_group([col_pg, row_pg]) |
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# checks |
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assert device_mesh.shape == [2, 2] |
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assert len(device_mesh.get_process_group_for_all_axes().keys()) == 2, 'Expected 2 axes for the process group dict' |
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assert device_mesh.get_process_group(axis=0) == col_pg, 'Expected column process group' |
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assert device_mesh.get_process_group(axis=1) == row_pg, 'Expected row process group' |
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assert device_mesh.num_devices == 4 |
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assert device_mesh.is_initialized |
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assert device_mesh.logical_mesh_id is None |
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assert device_mesh._is_init_from_process_group |
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def check_init_from_process_group(rank, world_size, port): |
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colossalai.launch(config={}, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl') |
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@pytest.mark.dist |
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@rerun_if_address_is_in_use() |
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def test_device_mesh_from_process_group(): |
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spawn(check_init_from_process_group, 4) |
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if __name__ == '__main__': |
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test_device_mesh() |
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test_device_mesh_from_process_group()
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