mirror of https://github.com/hpcaitech/ColossalAI
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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import pytest
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import torch
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from checks_1d.check_layer_1d import *
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from colossalai.core import global_context as gpc
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from colossalai.initialize import launch
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from colossalai.logging import disable_existing_loggers
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from colossalai.testing import rerun_if_address_is_in_use, spawn
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CONFIG = dict(parallel=dict(pipeline=dict(size=1), tensor=dict(size=4, mode='1d')),)
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def check_layer(rank, world_size, port):
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disable_existing_loggers()
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launch(config=CONFIG, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
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check_linear_col()
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check_linear_row()
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check_embed()
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check_vocab_parallel_embed()
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check_classifier_no_given_weight()
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check_vocab_parallel_classifier_no_given_weight()
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check_classifier_given_embed_weight()
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check_vocab_parallel_classifier_given_embed_weight()
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check_vocab_parallel_loss()
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check_linear_row_stream_inference()
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gpc.destroy()
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torch.cuda.empty_cache()
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@pytest.mark.dist
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@rerun_if_address_is_in_use()
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def test_1d():
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spawn(check_layer, 4)
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if __name__ == '__main__':
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test_1d()
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