[colotensor] add Tensor.view op and its unit test (#1343)

[colotensor] add megatron initialization for gpt2

tests/test_utils/test_colo_checkpoint_tools.py

@@ -1,47 +0,0 @@
-import torch
-import pytest
-from functools import partial
-
-import torch.multiprocessing as mp
-import torch.distributed as dist
-
-import colossalai
-from colossalai.testing import rerun_if_address_is_in_use
-from colossalai.utils.cuda import get_current_device
-from colossalai.utils import free_port
-from colossalai.tensor import ComputePattern, ComputeSpec, ColoTensor, ShardSpec, ProcessGroup, ColoTensorSpec
-from colossalai.utils.checkpoint.utils import gather_tensor, scatter_tensor
-from tests.test_tensor._utils import tensor_shard_equal
-
-
-def run_dist(rank, world_size, port, dp_degree, tp_degree):
-    colossalai.launch(config={}, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
-    pg = ProcessGroup(dp_degree=dp_degree, tp_degree=tp_degree)
-    x = torch.randn(4, 4, device=get_current_device())
-    param = ColoTensor(torch.nn.Parameter(x), spec=ColoTensorSpec(pg))
-    spec = ShardSpec([-1], [pg.tp_world_size()]), ComputeSpec(ComputePattern.TP1D)
-    param.set_tensor_spec(*spec)
-
-    gather_tensor(param)
-    if dist.get_rank() == 0:
-        assert torch.allclose(x, param.data, rtol=0, atol=0)
-    else:
-        assert tensor_shard_equal(x, param.data, pg.tp_local_rank(), pg.tp_world_size())
-    dist.barrier()
-
-    scatter_tensor(param, spec[0])
-    assert tensor_shard_equal(x, param.data, pg.tp_local_rank(), pg.tp_world_size())
-    assert param.requires_grad is True
-    dist.barrier()
-
-
-@pytest.mark.dist
-@pytest.mark.parametrize('world_size', [4])
-@rerun_if_address_is_in_use()
-def test_checkpoint(world_size):
-    run_func = partial(run_dist, world_size=world_size, port=free_port(), dp_degree=2, tp_degree=world_size // 2)
-    mp.spawn(run_func, nprocs=world_size)
-
-
-if __name__ == '__main__':
-    test_checkpoint(world_size=4)