[autoparallel] support origin activation ckpt on autoprallel system (#2468)

tests/test_auto_parallel/test_tensor_shard/test_checkpoint.py

@@ -0,0 +1,70 @@
+from functools import partial
+from typing import Optional, Tuple, Union
+
+import pytest
+import torch
+import torch.multiprocessing as mp
+import torch.nn as nn
+from torch.utils.checkpoint import checkpoint
+from transformers.pytorch_utils import Conv1D
+
+from colossalai.auto_parallel.tensor_shard.initialize import initialize_model
+from colossalai.device.device_mesh import DeviceMesh
+from colossalai.fx.graph_module import ColoGraphModule
+from colossalai.fx.tracer import ColoTracer
+from colossalai.initialize import launch
+from colossalai.logging import disable_existing_loggers
+from colossalai.tensor.shape_consistency import ShapeConsistencyManager
+from colossalai.testing import rerun_if_address_is_in_use
+from colossalai.testing.pytest_wrapper import run_on_environment_flag
+from colossalai.utils import free_port
+
+HIDDEN_SIZE = 16
+
+
+class GPT2MLPWithCkpt(nn.Module):
+
+    def __init__(self, intermediate_size, hidden_size):
+        super().__init__()
+        embed_dim = hidden_size
+        self.c_fc = Conv1D(intermediate_size, embed_dim)
+        self.c_proj = Conv1D(embed_dim, intermediate_size)
+        self.act = torch.nn.ReLU()
+
+    def forward(self, hidden_states: Optional[Tuple[torch.FloatTensor]]) -> torch.FloatTensor:
+        hidden_states = self.c_fc(hidden_states)
+        hidden_states = checkpoint(self.c_proj, hidden_states)
+        hidden_states = self.act(hidden_states)
+
+        return hidden_states
+
+
+def check_act_ckpt(rank, world_size, port):
+    disable_existing_loggers()
+    launch(config={}, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
+    model = GPT2MLPWithCkpt(intermediate_size=4 * HIDDEN_SIZE, hidden_size=HIDDEN_SIZE)
+    input_sample = {
+        'hidden_states': torch.rand(1, 64, HIDDEN_SIZE).to('meta'),
+    }
+    physical_mesh_id = torch.arange(0, 4)
+    mesh_shape = (2, 2)
+    # [[0, 1]
+    #  [2, 3]]
+    device_mesh = DeviceMesh(physical_mesh_id, mesh_shape, init_process_group=True)
+    gm = initialize_model(model, input_sample, device_mesh)
+    code = gm.module.graph.python_code('self').src
+    assert "runtime_comm_spec_apply_1 = colossalai_auto_parallel_passes_runtime_apply_pass_runtime_comm_spec_apply(linear_1, comm_actions_dict, 12, 'linear_1')" in code
+    assert "view_3 = colossalai.utils.activation_checkpoint.checkpoint(self.checkpoint_0, False, view_1, comm_actions_dict, use_reentrant=True)" in code
+
+
+@run_on_environment_flag(name='AUTO_PARALLEL')
+@pytest.mark.dist
+@rerun_if_address_is_in_use()
+def test_mlp_layer():
+    world_size = 4
+    run_func = partial(check_act_ckpt, world_size=world_size, port=free_port())
+    mp.spawn(run_func, nprocs=world_size)
+
+
+if __name__ == '__main__':
+    test_mlp_layer()