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81 lines
2.6 KiB
81 lines
2.6 KiB
import pytest
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import torch
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import torch.distributed as dist
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import torch.nn as nn
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import colossalai
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from colossalai.moe import SparseMLP
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from colossalai.moe.manager import MOE_MANAGER
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from colossalai.testing import assert_equal_in_group, rerun_if_address_is_in_use, spawn
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from colossalai.utils import get_current_device
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from tests.test_moe.moe_utils import MoeGradientHandler
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BATCH_SIZE = 4
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DIM = 16
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def run_test(rank, world_size, port):
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colossalai.launch(
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config=dict(),
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rank=rank,
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world_size=world_size,
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host="localhost",
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port=port,
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backend="nccl",
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)
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MOE_MANAGER.setup(parallel="EP") # MOE initialization
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num_experts_list = [1, 2, 4]
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layer_list = []
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for num_experts in num_experts_list:
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moe_layer = SparseMLP(
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hidden_size=DIM,
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intermediate_size=DIM * 4,
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num_experts=num_experts,
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router_top_k=1,
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router_noisy_policy="Jitter",
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)
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layer_list.append(moe_layer)
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model = nn.ModuleList(layer_list)
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model = model.to(get_current_device())
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dist_dict = MOE_MANAGER.parallel_info_dict
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assert_equal_in_group(layer_list[0].experts.wi.data, dist_dict[1].dp_group)
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assert_equal_in_group(layer_list[0].experts.wo.data, dist_dict[1].dp_group)
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assert_equal_in_group(layer_list[1].experts.wi.data, dist_dict[2].dp_group)
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assert_equal_in_group(layer_list[1].experts.wo.data, dist_dict[2].dp_group)
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assert_equal_in_group(layer_list[2].experts.wi.data, dist_dict[4].dp_group)
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assert_equal_in_group(layer_list[2].experts.wo.data, dist_dict[4].dp_group)
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# MoE model synchronization passed
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grad_handler = MoeGradientHandler(model, 0)
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rank = dist.get_rank()
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torch.cuda.manual_seed(78 + rank)
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data = torch.randn(BATCH_SIZE, DIM, device=get_current_device())
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grad = torch.randn_like(data)
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MOE_MANAGER.reset_loss()
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for layer in layer_list:
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data = layer(data)
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data.backward(grad)
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grad_handler.handle_gradient()
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assert_equal_in_group(layer_list[0].experts.wi.grad, dist_dict[1].dp_group)
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assert_equal_in_group(layer_list[0].experts.wo.grad, dist_dict[1].dp_group)
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assert_equal_in_group(layer_list[1].experts.wi.grad, dist_dict[2].dp_group)
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assert_equal_in_group(layer_list[1].experts.wo.grad, dist_dict[2].dp_group)
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assert_equal_in_group(layer_list[2].experts.wi.grad, dist_dict[4].dp_group)
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assert_equal_in_group(layer_list[2].experts.wo.grad, dist_dict[4].dp_group)
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# MoE grad handler test passed
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@pytest.mark.dist
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@rerun_if_address_is_in_use()
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def test_grad_handler():
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spawn(run_test, 4)
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if __name__ == "__main__":
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test_grad_handler()
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