[test] refactor tests with spawn (#3452)

* [test] added spawn decorator

* polish code

* polish code

* polish code

* polish code

* polish code

* polish code
This commit is contained in:
Frank Lee
2023-04-06 14:51:35 +08:00
committed by GitHub
parent 62f4e2eb07
commit 80eba05b0a
240 changed files with 1723 additions and 2342 deletions

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@@ -1,13 +1,9 @@
from functools import partial
import pytest
import torch
import torch.multiprocessing as mp
import colossalai
from colossalai.tensor import ColoTensor, ColoTensorSpec, ProcessGroup
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.zero.gemini.chunk import ChunkManager
from tests.test_tensor.common_utils import debug_print
@@ -64,8 +60,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [2])
@rerun_if_address_is_in_use()
def test_chunk_manager(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,15 +1,12 @@
from functools import partial
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
import colossalai
from colossalai.tensor import ColoParameter
from colossalai.tensor import ProcessGroup as ColoProcessGroup
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port, get_current_device
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils import get_current_device
from colossalai.zero.gemini import TensorState
from colossalai.zero.gemini.chunk import Chunk
@@ -117,8 +114,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 2, 4])
@rerun_if_address_is_in_use()
def test_chunk_function(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,8 +1,5 @@
from functools import partial
import pytest
import torch
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.testing import assert_close
@@ -10,8 +7,7 @@ import colossalai
from colossalai.amp import convert_to_apex_amp
from colossalai.nn.optimizer import HybridAdam
from colossalai.tensor import ProcessGroup
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, ZeroDDP, ZeroOptimizer
from colossalai.zero.gemini.chunk import ChunkManager, search_chunk_configuration
@@ -103,8 +99,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_gpt(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,14 +1,10 @@
from functools import partial
import pytest
import torch
import torch.multiprocessing as mp
import colossalai
from colossalai.tensor import ProcessGroup
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.zero import ColoInitContext, GeminiAdamOptimizer, GeminiDDP, ZeroDDP
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.zero import ColoInitContext, ZeroDDP
from colossalai.zero.gemini.chunk import ChunkManager, search_chunk_configuration
from colossalai.zero.gemini.gemini_mgr import GeminiManager
from colossalai.zero.gemini.memory_tracer.runtime_mem_tracer import RuntimeMemTracer
@@ -98,8 +94,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_gemini_use_rmt(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,14 +1,9 @@
import os
from functools import partial
import pytest
import torch
import torch.multiprocessing as mp
import colossalai
from colossalai.tensor import ColoParameter
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, GeminiDDP
from colossalai.zero.gemini.utils import get_static_torch_model
@@ -50,8 +45,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_convert_torch_module(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,25 +1,20 @@
from functools import partial
from time import time
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.testing import assert_close
import colossalai
from colossalai.amp import convert_to_apex_amp
from colossalai.nn.optimizer import HybridAdam
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, ZeroDDP, ZeroOptimizer
from colossalai.zero.gemini.chunk import ChunkManager, search_chunk_configuration
from colossalai.zero.gemini.gemini_mgr import GeminiManager
from tests.components_to_test import run_fwd_bwd
from tests.components_to_test.registry import non_distributed_component_funcs
from tests.test_tensor.common_utils import debug_print, set_seed
from tests.test_tensor.common_utils import set_seed
def check_param(model: ZeroDDP, torch_model: torch.nn.Module):
@@ -105,8 +100,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 2])
@rerun_if_address_is_in_use()
def test_grad_clip(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,18 +1,15 @@
from functools import partial
from typing import Callable
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.testing import assert_close
import colossalai
from colossalai.amp import convert_to_apex_amp
from colossalai.nn.optimizer import HybridAdam
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, ZeroDDP, ZeroOptimizer, post_process_colo_init_ctx, zero_model_wrapper
from colossalai.zero.gemini.chunk import ChunkManager, init_chunk_manager, search_chunk_configuration
@@ -128,8 +125,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_inference(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,18 +1,13 @@
from functools import partial
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.testing import assert_close
import colossalai
from colossalai.amp import convert_to_apex_amp
from colossalai.nn.optimizer import HybridAdam
from colossalai.tensor import ColoParameter, ColoTensor
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, ZeroDDP, ZeroOptimizer, post_process_colo_init_ctx
from colossalai.zero.gemini.chunk import ChunkManager, init_chunk_manager, search_chunk_configuration
@@ -157,8 +152,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_optim(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -3,12 +3,14 @@ from copy import deepcopy
import numpy as np
import torch
from colossalai.testing import clear_cache_before_run
from colossalai.zero import ColoInitContext
from colossalai.zero.gemini.memory_tracer.runtime_mem_tracer import RuntimeMemTracer
from tests.components_to_test import run_fwd_bwd
from tests.components_to_test.registry import non_distributed_component_funcs
@clear_cache_before_run()
def test_runtime_mem_tracer():
test_models = ['gpt2', 'bert', 'simple_net', 'repeated_computed_layers', 'nested_model', 'albert']

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@@ -1,14 +1,10 @@
from functools import partial
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
import colossalai
from colossalai.tensor import ComputePattern, ComputeSpec, ProcessGroup, ShardSpec
from colossalai.testing import rerun_if_address_is_in_use
from colossalai.utils import free_port, get_current_device
from colossalai.testing import rerun_if_address_is_in_use, spawn
from colossalai.utils import get_current_device
from colossalai.zero import ColoInitContext
from colossalai.zero.gemini.chunk import init_chunk_manager, search_chunk_configuration
from tests.components_to_test.registry import non_distributed_component_funcs
@@ -115,8 +111,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_search(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,14 +1,9 @@
from functools import partial
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.testing import assert_close
import colossalai
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, ZeroDDP
from colossalai.zero.gemini.chunk import ChunkManager, search_chunk_configuration
@@ -105,8 +100,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_zero_ddp(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':

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@@ -1,14 +1,10 @@
from functools import partial
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
import colossalai
from colossalai.nn.optimizer import HybridAdam
from colossalai.testing import parameterize, rerun_if_address_is_in_use
from colossalai.utils import free_port
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, ZeroDDP, ZeroOptimizer
from colossalai.zero.gemini.chunk import ChunkManager, search_chunk_configuration
@@ -83,8 +79,7 @@ def run_dist(rank, world_size, port):
@pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use()
def test_zero_optim(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port())
mp.spawn(run_func, nprocs=world_size)
spawn(run_dist, world_size)
if __name__ == '__main__':