已合并
test: add NPU tests for BroadcastingTorchSaveReader APIs #35035
zjucn创建于 5月8日
test: add NPU tests for BroadcastingTorchSaveReader APIs #35035
已合并
共 4 个文件变更+171-1
| @@ -60,6 +60,11 @@ | |||
| 60 | |torch.distributed.checkpoint.state_dict.set_model_state_dict|是|-| | 60 | |torch.distributed.checkpoint.state_dict.set_model_state_dict|是|-| |
| 61 | |torch.distributed.checkpoint.state_dict.set_optimizer_state_dict|是|-| | 61 | |torch.distributed.checkpoint.state_dict.set_optimizer_state_dict|是|-| |
| 62 | |torch.distributed.checkpoint.state_dict.StateDictOptions|是|-| | 62 | |torch.distributed.checkpoint.state_dict.StateDictOptions|是|-| |
| 63 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader|是|-| | ||
| 64 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_metadata|是|-| | ||
| 65 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_local_plan|是|-| | ||
| 66 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_global_plan|是|-| | ||
| 67 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_data|是|-| | ||
| 63 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.reset|是|-| | 68 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.reset|是|-| |
| 64 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.set_up_storage_reader|是|-| | 69 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.set_up_storage_reader|是|-| |
| 65 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.validate_checkpoint_id|是|-| | 70 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.validate_checkpoint_id|是|-| |
| @@ -60,6 +60,11 @@ | |||
| 60 | |torch.distributed.checkpoint.state_dict.set_model_state_dict|是|-| | 60 | |torch.distributed.checkpoint.state_dict.set_model_state_dict|是|-| |
| 61 | |torch.distributed.checkpoint.state_dict.set_optimizer_state_dict|是|-| | 61 | |torch.distributed.checkpoint.state_dict.set_optimizer_state_dict|是|-| |
| 62 | |torch.distributed.checkpoint.state_dict.StateDictOptions|是|-| | 62 | |torch.distributed.checkpoint.state_dict.StateDictOptions|是|-| |
| 63 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader|是|-| | ||
| 64 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_metadata|是|-| | ||
| 65 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_local_plan|是|-| | ||
| 66 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_global_plan|是|-| | ||
| 67 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_data|是|-| | ||
| 63 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.reset|是|-| | 68 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.reset|是|-| |
| 64 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.set_up_storage_reader|是|-| | 69 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.set_up_storage_reader|是|-| |
| 65 | -|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.validate_checkpoint_id|是|-| | 70 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.validate_checkpoint_id|是|-| |
| @@ -60,6 +60,11 @@ | |||
| 60 | |torch.distributed.checkpoint.state_dict.set_model_state_dict|是|-| | 60 | |torch.distributed.checkpoint.state_dict.set_model_state_dict|是|-| |
| 61 | |torch.distributed.checkpoint.state_dict.set_optimizer_state_dict|是|-| | 61 | |torch.distributed.checkpoint.state_dict.set_optimizer_state_dict|是|-| |
| 62 | |torch.distributed.checkpoint.state_dict.StateDictOptions|是|-| | 62 | |torch.distributed.checkpoint.state_dict.StateDictOptions|是|-| |
| 63 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader|是|-| | ||
| 64 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_metadata|是|-| | ||
| 65 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_local_plan|是|-| | ||
| 66 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_global_plan|是|-| | ||
| 67 | +|torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_data|是|-| | ||
| 63 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.reset|是|-| | 68 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.reset|是|-| |
| 64 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.set_up_storage_reader|是|-| | 69 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.set_up_storage_reader|是|-| |
| 65 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.validate_checkpoint_id|是|-| | 70 | |torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.validate_checkpoint_id|是|-| |
| @@ -0,0 +1,155 @@ | |||
| 1 | +""" | ||
| 2 | +1. PyTorch community lacks direct validation cases for some | ||
| 3 | + torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader APIs, | ||
| 4 | + so this file is added. | ||
| 5 | + | ||
| 6 | +2. This file validates the following APIs: | ||
| 7 | + torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_metadata | ||
| 8 | + torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_local_plan | ||
| 9 | + torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.prepare_global_plan | ||
| 10 | + torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader.read_data | ||
| 11 | + (extendable) | ||
| 12 | +""" | ||
| 13 | + | ||
| 14 | +import os | ||
| 15 | +import tempfile | ||
| 16 | + | ||
| 17 | +import torch | ||
| 18 | +import torch.distributed as dist | ||
| 19 | +import torch.distributed.checkpoint as dcp | ||
| 20 | +from torch.distributed.checkpoint.format_utils import ( | ||
| 21 | + BroadcastingTorchSaveReader, | ||
| 22 | + DynamicMetaLoadPlanner, | ||
| 23 | +) | ||
| 24 | +from torch.distributed.checkpoint.metadata import Metadata, MetadataIndex | ||
| 25 | +from torch.distributed.checkpoint.planner import LoadItemType, LoadPlan, ReadItem | ||
| 26 | +from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase | ||
| 27 | +from torch.testing._internal.distributed.checkpoint_utils import with_temp_dir | ||
| 28 | + | ||
| 29 | +from torch_npu.testing.common_distributed import skipIfUnsupportMultiNPU, with_comms | ||
| 30 | +from torch_npu.testing.testcase import run_tests, TestCase | ||
| 31 | + | ||
| 32 | + | ||
| 33 | +device_type = acc.type if (acc := torch.accelerator.current_accelerator()) else "cpu" | ||
| 34 | + | ||
| 35 | + | ||
| 36 | +def _make_byteio_read_item(fqn: str = "payload") -> ReadItem: | ||
| 37 | + return ReadItem( | ||
| 38 | + type=LoadItemType.BYTE_IO, | ||
| 39 | + dest_index=MetadataIndex(fqn), | ||
| 40 | + dest_offsets=torch.Size((0,)), | ||
| 41 | + storage_index=MetadataIndex(fqn), | ||
| 42 | + storage_offsets=torch.Size((0,)), | ||
| 43 | + lengths=torch.Size((0,)), | ||
| 44 | + ) | ||
| 45 | + | ||
| 46 | + | ||
| 47 | +class DummyLoadPlanner: | ||
| 48 | + flatten_state_dict = False | ||
| 49 | + state_dict = {} | ||
| 50 | + | ||
| 51 | + | ||
| 52 | +class TestBroadcastingTorchSaveReaderApi(TestCase): | ||
| 53 | + def test_read_metadata_returns_empty_metadata(self): | ||
| 54 | + reader = BroadcastingTorchSaveReader(checkpoint_id="unused.pt") | ||
| 55 | + | ||
| 56 | + metadata = reader.read_metadata() | ||
| 57 | + | ||
| 58 | + self.assertIsInstance(metadata, Metadata) | ||
| 59 | + self.assertEqual({}, metadata.state_dict_metadata) | ||
| 60 | + | ||
| 61 | + def test_prepare_local_plan_returns_input_plan(self): | ||
| 62 | + reader = BroadcastingTorchSaveReader() | ||
| 63 | + plan = LoadPlan([], storage_data={"storage": 1}, planner_data={"planner": 2}) | ||
| 64 | + | ||
| 65 | + result = reader.prepare_local_plan(plan) | ||
| 66 | + | ||
| 67 | + self.assertIs(result, plan) | ||
| 68 | + | ||
| 69 | + def test_prepare_global_plan_returns_input_plans(self): | ||
| 70 | + reader = BroadcastingTorchSaveReader() | ||
| 71 | + plans = [ | ||
| 72 | + LoadPlan([], storage_data={"rank": 0}), | ||
| 73 | + LoadPlan([], storage_data={"rank": 1}), | ||
| 74 | + ] | ||
| 75 | + | ||
| 76 | + result = reader.prepare_global_plan(plans) | ||
| 77 | + | ||
| 78 | + self.assertIs(result, plans) | ||
| 79 | + | ||
| 80 | + def test_read_data_rejects_byte_io_items(self): | ||
| 81 | + with tempfile.TemporaryDirectory() as temp_dir: | ||
| 82 | + torch_path = os.path.join(temp_dir, "payload.pt") | ||
| 83 | + torch.save({"payload": ["step", 1]}, torch_path) | ||
| 84 | + | ||
| 85 | + reader = BroadcastingTorchSaveReader(checkpoint_id=torch_path) | ||
| 86 | + reader.is_coordinator = True | ||
| 87 | + plan = LoadPlan([_make_byteio_read_item("payload")]) | ||
| 88 | + | ||
| 89 | + with self.assertRaisesRegex(RuntimeError, "only supports loading Tensors"): | ||
| 90 | + reader.read_data(plan, DummyLoadPlanner()) | ||
| 91 | + | ||
| 92 | + | ||
| 93 | +class TestBroadcastingTorchSaveReaderNpu(DTensorTestBase): | ||
| 94 | + | ||
| 95 | + def world_size(self) -> int: | ||
| 96 | + return 2 | ||
| 97 | + | ||
| 98 | + | ||
| 99 | + | ||
| 100 | + | ||
| 101 | + def test_read_data_loads_torch_save_tensor_to_npu_state_dict(self): | ||
| 102 | + source_tensor = torch.arange(12, dtype=torch.float32).reshape(3, 4) | ||
| 103 | + torch_path = os.path.join(self.temp_dir, "tensor.pt") | ||
| 104 | + if dist.get_rank() == 0: | ||
| 105 | + torch.save({"tensor": source_tensor}, torch_path) | ||
| 106 | + dist.barrier() | ||
| 107 | + | ||
| 108 | + state_dict = {"tensor": torch.zeros(3, 4).to(device_type)} | ||
| 109 | + dcp.load( | ||
| 110 | + state_dict, | ||
| 111 | + planner=DynamicMetaLoadPlanner(), | ||
| 112 | + storage_reader=BroadcastingTorchSaveReader(), | ||
| 113 | + checkpoint_id=torch_path, | ||
| 114 | + ) | ||
| 115 | + | ||
| 116 | + self.assertEqual(source_tensor, state_dict["tensor"].cpu()) | ||
| 117 | + | ||
| 118 | + | ||
| 119 | + | ||
| 120 | + | ||
| 121 | + def test_read_data_handles_nested_state_dict(self): | ||
| 122 | + source_state_dict = { | ||
| 123 | + "model": { | ||
| 124 | + "weight": torch.arange(6, dtype=torch.float32).reshape(2, 3), | ||
| 125 | + "bias": torch.tensor([1.0, 2.0], dtype=torch.float32), | ||
| 126 | + } | ||
| 127 | + } | ||
| 128 | + torch_path = os.path.join(self.temp_dir, "nested.pt") | ||
| 129 | + if dist.get_rank() == 0: | ||
| 130 | + torch.save(source_state_dict, torch_path) | ||
| 131 | + dist.barrier() | ||
| 132 | + | ||
| 133 | + state_dict = { | ||
| 134 | + "model": { | ||
| 135 | + "weight": torch.zeros(2, 3).to(device_type), | ||
| 136 | + "bias": torch.zeros(2).to(device_type), | ||
| 137 | + } | ||
| 138 | + } | ||
| 139 | + dcp.load( | ||
| 140 | + state_dict, | ||
| 141 | + planner=DynamicMetaLoadPlanner(), | ||
| 142 | + storage_reader=BroadcastingTorchSaveReader(), | ||
| 143 | + checkpoint_id=torch_path, | ||
| 144 | + ) | ||
| 145 | + | ||
| 146 | + self.assertEqual( | ||
| 147 | + source_state_dict["model"]["weight"], state_dict["model"]["weight"].cpu() | ||
| 148 | + ) | ||
| 149 | + self.assertEqual( | ||
| 150 | + source_state_dict["model"]["bias"], state_dict["model"]["bias"].cpu() | ||
| 151 | + ) | ||
| 152 | + | ||
| 153 | + | ||
| 154 | +if __name__ == "__main__": | ||
| 155 | + run_tests() | ||