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free(): invalid pointer
DONE
#IAZ7KV
其他
zhongyunde
Opened this issue
2024-10-23 14:16
问题现象:运行异常, 因为free(): invalid pointer异常退出 ``` npu [W compiler_depend.ts:623] Warning: expandable_segments currently defaults to false. You can enable this feature by `export PYTORCH_NPU_ALLOC_CONF = expandable_segments:True`. (function operator()) <frozen importlib._bootstrap>:914: ImportWarning: TEMetaPathFinder.find_spec() not found; falling back to find_module() <frozen importlib._bootstrap>:914: ImportWarning: TEMetaPathFinder.find_spec() not found; falling back to find_module() /home/ma-user/work/zhongyunde/envs/tts_py310/lib/python3.10/tempfile.py:833: ResourceWarning: Implicitly cleaning up <TemporaryDirectory '/tmp/tmpmi3hiuc2'> _warnings.warn(warn_message, ResourceWarning) free(): invalid pointer Aborted ``` 初步分析: 该代码在910b上执行通过,相应的配置https://gitee.com/ascend/pytorch/issues/IAX25A?from=project-issue,因此测试用例本身是好的。 软件版本: -- CANN 版本:CANN 7.0.RC1  -- Python 版本 : Python 3.10.0 -- torch 版本 2.1.0 -- npu 类型:910B4 (npu-smi info) 日志信息: --提供方式 建议打包后上传到网盘中将下载链接粘贴回复内容 复现步骤:python basic1.py 测试用例:basic1.py ``` import torch import torch_npu from torch_npu.profiler import profile # Define a model class Model(torch.nn.Module): def __init__(self): super(Model, self).__init__() self.fc1 = torch.nn.Linear(10, 100) self.fc2 = torch.nn.Linear(100, 50) self.fc3 = torch.nn.Linear(50, 2) def forward(self, x): x = self.fc1(x) x = torch.relu(x) x = self.fc2(x) x = torch.relu(x) x = self.fc3(x) return x # check the avail device device = torch.device("npu" if torch.npu.is_available() else "cpu") print(device) data = torch.randn(100, 10) # Ready for input model = Model() model.to(device) input_data = data.to(device) # Analysis the performance #with profile(record_shapes=True) as prof: output = model(input_data) ```
问题现象:运行异常, 因为free(): invalid pointer异常退出 ``` npu [W compiler_depend.ts:623] Warning: expandable_segments currently defaults to false. You can enable this feature by `export PYTORCH_NPU_ALLOC_CONF = expandable_segments:True`. (function operator()) <frozen importlib._bootstrap>:914: ImportWarning: TEMetaPathFinder.find_spec() not found; falling back to find_module() <frozen importlib._bootstrap>:914: ImportWarning: TEMetaPathFinder.find_spec() not found; falling back to find_module() /home/ma-user/work/zhongyunde/envs/tts_py310/lib/python3.10/tempfile.py:833: ResourceWarning: Implicitly cleaning up <TemporaryDirectory '/tmp/tmpmi3hiuc2'> _warnings.warn(warn_message, ResourceWarning) free(): invalid pointer Aborted ``` 初步分析: 该代码在910b上执行通过,相应的配置https://gitee.com/ascend/pytorch/issues/IAX25A?from=project-issue,因此测试用例本身是好的。 软件版本: -- CANN 版本:CANN 7.0.RC1  -- Python 版本 : Python 3.10.0 -- torch 版本 2.1.0 -- npu 类型:910B4 (npu-smi info) 日志信息: --提供方式 建议打包后上传到网盘中将下载链接粘贴回复内容 复现步骤:python basic1.py 测试用例:basic1.py ``` import torch import torch_npu from torch_npu.profiler import profile # Define a model class Model(torch.nn.Module): def __init__(self): super(Model, self).__init__() self.fc1 = torch.nn.Linear(10, 100) self.fc2 = torch.nn.Linear(100, 50) self.fc3 = torch.nn.Linear(50, 2) def forward(self, x): x = self.fc1(x) x = torch.relu(x) x = self.fc2(x) x = torch.relu(x) x = self.fc3(x) return x # check the avail device device = torch.device("npu" if torch.npu.is_available() else "cpu") print(device) data = torch.randn(100, 10) # Ready for input model = Model() model.to(device) input_data = data.to(device) # Analysis the performance #with profile(record_shapes=True) as prof: output = model(input_data) ```
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