paddleX小度熊训练时出现错误，请问下原因是内存不足还是？

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This log file path is E:\python related\new python study\paddlex workspace\projects\P0004\T0008\err.log 注意：标志为WARNING/INFO类的仅为警告或提示类信息，非错误信息 E:\python related\new python study\PaddleX_GUI_2.1.0_win10\paddle\tensor\creation.py:130: DeprecationWarning: np.object is a deprecated alias for the builtin object. To silence this warning, use object by itself. Doing this will not modify any behavior and is safe. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if data.dtype == np.object: Process Process-1:7: Traceback (most recent call last): File "multiprocessing\process.py", line 297, in _bootstrap File "multiprocessing\process.py", line 99, in run File "paddlexui\pms\model_tasks\tasks.py", line 73, in _call_paddlex_train File "paddlexui\pms\model_tasks\train\detection.py", line 263, in train File "E:\python related\new python study\PaddleX_GUI_2.1.0_win10\paddlex\cv\models\detector.py", line 2226, in train early_stop_patience, use_vdl, resume_checkpoint) File "E:\python related\new python study\PaddleX_GUI_2.1.0_win10\paddlex\cv\models\detector.py", line 334, in train use_vdl=use_vdl) File "E:\python related\new python study\PaddleX_GUI_2.1.0_win10\paddlex\cv\models\base.py", line 339, in train_loop loss.backward() File "", line 2, in backward File "E:\python related\new python study\PaddleX_GUI_2.1.0_win10\paddle\fluid\wrapped_decorator.py", line 25, in impl return wrapped_func(*args, **kwargs) File "E:\python related\new python study\PaddleX_GUI_2.1.0_win10\paddle\fluid\framework.py", line 229, in impl return func(*args, **kwargs) File "E:\python related\new python study\PaddleX_GUI_2.1.0_win10\paddle\fluid\dygraph\varbase_patch_methods.py", line 249, in backward framework._dygraph_tracer()) OSError: (External) ResourceExhaustedError:

Out of memory error on GPU 0. Cannot allocate 53.450684MB memory on GPU 0, 1.999756GB memory has been allocated and available memory is only 0.000000B.

Please check whether there is any other process using GPU 0.

1. If yes, please stop them, or start PaddlePaddle on another GPU.
2. If no, please decrease the batch size of your model.

(at ..\paddle\fluid\memory\allocation\cuda_allocator.cc:79) (at ..\paddle\fluid\imperative\basic_engine.cc:571)

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GPU0显示未被占用