Script fails with Warning: Allocation of xxx exceeds 10% of system memory. about keras-ocr HOT 3 CLOSED

python hah.python
2020-05-23 10:49:33.542154: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-05-23 10:49:33.546521: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Looking for C:\Users\有对象真好\.keras-ocr\craft_mlt_25k.h5
2020-05-23 10:49:36.715941: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2020-05-23 10:49:36.897440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:
pciBusID: 0000:08:00.0 name: GeForce GTX 1070 Ti computeCapability: 6.1
coreClock: 1.683GHz coreCount: 19 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 238.66GiB/s
2020-05-23 10:49:36.906747: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-05-23 10:49:36.911676: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cublas64_10.dll'; dlerror: cublas64_10.dll not found
2020-05-23 10:49:36.916485: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cufft64_10.dll'; dlerror: cufft64_10.dll not found
2020-05-23 10:49:36.921375: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'curand64_10.dll'; dlerror: curand64_10.dll not found
2020-05-23 10:49:36.926547: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cusolver64_10.dll'; dlerror: cusolver64_10.dll not found
2020-05-23 10:49:36.931522: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cusparse64_10.dll'; dlerror: cusparse64_10.dll not found
2020-05-23 10:49:36.968959: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2020-05-23 10:49:36.972293: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1598] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2020-05-23 10:49:36.982178: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2020-05-23 10:49:36.993768: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x22ac9b5a600 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-05-23 10:49:36.999295: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-05-23 10:49:37.002559: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-05-23 10:49:37.005983: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]
WARNING:tensorflow:From C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\backend.py:5871: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
Looking for C:\Users\有对象真好\.keras-ocr\crnn_kurapan.h5
2020-05-23 10:49:40.136767: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 3019898880 exceeds 10% of free system memory.
2020-05-23 10:49:42.211312: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 3019898880 exceeds 10% of free system memory.