二汪 2021-10-22 11:50 采纳率: 100%
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已结题

新电脑3050显卡运行不出tensorflow结果,弹出图片但图片未标注,查看显卡内存没有问题,是GPU的问题吗?

运行过程截图:

img

代码如下:

2021-10-22 10:58:52.232919: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-10-22 10:58:53.463222: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce RTX 3050 Laptop GPU major: 8 minor: 6 memoryClockRate(GHz): 1.057
pciBusID: 0000:01:00.0
2021-10-22 10:58:53.463343: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
2021-10-22 10:58:53.479559: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll
2021-10-22 10:58:53.493508: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_100.dll
2021-10-22 10:58:53.498971: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_100.dll
2021-10-22 10:58:53.519795: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_100.dll
2021-10-22 10:58:53.533053: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_100.dll
2021-10-22 10:58:53.575643: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-10-22 10:58:53.576060: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2021-10-22 10:58:53.578514: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-10-22 10:58:53.580865: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce RTX 3050 Laptop GPU major: 8 minor: 6 memoryClockRate(GHz): 1.057
pciBusID: 0000:01:00.0
2021-10-22 10:58:53.580955: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
2021-10-22 10:58:53.581451: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll
2021-10-22 10:58:53.581862: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_100.dll
2021-10-22 10:58:53.582254: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_100.dll
2021-10-22 10:58:53.582656: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_100.dll
2021-10-22 10:58:53.583057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_100.dll
2021-10-22 10:58:53.583459: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-10-22 10:58:53.583898: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2021-10-22 11:02:25.012713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-10-22 11:02:25.012804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2021-10-22 11:02:25.013084: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2021-10-22 11:02:25.015407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2931 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3050 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6)
2021-10-22 11:02:29.695015: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll
2021-10-22 11:03:41.788965: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-10-22 11:17:27.395201: W tensorflow/stream_executor/cuda/redzone_allocator.cc:312] Internal: Invoking ptxas not supported on Windows
Relying on driver to perform ptx compilation. This message will be only logged once.
2021-10-22 11:17:28.134772: W tensorflow/core/common_runtime/bfc_allocator.cc:239] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.13GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2021-10-22 11:17:28.135149: W tensorflow/core/common_runtime/bfc_allocator.cc:239] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.13GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2021-10-22 11:17:28.433284: W tensorflow/core/common_runtime/bfc_allocator.cc:239] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.71GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2021-10-22 11:17:28.433429: W tensorflow/core/common_runtime/bfc_allocator.cc:239] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.71GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.

img

  • 写回答

1条回答 默认 最新

  • 爱晚乏客游 2021-10-22 15:55
    关注

    显存不足啊,不是告诉你了吗,图片改小点试试看,或者改成cpu推理而不是GPU

    本回答被题主选为最佳回答 , 对您是否有帮助呢?
    评论

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问题事件

  • 系统已结题 10月30日
  • 已采纳回答 10月22日
  • 创建了问题 10月22日

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