解决TensorFlowGPU版出现OOM错误的问题-创新互联

问题：

创新互联公司长期为上1000+客户提供的网站建设服务，团队从业经验10年，关注不同地域、不同群体，并针对不同对象提供差异化的产品和服务；打造开放共赢平台，与合作伙伴共同营造健康的互联网生态环境。为蟠龙企业提供专业的网站设计、成都做网站，蟠龙网站改版等技术服务。拥有十余年丰富建站经验和众多成功案例,为您定制开发。

在使用mask_rcnn预测自己的数据集时，会出现下面错误：

ResourceExhaustedError: OOM when allocating tensor with shape[1,512,1120,1120] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
 [[{{node rpn_model/rpn_conv_shared/convolution}} = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](fpn_p2/BiasAdd, rpn_conv_shared/kernel/read)]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
 
 [[{{node roi_align_mask/strided_slice_17/_4277}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_3068_roi_align_mask/strided_slice_17", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

网页题目：解决TensorFlowGPU版出现OOM错误的问题-创新互联
文章转载：http://bjjierui.cn/article/dcosco.html