InternalError(回溯见上文):Blas SGEMM启动失败:m=43264,n=32,k=64

2024-04-19 01:13:09 发布

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InternalError (see above for traceback): 
Blas SGEMM launch failed : m=43264, n=32, k=64
         [[Node: conv2d_3/convolution = Conv2D[T=DT_FLOAT, _class=["loc:@batch_normalization_3/cond/FusedBatchNorm/Switch"], data_format="NHWC", 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"](leaky_re_lu_2/LeakyRelu, conv2d_3/kernel/read)]]
         [[Node: boolean_mask_39/GatherV2/_3383 = _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_6079_boolean_mask_39/GatherV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

我解决不了。有人能帮我吗? cuda9.0版 第7.3.1节 tensorflow gpu 1.9.0版

我在运行yolov3


Tags: nodelocalhosttaskgpudevicedtjobmask