"Dst tensor is not initialized" 是 TensorFlow 中一个常见的错误,通常发生在 GPU 内存不足或显存分配不当的情况下。以下是针对这一问题的详细分析和解决方案: 1. 确定问题的上下文 这个错误通常出现在使用 TensorFlow 进行深度学习训练时,尤其是在处理大型模型或大量数据时。错误表明某个目标张量(dst tensor)在运算
错误:InternalError: Dst tensor is not initialized. 分析:出现这个错误一般是GPU内存耗尽,挂在后台进程中的IPython内核会这样做 解决办法:运行程序之前,先运行export CUDA_VISIBLE_DEVICES=1,仅显卡设备1GPU可见,tensorflow 算是一个比较贪心的工具了就算用device_id指定gpu 也会占用别的GPU的显存资源 必须在执行程序...
E tensorflow/core/common_runtime/executor.cc:334] Executor failed to create kernel. Internal: Dst tensor is not initialized. [[Node: Const = Constdtype=DT_FLOAT, value=Tensor<type: float shape: [10000,784] values: -0.5 -0.49607843 -0.5...>, _device="/job:localhost/replica:0/task:0/...
问tensorflow.python.framework.errors_impl.InternalError: Dst张量未初始化EN我的数据集是.tfrecords格式...
它是惰性初始化的，所以您总是可以导入它，并使用is_available()来确定您的系统是否支持CUDA。CUDA ...
(tensors,feed_dict,graph,session)3332"the tensor's graph is different from the session's "3333"graph.")->3334returnsession.run(tensors,feed_dict)33353336/home/burness/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pycinrun(self,fetches,feed_dict,options,run_metadata)...
InternalError: Dst tensor is not initialized. [[Node: _recv_Placeholder_3_0/_1007 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_312__recv_Placeho...
(value, ctx.device_name, dtype) tensorflow.python.framework.errors_impl.InternalError:Failed copying input tensor from /job:localhost/replica:0/task:0/device:CPU:0to /job:localhost/replica:0/task:0/device:GPU:0inorder to run_EagerConst:Dst tensor isnotinitialized. linux_user@server_machine:~...