tensorflow報錯 tensorflow Resource exhausted: OOM when allocating tensor with shape
在使用tensorflow的object detection時，出現以下報錯 tensorflow Resource exhausted: OOM when allocating tensor with shape 可能的解決方法： 減小訓練的batch大小 ...
原文：OP_REQUIRES failed at conv_ops.cc:386 : Resource exhausted: OOM when allocating tensor with shape..
tensorflow gpu驗證准確率是報錯如上： 解決辦法： . 加入os.environ CUDA VISIBLE DEVICES 強制使用CPU驗證 慢 . batch size , 降低為 ，即可使用GPU跑 快 ...
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tensorflow/core/framework/op_kernel.cc:1111] OP_REQUIRES failed at transpose_op.cc:199 : Resource exhausted:
運行報錯tensorflow/core/framework/op_kernel.cc:1111] OP_REQUIRES failed at transpose_op.cc:199 : Resource exhausted: OOM when allocating tensor ...
【tf.keras】Resource exhausted: OOM when allocating tensor with shape [9216,4096] and type float on /job:localhost/replica:0/task:0/device:GPU
運行以下類似代碼： 最后會報錯： 解決辦法： 如： 詳細報錯如下： References Keras解決OOM超內存問題 -- silent56_th Keras 循環訓練模型跑數據時內存泄漏的問題解決辦法 -- jemmie_w ...
Resource exhausted: OOM when allocating tensor with shape[3,3,384,384] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator
報錯信息： OP_REQUIRES failed at assign_op.h:111 : Resource exhausted: OOM when allocating tensor with shape[3,3,384,384] and type float on /job ...
TensorFlow重新導入restore報錯： OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key Variable not found in checkpoint
\op_kernel.cc:1318] OP_REQUIRES failed at save_restore_v ...
OOM when allocating tensor of shape [] and type float [[node conv2d_224/kernel/Initializer/random_uniform/min (defined at ./intances/utils.py:19) ]]
當你們在用模型加載，tensorflow-gpu預測的時候，有沒有出現這樣的錯誤？？ 經過網上的資料查閱，更多的解釋是GPU的顯存不足造成的，於是乎，我查看了一下GPU顯存：nvidia- ...
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[1,1424,2128,64]
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[1,1424,2128,64] 1、開始以為是 是顯卡顯存不足，沒有想到是gpu問題 ...
顯存不夠----ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[4096]
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[4096] 類似問題 https://github.com/CharlesShang ...