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ResourceExhaustedError: OOM when allocating tensor with shape[10,256,400,528]
時間 2020-01-25
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resourceexhaustederror
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使用keras庫進行模型訓練時,出現如下錯誤: ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[10,256,400,528] 解決方法以下: [10,256,400,528]的第一個參數表示batch_size的大小,第二個參數表示某層卷積核的個數,第三個參數表示圖像的
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''tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with sh
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ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[682112,156]
3.
Error:OOM when allocating tensor with shape[......]
4.
【tf.keras】Resource exhausted: OOM when allocating tensor with shape [9216,4096] and type float on /j
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OOM when allocating tensor with shape[300,14,14,256] and type float on /job:localhost/replica:0/tas
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[顯存被佔滿,程序無法運行問題]ResourceExhaustedError (see above for traceback): OOM when allocating tensor
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