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OOM when allocating tensor with shape[300,14,14,256] and type float on /job:localhost/replica:0/tas
時間 2021-01-02
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tensorflow
深度學習
機器學習
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訓練mask-R-cnn模型,訓練時將model.train(dataset_train, dataset_val,learning_rate=config.LEARNING_RATE,epochs=40,layers='heads')中的layers=‘heads’修改成layers='4+',結果報錯 OOM when allocating tensor with shape[300,256,
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相關文章
1.
【tf.keras】Resource exhausted: OOM when allocating tensor with shape [9216,4096] and type float on /j
2.
''tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with sh
3.
ResourceExhaustedError: OOM when allocating tensor with shape[10,256,400,528]
4.
Error:OOM when allocating tensor with shape[......]
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ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[682112,156]
6.
You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]
7.
[顯存被佔滿,程序無法運行問題]ResourceExhaustedError (see above for traceback): OOM when allocating tensor
8.
tensor&ndarray&int、float
9.
Tensor and Variable
10.
InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_1' with dtype float
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