OOM when allocating tensor with shape[300,14,14,256] and type float on /job:localhost/replica:0/tas
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[......]
- 5. 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