OOM ResourceExhaustedError in Python when allocating tensor

编程语言 2018-05-13 10:49:45 阅读次数: 0

使用keras库进行模型训练时，出现以下错误：

出现这种错误的原因时超出内存了，适当减小batch_size的大小即可解决。

下面是stackoverflow对这个问题的描述与解决：

https://stackoverflow.com/questions/41241571/resourceexhaustederror-in-python-when-allocating-tensor

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转载自blog.csdn.net/jingbo18/article/details/80284815

OOM ResourceExhaustedError in Python when allocating tensor

Tensorflow ERROR:ResourceExhaustedError :OOM when allocating tensor with shape []

报错解决：ResourceExhaustedError: OOM when allocating tensor with shape

''tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[?]'' 错误分析

tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shap

报错：ResourceExhaustedError OOM when allocating

【转载】ResourceExhaustedError: OOM when allocating tensor with shape[10,256,400,528]

tensorflow报ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape

ResourceExhaustedError: OOM when allocating tensor with shape[10,256,400,528]

DeepLab V3+：ResourceExhaustedError (see above for traceback): OOM when allocating tensor of shape

报错: ResourceExhaustedError:OOM when allocating tensor of shape [21128,768] and type float

tensorflow ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[256,256,15,15] and type float on 报错（显存不够报错）

Tensorflow中遇到resourceExhausted OOM when allocating tensor

错误：基于tensorflow识别mnist数据集出现ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[10000,32,28,28] and type float on 卷积神经网络CNN识别MNIST数据集

Python报错：00M: When allocating tensor with shape.

TensorFlow: Resource exhausted: OOM when allocating tensor with shape[59500, 28, 28, 1]

Resource exhausted: OOM when allocating tensor with shape[2304,384] Traceback (most recent call last

Resource exhausted: OOM when allocating tensor with shape[2] and type int32 on /job:localhost/replic

OOM when allocating tensor with shape[5184,4,4,2048] and type float on /job:localhost/replica:0/task

OP_REQUIRES failed at conv_ops.cc:386 : Resource exhausted: OOM when allocating tensor with shape..

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

OOM when allocating tensor with shape[96,3,299,299] and type float on /job:localhost/replica:0/task:0/device:GPU:0

【tf.keras】Resource exhausted: OOM when allocating tensor with shape [9216,4096] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc

关于错误：OOM ResourceExhaustedError 的原因及解决方式

解决Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocatio

关于错误：OOM ResourceExhaustedError 的完美解决方法

redis报错 OOM command not allowed when used memory > 'maxmemory'

Hint: If you want to see a list of allocated tensors when OOM happens

Hint: If you want to see a list of allocated tensors when OOM happens,

坑之 TypeError: List of Tensors when single Tensor expected

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