Tensorflow ERROR:ResourceExhaustedError :OOM when allocating tensor with shape [] - 代码天地

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

其他 2019-01-15 15:52:17 阅读次数: 0

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转载自blog.csdn.net/One1994/article/details/82178800

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

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

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

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

OOM ResourceExhaustedError in Python when allocating tensor

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

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

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

报错：ResourceExhaustedError OOM when allocating

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

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

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

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

【Tensorflow】有关于tensor的shape

tensorflow.reshap(tensor,shape,name)的使用说明

numpy/tensorflow筛选/过滤得到array/tensor的shape注意点

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

tensorflow 获得tensor的维度信息，tf.shape()与 a.get_shape()的比较

Tensorflow中的tf.shape()和（tensor）x.get_shape().as_list()

关于类型为numpy，TensorFlow.tensor，torch.tensor的shape变化

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