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Tensorflow ERROR:ResourceExhaustedError :OOM when allocating tensor with shape []
其他
2019-01-15 15:52:17
阅读次数: 0
Solution:
nvidia-smi 查看GPU是否被占用,停掉重新运行就可以。
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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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