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

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

企业开发 2023-04-06 20:09:34 阅读次数: 0

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转载自blog.csdn.net/qq_33047753/article/details/104660599

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[5184,4,4,2048] and type float on /job:localhost/replica:0/task

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

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

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

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

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

OOM ResourceExhaustedError in Python 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

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

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

''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

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

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

Tensorflow中遇到resourceExhausted OOM when allocating tensor

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

报错：ResourceExhaustedError OOM when allocating

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

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

Tensor Tensor("dense_2/Softmax:0", shape=(?, 192), dtype=float32) is not an element of this graph

Tensor Tensor("predictions/Softmax:0",shape=(?,4),dtype=float32) is not an element of this graph

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

ValueError:Tensor("dense_1/Softmax:0", shape=(?, 3), dtype=float32) is not an element of this graph

Could not compute output Tensor(“activation/Identity:0“, shape=(None, 1), dtype=float32)

TensorFlow TypeError: Fetch argument has invalid type(Can not convert a float32 into a Tensor or Op)

TypeError: Fetch argument 0.484375 has invalid type <class 'numpy.float32'>, must be a string or Tensor. (Can not convert a float32 into a Tensor or Operation.)

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