InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Y' with dtype float - 代码天地

InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Y' with dtype float

其他 2018-11-01 15:24:55 阅读次数: 0

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转载自www.cnblogs.com/nanjingli/p/9889371.html

InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Y' with dtype float

error:You must feed a value for placeholder tensor 'momentum' with dtype float

Tensorflow: You must feed a value for placeholder tensor 'inputs/y_input' with dtype float and shape

InvalidArgumentError: You must feed a value for placeholder tensor 'xxx' with dtype xxx and shape xx

You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]

坑之 You must feed a value for placeholder tensor ‘label_input‘ with dtype float and shape

INVALID_ARGUMENT: You must feed a value for placeholder tensor ‘inputs‘ with dtype float and shape

InvalidArgumentError (see above for traceback): clip_value_min and clip_value_max must be either...

merged = tf.summary.merge_all()引起的出错：You must feed a value for placeholder tensor ‘input/y-input‘

tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder报

tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder

tl.layers.DropoutLayer引发的“ You must feed a value for placeholder tensor 'Placeholder' ”问题及解决方法

InvalidArgumentError (see above for traceback): targets[0] is out of range

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match

[Bug集合]InvalidArgumentError (see above for traceback): targets[0] is out of range

tensorflow错误：InvalidArgumentError (see above for traceback): Cannot assign a device for operation

tensorflow报InvalidArgumentError (see above for traceback): Conv2DSlowBackpropInput

Tensorflow错误InvalidArgumentError see above for traceback): No OpKernel was registered to support Op

Tensorflow报错：placeholder tensor 'Placeholder_1' with dtype float

tensorflow: FailedPreconditionError (see above for traceback): Attempting to use uninitialized value

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value Variable

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value Variable:

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs

InvalidArgumentError (see above for traceback): Default MaxPoolingOp only supports NHWC on device ty

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lh

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）

卷积层后连接LSTM层的报错（InvalidArgumentError (see above for traceback): Incompatible shapes: [128] vs. [384]）

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

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

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

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