tensorboard--[[Node: inputs/x_input = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost - 代码天地

tensorboard--[[Node: inputs/x_input = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost

其他 2018-11-10 16:07:10 阅读次数: 0

错误1：
[[Node: inputs/x_input = Placeholder[dtype=DT_FLOAT, shape=[],
_device="/job:localhost/replica:0/task:0/cpu:0"]()]]
先运行tf.reset_default_graph(),清除图层，再注释掉tf.reset_default_graph()，运行代码即可
'''

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转载自blog.csdn.net/qq_21161993/article/details/83449326

tensorboard--[[Node: inputs/x_input = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost

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

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

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

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

DataLossError (see above for traceback): file is too short to be an sstable [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_F

【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

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

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[300,14,14,256] and type float on /job:localhost/replica:0/tas

tf.placeholder(dtype, shape=None, name=None)

Tikz node shape

解决ValueError: bad input shape (xxxx, x)

(numpy)python的shape、size、dtype

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

厘清Keras中的shape-unit-input-shape-input-dim

shape

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

[报错] [Ubuntu] [Python] MemoryError: Unable to allocate array with shape (x, x) and data type float64

如何理解keras中的shape/input_shape

Numpy中ndim、shape、dtype、astype的用法

numpy中ndim，shape，dtype，astype的用法

ValueError: Tensor Tensor(“...”, shape=(?, 6), dtype=float32) is not an element of this graph.解决方法

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

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)

tf.shape VS x.get_shape

tf.shape, x.shape, x.get_shape的區別

ValueError: could not broadcast input array from shape

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