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

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

其他 2021-11-29 17:44:27 阅读次数: 0

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转载自blog.csdn.net/qq_42363032/article/details/121614493

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

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

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

ValueError: Tensor Tensor("mrcnn_detection/PyFunc:0", dtype=float32) is not an element of this graph

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

cannot compute MatMul as input #1(zero-based) was expected to be a double tensor but is a float...

ValueError: Input 0 is incompatible with layer decoder_or_generator: expected shape=(None, 4, 4, 1)

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

TypeError: Can not convert a float32 into a Tensor or Operation.

Tensorflow报错：placeholder tensor 'Placeholder_1' with dtype float

tf.reshape(tensor, shape, name=None)改变tensor的形状

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

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

TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int

深挖Openstack Compute HA（1）

ValueError: Cannot feed value of shape (1,) for Tensor u'Placeholder:0', which has shape '(1, 1)'

RuntimeError: Could not infer dtype of numpy.float32 问题解决

ValueError: could not convert string to float: 'NONE'解决方案

搭建自己的深度学习模型_output with shape [1, 167, 390] doesn‘t match the broadcast shape [3, 167, 390]

if you do not mind this loss, you can: 1) explicitly cast your data to float32

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

Delphi 笔记（一） Could not create output file

已解决ValueError: Cannot feed value of shape (1, 10, 4) for Tensor ‘Placeholder:0‘, which has shape ‘(?

ValueError: could not broadcast input array from shape (22500,3) into shape (1)

Cannot interpret feed_dict key as Tensor: Tensor Tensor("input_pro:0", shape=(100, 20, 704, 1), dty

when checking input expected input_image_meta to have shape (None,14)but got array with shape (1,15)

1. tf.nn.conv2d_transpose解决output_shape问题，解决需要固定输出尺寸的问题

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