input tensor values 困惑 - 代码天地

input tensor values 困惑

其他 2018-08-12 05:08:40 阅读次数: 0

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转载自blog.csdn.net/hensonwells/article/details/78236835

input tensor values 困惑

如何构造1-hot values的Tensor

问题记录：Tensor had NaN values

tensorflow error LossTensor is inf or nan : Tensor had Inf values

困惑

错误AssertionError: size of input tensor and input format are different

AssertionError: size of input tensor and input format are different.

typeError:The value of a feed cannot be a tf.Tensor object.Acceptable feed values include Python scalars,strings,lists.numpy ndarrays,or TensorHandles.For reference.the tensor object was Tensor...

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

torch.addcmul(input, value=1, tensor1, tensor2, out=None)的使用举例

torch.addcdiv(input, value=1, tensor1, tensor2, out=None)的使用举例

Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight';

input_tensor alone dtype must be string or integer

Layer concatenate_1 was called with an input that isn't a symbolic tensor

linear(): argument ‘input‘ (position 1) must be Tensor, not str

RuntimeError: view size is not compatible with input tensor‘s size and stride

TypeError: The value of a feed cannot be a tf.Tensor object. Acceptable feed values include Python s

Tensor

报错[error] input tesnor exceeds available data range [NeuralNetwork(3)] [error] Input tensor ‘0‘ (0)

Tensor Tensor

解决：TypeError: Value passed to parameter 'input' has DataType float64 not in list of allowed values:

tensorflow typeerror: tf_sessionrun_wrapper: expected all values in input dict to be ndarray

TypeError: TF_SessionRun_wrapper: expected all values in input dict to be ndarray.

TypeError: TF_SessionRun_wrapper: expected all values in input dict to be ndarray

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

使用torch.utils.tensorboard中的SummaryWriter类显示图像时报错size of input tensor and input format are different

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

def reduce_mean(input_tensor,axis=None, keepdims=None )学习

ValueError: Cannot feed value of shape (64, 2) for Tensor 'input_y:0', which has shape '(?, 3)'

Cannot feed value of shape (0,) for Tensor 'input_image:0', which has shape '(?, 224, 224, 3)']

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