export

datasets
- Conll05st
- Imdb
- Imikolov
- Movielens
- UCIHousing
- WMT14
- WMT16

datasets
- Cifar10
- Cifar100
- DatasetFolder
- FashionMNIST
- Flowers
- ImageFolder
- MNIST
- VOC2012
models
- LeNet
- mobilenet_v1
- mobilenet_v2
- MobileNetV1
- MobileNetV2
- ResNet
- resnet101
- resnet152
- resnet18
- resnet34
- resnet50
- VGG
- vgg11
- vgg13
- vgg16
- vgg19
ops
transforms
- adjust_brightness
- adjust_contrast
- adjust_hue
- adjust_saturation
- BaseTransform
- BrightnessTransform
- center_crop
- CenterCrop
- ColorJitter
- Compose
- ContrastTransform
- crop
- Grayscale
- hflip
- HueTransform
- Normalize
- normalize
- Pad
- pad
- RandomCrop
- RandomHorizontalFli
- RandomResizedCrop
- RandomRotation
- RandomVerticalFlip
- Resize
- resize
- rotate
- SaturationTransform
- to_grayscale
- to_tensor
- ToTensor
- Transpose
- vflip

API 指南

paddle.fluid / layers / has_nan

has_nan¶

paddle. has_nan ( x ) ¶

检查输入的变量(x)中是否包含NAN。

参数：

x (Tensor) - 被检查的变量Tensor。

返回：Tensor，存储输出值，包含一个bool型数值，指明输入中是否包含NAN。

代码示例：

import paddle
data = paddle.randn(shape=[2,3], dtype="float32")
res = paddle.has_nan(data)
# [False]

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