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 / Tensor

Tensor¶

paddle. Tensor ( ) ¶

Tensor用于表示多维张量，可以通过 np.array(tensor) 方法转换为numpy.ndarray。

示例代码

import paddle.fluid as fluid

t = fluid.Tensor()

set ( array, place, zero_copy=False ) ¶

该接口根据输入的numpy array和设备place，设置Tensor的数据。

参数：

array (numpy.ndarray) - 要设置的numpy array，支持的数据类型为bool, float32, float64, int8, int32, int64, uint8, uint16。
place (CPUPlace|CUDAPlace|CUDAPinnedPlace) - 要设置的Tensor所在的设备。
zero_copy (bool，可选) - 是否与输入的numpy数组共享内存。此参数仅适用于CPUPlace。默认值为False。

返回：无。

示例代码

import paddle.fluid as fluid
import numpy as np

t = fluid.Tensor()
t.set(np.ndarray([5, 30]), fluid.CPUPlace())

shape(self: paddle.fluid.core_avx.Tensor) → List[int]

该接口返回Tensor的shape。

返回：Tensor的shape。

返回类型：List[int] 。

示例代码

import paddle.fluid as fluid
import numpy as np

t = fluid.Tensor()
t.set(np.ndarray([5, 30]), fluid.CPUPlace())
print(t.shape())  # [5, 30]

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