fix docs (#28683)

python/paddle/nn/functional/conv.py

@@ -211,7 +211,7 @@ def conv1d(x,
            [[0, 3, 4],
             [2, 9, 7],
             [5, 6, 8]]]).astype(np.float32)
-          paddle.disable_static()
+          
           x_var = paddle.to_tensor(x)
           w_var = paddle.to_tensor(w)
           y_var = F.conv1d(x_var, w_var)
@@ -673,7 +673,6 @@ def conv1d_transpose(x,
           import paddle.nn.functional as F
           import numpy as np
           
-          paddle.disable_static()
           # shape: (1, 2, 4)
           x=np.array([[[4, 0, 9, 7],
                        [8, 0, 9, 2,]]]).astype(np.float32)

python/paddle/nn/functional/loss.py

@@ -895,8 +895,6 @@ def kl_div(input, label, reduction='mean', name=None):
             import numpy as np
             import paddle.nn.functional as F
 
-            paddle.disable_static()
-
             shape = (5, 20)
             input = np.random.uniform(-10, 10, shape).astype('float32')
             target = np.random.uniform(-10, 10, shape).astype('float32')

python/paddle/nn/layer/loss.py

@@ -773,8 +773,6 @@ class KLDivLoss(fluid.dygraph.Layer):
             import numpy as np
             import paddle.nn as nn
 
-            paddle.disable_static()
-
             shape = (5, 20)
             x = np.random.uniform(-10, 10, shape).astype('float32')
             target = np.random.uniform(-10, 10, shape).astype('float32')

python/paddle/utils/download.py

@@ -123,7 +123,7 @@ def get_weights_path_from_url(url, md5sum=None):
     Examples:
         .. code-block:: python
 
-            from paddle.incubate.hapi.download import get_weights_path_from_url
+            from paddle.utils.download import get_weights_path_from_url
 
             resnet18_pretrained_weight_url = 'https://paddle-hapi.bj.bcebos.com/models/resnet18.pdparams'
             local_weight_path = get_weights_path_from_url(resnet18_pretrained_weight_url)

python/paddle/vision/datasets/folder.py

@@ -306,7 +306,7 @@ class ImageFolder(Dataset):
             index (int): Index
 
         Returns:
-            tuple: (sample, target) where target is class_index of the target class.
+            sample of specific index.
         """
         path = self.samples[index]
         sample = self.loader(path)

python/paddle/vision/transforms/functional.py

@@ -39,7 +39,7 @@ from . import functional_tensor as F_t
 __all__ = [
     'to_tensor', 'hflip', 'vflip', 'resize', 'pad', 'rotate', 'to_grayscale',
     'crop', 'center_crop', 'adjust_brightness', 'adjust_contrast', 'adjust_hue',
-    'to_grayscale', 'normalize'
+    'normalize'
 ]
 
 
@@ -283,13 +283,11 @@ def center_crop(img, output_size):
         return F_cv2.center_crop(img, output_size)
 
 
-def hflip(img, backend='pil'):
+def hflip(img):
     """Horizontally flips the given Image or np.array.
 
     Args:
         img (PIL.Image|np.array): Image to be flipped.
-        backend (str, optional): The image proccess backend type. Options are `pil`, 
-            `cv2`. Default: 'pil'. 
 
     Returns:
         PIL.Image or np.array:  Horizontall flipped image.
@@ -576,8 +574,6 @@ def to_grayscale(img, num_output_channels=1):
 
     Args:
         img (PIL.Image|np.array): Image to be converted to grayscale.
-        backend (str, optional): The image proccess backend type. Options are `pil`, 
-                    `cv2`. Default: 'pil'. 
 
     Returns:
         PIL.Image or np.array: Grayscale version of the image.
@@ -624,7 +620,7 @@ def normalize(img, mean, std, data_format='CHW', to_rgb=False):
             this option will be igored. Default: False.
 
     Returns:
-        Tensor: Normalized mage. Data format is same as input img.
+        np.ndarray or Tensor: Normalized mage. Data format is same as input img.
     
     Examples:
         .. code-block:: python