修改docs对应的英文注释synchronize函数等 (#49428)

* 修改英文注释synchronize

* 修改英文注释synchronize;test=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

* 修改hfftn的注释错误;test=document_fix

* test=document_fix

python/paddle/device/cuda/__init__.py

@@ -48,12 +48,12 @@ def current_stream(device=None):
     '''
     Return the current CUDA stream by the device.
 
-    Parameters:
+    Args:
         device(paddle.CUDAPlace()|int, optional): The device or the ID of the device which want to get stream from.
-        If device is None, the device is the current device. Default: None.
+                If device is None, the device is the current device. Default: None.
 
     Returns:
-        CUDAStream: the stream to the device.
+            CUDAStream: the stream to the device.
 
     Examples:
         .. code-block:: python
@@ -92,9 +92,9 @@ def synchronize(device=None):
     '''
     Wait for the compute on the given CUDA device to finish.
 
-    Parameters:
+    Args:
         device(paddle.CUDAPlace()|int, optional): The device or the ID of the device.
-        If device is None, the device is the current device. Default: None.
+                If device is None, the device is the current device. Default: None.
 
     Examples:
         .. code-block:: python
@@ -287,7 +287,7 @@ def memory_allocated(device=None):
         For instance, a float32 tensor with shape [1] in GPU will take up 256 bytes memory, even though storing a float32 data requires only 4 bytes.
 
     Args:
-        device(paddle.CUDAPlace or int or str): The device, the id of the device or
+        device(paddle.CUDAPlace or int or str, optional): The device, the id of the device or
             the string name of device like 'gpu:x'. If device is None, the device is the current device.
             Default: None.
 
@@ -318,7 +318,7 @@ def memory_reserved(device=None):
     Return the current size of GPU memory that is held by the allocator of the given device.
 
     Args:
-        device(paddle.CUDAPlace or int or str): The device, the id of the device or
+        device(paddle.CUDAPlace or int or str, optional): The device, the id of the device or
             the string name of device like 'gpu:x'. If device is None, the device is the current device.
             Default: None.
 

python/paddle/fft.py

@@ -786,9 +786,9 @@ def hfftn(x, s=None, axes=None, norm="backward", name=None):
 
     This function calculates the n-D discrete Fourier transform of Hermite symmetric
     complex input on any axis in M-D array by fast Fourier transform (FFT).
-    In other words, ``ihfftn(hfftn(x, s)) == x is within the numerical accuracy range.
+    In other words, ``ihfftn(hfftn(x, s)) == x`` is within the numerical accuracy range.
     (``s`` here are ``x.shape`` and ``s[-1] = x.shape[- 1] * 2 - 1``. This is necessary
-    for the same reason that ``irfft` requires ``x.shape``.)
+    for the same reason that ``irfft`` requires ``x.shape``.)
 
     Args:
         x (Tensor): The input data. It's a Tensor type.