fix doc and code format

Author: zhangting2020

python/paddle/profiler/profiler.py

@@ -326,15 +326,14 @@ class Profiler:
 
  import paddle
  import paddle.profiler as profiler
- import numpy as np
  
  class RandomDataset(paddle.io.Dataset):
  def __init__(self, num_samples):
  self.num_samples = num_samples
  
  def __getitem__(self, idx):
- image = np.random.random([100]).astype('float32')
- label = np.random.randint(0, 10 - 1, (1, )).astype('int64')
+ image = paddle.rand(shape=[100], dtype='float32')
+ label = paddle.randint(0, 10, shape=[1], dtype='int64')
  return image, label
  
  def __len__(self):
@@ -534,7 +533,7 @@ def step(self, num_samples: Optional[int]=None):
 
  Args:
  num_samples (int|None, optional): Specifies the batch size of every step of the model
- that is used to compute throughput when timer_only is True. Default: None.
+  that is used to compute throughput when timer_only is True. Default: None.
 
  Examples:
  .. code-block:: python
@@ -584,11 +583,12 @@ def step_info(self, unit=None):
 
  Args:
  unit (string, optional): The unit of input data is only used When `num_samples`
- of `step()` is specified as a number. For example, when it is `images`, the unit
- of throughput is `images/s`. Default: None, the unit of throughput is `samples/s`.
+  of `step()` is specified as a number. For example, when it is `images`, the unit
+  of throughput is `images/s`. Default: None, the unit of throughput is `samples/s`.
 
  Returns:
  string: A string representing the statistic.
+
  Examples:
  .. code-block:: python
  :name: code-example-timer2

python/paddle/profiler/timer.py

@@ -175,6 +175,7 @@ class TimerHook(Hook):
  A hook for recording real-time performance and the summary
  performance of total steps. 
  """
+
  def __init__(self):
  self.start_time = timeit.default_timer()
  self.start_reader = timeit.default_timer()
@@ -409,7 +410,7 @@ def check_if_need_record(self, reader):
  self.current_event.need_record = True
  self.hooks['timer_hook'].start_time = timeit.default_timer()
 
- 
+
 _benchmark_ = Benchmark()