对于非向量化,我们要求得z的值,必须用到for循环,但是当数据量非常庞大的时候,for循环所用的时间会比较多,这个时候可以使用向量运算来提高速度 用python的函数np.dot实现两个向量/矩阵 相乘. SIMD:为了加快深度学习神经网络运算速度,可以使用比CPU运算能力更强大的GPU。事实上,GPU和CPU都有并行指令(parallelization in
for i in range(4): print(i) i = 10 Output: 0 1 2 3 Did you expect the loop to run just once? 💡 Explanation: The assignment statement i = 10 never affects the iterations of the loop because of the way for loops work in Python. Before the beginning of every iteration, the ...
2. More Vectorization Examples 上一部分咱们讲了应该尽可能避免使用for循环而使用向量化矩阵运算。在python的numpy库中,咱们一般使用np.dot()函数来进行矩阵运算。机器学习 咱们将向量化的思想使用在逻辑回归算法上,尽量减小for循环,而只使用矩阵运算。值得注意的是,算法最顶层的迭代训练的for循环是不能替换的。而每次...
loop=None, limit=_DEFAULT_LIMIT, **kwds): if loop is None: loop = events.get_event_loop() else: warnings.warn("The loop argument is deprecated since Python 3.8, " "and scheduled for removal in Python 3.10.", DeprecationWarning, stacklevel=2) reader = StreamReader(limit=limit, loop=lo...
# newline automatically,so reduce the width by one:width-=1height-=3whileTrue:# Main application loop.# Pre-populate the canvaswithblank spaces:canvas={}forxinrange(width):foryinrange(height):canvas[(x,y)]=WHITE# Generate vertical lines:numberOfSegmentsToDelete=0x=random.randint(MIN_X_INCR...
这个游戏的intro方法在游戏loop方法调用之前被调用。例如,看看下面的代码: intro_for_game() MainLoopForGame() 最后,欢迎菜单的输出应该是这样的: 最后,我们的游戏已经准备好分发了。你可能会看到我们的游戏是一个扩展名为.py的Python 文件,它不能在没有安装 Python 的机器上执行。因此,在下一节中,我们将学习...
Thedownload_linkfunction had to be changed pretty significantly. Previously, we were relying onurllibto do the brunt of the work of reading the image for us. Now, to allow our method to work properly with the async programming paradigm, we’ve introduced awhileloop that reads chunks of the...
Just like the Field Calculator the more fields being transferred from one feature class to the other, the more your script will speed up. If the transfer is a simple field for field transfer then the transfer fields can be handled in a for loop. Below is an example of a trans...
Explanation of the code: file_list = os.listdir(path)retrieves a list of all the files in the directory. Theforloop iterates over each file in the directory and removes it usingos.remove(file_path). init_file_path = os.path.join(path, "__init__.py")creates a file path for the_...
Here's another example of an off-policy training loop in TorchRL (assuming that a data collector, a replay buffer, a loss and an optimizer have been instantiated): - for i, (obs, next_obs, action, hidden_state, reward, done) in enumerate(collector): + for i, tensordict in enumerate...