在 tensorflow 2 中导入 tensorflow 模块很慢

本文介绍了在 tensorflow 2 中导入 tensorflow 模块很慢的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我正在使用 ssd 并导入 TensorFlow.我有 4 ghz 8 核 pc 和 16 gb ram(处理器 AMD FX(tm)-8350 八核处理器，4000 Mhz，4 核，8 逻辑处理器).TensorFlow 需要 10-12 秒才能导入.

I am using an ssd and importing TensorFlow. I have 4 ghz 8 core pc with 16 gb ram (Processor AMD FX(tm)-8350 Eight-Core Processor, 4000 Mhz, 4 Core(s), 8 Logical Processor(s)). TensorFlow takes 10-12 seconds to import.

有没有办法选择性地导入部分 TensorFlow?

Is there any way to selectively import parts of TensorFlow?

RAM 磁盘有帮助吗?

Would a RAM disk help?

是否还有其他类似的工作要做:导入 tensorflow.contrib 很慢使用 Python 3，因为 inspect.stack 很慢 #11829?

Is there any more work being done on stuff like this or: Slow to import tensorflow.contrib with Python 3 because inspect.stack is slow #11829?

Python 3.6.8 :: Anaconda, Inc. on windoze 8.1.Dos 框，cygwin bash 慢 12 秒.vs code bash/power shell 最快 8 秒.在 .py 文件中导入，例如: import tensorflow as tf.不确定环境是什么.

Python 3.6.8 :: Anaconda, Inc. on windoze 8.1.Dos box, cygwin bash are slow at 12 seconds.Vs code bash/power shell is fastest at 8 seconds.Importing in a .py file like: import tensorflow as tf.Not sure what environments are.

编辑 2:

PS D:\ray\dev\ml\ss1> conda info --envs
# conda environments:
#
base                  *  D:\Anaconda3
first                    D:\Anaconda3\envs\first
                         d:\Anaconda3
first                    d:\Anaconda3\envs\first

编辑 3:使用下面的代码，我在命令提示符中得到 9-10 秒:

Edit 3: Using the code below, i get 9-10 seconds in a command prompt:

(tf2) D:\ray\dev\ml\ss1>python timeimport.py
 import tensorflow: 1 units, 9.796 seconds. 0.1 units/second.
version: 2.0.0

(tf2) D:\ray\dev\ml\ss1>python timeimport.py
 import tensorflow: 1 units, 9.448 seconds. 0.11 units/second.
version: 2.0.0

(tf2) D:\ray\dev\ml\ss1>python timeimport.py
 import tensorflow: 1 units, 9.421 seconds. 0.11 units/second.
version: 2.0.0


from __future__ import absolute_import, division, print_function, unicode_literals
from contextlib import contextmanager
from timeit import default_timer as timer
@contextmanager
def timing(description: str,units=1,title="",before="") -> None:
    if before!="":
        print(before,flush=True)
    start = timer()
    yield
    dt = timer() - start
    frequency=0 if units is None else (units/dt)
    if units is None:
        if title is None: print(f"{description}: {dt} seconds.",flush=True)
        else: print(f"{title} {description}: {dt} seconds.",flush=True)
    else:
        #"{0:.2f}".format(a)
        dt=round(dt,3)
        frequency=round(frequency,2)
        print(f"{title} {description}: {str(units)} units, {dt} seconds. {str(frequency)} units/second.",flush=True)
    return dt
with timing("import tensorflow",1):
    import tensorflow as tf
print("version:",tf.__version__)

编辑 4:关闭窗口 degender，我得到 8-9 秒而不是 9-10 秒.

Edit 4: turning of windows degender, i get 8-9 seconds instead of 9-10 seconds.

编辑 5:我找到了一个解决方法:

Edit 5: i found a workaround:

制作笔记本:

import tensorflow as tf
print(tf.__version__)
import tensorflow_datasets as tfds
import code.py

然后在您的 code.py 中:

then in your code.py:

print("enter imported code")
import tensorflow as tf
print(tf.__version__)

# !pip install -q tensorflow-datasets
import tensorflow_datasets as tfds
import matplotlib.pyplot as plt
import numpy as np

#tfds.list_builders()
ds = tfds.load('mnist', split='train', shuffle_files=True)
...

所以你运行笔记本一次，它需要 10 秒.下次风一样的.

so you run the notebook once and it takes 10 seconds. next time it goes like the wind.

6600U

在 tensorflow 2 中导入 tensorflow 模块很慢

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