我正在尝试安装tensorflow,但它需要安装Python 3.6,我只安装了Python 3.7.我尝试使用brew和pyenv进行切换,但它不起作用.
有谁知道解决这个问题的方法?
我安装了TensorFlow 1.10.1,但是当我尝试导入TensorFlow时,它说我需要TensorFlow版本1.10.0。因此,我安装了它,现在收到以下警告:
>>> import tensorflow
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' …Run Code Online (Sandbox Code Playgroud) 我想安装和使用 TensorFlow 2.0。我有一台装有 Windows 10 的 PC、一个 Geforce GTX 1080 Ti GPU 和一个不支持 AVX的旧Intel Xeon X5660 CPU。
现在,我的问题是每当我尝试在这台机器上运行任何 TensorFlow 代码时都会出现 DLL 导入错误。我知道这个存储库为传统 CPU 提供解决方案,但不幸的是我在那里找不到任何 TensorFlow 2.0 包。
任何帮助将不胜感激。谢谢你。
我正在尝试将 Conv1D 图层应用于具有数字数据集的分类模型。我的模型的神经网络如下:
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Conv1D(8,kernel_size = 3, strides = 1,padding = 'valid', activation = 'relu',input_shape = (14999,7)))
model.add(tf.keras.layers.Conv1D(16,kernel_size = 3, strides = 1,padding = 'valid', activation = 'relu'))
model.add(tf.keras.layers.MaxPooling1D(2))
model.add(tf.keras.layers.Dropout(0.2))
model.add(tf.keras.layers.Conv1D(32,kernel_size = 3, strides = 1,padding = 'valid', activation = 'relu'))
model.add(tf.keras.layers.Conv1D(64,kernel_size = 3, strides = 1,padding = 'valid', activation = 'relu'))
model.add(tf.keras.layers.MaxPooling1D(2))
model.add(tf.keras.layers.Dropout(0.2))
model.add(tf.keras.layers.Conv1D(128,kernel_size = 3, strides = 1,padding = 'valid', activation = 'relu'))
model.add(tf.keras.layers.Conv1D(256,kernel_size = 3, strides = 1,padding = 'valid', activation = 'relu'))
model.add(tf.keras.layers.MaxPooling1D(2))
model.add(tf.keras.layers.Dropout(0.2)) …Run Code Online (Sandbox Code Playgroud) machine-learning deep-learning keras tensorflow multiclass-classification
我已将我的项目 Xamarin.Forms NuGet 包从版本 2.5 更新到 3.5。更新后,我的 Android 项目出现错误:
命名空间“Xamarin.Forms.Platform”中不存在类型或命名空间名称“Android”(您是否缺少程序集引用?)
到目前为止我尝试过的:
我开发了一个原生的Xamarin项目,我现在面临着一些Xamarin.Android的问题.每当我尝试启动我的应用程序时,我遇到以下异常并且应用程序崩溃.这是异常消息:
此程序集的可移植版本中未实现此功能.您应该从主应用程序项目中引用NuGet包,以引用特定于平台的实现.
它一直工作正常,但突然我收到此消息,我无法在网上找到任何有关此信息.
我在使用 Spyder 和 Anaconda 时遇到这些错误。我的 Python 脚本仅适用于 Anaconda 提示符,其他任何东西都不起作用。这是整个错误:
_cffi_ext.c
anaconda3\lib\site-packages\zmq\backend\cffi\__pycache__\_cffi_ext.c(266): fatal error C1083: Cannot open include file: 'sys/un.h': No such file or directory
Traceback (most recent call last):
File "C:\Users\harsh_c1pywie\anaconda3\Scripts\spyder-script.py", line 6, in <module>
from spyder.app.start import main
File "C:\Users\harsh_c1pywie\anaconda3\lib\site-packages\spyder\app\start.py", line 22, in <module>
import zmq
File "C:\Users\harsh_c1pywie\anaconda3\lib\site-packages\zmq\__init__.py", line 47, in <module>
from zmq import backend
File "C:\Users\harsh_c1pywie\anaconda3\lib\site-packages\zmq\backend\__init__.py", line 40, in <module>
reraise(*exc_info)
File "C:\Users\harsh_c1pywie\anaconda3\lib\site-packages\zmq\utils\sixcerpt.py", line 34, in reraise
raise value
File "C:\Users\harsh_c1pywie\anaconda3\lib\site-packages\zmq\backend\__init__.py", line 27, in <module>
_ns = …Run Code Online (Sandbox Code Playgroud) 在 Visual Studio Code 中,左侧那个看起来像烧瓶的测试按钮在我的机器上消失了。我尝试运行命令“测试:运行所有测试”,但收到一条消息“在此工作区中找不到测试。您可能需要安装测试提供程序扩展”。我是否只是不小心卸载了 VSCode 中的测试支持?我仍然可以pytest从命令行运行并且工作正常。
我正在比较用于 DTW 计算的库dtaidistance、fastdtw和cdtw。这是我的代码:
from fastdtw import fastdtw
from cdtw import pydtw
import fastdtw
import array
from timeit import default_timer as timer
from dtaidistance import dtw, dtw_visualisation as dtwvis
s1 = mySampleSequences[0] # first sample sequence consisting of 3000 samples
s2 = mySampleSequences[1] # second sample sequence consisting of 3000 samples
start = timer()
distance1 = dtw.distance(s1, s2)
end = timer()
start2 = timer()
distance2 = dtw.distance_fast(array.array('d',s1),array.array('d',s2))
end2 = timer()
start3 = timer()
distance3, path3 …Run Code Online (Sandbox Code Playgroud) 我正在尝试运行我的 Python 程序,这些是我要导入的模块:
\n\n\nfrom tkinter import *\nfrom functools 导入部分
\n
\nimport numpy as np import\nmatplotlib matplotlib.use("TkAgg")
\nfrom matplotlib.figure 导入图\nfrom matplotlib.backends.backend_tkagg\nimport FigureCanvasTkAgg, NavigationToolbar2Tk
我总是收到以下错误消息:
\nC:\\Users\\HP\\anaconda3\\lib\\site-packages\\numpy\\__init__.py:138: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service\n from . import _distributor_init\nTraceback (most recent call last):\n File "ASRS.py", line 12, in <module>\n from …Run Code Online (Sandbox Code Playgroud) python ×5
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xamarin ×2
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android ×1
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