我想在朱莉娅中使用。
以这种方式,我用:
using PyCall
@pyimport tensorflow
但是有以下错误:
ERROR: PyError (ccall(@pysym(:PyImport_ImportModule), PyPtr, (Cstring,), name)
The Python package tensorflow could not be found by pyimport. Usually this means
that you did not install tensorflow in the Python version being used by PyC
我正在尝试学习TensorFlow,但我有一个问题。我像在官方网站上一样导入TensorFlow,但是我犯了一个错误。
import pandas as pd
import numpy as np
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
回溯(最近一次调用):
文件"C:\Users\Koray\Desktop\Python\main.py",第4行,在
从tensorflow进口角
ImportError:无法从“tensorflow”导入
下面的代码片段在第二行崩溃,因此调用了tf.train.latest_checkpoint):
import tensorflow as tf
from tensorflow.contrib.layers.python.layers import batch_norm as batch_norm
import quaternion
latest_checkpoint = tf.train.latest_checkpoint('checkpoints/default_model/run_000')
print(latest_checkpoint)
它的输出是:
I tensor
我已经为我的机器学习项目导入了以下库,但是当我试图在命令提示符下运行我的模型时.出现了问题
from tensorflow.python.keras import Model
from tensorflow.python.keras.layers import Layer, Input, Conv2D, MaxPooling2D, Conv2DTranspose, concatenate, Lambda
from tensorflow.python.keras.initializers import TruncatedNormal
from keras.optimizers import
相关:Import TensorFlow contrib module is slow in TensorFlow 1.2.1也:What can cause the TensorFlow import to be so slow? 我正在使用固态硬盘并导入TensorFlow。我有4 ghz 8核pc和16 gb内存(处理器AMD FX(tm)-8350八核处理器,4000 Mhz,4核,8个逻辑处理器)。导入TensorFlow需要10-12秒。 有没有办法选择性地导入TensorFlow的某些部分? RAM磁盘会有帮助吗? 像这样的东西还有更多的工作要做吗?或者:Slow to imp
当我输入python并尝试导入(例如numpy或tensorflow )时,没有错误,但是当我运行导入numpy的脚本时,它会抛出这个错误:
Traceback (most recent call last):
File ".\org.py", line 1, in <module>
import tensorflow as tf
File "C:\Python3\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
from tensor
当我尝试import tensorflow_probability时,我会得到以下错误:
Traceback (most recent call last):
File "PATH", line 1, in <module>
import tensorflow_probability
File "PATH", line 75, in <module>
from tensorflow_probability.python import * # pylint: disable=wildcard-import
Fi
我已经在我的Ubuntu系统上安装了带有Python扩展的VSCode。我还正确安装了TensorFlow 0.9、CUDA 7.5和cuDNN库。
但是,当我使用VSCode调试tensorflow程序时,它将给出导入tensorflow (导入tensorflow)的错误,如下所示:
ImportError: libcudart.so.7.5: cannot open shared object file: No such file or directory
我可以肯定所有的库都安装成功了。因为我可以在VSCode中调试和运行Python程序,也可以使用Ubuntu终端运行tensorfl