attributeerror

How can I fix this error I downloaded this code from GitHub. predicted_id = tf.multinomial(tf.exp(predictions), num_samples=1)[0][0].numpy() throws the error AttributeError: 'Tensor' object has no attribute 'numpy' Please help me fix this! I used: sess = tf.Session() with sess.as_default(): predicted_id = tf.multinomial(tf.exp(predictions), num_samples=1)[0][0].eval() And i get this error. Someone help me i just want it to work why is this so hard? D:\Python>python TextGenOut.py File "TextGenOut.py", line 72 predicted_id = tf.multinomial(tf.exp(predictions), num_samples=1)[0][0].eval() ^

Context : I'm trying to run another researcher's code - it describes a traffic model for the Bay Area road network, which is subject to seismic hazard. I'm new to Python and therefore would really appreciate some help debugging the following error. Issue : When I try to run the code for the sample data provided with the file, following the instructions in the README, I get the following error. DN0a226926:quick_traffic_model gitanjali$ python mahmodel_road_only.py You are considering 2 ground-motion intensity maps. You are considering 1743 different site locations. You are considering 2

myPythonClient (below) wants to invoke a ringBell function (loaded from a DLL using ctypes ). However, attempting to access ringBell via its name results in an AttributeError . Why? RingBell.h contains namespace MyNamespace { class MyClass { public: static __declspec(dllexport) int ringBell ( void ) ; } ; } RingBell.cpp contains #include <iostream> #include "RingBell.h" namespace MyNamespace { int __cdecl MyClass::ringBell ( void ) { std::cout << "\a" ; return 0 ; } } myPythonClient.py contains from ctypes import * cdll.RingBell[1]() # this invocation works fine cdll.RingBell.ringBell() #

I have updated numpy to 1.14.0. I use Windows 10. I tried to run my code and I got this error: AttributeError: module 'numpy' has no attribute 'square' Here are my imports: %matplotlib inline import matplotlib.pyplot as plt import tensorflow as tf import numpy as np from sklearn.metrics import confusion_matrix import math I removed numpy.py then updated my numpy and it worked! 来源： https://stackoverflow.com/questions/48235169/how-to-fix-attributeerror-module-numpy-has-no-attribute-square

What is the proper way to format dict keys in string? When I do this: >>> foo = {'one key': 'one value', 'second key': 'second value'} >>> "In the middle of a string: {foo.keys()}".format(**locals()) What I expect: "In the middle of a string: ['one key', 'second key']" What I get: Traceback (most recent call last): File "<pyshell#4>", line 1, in <module> "In the middle of a string: {foo.keys()}".format(**locals()) AttributeError: 'dict' object has no attribute 'keys()' But as you can see, my dict has keys: >>> foo.keys() ['second key', 'one key'] You can't call methods in the placeholders. You