如何解决向gitlab添加ssh时权限被拒绝
我正在尝试为gitlov添加一个gitlab的ssh密钥。 我做到了
cmake -DCMAKE_CXX_FLAGS='-std=c++11' ..
我的.ssh / config看起来像这样:
ssh-keygen -t ed25519 -C "my_email"
pbcopy < ~/.ssh/id_ed25519.pub #pasted to pavlovia ssh keys
但是当我这样做时:
Host *
AddKeysToAgent yes
UseKeychain yes
IdentityFile ~/.ssh/id_rsa
Host github.com
AddKeysToAgent yes
UseKeychain yes
IdentityFile ~/.ssh/id_rsa_personal
Host gitlab.com
HostName gitlab.com
PreferredAuthentications publickey
IdentityFile ~/.ssh/id_ed25519
这给了我
ssh -T git@gitlab.com
我在这里做错了什么? 谢谢!
解决方法
糟糕,我发现了...主机应该是git.pavlovia.org
,考虑到import tensorflow as tf
from tensorflow import keras
# Importing all necessary libraries
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Conv2D,MaxPooling2D
from keras.layers import Activation,Dropout,Flatten,Dense
from keras import backend as K
from keras.optimizers import SGD
# Helper libraries
import numpy as np
import matplotlib.pyplot as plt
print(tf.__version__)
trainDirectory = fruits 360/Training"
testDirectory = fruits 360/Test"
train_datagen = ImageDataGenerator(
rescale=1./255,shear_range=0.1,zoom_range=0.1,horizontal_flip=True)
test_datagen = ImageDataGenerator(rescale=1./255)
train_generator = train_datagen.flow_from_directory(
trainDirectory,target_size=(100,100),batch_size=32,class_mode='categorical',shuffle=True)
validation_generator = test_datagen.flow_from_directory(
testDirectory,shuffle=True)
img_width=100
img_height=100
if K.image_data_format() == 'channels_first':
input_shape = (3,img_width,img_height)
else:
input_shape = (img_width,img_height,3)
model = Sequential()
model.add(Conv2D(32,(2,2),input_shape=input_shape))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Conv2D(32,2)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Conv2D(64,2)))
model.add(Flatten())
model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dropout(0.5))
model.add(Dense(1))
model.add(Activation('sigmoid'))
opt = SGD(lr=0.01)
model.compile(loss=keras.losses.CategoricalCrossentropy(),optimizer = opt,metrics=['accuracy'])
model.fit(
train_generator,steps_per_epoch=2000,epochs=3,validation_data=validation_generator,validation_steps=800)
#output
Epoch 1/3
200/200 [==============================] - 34s 172ms/step - loss: 1.1921e-07 - accuracy: 0.2281 -
val_loss: 1.1921e-07 - val_accuracy: 0.0230
Epoch 2/3
200/200 [==============================] - 30s 149ms/step - loss: 1.1921e-07 - accuracy: 0.2254 -
val_loss: 1.1921e-07 - val_accuracy: 0.0296
项将密钥设置为Host *
,我将删除该部分进行测试,以查看相关部分是否适用:
IdentityFile ~/.ssh/id_rsa
请注意,我已经添加了用户,因此您的测试变为:
Host gitlab.com
HostName gitlab.com
PreferredAuthentications publickey
IdentityFile ~/.ssh/id_ed25519
User git
这假设您需要联系GitLab,而不是像ssh -T gitlab.com
这样的私有实例。
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