向gitlab添加ssh时权限被拒绝

问题描述

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 [e-mail]

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。