Question

我正在使用CakePHP 3.如何修复我在error.log文件中一直收到的错误，说明无法找到Controller类Js。页面以及jquery工作得很好。我只是不知道为什么会出现这个错误以及如何解决它。

def deepnn(x):

    x_image = tf.reshape(x, [-1, FLAGS.img_width, FLAGS.img_height, FLAGS.img_channels])
    img_summary = tf.summary.image('Input_images', x_image)

    with tf.variable_scope('Conv_1'):
        W_conv1 = weight_variable([5, 5, FLAGS.img_channels, 32])
        tf.add_to_collection('decay_weights',W_conv1)
        b_conv1 = bias_variable([32])
        h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1,2) + b_conv1)
        h_pool1 = avg_pool_3x3(h_conv1)

    with tf.variable_scope('Conv_2'):
        W_conv2 = weight_variable([5, 5, 32, 32])
        tf.add_to_collection('decay_weights',W_conv2)
        b_conv2 = bias_variable([32])
        h_conv2 = tf.nn.relu(conv2d(h_pool1, W_conv2,2) + b_conv2)
        h_pool2 = avg_pool_3x3(h_conv2)

    with tf.variable_scope('Conv_3'):
        W_conv3 = weight_variable([5, 5, 32, 64])
        tf.add_to_collection('decay_weights',W_conv3)
        b_conv3 = bias_variable([64])
        h_conv3 = tf.nn.relu(conv2d(h_pool2, W_conv3,2) + b_conv3)
        h_pool3 = max_pool_3x3(h_conv3)

    with tf.variable_scope('FC_1'):
        h_pool3_flat = tf.reshape(h_pool3,[-1,4*4*64])
        W_fc1 = weight_variable([4*4*64,64])
        tf.add_to_collection('decay_weights',W_fc1)
        b_fc1 = bias_variable([64])
        h_fc1 = tf.nn.relu(tf.matmul(h_pool3_flat,W_fc1) + b_fc1)

    with tf.variable_scope('FC_2'):
        W_fc2 = weight_variable([64, FLAGS.num_classes])
        tf.add_to_collection('decay_weights',W_fc2)
        b_fc2 = bias_variable([FLAGS.num_classes])
        y_fc2 = tf.matmul(h_fc1, W_fc2) + b_fc2

    with tf.variable_scope('softmax'):
        y_conv = tf.nn.softmax(y_fc2)

    return y_conv, img_summary

def conv2d(x, W,p):
    output = tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='VALID', name='convolution')
    return tf.pad(output, tf.constant([[0,0],[p, p,],[p, p],[0,0]]), "CONSTANT")


def avg_pool_3x3(x):
    output = tf.nn.avg_pool(x, ksize=[1, 3, 3, 1],
                          strides=[1, 2, 2, 1], padding='VALID', name='pooling')
    return tf.pad(output, tf.constant([[0,0],[0, 1,],[0, 1],[0,0]]), "CONSTANT")

def max_pool_3x3(x):
    output = tf.nn.max_pool(x, ksize=[1, 3, 3, 1],
                          strides=[1, 2, 2, 1], padding='VALID', name='pooling2')
    return tf.pad(output, tf.constant([[0,0],[0, 1], [0, 1],[0,0]]), "CONSTANT")

def weight_variable(shape):
    weight_init = tf.random_uniform(shape, -0.05,0.05)
    return tf.Variable(weight_init, name='weights')

def bias_variable(shape):
    bias_init = tf.random_uniform(shape, -0.05,0.05)
    return tf.Variable(bias_init, name='biases')


def main(_):
    tf.reset_default_graph()

    dataset = pickle.load(open('dataset.pkl', 'rb'),encoding='latin1')
    train_dataset = dataset[0]

    learning_rate = 0.01
    current_validation_acc = 1

    with tf.variable_scope('inputs'):
        x = tf.placeholder(tf.float32, [None, FLAGS.img_width * FLAGS.img_height * FLAGS.img_channels])
        y_ = tf.placeholder(tf.float32, [None, FLAGS.num_classes])


    y_conv, img_summary = deepnn(x)


    with tf.variable_scope('softmax_loss'):
        softmax_loss = tf.reduce_mean(tf.negative(tf.log(tf.reduce_sum(tf.multiply(y_conv,y_),1))))

    tf.add_to_collection('losses', softmax_loss)
    loss = tf.add_n(tf.get_collection('losses'), name='total_loss')

    train_step = tf.train.MomentumOptimizer(learning_rate,FLAGS.momentum).minimize(loss)
    correct_prediction = tf.equal(tf.argmax(y_conv, 1), tf.argmax(y_, 1))
    accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32), name='accuracy')
    loss_summary = tf.summary.scalar('Loss', loss)
    acc_summary = tf.summary.scalar('Accuracy', accuracy)

Answer 1

不幸的是，错误消息非常具有误导性。在我的情况下，这是/ js目录的权限问题。我的解决方案是

#docker is the user who executes php
#ec2-user is the group of the code owner
#sudo usermod -aG <User> <Group>
sudo usermod -aG docker ec2-user

更优雅（好）的方式是将用户添加到所有者组。例如：执行用户是docker，但代码目录的所有者是ec2-user（属于ec2-user组）。要以优雅的方式做到这一点，您只需执行以下操作：

{{1}}

不要忘记为用户重新启动终端会话，以使新的组配置生效。

HTH 帕特里克

CakePHP 3 error.log文件 - 缺少JS控制器信息

1 个答案: