with tf.variable_scope('generator', reuse = reuse): org_pose = tf.cast(tf.reshape(org_pose, shape=[-1, 1, 1, org_pose.shape[-1]]), tf.float32) print(org_pose.shape) org_pose = tf.tile(org_pose, [1, x_init.shape[1], x_init.shape[2], 1]) print(org_pose.shape) x ...
AI代码解释 defmixgenerator(x_init,c,org_pose,trg_pose):reuse=len([tfortintf.global_variables()ift.name.startswith('generator')])>0withtf.variable_scope('generator',reuse=reuse):org_pose=tf.cast(tf.reshape(org_pose,shape=[-1,1,1,org_pose.shape[-1]]),tf.float32)print(org_pose.sha...
进行参数设置iftestImg.values():#用于dropout参数层dropout = 1#用于判断哪些参数不需要进行加载skip =[]#分类的类别数numClass = 1000#使用tf.placeholder进行x的输入参数初始化x = tf.placeholder(tf.float32, [1, 227
with tf.variable_scope(layername,reuse=None): # 权重和偏置都提前给一个初始值 Weights = tf.get_variable("weights",[in_size,out_size],initializer=tf.random_normal_initializer(stddev=0.1)) biases = tf.get_variable("biases",[out_size],initializer=tf.random_normal_initializer(mean=0.1,stddev=0...
variable_scope()是作用域,和tf.get_variable()搭配使用 variable_scope也是个作为上下文管理器的角色, 下文管理器:意思就是,在这个管理器下做的事情,会被这个管理器管着。 variable_scope 主要是因为 变量共享 的需求。 矩阵乘法:1 内积拼装法2 外积求和法 ...
with tf.variable_scope('rpn_loss'): 利用smooth_l1_loss_rpn 函数计算边框回归误差 rpn_bbox_loss = losses.smooth_l1_loss_rpn(bbox_pred=rpn_box_pred, bbox_targets=rpn_bbox_targets, label=rpn_labels, sigma=cfgs.RPN_SIGMA)、 # rpn_bbox_loss = tfapi_loss.smooth_l1_loss_rpn(bbox_pre...
tf.Graph().as_default():sess = tf.Session()with sess.as_default():initializer = tf.contrib.layers.xavier_initializer()with tf.variable_scope("model", reuse=None, initializer=initializer):m = network.GRU(is_training=True, word_embeddings=wordembedding, settings=settings)global_step = tf....
relu1 = tf.nn.sigmoid(tf.nn.bias_add(conv1, conv1_biases)) withtf.name_scope('layer2-pool1'): pool1 = tf.nn.max_pool(relu1, ksize=[1,2,2,1], strides=[1,2,2,1], padding='SAME') withtf.variable_scope('layer3-conv2'): ...
with tf.variable_scope('eval_net'): e1 =
2019-12-04 21:04 − tf.name_scope() 在 Tensorflow 当中有两种途径生成变量 variable, 一种是 tf.get_variable(), 另一种是 tf.Variable(). 如果在 tf.name_scope() 的框架下使用这两种方... blueattack 0 504 java.sql.SQLException: Unknown system variable 'query_cache_size' 2019-12-24...