Python conv2d Examples

Example #1

File: model.py Project: hologerry/pix2pix-flow

def f(name, h, width, n_out=None):
    n_out = n_out or int(h.get_shape()[3])
    with tf.variable_scope(name):
        h = tf.nn.relu(Z.conv2d("l_1", h, width))
        h = tf.nn.relu(Z.conv2d("l_2", h, width, filter_size=[1, 1]))
        h = Z.conv2d_zeros("l_last", h, n_out)
    return h

Example #2

File: model.py Project: chinatian/glow

def f(name, h, width, n_out=None):
    n_out = n_out or int(h.get_shape()[3])
    with tf.variable_scope(name):
        h = tf.nn.relu(Z.conv2d("l_1", h, width))
        h = tf.nn.relu(Z.conv2d("l_2", h, width, filter_size=[1, 1]))
        h = Z.conv2d_zeros("l_last", h, n_out)
    return h

Example #3

File: model.py Project: hologerry/pix2pix-flow

def f_resnet(name, h, width, n_out=None):
    n_out = n_out or int(h.get_shape()[3])
    with tf.variable_scope(name):
        h = tf.nn.relu(Z.conv2d("l_1", h, width))
        h = Z.conv2d_zeros("l_2", h, n_out)
    return h

Example #4

File: model.py Project: chinatian/glow

def f_resnet(name, h, width, n_out=None):
    n_out = n_out or int(h.get_shape()[3])
    with tf.variable_scope(name):
        h = tf.nn.relu(Z.conv2d("l_1", h, width))
        h = Z.conv2d_zeros("l_2", h, n_out)
    return h