本文整理匯總了Python中inception.slim.ops.fc方法的典型用法代碼示例。如果您正苦於以下問題：Python ops.fc方法的具體用法？Python ops.fc怎麽用？Python ops.fc使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類inception.slim.ops的用法示例。
在下文中一共展示了ops.fc方法的11個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: inception_v3_parameters
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def inception_v3_parameters(weight_decay=0.00004, stddev=0.1,
batch_norm_decay=0.9997, batch_norm_epsilon=0.001):
"""Yields the scope with the default parameters for inception_v3.
Args:
weight_decay: the weight decay for weights variables.
stddev: standard deviation of the truncated guassian weight distribution.
batch_norm_decay: decay for the moving average of batch_norm momentums.
batch_norm_epsilon: small float added to variance to avoid dividing by zero.
Yields:
a arg_scope with the parameters needed for inception_v3.
"""
# Set weight_decay for weights in Conv and FC layers.
with scopes.arg_scope([ops.conv2d, ops.fc],
weight_decay=weight_decay):
# Set stddev, activation and parameters for batch_norm.
with scopes.arg_scope([ops.conv2d],
stddev=stddev,
activation=tf.nn.relu,
batch_norm_params={
'decay': batch_norm_decay,
'epsilon': batch_norm_epsilon}) as arg_scope:
yield arg_scope 示例2: testCreateFC
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testCreateFC(self):
height, width = 3, 3
with self.test_session():
inputs = tf.random_uniform((5, height * width * 3), seed=1)
output = ops.fc(inputs, 32)
self.assertEquals(output.op.name, 'FC/Relu')
self.assertListEqual(output.get_shape().as_list(), [5, 32]) 示例3: testCreateFCWithScope
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testCreateFCWithScope(self):
height, width = 3, 3
with self.test_session():
inputs = tf.random_uniform((5, height * width * 3), seed=1)
output = ops.fc(inputs, 32, scope='fc1')
self.assertEquals(output.op.name, 'fc1/Relu') 示例4: testCreateFcCreatesWeightsAndBiasesVars
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testCreateFcCreatesWeightsAndBiasesVars(self):
height, width = 3, 3
inputs = tf.random_uniform((5, height * width * 3), seed=1)
with self.test_session():
self.assertFalse(variables.get_variables('fc1/weights'))
self.assertFalse(variables.get_variables('fc1/biases'))
ops.fc(inputs, 32, scope='fc1')
self.assertTrue(variables.get_variables('fc1/weights'))
self.assertTrue(variables.get_variables('fc1/biases')) 示例5: testReuseVars
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testReuseVars(self):
height, width = 3, 3
inputs = tf.random_uniform((5, height * width * 3), seed=1)
with self.test_session():
ops.fc(inputs, 32, scope='fc1')
self.assertEquals(len(variables.get_variables('fc1')), 2)
ops.fc(inputs, 32, scope='fc1', reuse=True)
self.assertEquals(len(variables.get_variables('fc1')), 2) 示例6: testCreateFCWithoutActivation
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testCreateFCWithoutActivation(self):
height, width = 3, 3
with self.test_session():
inputs = tf.random_uniform((5, height * width * 3), seed=1)
output = ops.fc(inputs, 32, activation=None)
self.assertEquals(output.op.name, 'FC/xw_plus_b') 示例7: testCreateFCWithWD
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testCreateFCWithWD(self):
height, width = 3, 3
with self.test_session() as sess:
inputs = tf.random_uniform((5, height * width * 3), seed=1)
ops.fc(inputs, 32, weight_decay=0.01)
wd = tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES)[0]
self.assertEquals(wd.op.name,
'FC/weights/Regularizer/L2Regularizer/value')
sess.run(tf.global_variables_initializer())
self.assertTrue(sess.run(wd) <= 0.01) 示例8: testCreateFCWithoutWD
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testCreateFCWithoutWD(self):
height, width = 3, 3
with self.test_session():
inputs = tf.random_uniform((5, height * width * 3), seed=1)
ops.fc(inputs, 32, weight_decay=0)
self.assertEquals(
tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES), []) 示例9: testReuseFCWithWD
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testReuseFCWithWD(self):
height, width = 3, 3
with self.test_session():
inputs = tf.random_uniform((5, height * width * 3), seed=1)
ops.fc(inputs, 32, weight_decay=0.01, scope='fc')
self.assertEquals(len(variables.get_variables()), 2)
self.assertEquals(
len(tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES)), 1)
ops.fc(inputs, 32, weight_decay=0.01, scope='fc', reuse=True)
self.assertEquals(len(variables.get_variables()), 2)
self.assertEquals(
len(tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES)), 1) 示例10: testFCWithBatchNorm
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testFCWithBatchNorm(self):
height, width = 3, 3
with self.test_session():
images = tf.random_uniform((5, height * width * 3), seed=1)
with scopes.arg_scope([ops.fc], batch_norm_params={}):
net = ops.fc(images, 27)
net = ops.fc(net, 27)
self.assertEquals(len(variables.get_variables()), 8)
self.assertEquals(len(variables.get_variables('FC/BatchNorm')), 3)
self.assertEquals(len(variables.get_variables('FC_1/BatchNorm')), 3) 示例11: testCreateFCWithWD
# 需要導入模塊: from inception.slim import ops [as 別名]
# 或者: from inception.slim.ops import fc [as 別名]
def testCreateFCWithWD(self):
height, width = 3, 3
with self.test_session() as sess:
inputs = tf.random_uniform((5, height * width * 3), seed=1)
ops.fc(inputs, 32, weight_decay=0.01)
wd = tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES)[0]
self.assertEquals(wd.op.name,
'FC/weights/Regularizer/L2Regularizer/value')
sess.run(tf.initialize_all_variables())
self.assertTrue(sess.run(wd) <= 0.01)