python类moving_average_variables()的实例源码

ops_test.py 文件源码 项目:tensorflow_web_deploy 作者: hetaoaoao 项目源码 文件源码 阅读 28 收藏 0 点赞 0 评论 0
def testCreateVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images)
      beta = variables.get_variables_by_name('beta')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:tensorflow_web_deploy 作者: hetaoaoao 项目源码 文件源码 阅读 24 收藏 0 点赞 0 评论 0
def testCreateVariablesWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      beta = variables.get_variables_by_name('beta')[0]
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:tensorflow_web_deploy 作者: hetaoaoao 项目源码 文件源码 阅读 28 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=True)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:tensorflow_web_deploy 作者: hetaoaoao 项目源码 文件源码 阅读 26 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithoutScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=False)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:tensorflow_web_deploy 作者: hetaoaoao 项目源码 文件源码 阅读 25 收藏 0 点赞 0 评论 0
def testMovingAverageVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:inception_v3 作者: Cyber-Neuron 项目源码 文件源码 阅读 27 收藏 0 点赞 0 评论 0
def testCreateVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images)
      beta = variables.get_variables_by_name('beta')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:inception_v3 作者: Cyber-Neuron 项目源码 文件源码 阅读 26 收藏 0 点赞 0 评论 0
def testCreateVariablesWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      beta = variables.get_variables_by_name('beta')[0]
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:inception_v3 作者: Cyber-Neuron 项目源码 文件源码 阅读 34 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=True)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:inception_v3 作者: Cyber-Neuron 项目源码 文件源码 阅读 27 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithoutScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=False)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:inception_v3 作者: Cyber-Neuron 项目源码 文件源码 阅读 28 收藏 0 点赞 0 评论 0
def testMovingAverageVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:TensorFlowOnSpark 作者: yahoo 项目源码 文件源码 阅读 30 收藏 0 点赞 0 评论 0
def testCreateVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images)
      beta = variables.get_variables_by_name('beta')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:TensorFlowOnSpark 作者: yahoo 项目源码 文件源码 阅读 25 收藏 0 点赞 0 评论 0
def testCreateVariablesWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      beta = variables.get_variables_by_name('beta')[0]
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:TensorFlowOnSpark 作者: yahoo 项目源码 文件源码 阅读 25 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=True)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:TensorFlowOnSpark 作者: yahoo 项目源码 文件源码 阅读 28 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithoutScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=False)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:TensorFlowOnSpark 作者: yahoo 项目源码 文件源码 阅读 30 收藏 0 点赞 0 评论 0
def testMovingAverageVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:the-neural-perspective 作者: johnsonc 项目源码 文件源码 阅读 28 收藏 0 点赞 0 评论 0
def testCreateVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images)
      beta = variables.get_variables_by_name('beta')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:the-neural-perspective 作者: johnsonc 项目源码 文件源码 阅读 26 收藏 0 点赞 0 评论 0
def testCreateVariablesWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      beta = variables.get_variables_by_name('beta')[0]
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(beta.op.name, 'BatchNorm/beta')
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:the-neural-perspective 作者: johnsonc 项目源码 文件源码 阅读 24 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=True)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')[0]
      self.assertEquals(gamma.op.name, 'BatchNorm/gamma')
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:the-neural-perspective 作者: johnsonc 项目源码 文件源码 阅读 29 收藏 0 点赞 0 评论 0
def testCreateVariablesWithoutCenterWithoutScale(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, center=False, scale=False)
      beta = variables.get_variables_by_name('beta')
      self.assertEquals(beta, [])
      gamma = variables.get_variables_by_name('gamma')
      self.assertEquals(gamma, [])
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')
ops_test.py 文件源码 项目:the-neural-perspective 作者: johnsonc 项目源码 文件源码 阅读 42 收藏 0 点赞 0 评论 0
def testMovingAverageVariables(self):
    height, width = 3, 3
    with self.test_session():
      images = tf.random_uniform((5, height, width, 3), seed=1)
      ops.batch_norm(images, scale=True)
      moving_mean = tf.moving_average_variables()[0]
      moving_variance = tf.moving_average_variables()[1]
      self.assertEquals(moving_mean.op.name, 'BatchNorm/moving_mean')
      self.assertEquals(moving_variance.op.name, 'BatchNorm/moving_variance')


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