本文整理汇总了Python中tensorflow.python.ops.init_ops._compute_fans函数的典型用法代码示例。如果您正苦于以下问题：Python _compute_fans函数的具体用法？Python _compute_fans怎么用？Python _compute_fans使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了_compute_fans函数的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_he_normal
def test_he_normal(self):
tensor_shape = (5, 6, 4, 2)
with self.test_session():
fan_in, _ = init_ops._compute_fans(tensor_shape)
scale = np.sqrt(2. / fan_in)
self._runner(keras.initializers.he_normal(seed=123), tensor_shape,
target_mean=0., target_std=None, target_max=2 * scale)示例2: test_he_uniform
def test_he_uniform(self):
tensor_shape = (5, 6, 4, 2)
with self.test_session():
fan_in, _ = init_ops._compute_fans(tensor_shape)
scale = np.sqrt(6. / fan_in)
self._runner(keras.initializers.he_uniform(seed=123), tensor_shape,
target_mean=0., target_max=scale, target_min=-scale)示例3: test_he_uniform
def test_he_uniform(self):
tensor_shape = (5, 6, 4, 2)
with self.cached_session():
fan_in, _ = init_ops._compute_fans(tensor_shape)
std = np.sqrt(2. / fan_in)
self._runner(keras.initializers.he_uniform(seed=123), tensor_shape,
target_mean=0., target_std=std)示例4: test_glorot_normal
def test_glorot_normal(self):
tensor_shape = (5, 6, 4, 2)
with self.cached_session():
fan_in, fan_out = init_ops._compute_fans(tensor_shape)
std = np.sqrt(2. / (fan_in + fan_out))
self._runner(keras.initializers.glorot_normal(seed=123), tensor_shape,
target_mean=0., target_std=std)示例5: test_lecun_normal
def test_lecun_normal(self):
tensor_shape = (5, 6, 4, 2)
with self.test_session():
fan_in, _ = init_ops._compute_fans(tensor_shape)
std = np.sqrt(1. / fan_in)
self._runner(keras.initializers.lecun_normal(seed=123), tensor_shape,
target_mean=0., target_std=std)示例6: test_lecun_uniform
def test_lecun_uniform(self):
tensor_shape = (5, 6, 4, 2)
with self.cached_session():
fan_in, _ = init_ops._compute_fans(tensor_shape)
std = np.sqrt(1. / fan_in)
self._runner(
init_ops.lecun_uniform(seed=123),
tensor_shape,
target_mean=0.,
target_std=std)示例7: test_he_normal
def test_he_normal(self):
tensor_shape = (5, 6, 4, 2)
with self.test_session():
fan_in, _ = init_ops._compute_fans(tensor_shape)
std = np.sqrt(2. / fan_in)
self._runner(
init_ops.he_normal(seed=123),
tensor_shape,
target_mean=0.,
target_std=std)