def test_sigmoid(self):
# make sure its the same as tensorflow
x = np.array([-1., 2., 3., 4.])
tf_x = tf.nn.sigmoid(tf.convert_to_tensor(x))
astroNN_x = sigmoid(x)
npt.assert_array_equal(tf_x.eval(session=get_session()), astroNN_x)
# make sure identity transform
npt.assert_array_almost_equal(sigmoid_inv(sigmoid(x)), x)
# for list
# make sure its the same as tensorflow
x = [-1., 2., 3., 4.]
astroNN_x_list = sigmoid(x)
npt.assert_array_equal(astroNN_x_list, astroNN_x)
# make sure identity transform
npt.assert_array_almost_equal(sigmoid_inv(sigmoid(x)), x)
# for float
# make sure its the same as tensorflow
x = 0.
astroNN_x = sigmoid(x)
npt.assert_array_equal(0.5, astroNN_x)
# make sure identity transform
npt.assert_array_almost_equal(sigmoid_inv(sigmoid(x)), x)
def test_sigmoid(self):
# make sure its the same as tensorflow
x = np.array([-1., 2., 3., 4.])
astroNN_x = sigmoid(x)
with tf.device("/cpu:0"), context.eager_mode():
tf_x = tf.nn.sigmoid(tf.convert_to_tensor(x))
npt.assert_array_equal(tf_x.numpy(), astroNN_x)
# make sure identity transform
npt.assert_array_almost_equal(sigmoid_inv(sigmoid(x)), x)
# for list
# make sure its the same as tensorflow
x = [-1., 2., 3., 4.]
astroNN_x_list = sigmoid(x)
npt.assert_array_equal(astroNN_x_list, astroNN_x)
# make sure identity transform
npt.assert_array_almost_equal(sigmoid_inv(sigmoid(x)), x)
# for float
# make sure its the same as tensorflow
x = 0.
astroNN_x = sigmoid(x)
npt.assert_array_equal(0.5, astroNN_x)
# make sure identity transform
npt.assert_array_almost_equal(sigmoid_inv(sigmoid(x)), x)