def test2_random_binomial_p(self,mock_binomial,mock_random_streams):
mock_random_streams.return_value = self.rs
mock_binomial.return_value = self.input_ndarray
self.random_layer = rl(
num_neurons=10,
id = self.random_layer_name,
distribution = 'binomial',
options = {'p':0.5},
verbose = self.verbose
)
self.assertEqual(self.random_layer.id,self.random_layer_name)
self.assertTrue(numpy.allclose(self.random_layer.output,self.input_ndarray))
def test4_random_uniform_limits(self,mock_uniform,mock_random_streams):
mock_random_streams.return_value = self.rs
mock_uniform.return_value = self.input_ndarray
self.random_layer = rl(
num_neurons=10,
id = self.random_layer_name,
distribution = 'uniform',
options = {'limits':(0,1)},
verbose = self.verbose
)
self.assertEqual(self.random_layer.id,self.random_layer_name)
self.assertTrue(numpy.allclose(self.random_layer.output,self.input_ndarray))
def test7_random_gaussian_mu_sigma(self,mock_normal,mock_random_streams):
mock_random_streams.return_value = self.rs
mock_normal.return_value = self.input_ndarray
self.random_layer = rl(
num_neurons=10,
id = self.random_layer_name,
distribution = 'gaussian',
options = {'mu':0,'sigma':1},
verbose = self.verbose
)
self.assertEqual(self.random_layer.id,self.random_layer_name)
self.assertTrue(numpy.allclose(self.random_layer.output,self.input_ndarray))