def test1_abstract_layer(self):
self.layer = l(
id = self.abstract_layer_name,
type= "input",
verbose = self.verbose)
self.attributes = self.layer._graph_attributes()
self.assertEqual(self.attributes['id'], self.abstract_layer_name)
def test16_abstract_layer_get_params(self):
self.layer = l(
id = self.abstract_layer_name,
type= "conv",
verbose = self.verbose)
self.layer.params = [self.input_tensor,self.input_tensor]
out = self.layer.get_params(borrow=True,verbose=self.verbose)
self.assertTrue(numpy.allclose(out,[self.input_ndarray,self.input_ndarray]))
def test2_abstract_layer_exception(self):
try:
self.layer = l(
id = self.abstract_layer_name,
type= "input",
verbose = self.verbose)
self.params = self.layer.get_params()
except Exception,c:
self.assertEqual(c.message,self.exception_msg)
def test17_abstract_layer_get_params(self):
self.layer = l(
id = self.abstract_layer_name,
type= "conv",
verbose = self.verbose)
self.val = T.dot(self.input_tensor,self.input_tensor)
self.layer.params = [self.val]
out = self.layer.get_params(borrow=True,verbose=self.verbose)
self.assertTrue(numpy.allclose(out,self.val.eval()))
def test19_abstract_layer_graph_attributes(self):
self.layer = l(
id = self.abstract_layer_name,
type= "input",
verbose = self.verbose)
self.layer.output_shape = self.input_shape
self.layer.num_neurons = 10
self.layer.activation = ('Relu', 'maxout')
self.attributes = self.layer._graph_attributes()
self.assertEqual(self.attributes['id'], self.abstract_layer_name)
self.assertEqual(self.attributes['num_neurons'], 10)
def test18_abstract_layer_get_params(self):
self.layer = l(
id = self.abstract_layer_name,
type= "conv",
verbose = self.verbose)
self.val = T.dot(self.input_tensor,self.input_tensor)
self.layer.params = [self.val]
self.layer.output_shape = self.input_shape
self.layer.num_neurons = 10
self.layer.activation = ('ReLu')
out = self.layer.get_params(borrow=True,verbose=self.verbose)
self.assertTrue(numpy.allclose(out,self.val.eval()))
def test15_abstract_layer_print_layer(self):
self.layer = l(
id = self.abstract_layer_name,
type= "convolution",
verbose = self.verbose)
self.attributes = self.layer._graph_attributes()
self.layer.output_shape = self.input_shape
self.layer.origin = "input"
self.layer.destination = "classifier"
self.layer.batch_norm = False
self.layer.print_layer(prefix = " ", nest = False, last = False, verbose = self.verbose)
self.assertTrue(len(self.layer.prefix)>0)