def testComputeRFFromGraphDefUnaligned(self):
graph_def = create_test_network_3().as_graph_def()
input_node = 'input_image'
output_node = 'output'
with self.assertRaises(ValueError):
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node)
def testComputeRFFromGraphDefUnaligned(self):
graph_def = create_test_network_3().as_graph_def()
input_node = 'input_image'
output_node = 'output'
with self.assertRaises(ValueError):
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node)
def testComputeCoordinatesRoundtrip(self):
graph_def = create_test_network_1()
input_node = 'input_image'
output_node = 'output'
rf = receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node)
x = np.random.randint(0, 100, (50, 2))
y = rf.compute_feature_coordinates(x)
x2 = rf.compute_input_center_coordinates(y)
self.assertAllEqual(x, x2)
def testComputeCoordinatesRoundtrip(self):
graph_def = create_test_network_1()
input_node = 'input_image'
output_node = 'output'
rf = receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node)
x = np.random.randint(0, 100, (50, 2))
y = rf.compute_feature_coordinates(x)
x2 = rf.compute_input_center_coordinates(y)
self.assertAllEqual(x, x2)
def testComputeRFFromGraphDefNonSquareRF(self):
graph_def = create_test_network_5().as_graph_def()
input_node = 'input_image'
output_node = 'output'
(receptive_field_x, receptive_field_y, effective_stride_x,
effective_stride_y, effective_padding_x, effective_padding_y) = (
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node))
self.assertEqual(receptive_field_x, 5)
self.assertEqual(receptive_field_y, 7)
self.assertEqual(effective_stride_x, 4)
self.assertEqual(effective_stride_y, 4)
self.assertEqual(effective_padding_x, 0)
self.assertEqual(effective_padding_y, 0)
def testComputeRFFromGraphDefUnaligned2(self):
graph_def = create_test_network_4().as_graph_def()
input_node = 'input_image'
output_node = 'output'
(receptive_field_x, receptive_field_y, effective_stride_x,
effective_stride_y, effective_padding_x, effective_padding_y) = (
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node))
self.assertEqual(receptive_field_x, 3)
self.assertEqual(receptive_field_y, 3)
self.assertEqual(effective_stride_x, 4)
self.assertEqual(effective_stride_y, 4)
self.assertEqual(effective_padding_x, None)
self.assertEqual(effective_padding_y, None)
def testComputeRFFromGraphDefAlignedWithControlDependencies(self):
graph_def = create_test_network_7().as_graph_def()
input_node = 'input_image'
output_node = 'output'
(receptive_field_x, receptive_field_y, effective_stride_x,
effective_stride_y, effective_padding_x, effective_padding_y) = (
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node))
self.assertEqual(receptive_field_x, 3)
self.assertEqual(receptive_field_y, 3)
self.assertEqual(effective_stride_x, 4)
self.assertEqual(effective_stride_y, 4)
self.assertEqual(effective_padding_x, 1)
self.assertEqual(effective_padding_y, 1)
def testComputeRFFromGraphDefNonSquareRF(self):
graph_def = create_test_network_5().as_graph_def()
input_node = 'input_image'
output_node = 'output'
(receptive_field_x, receptive_field_y, effective_stride_x,
effective_stride_y, effective_padding_x, effective_padding_y) = (
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node))
self.assertEqual(receptive_field_x, 5)
self.assertEqual(receptive_field_y, 7)
self.assertEqual(effective_stride_x, 4)
self.assertEqual(effective_stride_y, 4)
self.assertEqual(effective_padding_x, 0)
self.assertEqual(effective_padding_y, 0)
def testComputeRFFromGraphDefUnaligned2(self):
graph_def = create_test_network_4().as_graph_def()
input_node = 'input_image'
output_node = 'output'
(receptive_field_x, receptive_field_y, effective_stride_x,
effective_stride_y, effective_padding_x, effective_padding_y) = (
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node))
self.assertEqual(receptive_field_x, 3)
self.assertEqual(receptive_field_y, 3)
self.assertEqual(effective_stride_x, 4)
self.assertEqual(effective_stride_y, 4)
self.assertEqual(effective_padding_x, None)
self.assertEqual(effective_padding_y, None)
def testComputeRFFromGraphDefStopPropagation(self):
graph_def = create_test_network_6().as_graph_def()
input_node = 'input_image'
output_node = 'output'
# Compute the receptive field but stop the propagation for the random
# uniform variable of the dropout.
(receptive_field_x, receptive_field_y, effective_stride_x,
effective_stride_y, effective_padding_x, effective_padding_y) = (
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node,
['Dropout/dropout/random_uniform']))
self.assertEqual(receptive_field_x, 3)
self.assertEqual(receptive_field_y, 3)
self.assertEqual(effective_stride_x, 4)
self.assertEqual(effective_stride_y, 4)
self.assertEqual(effective_padding_x, 1)
self.assertEqual(effective_padding_y, 1)
def testComputeRFFromGraphDefStopPropagation(self):
graph_def = create_test_network_6().as_graph_def()
input_node = 'input_image'
output_node = 'output'
# Compute the receptive field but stop the propagation for the random
# uniform variable of the dropout.
(receptive_field_x, receptive_field_y, effective_stride_x,
effective_stride_y, effective_padding_x, effective_padding_y) = (
receptive_field.compute_receptive_field_from_graph_def(
graph_def, input_node, output_node,
['Dropout/dropout/random_uniform']))
self.assertEqual(receptive_field_x, 3)
self.assertEqual(receptive_field_y, 3)
self.assertEqual(effective_stride_x, 4)
self.assertEqual(effective_stride_y, 4)
self.assertEqual(effective_padding_x, 1)
self.assertEqual(effective_padding_y, 1)
