def test_image_scaler_test_8(self):
graph = build_graph(nodes_attributes, [
('placeholder_1', 'im_scaler'),
('im_scaler', 'last'),
], {
'placeholder_1': {
'shape': np.array([1, 227, 227, 3])
},
'im_scaler': {
'scale': np.array(1.0),
'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])
},
},
nodes_with_edges_only=True)
graph_ref = build_graph(nodes_attributes, [('placeholder_1', 'last')],
{
'placeholder_1': {
'shape': np.array([1, 227, 227, 3])
},
},
nodes_with_edges_only=True)
graph.graph['layout'] = 'NCHW'
graph.stage = 'front'
replacer = ImageScaler()
replacer.find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'last')
self.assertTrue(flag, resp)
def test_image_scaler_test_1(self):
graph = build_graph(nodes_attributes, [
('placeholder_1', 'placeholder_1_data'),
('placeholder_1_data', 'im_scaler'),
('im_scaler', 'im_scaler_data'),
('im_scaler_data', 'last'),
], {
'placeholder_1_data': {
'shape': np.array([1, 227, 227, 3])
},
'im_scaler': {
'scale': np.array(2.0),
'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])
},
},
nodes_with_edges_only=True)
graph_ref = build_graph(
nodes_attributes, [('placeholder_1', 'placeholder_1_data'),
('placeholder_1_data', 'mul_1'),
('const_mul_1_w', 'mul_1_w'),
('mul_1_w', 'mul_1'), ('mul_1', 'mul_1_data'),
('mul_1_data', 'add_1'),
('const_add_1_w', 'add_1_w'),
('add_1_w', 'add_1'), ('add_1', 'add_1_data'),
('add_1_data', 'last')],
{
'placeholder_1_data': {
'shape': np.array([1, 227, 227, 3])
},
'const_mul_1_w': {
'shape': np.array(2.0).shape,
'value': np.array(2.0)
},
'const_add_1_w': {
'shape': np.array([3, 1, 1]),
'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])
},
},
nodes_with_edges_only=True)
graph.graph['layout'] = 'NCHW'
graph.stage = 'middle'
replacer = ImageScaler()
replacer.find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'last')
self.assertTrue(flag, resp)