def test_crop_infer_negative_axis(self):
graph = build_graph(
nodes_attributes, [('node_1', 'crop_1'), ('node_2', 'crop_1'),
('crop_1', 'node_3'), ('node_3', 'op_output')],
{
'node_3': {
'shape': None
},
'node_1': {
'shape': np.array([1, 2, 500, 500])
},
'node_2': {
'shape': np.array([1, 2, 256, 256])
},
'crop_1': {
'axis': -1,
'offset': [0, 0],
'dim': None
}
})
crop_node = Node(graph, 'crop_1')
crop_infer(crop_node)
exp_shape = np.array([1, 2, 500, 256])
res_shape = graph.node['node_3']['shape']
for i in range(0, len(exp_shape)):
self.assertEqual(exp_shape[i], res_shape[i])
self.assertEqual(crop_node.axis, [3])
self.assertEqual(crop_node.offset, [0])
self.assertEqual(crop_node.dim, [256])
def test_crop_infer_out_offset(self):
graph = build_graph(
nodes_attributes, [('node_1', 'crop_1'), ('node_2', 'crop_1'),
('crop_1', 'node_3'), ('node_3', 'op_output')],
{
'node_3': {
'shape': None
},
'node_1': {
'shape': np.array([1, 2, 500, 500])
},
'node_2': {
'shape': np.array([1, 2, 256, 256])
},
'crop_1': {
'axis': 2,
'offset': [300],
'dim': None
}
})
crop_node = Node(graph, 'crop_1')
crop_infer(crop_node)
self.assertIsNone(graph.node['node_3']['shape'])