def test_caffe_argmax_no_shape(self):
graph = build_graph(nodes_attributes,
[('node_1', 'argmax'),
('argmax', 'node_3'),
('node_3', 'op_output')
],
{'node_3': {'shape': None},
'node_1': {'shape': None},
'argmax': {
'out_max_val': False,
'top_k': 100
}
})
argmax_node = Node(graph, 'argmax')
ArgMaxOp.argmax_infer(argmax_node)
res_shape = graph.node['node_3']['shape']
self.assertIsNone(res_shape)
def test_caffe_argmax_extend_shape(self):
graph = build_graph(nodes_attributes,
[('node_1', 'argmax'),
('argmax', 'node_3'),
('node_3', 'op_output')
],
{'node_3': {'shape': None},
'node_1': {'shape': np.array([1, 3])},
'argmax': {
'out_max_val': True,
'top_k': 100
}
})
argmax_node = Node(graph, 'argmax')
ArgMaxOp.argmax_infer(argmax_node)
exp_shape = np.array([1, 2, 100])
res_shape = graph.node['node_3']['shape']
for i in range(0, len(exp_shape)):
self.assertEqual(exp_shape[i], res_shape[i])
def test_caffe_argmax_axis_negative(self):
graph = build_graph(
nodes_attributes, [('node_1', 'argmax'), ('argmax', 'node_3')], {
'node_3': {
'is_output': True,
'shape': None
},
'node_1': {
'shape': np.array([1, 3, 1025, 2049])
},
'argmax': {
'out_max_val': True,
'top_k': 100,
'axis': -1
}
})
argmax_node = Node(graph, 'argmax')
ArgMaxOp.argmax_infer(argmax_node)
exp_shape = np.array([1, 3, 1025, 100])
res_shape = graph.node['node_3']['shape']
self.assertEqual(argmax_node.axis, 3)
for i in range(0, len(exp_shape)):
self.assertEqual(exp_shape[i], res_shape[i])
