def test_tf_concat_infer_negative_axis(self):
graph = build_graph(
nodes_attributes, [('node_1', 'concat'), ('node_2', 'concat'),
('concat', 'node_3'), ('node_3', 'op_output')],
{
'node_3': {
'shape': None
},
'node_1': {
'shape': np.array([1, 3, 227, 227])
},
'node_2': {
'shape': np.array([1, 3, 227, 227])
},
'concat': {
'axis': -1
}
})
concat_node = Node(graph, 'concat')
concat_infer(concat_node)
exp_shape = np.array([1, 3, 227, 454])
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_concat_value_infer(self, value1, value2, output_value, axis):
graph = build_graph(
nodes_attributes, [('node_1', 'concat'), ('node_2', 'concat'),
('concat', 'node_3'), ('node_3', 'op_output')],
{
'node_3': {
'shape': output_value.shape,
'value': output_value
},
'node_1': {
'shape': value1.shape,
'value': value1
},
'node_2': {
'shape': value2.shape,
'value': value2
},
'concat': {
'axis': axis
}
})
concat_node = Node(graph, 'concat')
concat_infer(concat_node)
res_value = graph.node['node_3']['value']
self.assertTrue(strict_compare_tensors(output_value, res_value))
def test_tf_concat_infer_no_shape(self):
graph = build_graph(nodes_attributes,
[('node_1', 'concat'),
('node_2', 'concat'),
('concat', 'node_3'),
('node_3', 'op_output')
],
{'node_3': {'shape': None},
'node_1': {'shape': np.array([1, 3, 227, 227])},
'node_2': {'shape': None},
'concat': {'axis': 2}
})
concat_node = Node(graph, 'concat')
concat_infer(concat_node)
res_shape = graph.node['node_3']['shape']
self.assertIsNone(res_shape)
def test_concat_infer_no_shape(self):
graph = build_graph(
nodes_attributes, [('node_1', 'concat'), ('node_2', 'concat'),
('concat', 'node_3'), ('node_3', 'op_output')],
{
'node_3': {
'shape': None
},
'node_1': {
'shape': np.array([1, 3, 227, 227])
},
'node_2': {
'shape': None
},
'concat': {
'axis': 2
}
})
concat_node = Node(graph, 'concat')
with self.assertRaisesRegex(
Error, "One of the input shapes is not defined for node *"):
concat_infer(concat_node)
def test_concat_infer(self, shape1, shape2, output_shape, axis):
graph = build_graph(
nodes_attributes, [('node_1', 'concat'), ('node_2', 'concat'),
('concat', 'node_3'), ('node_3', 'op_output')],
{
'node_3': {
'shape': None,
'value': None
},
'node_1': {
'shape': shape_array(shape1)
},
'node_2': {
'shape': shape_array(shape2)
},
'concat': {
'axis': axis
}
})
concat_node = Node(graph, 'concat')
concat_infer(concat_node)
res_shape = graph.node['node_3']['shape']
self.assertTrue(strict_compare_tensors(output_shape, res_shape))
def test_concat_infer_not_match(self):
graph = build_graph(
nodes_attributes, [('node_1', 'concat'), ('node_2', 'concat'),
('concat', 'node_3'), ('node_3', 'op_output')],
{
'node_3': {
'shape': None,
'value': None
},
'node_1': {
'shape': np.array([1, 3, 227, 227])
},
'node_2': {
'shape': np.array([1, 2, 227, 227])
},
'concat': {
'axis': 2
}
})
concat_node = Node(graph, 'concat')
with self.assertRaisesRegex(
Error, "Concat input shapes do not match for node*"):
concat_infer(concat_node)
