"""
- Copyright (c) 2018 Intel Corporation
+ Copyright (c) 2018-2019 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
nodes_attributes = {'node_1': {'type': 'Identity', 'kind': 'op'},
'argmax': {'type': 'ArgMax', 'kind': 'op'},
- 'node_3': {'type': 'Identity', 'kind': 'op'}
+ 'node_3': {'type': 'Identity', 'kind': 'op'},
+ 'op_output': { 'kind': 'op', 'op': 'OpOutput'}
}
def test_caffe_argmax_axis(self):
graph = build_graph(nodes_attributes,
[('node_1', 'argmax'),
- ('argmax', 'node_3')],
- {'node_3': {'is_output': True, 'shape': None},
+ ('argmax', 'node_3'),
+ ('node_3', 'op_output')
+ ],
+ {'node_3': {'shape': None},
'node_1': {'shape': np.array([1, 3, 1025, 2049])},
'argmax': {
'out_max_val': True,
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},
+ ('argmax', 'node_3'),
+ ('node_3', 'op_output')
+ ],
+ {'node_3': {'shape': None},
'node_1': {'shape': np.array([1, 3, 1025, 2049])},
'argmax': {
'out_max_val': True,
def test_caffe_argmax_no_axis(self):
graph = build_graph(nodes_attributes,
[('node_1', 'argmax'),
- ('argmax', 'node_3')],
- {'node_3': {'is_output': True, 'shape': None},
+ ('argmax', 'node_3'),
+ ('node_3', 'op_output')
+ ],
+ {'node_3': {'shape': None},
'node_1': {'shape': np.array([1, 3, 1025, 2049])},
'argmax': {
'out_max_val': True,
def test_caffe_argmax_extend_shape(self):
graph = build_graph(nodes_attributes,
[('node_1', 'argmax'),
- ('argmax', 'node_3')],
- {'node_3': {'is_output': True, 'shape': None},
+ ('argmax', 'node_3'),
+ ('node_3', 'op_output')
+ ],
+ {'node_3': {'shape': None},
'node_1': {'shape': np.array([1, 3])},
'argmax': {
'out_max_val': True,
def test_caffe_argmax_out_max_val_false(self):
graph = build_graph(nodes_attributes,
[('node_1', 'argmax'),
- ('argmax', 'node_3')],
- {'node_3': {'is_output': True, 'shape': None},
+ ('argmax', 'node_3'),
+ ('node_3', 'op_output')
+ ],
+ {'node_3': {'shape': None},
'node_1': {'shape': np.array([1, 3])},
'argmax': {
'out_max_val': False,
def test_caffe_argmax_no_shape(self):
graph = build_graph(nodes_attributes,
[('node_1', 'argmax'),
- ('argmax', 'node_3')],
- {'node_3': {'is_output': True, 'shape': None},
+ ('argmax', 'node_3'),
+ ('node_3', 'op_output')
+ ],
+ {'node_3': {'shape': None},
'node_1': {'shape': None},
'argmax': {
'out_max_val': False,