134 lines
4.1 KiB
Python
134 lines
4.1 KiB
Python
"""
|
|
Copyright (C) 2018-2020 Intel Corporation
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
"""
|
|
|
|
import unittest
|
|
|
|
import numpy as np
|
|
import onnx
|
|
|
|
from extensions.front.onnx.conv_ext import ConvTransposeFrontExtractor
|
|
from mo.graph.graph import Node
|
|
from mo.utils.error import Error
|
|
from mo.utils.unittest.graph import build_graph
|
|
|
|
|
|
class ConvTransposeONNXExtractorTest(unittest.TestCase):
|
|
@staticmethod
|
|
def _create_node(attrs: dict):
|
|
pb = onnx.helper.make_node("ConvTranspose", ["X", "W"], ["Y"], **attrs)
|
|
graph = build_graph({'node_0': {'pb': pb}}, [])
|
|
return Node(graph, 'node_0')
|
|
|
|
@staticmethod
|
|
def _base_attrs():
|
|
# Commonly used attributes in the tests
|
|
# Each test takes these ones and then adds/modifies/deletes particular fields
|
|
return (
|
|
# test input ONNX attributes
|
|
dict(
|
|
pads=[1, 2, 3, 4],
|
|
kernel_shape=[5, 6]
|
|
),
|
|
# reference output Node attributes
|
|
dict(
|
|
type='Deconvolution',
|
|
pad=[[0, 0], [0, 0], [1, 3], [2, 4]],
|
|
bias_term=None,
|
|
output_shape=None,
|
|
output_padding=None,
|
|
dilation=None,
|
|
stride=None,
|
|
output_spatial_shape=None,
|
|
group=1
|
|
)
|
|
)
|
|
|
|
@staticmethod
|
|
def _extract(inp):
|
|
node = __class__._create_node(inp)
|
|
ConvTransposeFrontExtractor.extract(node)
|
|
return node.graph.node[node.id]
|
|
|
|
def _match(self, out, ref):
|
|
for key in ref.keys():
|
|
status = out[key] == ref[key]
|
|
if type(status) in [list, np.ndarray]:
|
|
status = np.all(status)
|
|
self.assertTrue(status, 'Mismatch for field {}, observed: {}, expected: {}'.format(key, out[key], ref[key]))
|
|
|
|
def test_all_valid_default(self):
|
|
inp, ref = self._base_attrs()
|
|
del inp['pads']
|
|
del ref['pad']
|
|
out = self._extract(inp)
|
|
self._match(out, ref)
|
|
|
|
def test_most_used(self):
|
|
inp, ref = self._base_attrs()
|
|
out = self._extract(inp)
|
|
self._match(out, ref)
|
|
|
|
def test_dilation(self):
|
|
inp, ref = self._base_attrs()
|
|
inp['dilations'] = [10, 11]
|
|
ref['dilation'] = [1, 1, 10, 11]
|
|
out = self._extract(inp)
|
|
self._match(out, ref)
|
|
|
|
def test_stride(self):
|
|
inp, ref = self._base_attrs()
|
|
inp['strides'] = [12, 13]
|
|
ref['stride'] = [1, 1, 12, 13]
|
|
out = self._extract(inp)
|
|
self._match(out, ref)
|
|
|
|
def test_group(self):
|
|
inp, ref = self._base_attrs()
|
|
inp['group'] = 14
|
|
ref['group'] = 14
|
|
out = self._extract(inp)
|
|
self._match(out, ref)
|
|
|
|
def test_auto_pad_supported(self):
|
|
inp, ref = self._base_attrs()
|
|
del inp['pads']
|
|
inp['auto_pad'] = 'SAME_UPPER'
|
|
|
|
ref['auto_pad'] = 'same_upper'
|
|
del ref['pad']
|
|
|
|
out = self._extract(inp)
|
|
self._match(out, ref)
|
|
|
|
def test_pads_not_even_invalid(self):
|
|
inp, ref = self._base_attrs()
|
|
inp['pads'] = [1, 2, 3]
|
|
with self.assertRaisesRegex(Error, '.*pads.*not correct.*'):
|
|
out = self._extract(inp)
|
|
|
|
def test_missing_kernel_shape_not_supported(self):
|
|
inp, ref = self._base_attrs()
|
|
del inp['kernel_shape']
|
|
with self.assertRaisesRegex(Error, '.*kernel_shape.*not supported.*'):
|
|
out = self._extract(inp)
|
|
|
|
def test_output_padding(self):
|
|
inp, ref = self._base_attrs()
|
|
inp['output_padding'] = [19, 20]
|
|
ref['output_padding'] = [0, 0, 19, 20]
|
|
out = self._extract(inp)
|
|
self._match(out, ref)
|