Vladimir Gavrilov
2b732ec1d7
* Commit. * Fixed element type of scales input in the MO transformation UpsampleToResample. * Fixes in the transformation TFSliceToSliceReplacer. * Fixes in tests. * Small fixes. * Reverted fixes in TFSliceToSliceReplacer. * Small fix. * Added tests for fractional scales in the transformation UpsampleToResample.
231 lines
13 KiB
Python
231 lines
13 KiB
Python
"""
|
|
Copyright (c) 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
|
|
from generator import generator, generate
|
|
|
|
from extensions.middle.UpsampleToResample import UpsampleToResample
|
|
from mo.front.common.partial_infer.utils import int64_array, float32_array
|
|
from mo.utils.ir_engine.compare_graphs import compare_graphs
|
|
from mo.utils.unittest.graph import build_graph
|
|
|
|
graph_node_attrs = {
|
|
'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': np.float32},
|
|
'scales': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': None, 'shape': None},
|
|
'scales_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'upsample': {'type': None, 'kind': 'op', 'op': 'Upsample', 'mode': 'linear'},
|
|
'upsample_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
|
|
}
|
|
|
|
graph_edges = [
|
|
('placeholder', 'placeholder_data'),
|
|
('placeholder_data', 'upsample', {'in': 0}),
|
|
('scales', 'scales_data'),
|
|
('scales_data', 'upsample', {'in': 1}),
|
|
('upsample', 'upsample_data'),
|
|
('upsample_data', 'output'),
|
|
]
|
|
|
|
new_ref_graph_node_attr = {
|
|
'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': np.float32},
|
|
'ss_begin': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([2]), 'shape': int64_array([1])},
|
|
'ss_begin_data': {'kind': 'data', 'value': int64_array([2]), 'shape': int64_array([1])},
|
|
'ss_end': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([4]), 'shape': int64_array([1])},
|
|
'ss_end_data': {'kind': 'data', 'value': int64_array([4]), 'shape': int64_array([1])},
|
|
'ss_stride': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([1]), 'shape': int64_array([1])},
|
|
'ss_stride_data': {'kind': 'data', 'value': int64_array([1]), 'shape': int64_array([1])},
|
|
'strided_slice': {'type': 'StridedSlice', 'kind': 'op', 'op': 'StridedSlice'},
|
|
'strided_slice_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'cast_to_float': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.float},
|
|
'cast_to_float_d': {'kind': 'data', 'value': None, 'shape': None},
|
|
'factor': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([5, 5]), 'shape': int64_array([2])},
|
|
'factor_data': {'kind': 'data', 'value': int64_array([5, 5]), 'shape': int64_array([2])},
|
|
'shapeof': {'type': 'ShapeOf', 'kind': 'op', 'op': 'ShapeOf'},
|
|
'shapeof_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'mul': {'type': 'Multiply', 'kind': 'op', 'op': 'Multiply'},
|
|
'mul_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'cast_to_int': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.int32},
|
|
'cast_to_int_d': {'kind': 'data', 'shape': None, 'value': None},
|
|
'axes_const': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': None, 'shape': None},
|
|
'axes_const_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'scales': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([5, 5]), 'shape': int64_array([2])},
|
|
'scales_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'interpolate': {'type': 'Interpolate', 'kind': 'op', 'op': 'Interpolate', 'axes': None},
|
|
'interpolate_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
|
|
}
|
|
|
|
new_ref_graph_edges = [
|
|
('placeholder', 'placeholder_data'),
|
|
('placeholder_data', 'shapeof', {'in': 0, 'out': 0}),
|
|
('placeholder_data', 'interpolate', {'in': 0, 'out': 0}),
|
|
('ss_begin', 'ss_begin_data'),
|
|
('ss_begin_data', 'strided_slice', {'in': 1, 'out': 0}),
|
|
('ss_end', 'ss_end_data'),
|
|
('ss_end_data', 'strided_slice', {'in': 2, 'out': 0}),
|
|
('ss_stride', 'ss_stride_data'),
|
|
('ss_stride_data', 'strided_slice', {'in': 3, 'out': 0}),
|
|
('strided_slice', 'strided_slice_data'),
|
|
('strided_slice_data', 'cast_to_float'),
|
|
('cast_to_float', 'cast_to_float_d'),
|
|
('shapeof', 'shapeof_data'),
|
|
('shapeof_data', 'strided_slice', {'in': 0, 'out': 0}),
|
|
('factor', 'factor_data'),
|
|
('cast_to_float_d', 'mul', {'in': 0, 'out': 0}),
|
|
('factor_data', 'mul', {'in': 1, 'out': 0}),
|
|
('mul', 'mul_data'),
|
|
('mul_data', 'cast_to_int'),
|
|
('cast_to_int', 'cast_to_int_d'),
|
|
('cast_to_int_d', 'interpolate', {'in': 1, 'out': 0}),
|
|
('axes_const', 'axes_const_data'),
|
|
('axes_const_data', 'interpolate', {'in': 3, 'out': 0}),
|
|
('scales', 'scales_data'),
|
|
('scales_data', 'interpolate', {'in': 2, 'out': 0}),
|
|
('interpolate', 'interpolate_data'),
|
|
('interpolate_data', 'output')
|
|
]
|
|
|
|
ref_graph_node_attrs = {
|
|
'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': np.float32},
|
|
'factor': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([5, 5]), 'shape': int64_array([2])},
|
|
'factor_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'shapeof': {'type': 'ShapeOf', 'kind': 'op', 'op': 'ShapeOf'},
|
|
'shapeof_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'strided_slice': {'type': 'StridedSlice', 'kind': 'op', 'op': 'StridedSlice'},
|
|
'strided_slice_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'ss_begin': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([2]), 'shape': int64_array([1])},
|
|
'ss_begin_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'ss_end': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([4]), 'shape': int64_array([1])},
|
|
'ss_end_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'ss_stride': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([1]), 'shape': int64_array([1])},
|
|
'ss_stride_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'cast_to_float': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.float},
|
|
'cast_to_float_d': {'kind': 'data', 'value': None, 'shape': None},
|
|
'mul': {'type': 'Multiply', 'kind': 'op', 'op': 'Multiply'},
|
|
'mul_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'cast_to_int': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.int32},
|
|
'cast_to_int_d': {'kind': 'data', 'shape': None, 'value': None},
|
|
'interpolate': {'type': 'Interpolate', 'kind': 'op', 'op': 'Interpolate', 'axes': None},
|
|
'interpolate_data': {'kind': 'data', 'shape': None, 'value': None},
|
|
'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
|
|
}
|
|
|
|
ref_graph_edges = [
|
|
('placeholder', 'placeholder_data'),
|
|
('placeholder_data', 'interpolate', {'in': 0, 'out': 0}),
|
|
('placeholder_data', 'shapeof', {'in': 0, 'out': 0}),
|
|
('shapeof', 'shapeof_data'),
|
|
('interpolate', 'interpolate_data'),
|
|
('factor', 'factor_data'),
|
|
('shapeof_data', 'strided_slice', {'in': 0, 'out': 0}),
|
|
('ss_begin', 'ss_begin_data'),
|
|
('ss_begin_data', 'strided_slice', {'in': 1, 'out': 0}),
|
|
('ss_end', 'ss_end_data'),
|
|
('ss_end_data', 'strided_slice', {'in': 2, 'out': 0}),
|
|
('ss_stride', 'ss_stride_data'),
|
|
('ss_stride_data', 'strided_slice', {'in': 3, 'out': 0}),
|
|
('strided_slice', 'strided_slice_data'),
|
|
('strided_slice_data', 'cast_to_float'),
|
|
('cast_to_float', 'cast_to_float_d'),
|
|
('cast_to_float_d', 'mul', {'in': 0, 'out': 0}),
|
|
('factor_data', 'mul', {'in': 1, 'out': 0}),
|
|
('mul', 'mul_data'),
|
|
('mul_data', 'cast_to_int'),
|
|
('cast_to_int', 'cast_to_int_d'),
|
|
('cast_to_int_d', 'interpolate', {'in': 1, 'out': 0}),
|
|
('interpolate_data', 'output'),
|
|
]
|
|
|
|
|
|
@generator
|
|
class UpsampleToResampleTest(unittest.TestCase):
|
|
@generate(*[([2, 10, 20, 30], [1, 1, 5, 5], [2, 3]),
|
|
([2, 20, 30, 40], [1, 1, 3, 3], [2, 3]),
|
|
([2, 10, 20, 30], [1, 1, 6, 5], [2, 3]),
|
|
([2, 20, 30, 40], [1, 1, 3, 4], [2, 3]),
|
|
([2, 3, 20, 30, 40], [1, 1, 3, 3, 3], [2, 3, 4]),
|
|
([2, 3, 20, 30, 40], [1, 1, 3, 4, 3], [2, 3, 4]),
|
|
([2, 3, 20, 30, 40], [1, 1, 4, 3, 3], [2, 3, 4]),
|
|
([2, 3, 20, 30, 40], [1, 1, 3, 3, 4], [2, 3, 4]),
|
|
([2, 10, 20, 30], [1, 1, 5.5, 5.7], [2, 3]),
|
|
([2, 20, 30, 40], [1, 1, 3.3, 3.1], [2, 3]),
|
|
([2, 10, 20, 30], [1, 1, 6.18, 5.34], [2, 3]),
|
|
([2, 20, 30, 40], [1, 1, 3.79, 4.16], [2, 3]),
|
|
([2, 3, 20, 30, 40], [1, 1, 3.12, 3.87, 3.92], [2, 3, 4]),
|
|
([2, 3, 20, 30, 40], [1, 1, 3.74, 4.873, 3.287], [2, 3, 4]),
|
|
([2, 3, 20, 30, 40], [1, 1, 4.8, 3.6, 3.11], [2, 3, 4]),
|
|
([2, 3, 20, 30, 40], [1, 1, 3.33, 3.73, 4.765], [2, 3, 4]),
|
|
])
|
|
def test_conversion(self, input_shape, scales, axes):
|
|
input_shape_as_array = int64_array(input_shape)
|
|
scales_as_array = float32_array(scales)
|
|
graph = build_graph(graph_node_attrs,
|
|
graph_edges,
|
|
{
|
|
'placeholder_data': {'shape': input_shape_as_array},
|
|
'scales': {'value': scales_as_array, 'shape': scales_as_array.shape},
|
|
'scales_data': {'value': scales_as_array, 'shape': scales_as_array.shape},
|
|
'upsample_data':
|
|
{'shape': ((input_shape_as_array + 1.e-5) * scales_as_array).astype(np.int64)}
|
|
})
|
|
graph.graph['layout'] = 'NCHW'
|
|
ref_graph = build_graph(new_ref_graph_node_attr,
|
|
new_ref_graph_edges,
|
|
{
|
|
'placeholder_data': {'shape': int64_array(input_shape)},
|
|
'ss_begin': {'value': int64_array([axes[0]])},
|
|
'ss_end': {'value': int64_array([axes[-1] + 1])},
|
|
'ss_begin_data': {'value': int64_array([axes[0]])},
|
|
'ss_end_data': {'value': int64_array([axes[-1] + 1])},
|
|
'factor': {'value': scales_as_array[2:],
|
|
'shape': scales_as_array[2:].shape},
|
|
'factor_data': {'value': scales_as_array[2:],
|
|
'shape': scales_as_array[2:].shape},
|
|
'axes_const': {'value': int64_array(axes), 'shape': int64_array(axes).shape},
|
|
'interpolate_data': {
|
|
'shape': (input_shape_as_array * scales_as_array + 1e-5).astype(np.int64)},
|
|
})
|
|
UpsampleToResample().find_and_replace_pattern(graph)
|
|
(flag, resp) = compare_graphs(graph, ref_graph, 'output')
|
|
self.assertTrue(flag, resp)
|
|
|
|
@generate(*[([2, 10, 20, 30], [1, 2, 5, 5],),
|
|
([2, 3, 20, 30, 40], [1, 2, 3, 3, 3],),
|
|
])
|
|
def test_pattern_does_not_satisfy(self, input_shape, scales):
|
|
graph = build_graph(graph_node_attrs, graph_edges,
|
|
{'placeholder_data': {'shape': int64_array(input_shape)},
|
|
'scales': {'value': int64_array(scales), 'shape': int64_array(scales).shape},
|
|
'scales_data': {'value': int64_array(scales), 'shape': int64_array(scales).shape},
|
|
'upsample_data': {'shape': int64_array(input_shape) * int64_array(scales)}})
|
|
graph.graph['layout'] = 'NCHW'
|
|
|
|
ref_graph = build_graph(graph_node_attrs, graph_edges,
|
|
{'placeholder_data': {'shape': int64_array(input_shape)},
|
|
'scales': {'value': int64_array(scales), 'shape': int64_array(scales).shape},
|
|
'scales_data': {'value': int64_array(scales), 'shape': int64_array(scales).shape},
|
|
'upsample_data': {'shape': int64_array(input_shape) * int64_array(scales)}})
|
|
|
|
UpsampleToResample().find_and_replace_pattern(graph)
|
|
(flag, resp) = compare_graphs(graph, ref_graph, 'output')
|
|
self.assertTrue(flag, resp)
|