1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
|
/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
#include "Flatten.h"
#include "ONNXHelpers.h"
#include "AttributeHelpers.h"
#include "mir/ops/ReshapeOp.h"
namespace mir_onnx
{
void convertFlattenV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
{
std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
mir::Graph *graph = context->getGraph();
const auto axis = getAttributeValue<int64_t>(onnx_node, "axis", 1);
assert(inputs.size() == 1);
const auto &in_shape = inputs[0]->getShape();
assert(axis <= in_shape.rank()); // A tensor of rank >= axis
int32_t first_dim = 1, second_dim = 1;
int32_t dim = 0;
for (; dim < axis; dim++)
first_dim *= in_shape.dim(dim);
for (; dim < in_shape.rank(); dim++)
second_dim *= in_shape.dim(dim);
mir::Shape out_shape({first_dim, second_dim}); // Output 2D tensor
auto result = createOp<mir::ops::ReshapeOp>(graph, inputs[0], out_shape)->getOutput(0);
context->setNodeOutputs(onnx_node, {result});
}
void convertFlattenV9(const onnx::NodeProto &onnx_node, ConverterContext *context)
{
// Other type constraints
convertFlattenV1(onnx_node, context);
}
} // namespace mir_onnx
|
