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
59
60
|
//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "Pooling2DOperator.hpp"
TosaSerializationBasicBlock* ConvertPooling2DToTosaOperator(const std::vector<const TensorInfo*>& inputs,
const std::vector<const TensorInfo*>& outputs,
bool isMain,
const Pooling2dDescriptor* poolDescriptor)
{
std::string poolType = (poolDescriptor->m_PoolType == PoolingAlgorithm::Max) ? "Op_MAX" : "Op_AVG";
Op opcode = (poolDescriptor->m_PoolType == PoolingAlgorithm::Max) ? Op_MAX_POOL2D : Op_AVG_POOL2D;
// A helper function with static global variables ensures uniqueness
// for dynamically generating input, output and block names
std::string input0Name = poolType + std::string("_POOL2D_input0_") + GetUniqueTosaMappingID();
std::string outputName = poolType + std::string("_POOL2D_output0_") + GetUniqueTosaMappingID();
std::string blockName = poolType + std::string("_POOL2D_block_") + GetUniqueTosaMappingID();
// If it's the first block, overwrite block name with main.
if (isMain)
{
blockName = std::string("main");
}
std::vector<int> pad = {static_cast<int>(poolDescriptor->m_PadTop),
static_cast<int>(poolDescriptor->m_PadBottom),
static_cast<int>(poolDescriptor->m_PadLeft),
static_cast<int>(poolDescriptor->m_PadRight)};
std::vector<int> kernel = {static_cast<int>(poolDescriptor->m_PoolHeight),
static_cast<int>(poolDescriptor->m_PoolWidth)};
std::vector<int> stride = {static_cast<int>(poolDescriptor->m_StrideY),
static_cast<int>(poolDescriptor->m_StrideX)};
TosaPoolAttribute attribute(pad, kernel, stride, 0, 0, ArmNNToDType(inputs[0]->GetDataType()));
TosaSerializationOperator* op = new TosaSerializationOperator(opcode,
Attribute_PoolAttribute,
&attribute,
{input0Name},
{outputName});
std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape());
DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType());
std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape());
DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType());
TosaSerializationTensor* inputTensor0 = new TosaSerializationTensor(input0Name, inputShape0, inputDType0, {});
TosaSerializationTensor* outputTensor0 = new TosaSerializationTensor(outputName, outputShape0, outputDType0, {});
// operatorInputNames/operatorOutputNames ends up being the same as
// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings
return new TosaSerializationBasicBlock(blockName, // name
{op}, // operators
{inputTensor0, outputTensor0}, // tensors
{input0Name}, // inputs
{outputName}); // outputs
}
|
