blob: 9bbab8f62bc822ba864fbb2aa47eda68129ce65f (
plain)
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
|
//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <tensorflow/lite/interpreter.h>
#include <doctest/doctest.h>
namespace armnnDelegate
{
/// Can be used to assign input data from a vector to a model input.
/// Example usage can be found in ResizeTesthelper.hpp
template <typename T>
void FillInput(std::unique_ptr<tflite::Interpreter>& interpreter, int inputIndex, std::vector<T>& inputValues)
{
auto tfLiteDelegateInputId = interpreter->inputs()[inputIndex];
auto tfLiteDelageInputData = interpreter->typed_tensor<T>(tfLiteDelegateInputId);
for (unsigned int i = 0; i < inputValues.size(); ++i)
{
tfLiteDelageInputData[i] = inputValues[i];
}
}
// Can be used to compare the output tensor shape and values
// from armnnDelegateInterpreter and tfLiteInterpreter.
// Example usage can be found in ControlTestHelper.hpp
template <typename T>
void CompareOutputData(std::unique_ptr<tflite::Interpreter>& tfLiteInterpreter,
std::unique_ptr<tflite::Interpreter>& armnnDelegateInterpreter,
std::vector<int32_t>& expectedOutputShape,
std::vector<T>& expectedOutputValues)
{
auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[0];
auto tfLiteDelegateOutputTensor = tfLiteInterpreter->tensor(tfLiteDelegateOutputId);
auto tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<T>(tfLiteDelegateOutputId);
auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[0];
auto armnnDelegateOutputTensor = armnnDelegateInterpreter->tensor(armnnDelegateOutputId);
auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<T>(armnnDelegateOutputId);
for (size_t i = 0; i < expectedOutputShape.size(); i++)
{
CHECK(expectedOutputShape[i] == armnnDelegateOutputTensor->dims->data[i]);
CHECK(tfLiteDelegateOutputTensor->dims->data[i] == expectedOutputShape[i]);
CHECK(tfLiteDelegateOutputTensor->dims->data[i] == armnnDelegateOutputTensor->dims->data[i]);
}
for (size_t i = 0; i < expectedOutputValues.size(); i++)
{
CHECK(expectedOutputValues[i] == armnnDelegateOutputData[i]);
CHECK(tfLiteDelageOutputData[i] == expectedOutputValues[i]);
CHECK(tfLiteDelageOutputData[i] == armnnDelegateOutputData[i]);
}
}
} // namespace armnnDelegate
|
