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|
//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "armnnOnnxParser/IOnnxParser.hpp"
#include "ParserPrototxtFixture.hpp"
#include "OnnxParserTestUtils.hpp"
TEST_SUITE("OnnxParser_Gather")
{
struct GatherMainFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser>
{
GatherMainFixture(const std::vector<int>& indicesShape,
const std::vector<int>& indices,
const std::vector<int>& inputShape,
const std::vector<int>& outputShape)
{
m_Prototext = R"(
ir_version: 8
producer_name: "onnx-example"
graph {
node {
output: "indices"
op_type: "Constant"
attribute {
name: "value"
t {
data_type: 7
)" + ConstructIndicesString(indicesShape, indices) + R"(
name: "value"
}
type: TENSOR
}
}
node {
input: "input"
input: "indices"
output: "output"
op_type: "Gather"
attribute {
name: "axis"
i: 0
type: INT
}
}
name: "gather-model"
input {
name: "input"
type {
tensor_type {
elem_type: 1
shape {
)" + armnnUtils::ConstructTensorShapeString(inputShape) + R"(
}
}
}
}
output {
name: "output"
type {
tensor_type {
elem_type: 1
shape {
)" + armnnUtils::ConstructTensorShapeString(outputShape) + R"(
}
}
}
}
})";
}
std::string ConstructIndicesString(const std::vector<int>& indicesShape, const std::vector<int>& indices)
{
std::string shapeStr;
for (int i : indicesShape)
{
shapeStr = fmt::format(" {} dims: {}", shapeStr, i);
}
for (int i : indices)
{
shapeStr = fmt::format(" {} int64_data: {}", shapeStr, i);
}
return shapeStr;
}
};
struct GatherScalarFixture : GatherMainFixture
{
GatherScalarFixture() : GatherMainFixture({ }, { 0 }, { 8 }, { })
{
Setup();
}
};
struct Gather1dFixture : GatherMainFixture
{
Gather1dFixture() : GatherMainFixture({ 4 }, { 0, 2, 1, 5 }, { 8 }, { 4 })
{
Setup();
}
};
struct Gather2dFixture : GatherMainFixture
{
Gather2dFixture() : GatherMainFixture({ 3 }, { 1, 3, 4 }, { 5, 2 }, { 3, 2 })
{
Setup();
}
};
struct Gather3dMultiIndicesFixture : GatherMainFixture
{
Gather3dMultiIndicesFixture() : GatherMainFixture({ 2, 3 }, { 1, 2, 1, 2, 1, 0 }, { 3, 2, 3 }, { 2, 3, 2, 3 })
{
Setup();
}
};
struct Gather4dFixture : GatherMainFixture
{
Gather4dFixture() : GatherMainFixture({ 3 }, { 0, 1, 3 }, { 5, 4, 3, 2 }, { 3, 4, 3, 2 })
{
Setup();
}
};
TEST_CASE_FIXTURE(GatherScalarFixture, "GatherScalarTest")
{
RunTest<1, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f }}},
{{"output", { 1.0f }}});
}
TEST_CASE_FIXTURE(Gather1dFixture, "Gather1dTest")
{
RunTest<1, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f }}},
{{"output", { 1.0f, 3.0f, 2.0f, 6.0f }}});
}
TEST_CASE_FIXTURE(Gather2dFixture, "Gather2dTest")
{
RunTest<2, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}},
{{"output", { 3.0f, 4.0f, 7.0f, 8.0f, 9.0f, 10.0f }}});
}
TEST_CASE_FIXTURE(Gather3dMultiIndicesFixture, "Gather3dMultiIndicesTest")
{
RunTest<3, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f,
7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f,
13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f }}},
{{"output", { 7.0f, 8.0f, 9.0f,
10.0f, 11.0f, 12.0f,
13.0f, 14.0f, 15.0f,
16.0f, 17.0f, 18.0f,
7.0f, 8.0f, 9.0f,
10.0f, 11.0f, 12.0f,
13.0f, 14.0f, 15.0f,
16.0f, 17.0f, 18.0f,
7.0f, 8.0f, 9.0f,
10.0f, 11.0f, 12.0f,
1.0f, 2.0f, 3.0f,
4.0f, 5.0f, 6.0f }}});
}
TEST_CASE_FIXTURE(Gather4dFixture, "Gather4dTest")
{
RunTest<4, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f,
6.0f, 7.0f, 8.0f, 9.0f, 10.0f,
11.0f, 12.0f, 13.0f, 14.0f, 15.0f,
16.0f, 17.0f, 18.0f, 19.0f, 20.0f,
21.0f, 22.0f, 23.0f, 24.0f, 25.0f,
26.0f, 27.0f, 28.0f, 29.0f, 30.0f,
31.0f, 32.0f, 33.0f, 34.0f, 35.0f,
36.0f, 37.0f, 38.0f, 39.0f, 40.0f,
41.0f, 42.0f, 43.0f, 44.0f, 45.0f,
46.0f, 47.0f, 48.0f, 49.0f, 50.0f,
51.0f, 52.0f, 53.0f, 54.0f, 55.0f,
56.0f, 57.0f, 58.0f, 59.0f, 60.0f,
61.0f, 62.0f, 63.0f, 64.0f, 65.0f,
66.0f, 67.0f, 68.0f, 69.0f, 70.0f,
71.0f, 72.0f, 73.0f, 74.0f, 75.0f,
76.0f, 77.0f, 78.0f, 79.0f, 80.0f,
81.0f, 82.0f, 83.0f, 84.0f, 85.0f,
86.0f, 87.0f, 88.0f, 89.0f, 90.0f,
91.0f, 92.0f, 93.0f, 94.0f, 95.0f,
96.0f, 97.0f, 98.0f, 99.0f, 100.0f,
101.0f, 102.0f, 103.0f, 104.0f, 105.0f,
106.0f, 107.0f, 108.0f, 109.0f, 110.0f,
111.0f, 112.0f, 113.0f, 114.0f, 115.0f,
116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}},
{{"output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f,
7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f,
13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f,
19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f,
25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f,
31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f,
37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f,
43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f,
73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f,
79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f,
85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f,
91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}});
}
struct GatherRawDataFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser>
{
GatherRawDataFixture()
{
m_Prototext = R"(
ir_version: 8
producer_name: "onnx-example"
graph {
node {
output: "indices"
op_type: "Constant"
attribute {
name: "value"
t {
dims: 3
data_type: 7
raw_data:
"\000\000\000\000\000\000\000\000\001\000\000\000\000\000\000\000\003\000\000\000\000\000\000\000"
name: "value"
}
type: TENSOR
}
}
node {
input: "input"
input: "indices"
output: "output"
op_type: "Gather"
attribute {
name: "axis"
i: 0
type: INT
}
}
name: "gather-model"
input {
name: "input"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 5
}
dim {
dim_value: 4
}
dim {
dim_value: 3
}
dim {
dim_value: 2
}
}
}
}
}
output {
name: "output"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 3
}
dim {
dim_value: 4
}
dim {
dim_value: 3
}
dim {
dim_value: 2
}
}
}
}
}
})";
Setup();
}
};
TEST_CASE_FIXTURE(GatherRawDataFixture, "GatherRawDataTest")
{
RunTest<4, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f,
6.0f, 7.0f, 8.0f, 9.0f, 10.0f,
11.0f, 12.0f, 13.0f, 14.0f, 15.0f,
16.0f, 17.0f, 18.0f, 19.0f, 20.0f,
21.0f, 22.0f, 23.0f, 24.0f, 25.0f,
26.0f, 27.0f, 28.0f, 29.0f, 30.0f,
31.0f, 32.0f, 33.0f, 34.0f, 35.0f,
36.0f, 37.0f, 38.0f, 39.0f, 40.0f,
41.0f, 42.0f, 43.0f, 44.0f, 45.0f,
46.0f, 47.0f, 48.0f, 49.0f, 50.0f,
51.0f, 52.0f, 53.0f, 54.0f, 55.0f,
56.0f, 57.0f, 58.0f, 59.0f, 60.0f,
61.0f, 62.0f, 63.0f, 64.0f, 65.0f,
66.0f, 67.0f, 68.0f, 69.0f, 70.0f,
71.0f, 72.0f, 73.0f, 74.0f, 75.0f,
76.0f, 77.0f, 78.0f, 79.0f, 80.0f,
81.0f, 82.0f, 83.0f, 84.0f, 85.0f,
86.0f, 87.0f, 88.0f, 89.0f, 90.0f,
91.0f, 92.0f, 93.0f, 94.0f, 95.0f,
96.0f, 97.0f, 98.0f, 99.0f, 100.0f,
101.0f, 102.0f, 103.0f, 104.0f, 105.0f,
106.0f, 107.0f, 108.0f, 109.0f, 110.0f,
111.0f, 112.0f, 113.0f, 114.0f, 115.0f,
116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}},
{{"output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f,
7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f,
13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f,
19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f,
25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f,
31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f,
37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f,
43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f,
73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f,
79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f,
85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f,
91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}});
}
}
|
