blob: 2b43574d6c5cf0654efe67d22d2ccf904abec690 [file] [log] [blame]
//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "armnnOnnxParser/IOnnxParser.hpp"
#include "ParserPrototxtFixture.hpp"
TEST_SUITE("OnnxParser_Clip")
{
struct ClipMainFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser>
{
ClipMainFixture(std::string min, std::string max)
{
m_Prototext = R"(
ir_version: 3
producer_name: "CNTK"
producer_version: "2.5.1"
domain: "ai.cntk"
model_version: 1
graph {
name: "CNTKGraph"
input {
name: "Input"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 5
}
}
}
}
}
node {
input: "Input"
input:")" + min + R"("
input:")" + max + R"("
output: "Output"
name: "ActivationLayer"
op_type: "Clip"
}
output {
name: "Output"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 5
}
}
}
}
}
}
opset_import {
version: 7
})";
Setup();
}
};
struct ClipAttributeFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser>
{
ClipAttributeFixture(std::string min, std::string max)
{
m_Prototext = R"(
ir_version: 3
producer_name: "CNTK"
producer_version: "2.5.1"
domain: "ai.cntk"
model_version: 1
graph {
name: "CNTKGraph"
input {
name: "Input"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 5
}
}
}
}
}
node {
input: "Input"
output: "Output"
name: "ActivationLayer"
op_type: "Clip"
attribute {
name: "min"
f: )" + min + R"(
type: FLOAT
}
attribute {
name: "max"
f: )" + max + R"(
type: FLOAT
}
}
output {
name: "Output"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 5
}
}
}
}
}
}
opset_import {
version: 7
})";
Setup();
}
};
struct ClipFixture : ClipMainFixture
{
ClipFixture() : ClipMainFixture("2", "3.5") {}
};
TEST_CASE_FIXTURE(ClipFixture, "ValidClipTest")
{
RunTest<1>({{"Input", { -1.5f, 1.25f, 3.5f, 8.0, 2.5}}},
{{ "Output", { 2.0f, 2.0f, 3.5f, 3.5, 2.5}}});
}
struct ClipNoMaxInputFixture : ClipMainFixture
{
ClipNoMaxInputFixture() : ClipMainFixture("0", std::string()) {}
};
TEST_CASE_FIXTURE(ClipNoMaxInputFixture, "ValidNoMaxInputClipTest")
{
RunTest<1>({{"Input", { -1.5f, -5.25f, -0.5f, 8.0f, std::numeric_limits<float>::max() }}},
{{ "Output", { 0.0f, 0.0f, 0.0f, 8.0f, std::numeric_limits<float>::max() }}});
}
struct ClipNoMinInputFixture : ClipMainFixture
{
ClipNoMinInputFixture() : ClipMainFixture(std::string(), "6") {}
};
TEST_CASE_FIXTURE(ClipNoMinInputFixture, "ValidNoMinInputClipTest")
{
RunTest<1>({{"Input", { std::numeric_limits<float>::lowest(), -5.25f, -0.5f, 8.0f, 200.0f }}},
{{ "Output", { std::numeric_limits<float>::lowest(), -5.25f, -0.5f, 6.0f, 6.0f }}});
}
struct ClipNoInputFixture : ClipMainFixture
{
ClipNoInputFixture() : ClipMainFixture(std::string(), std::string()) {}
};
TEST_CASE_FIXTURE(ClipNoInputFixture, "ValidNoInputClipTest")
{
RunTest<1>({{"Input", { std::numeric_limits<float>::lowest(), -1.25f, 3.5f, 8.0f,
std::numeric_limits<float>::max()}}},
{{ "Output", { std::numeric_limits<float>::lowest(), -1.25f, 3.5f, 8.0f,
std::numeric_limits<float>::max()}}});
}
struct ClipMinMaxAttributeFixture : ClipAttributeFixture
{
ClipMinMaxAttributeFixture() : ClipAttributeFixture("2", "3.5") {}
};
TEST_CASE_FIXTURE(ClipMinMaxAttributeFixture, "ValidClipAttributeTest")
{
RunTest<1>({{ "Input", { -1.5f, 1.25f, 3.5f, 8.0, 2.5}}},
{{ "Output", { 2.0f, 2.0f, 3.5f, 3.5, 2.5}}});
}
}