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// clang-format off
// Generated file (from: mean_implicit.mod.py). Do not edit
// clang-format off
// Generated file (from: mean_implicit.mod.py). Do not edit
// clang-format off
// Generated file (from: mean_implicit.mod.py). Do not edit
#include "../../TestGenerated.h"
namespace mean_implicit {
// Generated mean_implicit test
#include "-"
// Generated model constructor
#include "-"
} // namespace mean_implicit
void CreateModel(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2});
OperandType type2(Type::TENSOR_FLOAT32, {2, 1});
OperandType type3(Type::TENSOR_FLOAT32, {1});
OperandType type4(Type::TENSOR_INT32, {1});
OperandType type5(Type::INT32, {});
OperandType type6(Type::TENSOR_INT32, {2});
// Phase 1, operands
auto i0 = model->addOperand(&type0);
auto param = model->addOperand(&type4);
auto param1 = model->addOperand(&type5);
auto o1 = model->addOperand(&type1);
// Phase 2, operations
static int32_t param_init[] = {0};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
static int32_t param1_init[] = {1};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_MEAN, {i0, param, param1}, {o1});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{i0},
{o1});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
std::vector<MixedTypedExample> examples = {
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {4.0f, 6.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {-1.0f, -2.0f, -3.0f, -4.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {-4.0f, -6.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
};
TEST_F(GeneratedTests, mean_implicit) {
execute(mean_implicit::CreateModel,
mean_implicit::is_ignored,
mean_implicit::examples);
}
void CreateModel_2(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2});
OperandType type2(Type::TENSOR_FLOAT32, {2, 1});
OperandType type3(Type::TENSOR_FLOAT32, {1});
OperandType type4(Type::TENSOR_INT32, {1});
OperandType type5(Type::INT32, {});
OperandType type6(Type::TENSOR_INT32, {2});
// Phase 1, operands
auto i0 = model->addOperand(&type0);
auto param2 = model->addOperand(&type4);
auto param3 = model->addOperand(&type5);
auto o2 = model->addOperand(&type2);
// Phase 2, operations
static int32_t param2_init[] = {1};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
static int32_t param3_init[] = {1};
model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_MEAN, {i0, param2, param3}, {o2});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{i0},
{o2});
assert(model->isValid());
}
bool is_ignored_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {3.0f, 7.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {-1.0f, -2.0f, -3.0f, -4.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {-3.0f, -7.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
};
TEST_F(GeneratedTests, mean_implicit_2) {
execute(mean_implicit::CreateModel_2,
mean_implicit::is_ignored_2,
mean_implicit::examples_2);
}
void CreateModel_3(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2});
OperandType type2(Type::TENSOR_FLOAT32, {2, 1});
OperandType type3(Type::TENSOR_FLOAT32, {1});
OperandType type4(Type::TENSOR_INT32, {1});
OperandType type5(Type::INT32, {});
OperandType type6(Type::TENSOR_INT32, {2});
// Phase 1, operands
auto i0 = model->addOperand(&type0);
auto param4 = model->addOperand(&type6);
auto param5 = model->addOperand(&type5);
auto o3 = model->addOperand(&type3);
// Phase 2, operations
static int32_t param4_init[] = {0, 1};
model->setOperandValue(param4, param4_init, sizeof(int32_t) * 2);
static int32_t param5_init[] = {0};
model->setOperandValue(param5, param5_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_MEAN, {i0, param4, param5}, {o3});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{i0},
{o3});
assert(model->isValid());
}
bool is_ignored_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
std::vector<MixedTypedExample> examples_3 = {
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {10.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {-1.0f, -2.0f, -3.0f, -4.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {-10.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
};
TEST_F(GeneratedTests, mean_implicit_3) {
execute(mean_implicit::CreateModel_3,
mean_implicit::is_ignored_3,
mean_implicit::examples_3);
}
#include "../generated/tests/mean_implicit.mod.py.cpp"
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