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// clang-format off
// Generated file (from: conv_quant8.mod.py). Do not edit
// clang-format off
// Generated file (from: conv_quant8.mod.py). Do not edit
// clang-format off
// Generated file (from: conv_quant8.mod.py). Do not edit
#include "../../TestGenerated.h"
namespace conv_quant8 {
// Generated conv_quant8 test
#include "-"
// Generated model constructor
#include "-"
} // namespace conv_quant8
void CreateModel(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 1});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
OperandType type2(Type::TENSOR_FLOAT32, {1});
OperandType type3(Type::INT32, {});
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto op2 = model->addOperand(&type1);
auto op3 = model->addOperand(&type2);
auto pad0 = model->addOperand(&type3);
auto stride = model->addOperand(&type3);
auto act = model->addOperand(&type3);
auto op4 = model->addOperand(&type1);
// Phase 2, operations
static float op2_init[] = {0.25f, 0.25f, 0.25f, 0.25f};
model->setOperandValue(op2, op2_init, sizeof(float) * 4);
static float op3_init[] = {0.0f};
model->setOperandValue(op3, op3_init, sizeof(float) * 1);
static int32_t pad0_init[] = {0};
model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
static int32_t stride_init[] = {1};
model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
static int32_t act_init[] = {0};
model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{op1},
{op4});
// Phase 4: set relaxed execution
model->relaxComputationFloat32toFloat16(true);
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, 1.0f, 1.0f, 1.0f, 0.5f, 1.0f, 1.0f, 1.0f, 1.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {0.875f, 0.875f, 0.875f, 0.875f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
};
TEST_F(GeneratedTests, conv_quant8) {
execute(conv_quant8::CreateModel,
conv_quant8::is_ignored,
conv_quant8::examples);
}
#include "../generated/tests/conv_quant8.mod.py.cpp"
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