blob: 77caf25f84d950ed644e7d58e8e3ef0a6d10d741 [file] [log] [blame]
// clang-format off
// Generated file (from: space_to_batch_float_3_relaxed.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type1(Type::TENSOR_INT32, {2});
OperandType type2(Type::TENSOR_INT32, {2, 2});
OperandType type3(Type::TENSOR_FLOAT32, {6, 2, 4, 1});
// Phase 1, operands
auto input = model->addOperand(&type0);
auto block_size = model->addOperand(&type1);
auto paddings = model->addOperand(&type2);
auto output = model->addOperand(&type3);
// Phase 2, operations
static int32_t block_size_init[] = {3, 2};
model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
static int32_t paddings_init[] = {1, 1, 2, 4};
model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input},
{output});
// Phase 4: set relaxed execution
model->relaxComputationFloat32toFloat16(true);
assert(model->isValid());
}
inline bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}