// Generated file (from: depthwise_conv2d_float_large_2_weights_as_inputs.mod.py). Do not edit
void CreateModel(Model *model) {
- OperandType type3(Type::INT32, {});
- OperandType type4(Type::TENSOR_FLOAT32, {1, 1, 1, 4});
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_FLOAT32, {1, 1, 1, 4});
OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
- OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
- OperandType type2(Type::TENSOR_FLOAT32, {4});
+ OperandType type1(Type::TENSOR_FLOAT32, {4});
// Phase 1, operands
auto op1 = model->addOperand(&type0);
- auto op2 = model->addOperand(&type1);
- auto op3 = model->addOperand(&type2);
- auto pad0 = model->addOperand(&type3);
- auto act = model->addOperand(&type3);
- auto stride = model->addOperand(&type3);
- auto channelMultiplier = model->addOperand(&type3);
- auto op4 = model->addOperand(&type4);
+ auto op2 = model->addOperand(&type0);
+ auto op3 = model->addOperand(&type1);
+ auto pad0 = model->addOperand(&type2);
+ auto act = model->addOperand(&type2);
+ auto stride = model->addOperand(&type2);
+ auto channelMultiplier = model->addOperand(&type2);
+ auto op4 = model->addOperand(&type3);
// Phase 2, operations
static int32_t pad0_init[] = {0};
model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);