| #include "caffe2/core/common.h" |
| #include "caffe2/opt/converter.h" |
| #include "mobile.h" |
| |
| #include <gtest/gtest.h> |
| |
| #define ADD_ARG(_op, _name, _type, _val) \ |
| { \ |
| caffe2::Argument* arg = _op->add_arg(); \ |
| arg->set_name(_name); \ |
| arg->set_##_type(_val); \ |
| } |
| |
| TEST(MobileTest, Convolution) { |
| caffe2::NetDef net; |
| for (auto i = 0; i < 10; ++i) { |
| if (i % 3) { |
| caffe2::OperatorDef* def = net.add_op(); |
| def->set_type("Conv"); |
| def->add_input("X"); |
| def->add_input("W" + c10::to_string(i)); |
| def->add_input("b" + c10::to_string(i)); |
| ADD_ARG(def, "kernel", i, 3); |
| ADD_ARG(def, "stride", i, 1); |
| ADD_ARG(def, "pad", i, 0); |
| ADD_ARG(def, "order", s, "NCHW"); |
| def->add_output("X"); |
| def->mutable_device_option()->set_node_name("conv_runner"); |
| } else { |
| caffe2::OperatorDef* def = net.add_op(); |
| def->set_type("Relu"); |
| def->add_input("X"); |
| def->add_output("X"); |
| def->mutable_device_option()->set_node_name("relu_runner"); |
| } |
| } |
| auto nn = caffe2::convertToNNModule(net); |
| caffe2::opt::addNNPACK(&nn); |
| auto optimized_net = caffe2::convertToCaffe2Proto(nn, net); |
| // NOLINTNEXTLINE(performance-for-range-copy) |
| for (auto op : optimized_net.op()) { |
| if (op.type() == "Conv") { |
| assert(op.engine() == "NNPACK"); |
| } |
| } |
| } |