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#include <gtest/gtest.h>
#include "caffe2/core/net.h"
#include "caffe2/core/operator.h"
#include "caffe2/transforms/conv_to_nnpack_transform.h"
namespace caffe2 {
namespace {
using transform::Graph;
TEST(ConvToNNPackTest, TestSimple) {
NetDef netdef;
// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
OperatorDef* op;
// NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
op = AddOp(&netdef, "Conv", {"in"}, {"out"});
// NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
op = AddOp(&netdef, "Relu", {"out"}, {"out"});
op = AddOp(&netdef, "Conv", {"out"}, {"out"}); // if not CPU, won't transform
op->mutable_device_option()->set_device_type(PROTO_CUDA);
// NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
op = AddOp(&netdef, "Relu", {"out"}, {"out"});
op = AddOp(&netdef, "Conv", {"out"}, {"out"});
op->set_engine("NNPACK"); // does not need to be transformed
// NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
op = AddOp(&netdef, "Relu", {"out"}, {"out"});
// NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
op = AddOp(&netdef, "Conv", {"out"}, {"out"});
// NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores)
op = AddOp(&netdef, "Relu", {"out"}, {"out"});
auto t = TransformRegistry()->Create("ConvToNNPack");
NetDef transformed_netdef = t->ApplyTo(netdef);
int nnpack_count = 0;
for (auto& op : transformed_netdef.op()) {
if (op.type() == "Conv" && op.device_option().device_type() == PROTO_CPU) {
EXPECT_EQ(op.engine(), "NNPACK");
nnpack_count++;
}
}
EXPECT_EQ(nnpack_count, 3);
EXPECT_EQ(t->PatternMatch(Graph(netdef)).size(), 2); // should get 2 matches
}
} // namespace
} // namespace caffe2
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