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#include <gtest/gtest.h>
#include <vector>
#include "caffe2/operators/string_ops.h"
#include <c10/util/irange.h>
namespace caffe2 {
class StringJoinOpTest : public testing::Test {
public:
bool runOp(const Tensor& input) {
auto* blob = ws_.CreateBlob("X");
BlobSetTensor(blob, input.Alias());
OperatorDef def;
def.set_name("test");
def.set_type("StringJoin");
def.add_input("X");
def.add_output("Y");
auto op = CreateOperator(def, &ws_);
return op->Run();
}
const std::string* checkAndGetOutput(int outputSize) {
const auto* output = ws_.GetBlob("Y");
EXPECT_NE(output, nullptr);
EXPECT_TRUE(BlobIsTensorType(*output, CPU));
const auto& outputTensor = output->Get<TensorCPU>();
EXPECT_EQ(outputTensor.dim(), 1);
EXPECT_EQ(outputTensor.size(0), outputSize);
EXPECT_EQ(outputTensor.numel(), outputSize);
return outputTensor.data<std::string>();
}
protected:
// NOLINTNEXTLINE(cppcoreguidelines-non-private-member-variables-in-classes)
Workspace ws_;
};
TEST_F(StringJoinOpTest, testString1DJoin) {
std::vector<std::string> input = {"a", "xx", "c"};
auto blob = std::make_unique<Blob>();
auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
tensor->Resize(input.size());
auto* data = tensor->template mutable_data<std::string>();
for (const auto i : c10::irange(input.size())) {
// NOLINTNEXTLINE(clang-analyzer-core.CallAndMessage)
*data++ = input[i];
}
EXPECT_TRUE(runOp(*tensor));
const auto* outputData = checkAndGetOutput(input.size());
EXPECT_EQ(outputData[0], "a,");
EXPECT_EQ(outputData[1], "xx,");
EXPECT_EQ(outputData[2], "c,");
}
TEST_F(StringJoinOpTest, testString2DJoin) {
std::vector<std::vector<std::string>> input = {{"aa", "bb", "cc"},
{"dd", "ee", "ff"}};
auto blob = std::make_unique<Blob>();
auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
tensor->Resize(input.size(), input[0].size());
auto* data = tensor->template mutable_data<std::string>();
for (const auto i : c10::irange(input.size())) {
for (const auto j : c10::irange(input[0].size())) {
// NOLINTNEXTLINE(clang-analyzer-core.CallAndMessage)
*data++ = input[i][j];
}
}
EXPECT_TRUE(runOp(*tensor));
const auto* outputData = checkAndGetOutput(input.size());
EXPECT_EQ(outputData[0], "aa,bb,cc,");
EXPECT_EQ(outputData[1], "dd,ee,ff,");
}
TEST_F(StringJoinOpTest, testFloat1DJoin) {
std::vector<float> input = {3.90f, 5.234f, 8.12f};
auto blob = std::make_unique<Blob>();
auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
tensor->Resize(input.size());
auto* data = tensor->template mutable_data<float>();
for (const auto i : c10::irange(input.size())) {
// NOLINTNEXTLINE(clang-analyzer-core.NullDereference)
*data++ = input[i];
}
EXPECT_TRUE(runOp(*tensor));
const auto* outputData = checkAndGetOutput(input.size());
EXPECT_EQ(outputData[0], "3.9,");
EXPECT_EQ(outputData[1], "5.234,");
EXPECT_EQ(outputData[2], "8.12,");
}
TEST_F(StringJoinOpTest, testFloat2DJoin) {
std::vector<std::vector<float>> input = {{1.23f, 2.45f, 3.56f},
{4.67f, 5.90f, 6.32f}};
auto blob = std::make_unique<Blob>();
auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
tensor->Resize(input.size(), input[0].size());
auto* data = tensor->template mutable_data<float>();
for (const auto i : c10::irange(input.size())) {
for (const auto j : c10::irange(input[0].size())) {
// NOLINTNEXTLINE(clang-analyzer-core.NullDereference)
*data++ = input[i][j];
}
}
EXPECT_TRUE(runOp(*tensor));
const auto* outputData = checkAndGetOutput(input.size());
EXPECT_EQ(outputData[0], "1.23,2.45,3.56,");
EXPECT_EQ(outputData[1], "4.67,5.9,6.32,");
}
TEST_F(StringJoinOpTest, testLong2DJoin) {
std::vector<std::vector<int64_t>> input = {{100, 200}, {1000, 2000}};
auto blob = std::make_unique<Blob>();
auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
tensor->Resize(input.size(), input[0].size());
auto* data = tensor->template mutable_data<int64_t>();
for (const auto i : c10::irange(input.size())) {
for (const auto j : c10::irange(input[0].size())) {
// NOLINTNEXTLINE(clang-analyzer-core.NullDereference)
*data++ = input[i][j];
}
}
EXPECT_TRUE(runOp(*tensor));
const auto* outputData = checkAndGetOutput(input.size());
EXPECT_EQ(outputData[0], "100,200,");
EXPECT_EQ(outputData[1], "1000,2000,");
}
}
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