1 files changed, 100 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/cast_op_test.cc b/tensorflow/core/kernels/cast_op_test.cc
new file mode 100644
index 0000000000..f774fbcfe8
--- /dev/null
+++ b/tensorflow/core/kernels/cast_op_test.cc
@@ -0,0 +1,100 @@
+#include "tensorflow/core/framework/fake_input.h"
+#include "tensorflow/core/framework/node_def_builder.h"
+#include "tensorflow/core/framework/types.pb.h"
+#include "tensorflow/core/common_runtime/kernel_benchmark_testlib.h"
+#include "tensorflow/core/kernels/ops_util.h"
+#include "tensorflow/core/kernels/ops_testutil.h"
+#include "tensorflow/core/platform/test_benchmark.h"
+#include "tensorflow/core/public/tensor.h"
+#include <gtest/gtest.h>
+
+namespace tensorflow {
+
+template <typename Src, typename Dst>
+static Graph* Cast(int num) {
+  Graph* g = new Graph(OpRegistry::Global());
+  Tensor data(DataTypeToEnum<Src>::value,
+              TensorShape({64, 64, num / (64 * 64)}));
+  data.flat<Src>().setRandom();
+  test::graph::Cast(g, test::graph::Constant(g, data),
+                    DataTypeToEnum<Dst>::value);
+  return g;
+}
+
+class CastOpTest : public OpsTestBase {
+ protected:
+  void MakeOp(DataType src, DataType dst) {
+    RequireDefaultOps();
+    EXPECT_OK(NodeDefBuilder("cast_op", "Cast")
+                  .Input(FakeInput(DT_INT32))
+                  .Attr("SrcT", src)
+                  .Attr("DstT", dst)
+                  .Finalize(node_def()));
+    EXPECT_OK(InitOp());
+  }
+};
+
+TEST_F(CastOpTest, Int32ToUint8) {
+  MakeOp(DT_INT32, DT_UINT8);
+  AddInputFromArray<int32>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
+  ASSERT_OK(RunOpKernel());
+  Tensor expected(allocator(), DT_UINT8, TensorShape({1, 2, 2, 1}));
+  test::FillValues<uint8>(&expected, {1, 2, 3, 4});
+  test::ExpectTensorEqual<uint8>(expected, *GetOutput(0));
+}
+
+static void BM_cpu_float_int64(int iters, int num) {
+  testing::ItemsProcessed(static_cast<int64>(iters) * num);
+  testing::BytesProcessed(static_cast<int64>(iters) * num *
+                          (sizeof(float) + sizeof(int64)));
+  testing::UseRealTime();
+  test::Benchmark("cpu", Cast<float, int64>(num)).Run(iters);
+}
+BENCHMARK(BM_cpu_float_int64)->Arg(64 << 10)->Arg(32 << 20);
+
+static void BM_gpu_float_int64(int iters, int num) {
+  testing::ItemsProcessed(static_cast<int64>(iters) * num);
+  testing::BytesProcessed(static_cast<int64>(iters) * num *
+                          (sizeof(float) + sizeof(int64)));
+  testing::UseRealTime();
+  test::Benchmark("gpu", Cast<float, int64>(num)).Run(iters);
+}
+BENCHMARK(BM_gpu_float_int64)->Arg(64 << 10)->Arg(32 << 20);
+
+static void BM_cpu_bool_float(int iters, int num) {
+  testing::ItemsProcessed(static_cast<int64>(iters) * num);
+  testing::BytesProcessed(static_cast<int64>(iters) * num *
+                          (sizeof(bool) + sizeof(float)));
+  testing::UseRealTime();
+  test::Benchmark("cpu", Cast<bool, float>(num)).Run(iters);
+}
+BENCHMARK(BM_cpu_bool_float)->Arg(64 << 10)->Arg(32 << 20);
+
+static void BM_gpu_bool_float(int iters, int num) {
+  testing::ItemsProcessed(static_cast<int64>(iters) * num);
+  testing::BytesProcessed(static_cast<int64>(iters) * num *
+                          (sizeof(bool) + sizeof(float)));
+  testing::UseRealTime();
+  test::Benchmark("gpu", Cast<bool, float>(num)).Run(iters);
+}
+BENCHMARK(BM_gpu_bool_float)->Arg(64 << 10)->Arg(32 << 20);
+
+static void BM_cpu_float_bfloat16(int iters, int num) {
+  testing::ItemsProcessed(static_cast<int64>(iters) * num);
+  testing::BytesProcessed(static_cast<int64>(iters) * num *
+                          (sizeof(float) + sizeof(bfloat16)));
+  testing::UseRealTime();
+  test::Benchmark("cpu", Cast<float, bfloat16>(num)).Run(iters);
+}
+BENCHMARK(BM_cpu_float_bfloat16)->Arg(64 << 10)->Arg(32 << 20);
+
+static void BM_cpu_bfloat16_float(int iters, int num) {
+  testing::ItemsProcessed(static_cast<int64>(iters) * num);
+  testing::BytesProcessed(static_cast<int64>(iters) * num *
+                          (sizeof(float) + sizeof(bfloat16)));
+  testing::UseRealTime();
+  test::Benchmark("cpu", Cast<bfloat16, float>(num)).Run(iters);
+}
+BENCHMARK(BM_cpu_bfloat16_float)->Arg(64 << 10)->Arg(32 << 20);
+
+}  // end namespace tensorflow