1 files changed, 210 insertions, 0 deletions
diff --git a/tensorflow/compiler/xla/tests/convert_test.cc b/tensorflow/compiler/xla/tests/convert_test.cc
new file mode 100644
index 0000000000..9f8c3a9aeb
--- /dev/null
+++ b/tensorflow/compiler/xla/tests/convert_test.cc
@@ -0,0 +1,210 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include <cstdint>
+#include <limits>
+#include <memory>
+#include <vector>
+
+#include "tensorflow/compiler/xla/client/computation_builder.h"
+#include "tensorflow/compiler/xla/client/local_client.h"
+#include "tensorflow/compiler/xla/legacy_flags/cpu_compiler_flags.h"
+#include "tensorflow/compiler/xla/shape_util.h"
+#include "tensorflow/compiler/xla/tests/client_library_test_base.h"
+#include "tensorflow/compiler/xla/tests/literal_test_util.h"
+#include "tensorflow/compiler/xla/tests/test_macros.h"
+#include "tensorflow/compiler/xla/xla_data.pb.h"
+#include "tensorflow/core/platform/stream_executor_no_cuda.h"
+#include "tensorflow/core/platform/test.h"
+#include "tensorflow/core/platform/types.h"
+
+namespace xla {
+namespace {
+
+class ConvertTest : public ClientLibraryTestBase {
+ public:
+  explicit ConvertTest(perftools::gputools::Platform* platform = nullptr)
+      : ClientLibraryTestBase(platform,
+                              /*disabled_pass_names=*/{"algsimp", "inline"}) {}
+};
+
+TEST_F(ConvertTest, ConvertR1S32ToR1S32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<int32>({42, 64});
+  builder.ConvertElementType(a, S32);
+
+  std::vector<int32> expected = {42, 64};
+  ComputeAndCompareR1<int32>(&builder, expected, {});
+}
+
+TEST_F(ConvertTest, ConvertR1F32ToR1F32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<float>({42.0f, 64.0f});
+  builder.ConvertElementType(a, F32);
+
+  std::vector<float> expected = {42.0f, 64.0f};
+  ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
+}
+
+TEST_F(ConvertTest, ConvertR1S32ToR1F32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<int32>({42, 64});
+  builder.ConvertElementType(a, F32);
+
+  std::vector<float> expected = {42.0f, 64.0f};
+  ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
+}
+
+XLA_TEST_F(ConvertTest, ConvertR1S0S32ToR1S0F32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<int32>({});
+  builder.ConvertElementType(a, F32);
+
+  std::vector<float> expected = {};
+  ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
+}
+
+TEST_F(ConvertTest, ConvertR1F32ToR1S32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<float>({42.6, 64.4});
+  builder.ConvertElementType(a, S32);
+
+  std::vector<int32> expected = {42, 64};
+  ComputeAndCompareR1<int32>(&builder, expected, {});
+}
+
+XLA_TEST_F(ConvertTest, ConvertR1S64ToR1F32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<int64>({32, 64});
+  builder.ConvertElementType(a, F32);
+
+  std::vector<float> expected = {32.0, 64.0};
+  ComputeAndCompareR1<float>(&builder, expected, {});
+}
+
+XLA_TEST_F(ConvertTest, ConvertR1U8ToR1F32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<uint8_t>({32, 64});
+  builder.ConvertElementType(a, F32);
+
+  std::vector<float> expected = {32.0, 64.0};
+  ComputeAndCompareR1<float>(&builder, expected, {});
+}
+
+XLA_TEST_F(ConvertTest, ConvertR1U8ToR1S32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<uint8_t>({32, 64});
+  builder.ConvertElementType(a, S32);
+
+  std::vector<int32_t> expected = {32, 64};
+  ComputeAndCompareR1<int32_t>(&builder, expected, {});
+}
+
+XLA_TEST_F(ConvertTest, ConvertR1U8ToR1U32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<uint8_t>({32, 64});
+  builder.ConvertElementType(a, U32);
+
+  std::vector<uint32_t> expected = {32, 64};
+  ComputeAndCompareR1<uint32_t>(&builder, expected, {});
+}
+
+XLA_TEST_F(ConvertTest, ConvertR1F32ToR1F64) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<float>({32.0f, 64.0f});
+  builder.ConvertElementType(a, F64);
+
+  std::vector<double> expected = {32.0, 64.0};
+  ComputeAndCompareR1<double>(&builder, expected, {});
+}
+
+XLA_TEST_F(ConvertTest, ConvertR1F64ToR1F32) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<double>({32.0, 64.0});
+  builder.ConvertElementType(a, F32);
+
+  std::vector<float> expected = {32.0f, 64.0f};
+  ComputeAndCompareR1<float>(&builder, expected, {});
+}
+
+TEST_F(ConvertTest, ConvertS32Extremes) {
+  ComputationBuilder builder(client_, TestName());
+  auto a = builder.ConstantR1<int32>(
+      {std::numeric_limits<int32>::min(), std::numeric_limits<int32>::max()});
+  builder.ConvertElementType(a, F32);
+
+  std::vector<float> expected = {
+      static_cast<float>(std::numeric_limits<int32>::min()),
+      static_cast<float>(std::numeric_limits<int32>::max())};
+  ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
+}
+
+TEST_F(ConvertTest, ConvertMapToS32) {
+  ComputationBuilder builder(client_, TestName());
+  auto b = builder.CreateSubBuilder("convert");
+  auto param = b->Parameter(0, ShapeUtil::MakeShape(F32, {}), "in");
+  b->ConvertElementType(param, S32);
+  auto a = builder.ConstantR1<float>({42.0f, 64.0f});
+  builder.Map({a}, b->BuildAndNoteError());
+
+  std::vector<int32> expected = {42, 64};
+  ComputeAndCompareR1<int32>(&builder, expected, {});
+}
+
+TEST_F(ConvertTest, ConvertMapToF32) {
+  ComputationBuilder builder(client_, TestName());
+  auto b = builder.CreateSubBuilder("convert");
+  auto param = b->Parameter(0, ShapeUtil::MakeShape(S32, {}), "in");
+  b->ConvertElementType(param, F32);
+  auto a = builder.ConstantR1<int32>({42, 64});
+  builder.Map({a}, b->BuildAndNoteError());
+
+  std::vector<float> expected = {42.0f, 64.0f};
+  ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
+}
+
+// Regression test for b/31758660. When ReshapeMover transforms
+//   input -> reshape -> convert
+// to
+//   input -> convert -> reshape
+// the new convert should have the same element type as the old convert.
+TEST_F(ConvertTest, ConvertReshape) {
+  ComputationBuilder builder(client_, TestName());
+  auto input = builder.ConstantR1<int32>({42});
+  auto reshape = builder.Reshape(input, /*dimensions=*/{0}, /*new_sizes=*/{});
+  builder.ConvertElementType(reshape, F32);
+
+  ComputeAndCompareR0<float>(&builder, 42.0f, {}, ErrorSpec(0.0001));
+}
+
+}  // namespace
+}  // namespace xla
+
+int main(int argc, char** argv) {
+  std::vector<tensorflow::Flag> flag_list;
+  xla::legacy_flags::AppendCpuCompilerFlags(&flag_list);
+  xla::string usage = tensorflow::Flags::Usage(argv[0], flag_list);
+  const bool parse_result = tensorflow::Flags::Parse(&argc, argv, flag_list);
+  if (!parse_result) {
+    LOG(ERROR) << "\n" << usage;
+    return 2;
+  }
+  testing::InitGoogleTest(&argc, argv);
+  if (argc > 1) {
+    LOG(ERROR) << "Unknown argument " << argv[1] << "\n" << usage;
+    return 2;
+  }
+  return RUN_ALL_TESTS();
+}