1 files changed, 160 insertions, 0 deletions
diff --git a/tensorflow/compiler/xla/tests/round_trip_packed_literal_test.cc b/tensorflow/compiler/xla/tests/round_trip_packed_literal_test.cc
new file mode 100644
index 0000000000..5b734c0f40
--- /dev/null
+++ b/tensorflow/compiler/xla/tests/round_trip_packed_literal_test.cc
@@ -0,0 +1,160 @@
+/* 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 <memory>
+
+#include "tensorflow/compiler/xla/client/global_data.h"
+#include "tensorflow/compiler/xla/client/local_client.h"
+#include "tensorflow/compiler/xla/layout_util.h"
+#include "tensorflow/compiler/xla/legacy_flags/cpu_compiler_flags.h"
+#include "tensorflow/compiler/xla/literal_util.h"
+#include "tensorflow/compiler/xla/packed_literal_reader.h"
+#include "tensorflow/compiler/xla/shape_util.h"
+#include "tensorflow/compiler/xla/statusor.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/lib/core/casts.h"
+#include "tensorflow/core/lib/gtl/array_slice.h"
+#include "tensorflow/core/platform/env.h"
+#include "tensorflow/core/platform/test.h"
+#include "tensorflow/core/platform/types.h"
+
+namespace xla {
+namespace {
+
+class RoundTripPackedLiteralTest : public ClientLibraryTestBase {
+ protected:
+  // Sends the literal to the server and retrieves it back.
+  std::unique_ptr<Literal> RoundTripToServer(const Literal& original) {
+    std::unique_ptr<GlobalData> data =
+        client_->TransferToServer(original).ConsumeValueOrDie();
+    return client_->Transfer(*data).ConsumeValueOrDie();
+  }
+};
+
+TEST_F(RoundTripPackedLiteralTest, RoundTripsR1F32Length2) {
+  string data(sizeof(float) * 2, 0);
+  tensorflow::gtl::MutableArraySlice<float> floats(
+      tensorflow::bit_cast<float*>(data.data()), 2);
+  floats[0] = 42.0;
+  floats[1] = 24.0;
+
+  string fname = tensorflow::testing::TmpDir() + "/RoundTripsR1F32Length2.data";
+  EXPECT_TRUE(
+      tensorflow::WriteStringToFile(tensorflow::Env::Default(), fname, data)
+          .ok());
+
+  std::unique_ptr<tensorflow::RandomAccessFile> f;
+  TF_CHECK_OK(tensorflow::Env::Default()->NewRandomAccessFile(fname, &f));
+  PackedLiteralReader reader(f.release());
+  std::unique_ptr<Literal> actual =
+      reader.Read(ShapeUtil::MakeShape(F32, {2})).ConsumeValueOrDie();
+  EXPECT_TRUE(reader.IsExhausted());
+
+  EXPECT_EQ(42.0, LiteralUtil::Get<float>(*actual, {0}));
+  EXPECT_EQ(24.0, LiteralUtil::Get<float>(*actual, {1}));
+}
+
+TEST_F(RoundTripPackedLiteralTest, RoundTripsR2F32Size2x2Dim0Minor) {
+  string data(sizeof(float) * 4, 0);
+  tensorflow::gtl::MutableArraySlice<float> floats(
+      tensorflow::bit_cast<float*>(data.data()), 4);
+  // With x as the minor dimension, these will become:
+  floats[0] = 42.0;  // y=0,x=0
+  floats[1] = 24.0;  // y=0,x=1
+  floats[2] = 64.0;  // y=1,x=0
+  floats[3] = 46.0;  // y=1,x=1
+
+  string fname =
+      tensorflow::testing::TmpDir() + "/RoundTripsR2F32Size2x2Dim0Minor.data";
+  EXPECT_TRUE(
+      tensorflow::WriteStringToFile(tensorflow::Env::Default(), fname, data)
+          .ok());
+
+  const Layout layout = LayoutUtil::MakeLayout({1, 0});
+
+  std::unique_ptr<tensorflow::RandomAccessFile> f;
+  TF_CHECK_OK(tensorflow::Env::Default()->NewRandomAccessFile(fname, &f));
+  PackedLiteralReader reader(f.release());
+  std::unique_ptr<Literal> actual =
+      reader.Read(ShapeUtil::MakeShape(F32, {2, 2}), &layout)
+          .ConsumeValueOrDie();
+  EXPECT_TRUE(reader.IsExhausted());
+
+  EXPECT_EQ(42.0f, LiteralUtil::Get<float>(*actual, {0, 0}));
+  EXPECT_EQ(24.0f, LiteralUtil::Get<float>(*actual, {0, 1}));
+  EXPECT_EQ(64.0f, LiteralUtil::Get<float>(*actual, {1, 0}));
+  EXPECT_EQ(46.0f, LiteralUtil::Get<float>(*actual, {1, 1}));
+
+  std::unique_ptr<Literal> round_tripped = RoundTripToServer(*actual);
+  LiteralTestUtil::ExpectEqual(*round_tripped, *actual);
+}
+
+TEST_F(RoundTripPackedLiteralTest, RoundTripsR2F32Size2x2Dim1Minor) {
+  string data(sizeof(float) * 4, 0);
+  tensorflow::gtl::MutableArraySlice<float> floats(
+      tensorflow::bit_cast<float*>(data.data()), 4);
+  // With y as the minor dimension, these will become:
+  floats[0] = 42.0;  // y=0,x=0
+  floats[1] = 24.0;  // y=1,x=0
+  floats[2] = 64.0;  // y=0,x=1
+  floats[3] = 46.0;  // y=1,x=1
+
+  string fname =
+      tensorflow::testing::TmpDir() + "/RoundTripsR2F32Size2x2Dim1Minor.data";
+  EXPECT_TRUE(
+      tensorflow::WriteStringToFile(tensorflow::Env::Default(), fname, data)
+          .ok());
+
+  const Layout layout = LayoutUtil::MakeLayout({0, 1});
+
+  std::unique_ptr<tensorflow::RandomAccessFile> f;
+  TF_CHECK_OK(tensorflow::Env::Default()->NewRandomAccessFile(fname, &f));
+  PackedLiteralReader reader(f.release());
+  std::unique_ptr<Literal> actual =
+      reader.Read(ShapeUtil::MakeShape(F32, {2, 2}), &layout)
+          .ConsumeValueOrDie();
+  EXPECT_TRUE(reader.IsExhausted());
+
+  EXPECT_EQ(42.0f, LiteralUtil::Get<float>(*actual, {0, 0}));
+  EXPECT_EQ(24.0f, LiteralUtil::Get<float>(*actual, {1, 0}));
+  EXPECT_EQ(64.0f, LiteralUtil::Get<float>(*actual, {0, 1}));
+  EXPECT_EQ(46.0f, LiteralUtil::Get<float>(*actual, {1, 1}));
+
+  std::unique_ptr<Literal> round_tripped = RoundTripToServer(*actual);
+  LiteralTestUtil::ExpectEqual(*round_tripped, *actual);
+}
+
+}  // 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();
+}