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+/* 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.
+==============================================================================*/
+
+// Miscellaneous tests with the PRED type that don't fit anywhere else.
+#include <memory>
+
+#include "tensorflow/compiler/xla/array2d.h"
+#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/tests/client_library_test_base.h"
+#include "tensorflow/core/platform/test.h"
+
+namespace xla {
+namespace {
+
+class PredTest : public ClientLibraryTestBase {
+ protected:
+ void TestCompare(bool lhs, bool rhs, bool expected,
+ ComputationDataHandle (ComputationBuilder::*op)(
+ const ComputationDataHandle&,
+ const ComputationDataHandle&,
+ tensorflow::gtl::ArraySlice<int64>)) {
+ ComputationBuilder builder(client_, TestName());
+ ComputationDataHandle lhs_op = builder.ConstantR0<bool>(lhs);
+ ComputationDataHandle rhs_op = builder.ConstantR0<bool>(rhs);
+ ComputationDataHandle result = (builder.*op)(lhs_op, rhs_op, {});
+ ComputeAndCompareR0<bool>(&builder, expected, {});
+ }
+};
+
+TEST_F(PredTest, ConstantR0PredTrue) {
+ ComputationBuilder builder(client_, TestName());
+ auto a = builder.ConstantR0<bool>(true);
+ ComputeAndCompareR0<bool>(&builder, true, {});
+}
+
+TEST_F(PredTest, ConstantR0PredFalse) {
+ ComputationBuilder builder(client_, TestName());
+ auto a = builder.ConstantR0<bool>(false);
+ ComputeAndCompareR0<bool>(&builder, false, {});
+}
+
+TEST_F(PredTest, ConstantR0PredCompareEq) {
+ TestCompare(true, false, false, &ComputationBuilder::Eq);
+}
+
+TEST_F(PredTest, ConstantR0PredCompareNe) {
+ TestCompare(true, false, true, &ComputationBuilder::Ne);
+}
+
+TEST_F(PredTest, ConstantR0PredCompareLe) {
+ TestCompare(true, false, false, &ComputationBuilder::Le);
+}
+
+TEST_F(PredTest, ConstantR0PredCompareLt) {
+ TestCompare(true, false, false, &ComputationBuilder::Lt);
+}
+
+TEST_F(PredTest, ConstantR0PredCompareGe) {
+ TestCompare(true, false, true, &ComputationBuilder::Ge);
+}
+
+TEST_F(PredTest, ConstantR0PredCompareGt) {
+ TestCompare(true, false, true, &ComputationBuilder::Gt);
+}
+
+TEST_F(PredTest, ConstantR1Pred) {
+ ComputationBuilder builder(client_, TestName());
+ auto a = builder.ConstantR1<bool>({true, false, false, true});
+ ComputeAndCompareR1<bool>(&builder, {true, false, false, true}, {});
+}
+
+TEST_F(PredTest, ConstantR2Pred) {
+ ComputationBuilder builder(client_, TestName());
+ auto a =
+ builder.ConstantR2<bool>({{false, true, true}, {true, false, false}});
+ const string expected = R"(pred[2,3] {
+ { 011 },
+ { 100 },
+})";
+ EXPECT_EQ(expected, ExecuteToString(&builder, {}));
+}
+
+} // 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();
+}