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-rw-r--r--tensorflow/compiler/xla/tests/fmax_test.cc61
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diff --git a/tensorflow/compiler/xla/tests/fmax_test.cc b/tensorflow/compiler/xla/tests/fmax_test.cc
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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.
+==============================================================================*/
+
+#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/tests/client_library_test_base.h"
+#include "tensorflow/compiler/xla/tests/literal_test_util.h"
+#include "tensorflow/core/platform/test.h"
+
+namespace xla {
+namespace {
+
+class FmaxSimpleTest : public ClientLibraryTestBase {};
+
+TEST_F(FmaxSimpleTest, FmaxTenValues) {
+ ComputationBuilder builder(client_, TestName());
+ auto x = builder.ConstantR1<float>(
+ {-0.0, 1.0, 2.0, -3.0, -4.0, 5.0, 6.0, -7.0, -8.0, 9.0});
+ auto y = builder.ConstantR1<float>(
+ {-0.0, -1.0, -2.0, 3.0, 4.0, -5.0, -6.0, 7.0, 8.0, -9.0});
+ builder.Max(x, y);
+
+ std::vector<float> expected = {-0.0, 1.0, 2.0, 3.0, 4.0,
+ 5.0, 6.0, 7.0, 8.0, 9.0};
+ ComputeAndCompareR1<float>(&builder, expected, {}, 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();
+}