text: /* 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 <numeric>
  #include <vector>
  
  #include "tensorflow/compiler/xla/array2d.h"
  #include "tensorflow/compiler/xla/array3d.h"
  #include "tensorflow/compiler/xla/client/lib/arithmetic.h"
  #include "tensorflow/compiler/xla/client/local_client.h"
  #include "tensorflow/compiler/xla/client/xla_client/xla_builder.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/test.h"
  
  namespace xla {
  namespace {
  
  class VecOpsReduceTest : public ClientLibraryTestBase {
   public:
    VecOpsReduceTest() : builder_(TestName()) {}
  
    XlaOp BuildSampleConstantCube() {
      // clang-format off
      Array3D<float> x3d({
            {{1.0, 2.0, 3.0},   // | dim 1    // } plane 0 in dim 0
             {4.0, 5.0, 6.0}},  // V          // }
             // ---- dim 2 ---->
            {{1.0, 2.0, 3.0},                 // } plane 1 in dim 0
             {4.0, 5.0, 6.0}},
            {{1.0, 2.0, 3.0},                 // } plane 2 in dim 0
             {4.0, 5.0, 6.0}}});
      // clang-format on
      return builder_.ConstantR3FromArray3D<float>(x3d);
    }
  
    XlaBuilder builder_;
    ErrorSpec errspec_{1e-3, 0};
  };
  
  TEST_F(VecOpsReduceTest, AddReduceR1F32) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
  
    auto x = builder_.ConstantR1<float>(
        {2.1, -2.6, 2.6, -4.0, 2.1, 2.3, -5.0, -0.9, -2.4, 1.6});
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{0});
  
    ComputeAndCompareR0<float>(&builder_, -4.2f, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceBigR1F32) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
  
    std::vector<float> input(3000);
    std::iota(input.begin(), input.end(), 100.0f);
  
    auto x = builder_.ConstantR1<float>(input);
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{0});
  
    float expected = std::accumulate(input.begin(), input.end(), 0.0f);
    ComputeAndCompareR0<float>(&builder_, expected, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, MaxReduceR1F32) {
    auto max_reducer = CreateScalarMax();
  
    auto x = builder_.ConstantR1<float>(
        {2.1, -2.6, 2.6, -4.0, 2.1, 2.3, -5.0, -0.9, -2.4, 1.6});
    auto max_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), max_reducer,
                        /*dimensions_to_reduce=*/{0});
  
    ComputeAndCompareR0<float>(&builder_, 2.6f, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, MaxReduceR1F32WithNontrivialInit) {
    auto max_reducer = CreateScalarMax();
  
    auto x = builder_.ConstantR1<float>(
        {2.1, -2.6, 2.6, -4.0, 2.1, 2.3, -5.0, -0.9, -2.4, 1.6});
    auto max_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(4.0f), max_reducer,
                        /*dimensions_to_reduce=*/{0});
  
    ComputeAndCompareR0<float>(&builder_, 4.0f, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR2F32Dim1) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
  
    // clang-format off
    auto x = builder_.ConstantR2<float>({
      {1.0, 2.0, 3.0},    // | dim 0
      {4.0, 5.0, 6.0}});  // |
    // ------ dim 1 ----------
    // clang-format on
  
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{1});
  
    ComputeAndCompareR1<float>(&builder_, {6.0, 15.0}, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR2F32Dim0) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
  
    // clang-format off
    auto x = builder_.ConstantR2<float>({
      {1.0, 2.0, 3.0},
      {4.0, 5.0, 6.0}});
    // clang-format on
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{0});
  
    ComputeAndCompareR1<float>(&builder_, {5.0, 7.0, 9.0}, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR3F32Dim2) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
    auto x = BuildSampleConstantCube();
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{2});
  
    Array2D<float> expected_array({{6.0f, 15.0f}, {6.0f, 15.0f}, {6.0f, 15.0f}});
  
    ComputeAndCompareR2<float>(&builder_, expected_array, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR3F32Dim1) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
    auto x = BuildSampleConstantCube();
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{1});
  
    Array2D<float> expected_array(
        {{5.0f, 7.0f, 9.0f}, {5.0f, 7.0f, 9.0f}, {5.0f, 7.0f, 9.0f}});
  
    ComputeAndCompareR2<float>(&builder_, expected_array, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR3F32Dim0) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
    auto x = BuildSampleConstantCube();
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{0});
  
    Array2D<float> expected_array({{3.0f, 6.0f, 9.0f}, {12.0f, 15.0f, 18.0f}});
  
    ComputeAndCompareR2<float>(&builder_, expected_array, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR3F32Dims1and2) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
    auto x = BuildSampleConstantCube();
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{1, 2});
  
    ComputeAndCompareR1<float>(&builder_, {21.0, 21.0, 21.0}, {}, errspec_);
  }
  
  XLA_TEST_F(VecOpsReduceTest, AddReduceR3F32Dims0and2) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
    auto x = BuildSampleConstantCube();
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{0, 2});
  
    ComputeAndCompareR1<float>(&builder_, {18.0, 45.0}, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR3F32Dims0and1) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
    auto x = BuildSampleConstantCube();
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{0, 1});
  
    ComputeAndCompareR1<float>(&builder_, {15.0, 21.0, 27.0}, {}, errspec_);
  }
  
  TEST_F(VecOpsReduceTest, AddReduceR3F32AllDims) {
    auto sum_reducer = CreateScalarAddComputation(F32, &builder_);
    auto x = BuildSampleConstantCube();
    auto add_reduce =
        builder_.Reduce(x, builder_.ConstantR0<float>(0.0f), sum_reducer,
                        /*dimensions_to_reduce=*/{0, 1, 2});
  
    ComputeAndCompareR0<float>(&builder_, 63.0, {}, errspec_);
  }
  
  }  // namespace
  }  // namespace xla
  