text: /* Copyright 2018 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 <utility>
  
  #include "tensorflow/compiler/xla/array2d.h"
  #include "tensorflow/compiler/xla/service/cpu/tests/cpu_codegen_test.h"
  #include "tensorflow/compiler/xla/service/hlo_computation.h"
  #include "tensorflow/compiler/xla/service/hlo_instruction.h"
  #include "tensorflow/compiler/xla/service/hlo_module.h"
  #include "tensorflow/compiler/xla/shape_util.h"
  #include "tensorflow/compiler/xla/tests/filecheck.h"
  #include "tensorflow/core/platform/test.h"
  
  namespace xla {
  namespace cpu {
  namespace {
  class CpuExternalConstantsTest : public CpuCodegenTest {
   public:
    void TestWithArray(int64 rows, int64 cols, const char* filecheck_pattern) {
      HloComputation::Builder builder(TestName());
  
      Array2D<float> backing_array(rows, cols);
      backing_array.FillUnique();
  
      auto shape = ShapeUtil::MakeShape(F32, {rows, cols});
  
      HloInstruction* constant =
          builder.AddInstruction(HloInstruction::CreateConstant(
              LiteralUtil::CreateR2FromArray2D(backing_array)));
      HloInstruction* param =
          builder.AddInstruction(HloInstruction::CreateParameter(0, shape, "x"));
      builder.AddInstruction(
          HloInstruction::CreateBinary(shape, HloOpcode::kAdd, param, constant));
  
      std::unique_ptr<HloModule> module = CreateNewUnverifiedModule();
      module->AddEntryComputation(builder.Build());
  
      CompileAndVerifyIr(std::move(module), filecheck_pattern,
                         /*match_optimized_ir=*/false);
    }
  };
  
  TEST_F(CpuExternalConstantsTest, Basic) {
    TestWithArray(/*rows=*/1024, /*cols=*/1024, R"(
  CHECK-NOT: @constant_global_0 = external constant [1024 x [1024 x float]], align 16
  CHECK: @0 = private constant [4194304 x i8] {{.*}}, align 16
  )");
  }
  
  TEST_F(CpuExternalConstantsTest, BasicNegative) {
    // The constant array in this test case is small enough that there is no need
    // to externalize it.
    TestWithArray(/*rows=*/4, /*cols=*/4, R"(
  CHECK-NOT: @constant_global_0 = external constant [16 x float], align 8
  CHECK: @0 = private constant [64 x i8] {{.*}}, align 8
  )");
  }
  }  // namespace
  }  // namespace cpu
  }  // namespace xla
  