text: /* Copyright 2019 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.
  ==============================================================================*/
  
  #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_GPU_CHOLESKY_THUNK_H_
  #define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_CHOLESKY_THUNK_H_
  
  #include "absl/base/thread_annotations.h"
  #include "absl/types/optional.h"
  #include "tensorflow/compiler/xla/service/buffer_assignment.h"
  #include "tensorflow/compiler/xla/service/gpu/buffer_allocations.h"
  #include "tensorflow/compiler/xla/service/gpu/cusolver_context.h"
  #include "tensorflow/compiler/xla/service/gpu/gpu_executable.h"
  #include "tensorflow/compiler/xla/service/gpu/hlo_execution_profiler.h"
  #include "tensorflow/compiler/xla/service/gpu/thunk.h"
  #include "tensorflow/compiler/xla/service/hlo_instruction.h"
  #include "tensorflow/compiler/xla/types.h"
  #include "tensorflow/compiler/xla/xla_data.pb.h"
  #include "tensorflow/core/lib/core/status.h"
  #include "tensorflow/core/platform/stream_executor_no_cuda.h"
  #include "tensorflow/stream_executor/blas.h"
  
  namespace xla {
  namespace gpu {
  
  // This class stores everything that StreamExecutor needs to launch a Cholesky
  // decomposition (LAPACK potrf). It is generated by IrEmitter.
  //
  // Thread-compatible.
  class CholeskyThunk : public Thunk {
   public:
    static StatusOr<int64> ScratchBufferSize(int64 n);
    CholeskyThunk(const CholeskyOptions& options,
                  BufferAllocation::Slice a_buffer,
                  BufferAllocation::Slice workspace_buffer,
                  BufferAllocation::Slice info_buffer,
                  PrimitiveType type,
                  int64 batch_size, int64 n, const HloInstruction* hlo);
  
    CholeskyThunk(const CholeskyThunk&) = delete;
    CholeskyThunk& operator=(const CholeskyThunk&) = delete;
  
    Status ExecuteOnStream(const BufferAllocations& buffer_allocations,
                           se::Stream* stream,
                           HloExecutionProfiler* profiler) override;
  
   private:
    se::blas::UpperLower uplo_;
  
    const BufferAllocation::Slice a_buffer_;
    const BufferAllocation::Slice workspace_buffer_;
    const BufferAllocation::Slice info_buffer_;
  
    const PrimitiveType type_;
    const int64 batch_size_;
    const int64 a_batch_stride_;
    const int64 n_;
  
    tensorflow::mutex mu_;
    absl::flat_hash_map<se::Stream*, CusolverContext> contexts_ GUARDED_BY(mu_);
  };
  
  }  // namespace gpu
  }  // namespace xla
  
  #endif  // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_CHOLESKY_THUNK_H_
  