distconv_gather.hpp

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// Copyright (c) 2014-2019, Lawrence Livermore National Security, LLC.
// Produced at the Lawrence Livermore National Laboratory.
// Written by the LBANN Research Team (B. Van Essen, et al.) listed in
// the CONTRIBUTORS file. <lbann-dev@llnl.gov>
//
// LLNL-CODE-697807.
// All rights reserved.
//
// This file is part of LBANN: Livermore Big Artificial Neural Network
// Toolkit. For details, see http://software.llnl.gov/LBANN or
// https://github.com/LLNL/LBANN.
//
// Licensed under the Apache License, Version 2.0 (the "Licensee"); 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 LBANN_LAYERS_TRANSFORM_DISTCONV_GATHER
#define LBANN_LAYERS_TRANSFORM_DISTCONV_GATHER

#include "lbann/utils/distconv.hpp"

#if defined(LBANN_HAS_NVSHMEM) && defined(LBANN_HAS_DISTCONV)

#include "distconv/base.hpp"
#include "distconv/tensor/tensor.hpp"
#include "distconv/tensor/tensor_mpi.hpp"
#include "lbann/layers/transform/distconv/distconv_nvshmem_vector_addressing.hpp"

namespace distconv {
template <typename Backend, typename DataType>
class Gather
{
  using LocaleMPI = tensor::LocaleMPI;

public:
  Gather(Backend& backend) : m_backend(backend)
  {
    m_dist_scatter = std::make_unique<tensor::ScatterNVSHMEM<DataType>>(
      m_backend.get_stream());
    m_dist_gather = std::make_unique<tensor::GatherNVSHMEM<DataType>>(
      m_backend.get_stream());
  };

  template <typename Allocator>
  int forward(
    const tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& input,
    const tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& indices,
    tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& output);

  template <typename Allocator>
  int backward(
    const tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& output_grad,
    const tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& indices,
    tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& values_grad,
    tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& indices_grad);

  template <typename Allocator>
  void
  setup(const tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& input,
        const tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& indices,
        const tensor::Tensor<DataType, tensor::LocaleMPI, Allocator>& output);

protected:
  Backend& m_backend;
  std::unique_ptr<tensor::GatherNVSHMEM<DataType>>
    m_dist_gather; // Forward prop
  std::unique_ptr<tensor::ScatterNVSHMEM<DataType>>
    m_dist_scatter; // Backward prop
};                  // class definition Gather
} // namespace distconv

#endif // defined(LBANN_HAS_DISTCONV) && defined(LBANN_HAS_NVSHMEM)
#endif // LBANN_LAYERS_TRANSFORM_DISTCONV_GATHER