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 * 1. Redistributions of source code must retain the above copyright notice, this
 * list of conditions and the following disclaimer.
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 * 2. Redistributions in binary form must reproduce the above copyright notice,
 * this list of conditions and the following disclaimer in the documentation
 * and/or other materials provided with the distribution.
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 * contributors may be used to endorse or promote products derived from
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/* \file
   \brief 
*/

#pragma once

#include <map>
#include <string>


#include "cutlass/library/library.h"
#include "cutlass/library/util.h"

#include "options.h"
#include "device_allocation.h"

namespace cutlass {
namespace profiler {

/////////////////////////////////////////////////////////////////////////////////////////////////

/// Collection of allocations on the device
class DeviceContext {
public:

  //
  // Type definitions
  //
  using AllocationMap = std::map<std::string, DeviceAllocation *>;

private:
  //
  // Data members
  //

  /// Memory allocations that exist (owning)
  DeviceAllocationList device_memory_;

  /// Non-owning set of named allocations
  AllocationMap allocations_;
  
public:

  /// Allocates memory of a given type, capacity (elements), and name
  DeviceAllocation *allocate_block(
    std::string const &name,
    library::NumericTypeID type, 
    size_t capacity);

  /// Allocates memory of a given type, capacity (elements), and name
  DeviceAllocation *allocate_tensor(
    std::string const &name,
    library::NumericTypeID type, 
    library::LayoutTypeID layout_id, 
    std::vector<int> const &extent, 
    std::vector<int64_t> const &stride = std::vector<int64_t>(),
    int batch_count = 1);

  /// Allocates memory of a given type, capacity (elements), and name
  DeviceAllocation *allocate_tensor(
    Options const &options,
    std::string const &name,
    library::NumericTypeID type, 
    library::LayoutTypeID layout_id, 
    std::vector<int> const &extent, 
    std::vector<int64_t> const &stride = std::vector<int64_t>(),
    int batch_count = 1);

  /// Allocates memory for sparse meta data 
  DeviceAllocation *allocate_sparsemeta_tensor(
    Options const &options,
    std::string const &name,
    library::NumericTypeID type, 
    library::LayoutTypeID layout_id, 
    library::NumericTypeID type_a,
    std::vector<int> const &extent, 
    std::vector<int64_t> const &stride = std::vector<int64_t>(),
    int batch_count = 1);

  /// Clears named allocations (but does not necessarily free memory)
  void clear();

  /// Frees all device memory allocations
  void free();

  /// Gets the allocation by name
  DeviceAllocation &at(std::string const &name);

  size_t size() const;

  AllocationMap::iterator begin();
  AllocationMap::iterator end();
};

/////////////////////////////////////////////////////////////////////////////////////////////////

} // namespace profiler
} // namespace cutlass
