cutlass/tools/profiler/src/device_context.h
ANIKET SHIVAM d572cc1aab
CUTLASS 3.1 (#915)
Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
2023-04-14 23:19:34 -04:00

131 lines
4.2 KiB
C++

/***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
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* modification, are permitted provided that the following conditions are met:
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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,
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* this software without specific prior written permission.
*
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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,
int batch_count,
int seed_shift = 0);
/// 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,
int batch_count,
int seed_shift = 0);
/// 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