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TheRock/rocm-libraries/projects/hipblas/clients/include/host_batch_matrix.hpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

272 lines
7.0 KiB
C++

/* ************************************************************************
* Copyright (C) 2018-2024 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
* ************************************************************************ */
#pragma once
#include <string.h>
#include "host_alloc.hpp"
//
// Local declaration of the device batch Matrix.
//
template <typename T>
class device_batch_matrix;
//!
//! @brief Implementation of the batch Matrix on host.
//!
template <typename T>
class host_batch_matrix
{
public:
//!
//! @brief Delete copy constructor.
//!
host_batch_matrix(const host_batch_matrix<T>& that) = delete;
//!
//! @brief Delete copy assignment.
//!
host_batch_matrix& operator=(const host_batch_matrix<T>& that) = delete;
//!
//! @brief Constructor.
//! @param m The number of rows of the Matrix.
//! @param n The number of cols of the Matrix.
//! @param lda The leading dimension of the Matrix.
//! @param batch_count The batch count.
//!
explicit host_batch_matrix(size_t m, size_t n, size_t lda, int64_t batch_count)
: m_m(m)
, m_n(n)
, m_lda(lda)
, m_nmemb(n * lda)
, m_batch_count(batch_count)
{
if(false == this->try_initialize_memory())
{
this->free_memory();
throw std::bad_alloc{};
}
}
//!
//! @brief Destructor.
//!
~host_batch_matrix()
{
this->free_memory();
}
//!
//! @brief Returns the rows of the Matrix.
//!
size_t m() const
{
return m_m;
}
//!
//! @brief Returns the cols of the Matrix.
//!
size_t n() const
{
return m_n;
}
//!
//! @brief Returns the leading dimension of the Matrix.
//!
size_t lda() const
{
return m_lda;
}
//!
//! @brief Returns nmemb.
//!
size_t nmemb() const
{
return m_nmemb;
}
//!
//! @brief Returns the batch count.
//!
int64_t batch_count() const
{
return m_batch_count;
}
//!
//! @brief Random access to the Matrices.
//! @param batch_index the batch index.
//! @return The mutable pointer.
//!
T* operator[](int64_t batch_index)
{
return m_data[batch_index];
}
//!
//! @brief Constant random access to the Matrices.
//! @param batch_index the batch index.
//! @return The non-mutable pointer.
//!
const T* operator[](int64_t batch_index) const
{
return m_data[batch_index];
}
//!
//! @brief Cast to a double pointer.
//!
// clang-format off
operator T**()
// clang-format on
{
return m_data;
}
//!
//! @brief Constant cast to a double pointer.
//!
operator const T* const *()
{
return m_data;
}
//!
//! @brief Copy from a host batched Matrix.
//! @param that the Matrix the data is copied from.
//! @return true if the copy is done successfully, false otherwise.
//!
bool copy_from(const host_batch_matrix<T>& that)
{
if((this->batch_count() == that.batch_count()) && (this->m() == that.m())
&& (this->n() == that.n()) && (this->lda() == that.lda()))
{
size_t num_bytes = m_nmemb * sizeof(T) * m_batch_count;
if(m_batch_count > 0)
memcpy((*this)[0], that[0], num_bytes);
return true;
}
else
{
return false;
}
}
//!
//! @brief Transfer from a device batched Matrix.
//! @param that the Matrix the data is copied from.
//! @return the hip error.
//!
hipError_t transfer_from(const device_batch_matrix<T>& that)
{
hipError_t hip_err;
size_t num_bytes = m_nmemb * sizeof(T) * m_batch_count;
if(that.use_HMM && hipSuccess != (hip_err = hipDeviceSynchronize()))
return hip_err;
hipMemcpyKind kind = that.use_HMM ? hipMemcpyHostToHost : hipMemcpyDeviceToHost;
if(m_batch_count > 0)
{
if(hipSuccess != (hip_err = hipMemcpy((*this)[0], that[0], num_bytes, kind)))
{
return hip_err;
}
}
return hipSuccess;
}
//!
//! @brief Check if memory exists.
//! @return hipSuccess if memory exists, hipErrorOutOfMemory otherwise.
//!
hipError_t memcheck() const
{
return (nullptr != m_data) ? hipSuccess : hipErrorOutOfMemory;
}
private:
size_t m_m{};
size_t m_n{};
size_t m_lda{};
size_t m_nmemb{};
int64_t m_batch_count{};
T** m_data{};
bool try_initialize_memory()
{
bool success = (nullptr != (m_data = (T**)host_calloc(m_batch_count, sizeof(T*))));
if(success)
{
for(int64_t batch_index = 0; batch_index < m_batch_count; ++batch_index)
{
if(batch_index == 0)
{
success = (nullptr
!= (m_data[batch_index]
= (T*)host_calloc(m_nmemb * m_batch_count, sizeof(T))));
if(false == success)
{
break;
}
}
else
{
m_data[batch_index] = m_data[0] + batch_index * m_nmemb;
}
}
}
return success;
}
void free_memory()
{
if(nullptr != m_data)
{
for(int64_t batch_index = 0; batch_index < m_batch_count; ++batch_index)
{
if(batch_index == 0 && nullptr != m_data[batch_index])
{
free(m_data[batch_index]);
m_data[batch_index] = nullptr;
}
else
{
m_data[batch_index] = nullptr;
}
}
free(m_data);
m_data = nullptr;
}
}
};