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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

320 lines
8.4 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 cop-
* ies 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 IM-
* PLIED, 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 CONNE-
* CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*
*
* ************************************************************************ */
#pragma once
#include "d_vector.hpp"
//
// Local declaration of the host strided batch vector.
//
template <typename T>
class host_batch_vector;
//!
//! @brief pseudo-vector subclass which uses a batch of device memory pointers
//! and
//! - an array of pointers in host memory
//! - an array of pointers in device memory
//!
template <typename T, size_t PAD = 0, typename U = T>
class device_batch_vector : private d_vector<T, PAD, U>
{
public:
using value_type = T;
public:
//!
//! @brief Disallow copying.
//!
device_batch_vector(const device_batch_vector&) = delete;
//!
//! @brief Disallow assigning.
//!
device_batch_vector& operator=(const device_batch_vector&) = delete;
//!
//! @brief Constructor.
//! @param n The length of the vector.
//! @param inc The increment.
//! @param batch_count The batch count.
//!
explicit device_batch_vector(int64_t n, int64_t inc, int64_t batch_count)
: m_n(n)
, m_inc(inc)
, m_batch_count(batch_count)
, d_vector<T, PAD, U>(size_t(n) * std::abs(inc))
{
if(false == this->try_initialize_memory())
{
this->free_memory();
}
}
//!
//! @brief Constructor.
//! @param n The length of the vector.
//! @param inc The increment.
//! @param stride (UNUSED) The stride.
//! @param batch_count The batch count.
//!
explicit device_batch_vector(int64_t n, int64_t inc, rocblas_stride stride, int64_t batch_count)
: device_batch_vector(n, inc, batch_count)
{
}
//!
//! @brief Constructor (kept for backward compatibility only, to be removed).
//! @param batch_count The number of vectors.
//! @param size_vector The size of each vectors.
//!
explicit device_batch_vector(int64_t batch_count, size_t size_vector)
: device_batch_vector(size_vector, 1, batch_count)
{
}
//!
//! @brief Destructor.
//!
~device_batch_vector()
{
this->free_memory();
}
//!
//! @brief Returns the length of the vector.
//!
int64_t n() const
{
return this->m_n;
}
//!
//! @brief Returns the increment of the vector.
//!
int64_t inc() const
{
return this->m_inc;
}
//!
//! @brief Returns the value of batch_count.
//!
int64_t batch_count() const
{
return this->m_batch_count;
}
//!
//! @brief Returns the stride value.
//!
rocblas_stride stride() const
{
return 0;
}
//!
//! @brief Access to device data.
//! @return Pointer to the device data.
//!
T** ptr_on_device()
{
return this->m_device_data;
}
//!
//! @brief Const access to device data.
//! @return Const pointer to the device data.
//!
const T* const* ptr_on_device() const
{
return this->m_device_data;
}
T** data()
{
return this->m_device_data;
}
const T* const* data() const
{
return this->m_device_data;
}
//!
//! @brief Random access.
//! @param batch_index The batch index.
//! @return Pointer to the array on device.
//!
T* operator[](int64_t batch_index)
{
return this->m_data[batch_index];
}
//!
//! @brief Constant random access.
//! @param batch_index The batch index.
//! @return Constant pointer to the array on device.
//!
const T* operator[](int64_t batch_index) const
{
return this->m_data[batch_index];
}
// clang-format off
//!
//! @brief Const cast of the data on host.
//!
operator const T* const*() const
{
return this->m_data;
}
//!
//! @brief Cast of the data on host.
//!
operator T**()
{
return this->m_data;
}
// clang-format on
//!
//! @brief Tell whether ressources allocation failed.
//!
explicit operator bool() const
{
return nullptr != this->m_data;
}
//!
//! @brief Copy from a host batched vector.
//! @param that The host_batch_vector to copy.
//!
hipError_t transfer_from(const host_batch_vector<T>& that)
{
hipError_t hip_err;
//
// Copy each vector.
//
for(int64_t batch_index = 0; batch_index < this->m_batch_count; ++batch_index)
{
if(hipSuccess
!= (hip_err = hipMemcpy((*this)[batch_index],
that[batch_index],
sizeof(T) * this->nmemb(),
hipMemcpyHostToDevice)))
{
return hip_err;
}
}
return hipSuccess;
}
//!
//! @brief Check if memory exists.
//! @return hipSuccess if memory exists, hipErrorOutOfMemory otherwise.
//!
hipError_t memcheck() const
{
if(*this)
return hipSuccess;
else
return hipErrorOutOfMemory;
}
private:
int64_t m_n{};
int64_t m_inc{};
int64_t m_batch_count{};
T** m_data{};
T** m_device_data{};
//!
//! @brief Try to allocate the resources.
//! @return true if success false otherwise.
//!
bool try_initialize_memory()
{
bool success = false;
success
= (hipSuccess == (hipMalloc)(&this->m_device_data, this->m_batch_count * sizeof(T*)));
if(success)
{
success = (nullptr != (this->m_data = (T**)calloc(this->m_batch_count, sizeof(T*))));
if(success)
{
for(int64_t batch_index = 0; batch_index < this->m_batch_count; ++batch_index)
{
success
= (nullptr != (this->m_data[batch_index] = this->device_vector_setup()));
if(!success)
{
break;
}
}
if(success)
{
success = (hipSuccess
== hipMemcpy(this->m_device_data,
this->m_data,
sizeof(T*) * this->m_batch_count,
hipMemcpyHostToDevice));
}
}
}
return success;
}
//!
//! @brief Free the resources, as much as we can.
//!
void free_memory()
{
if(nullptr != this->m_data)
{
for(int64_t batch_index = 0; batch_index < this->m_batch_count; ++batch_index)
{
if(nullptr != this->m_data[batch_index])
{
this->device_vector_teardown(this->m_data[batch_index]);
this->m_data[batch_index] = nullptr;
}
}
free(this->m_data);
this->m_data = nullptr;
}
if(nullptr != this->m_device_data)
{
auto tmp_device_data = this->m_device_data;
this->m_device_data = nullptr;
CHECK_HIP_ERROR((hipFree)(tmp_device_data));
}
}
};