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host_tensor.hpp File Reference

#include <algorithm>
#include <cassert>
#include <iostream>
#include <fstream>
#include <numeric>
#include <random>
#include <thread>
#include <utility>
#include <vector>
#include "ck/utility/data_type.hpp"
#include "ck/utility/span.hpp"
#include "ck/utility/type_convert.hpp"
#include "ck/library/utility/algorithm.hpp"
#include "ck/library/utility/ranges.hpp"
#include "ck/library/utility/thread.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"

Go to the source code of this file.

Classes
struct	HostTensorDescriptor
	A descriptor class for host tensors that manages tensor dimensions, strides, and layout. More...
struct	joinable_thread
struct	ParallelTensorFunctor< F, Xs >
struct	Tensor< T >
	Tensor wrapper that performs static and dynamic buffer logic. The tensor is based on a descriptor stored in the Layout. Additionally, tensor can be sliced or shifted using multi-index offset. More...

Functions
template<typename Range >
std::ostream &	LogRange (std::ostream &os, Range &&range, std::string delim)
template<typename T , typename Range >
std::ostream &	LogRangeAsType (std::ostream &os, Range &&range, std::string delim)
template<typename F , typename T , std::size_t... Is>
auto	call_f_unpack_args_impl (F f, T args, std::index_sequence< Is... >)
template<typename F , typename T >
auto	call_f_unpack_args (F f, T args)
template<typename F , typename T , std::size_t... Is>
auto	construct_f_unpack_args_impl (T args, std::index_sequence< Is... >)
template<typename F , typename T >
auto	construct_f_unpack_args (F, T args)
template<typename New2Old , typename NewLayout = HostTensorDescriptor::BaseTensorLayout>
HostTensorDescriptor	transpose_host_tensor_descriptor_given_new2old (const HostTensorDescriptor &a, const New2Old &new2old, const NewLayout &new_layout=NewLayout())
template<typename F , typename... Xs>
auto	make_ParallelTensorFunctor (F f, Xs... xs)

Function Documentation

◆ call_f_unpack_args()

template<typename F , typename T >

auto call_f_unpack_args	(	F	f,
		T	args
	)

◆ call_f_unpack_args_impl()

template<typename F , typename T , std::size_t... Is>

auto call_f_unpack_args_impl	(	F	f,
		T	args,
		std::index_sequence< Is... >
	)

◆ construct_f_unpack_args()

template<typename F , typename T >

auto construct_f_unpack_args	(	F	,
		T	args
	)

◆ construct_f_unpack_args_impl()

template<typename F , typename T , std::size_t... Is>

auto construct_f_unpack_args_impl	(	T	args,
		std::index_sequence< Is... >
	)

◆ LogRange()

template<typename Range >

std::ostream& LogRange	(	std::ostream &	os,
		Range &&	range,
		std::string	delim
	)

◆ LogRangeAsType()

template<typename T , typename Range >

std::ostream& LogRangeAsType	(	std::ostream &	os,
		Range &&	range,
		std::string	delim
	)

◆ make_ParallelTensorFunctor()

template<typename F , typename... Xs>

auto make_ParallelTensorFunctor	(	F	f,
		Xs...	xs
	)

◆ transpose_host_tensor_descriptor_given_new2old()

template<typename New2Old , typename NewLayout = HostTensorDescriptor::BaseTensorLayout>

HostTensorDescriptor transpose_host_tensor_descriptor_given_new2old	(	const HostTensorDescriptor &	a,
		const New2Old &	new2old,
		const NewLayout &	new_layout = NewLayout()
	)