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triton/lib/backend/templates/axpy.cpp

140 lines
5.8 KiB
C++

#include <cstring>
#include "isaac/backend/templates/axpy.h"
#include "isaac/backend/keywords.h"
#include "isaac/driver/backend.h"
#include "isaac/tools/make_map.hpp"
#include "isaac/tools/make_vector.hpp"
#include "isaac/tools/to_string.hpp"
#include <iostream>
namespace isaac
{
namespace templates
{
axpy_parameters::axpy_parameters(unsigned int _simd_width,
unsigned int _group_size, unsigned int _num_groups,
fetching_policy_type _fetching_policy) :
base::parameters_type(_simd_width, _group_size, 1, 1), num_groups(_num_groups), fetching_policy(_fetching_policy)
{ }
int axpy::is_invalid_impl(driver::Device const &, expressions_tuple const &) const
{
if (p_.fetching_policy==FETCH_FROM_LOCAL)
return TEMPLATE_INVALID_FETCHING_POLICY_TYPE;
return TEMPLATE_VALID;
}
std::string axpy::generate_impl(const char * suffix, expressions_tuple const & expressions, driver::Device const & device, std::vector<mapping_type> const & mappings) const
{
driver::backend_type backend = device.backend();
std::string _size_t = size_type(device);
kernel_generation_stream stream;
std::string str_simd_width = tools::to_string(p_.simd_width);
std::string dtype = append_width("#scalartype",p_.simd_width);
switch(backend)
{
#ifdef ISAAC_WITH_CUDA
case driver::CUDA: stream << "#include \"helper_math.h\"" << std::endl; break;
#endif
case driver::OPENCL: stream << " __attribute__((reqd_work_group_size(" << p_.local_size_0 << "," << p_.local_size_1 << ",1)))" << std::endl; break;
}
stream << KernelPrefix(backend) << " void " << "axpy" << suffix << "(" << _size_t << " N," << generate_arguments(dtype, device, mappings, expressions) << ")" << std::endl;
stream << "{" << std::endl;
stream.inc_tab();
process(stream, PARENT_NODE_TYPE, {{"array0", "#scalartype #namereg = #pointer[#start];"},
{"array1", "#pointer += #start;"}}, expressions, mappings);
stream << _size_t << " idx = " << GlobalIdx0(backend) << ";" << std::endl;
stream << _size_t << " gsize = " << GlobalSize0(backend) << ";" << std::endl;
std::string init, upper_bound, inc;
fetching_loop_info(p_.fetching_policy, "N/"+str_simd_width, stream, init, upper_bound, inc, "idx", "gsize", device);
stream << "for(" << _size_t << " i = " << init << "; i < " << upper_bound << "; i += " << inc << ")" << std::endl;
stream << "{" << std::endl;
stream.inc_tab();
process(stream, PARENT_NODE_TYPE, {{"array1", dtype + " #namereg = #pointer[i*#stride];"},
{"matrix_row", "#scalartype #namereg = $VALUE{#row*#stride1, i*#stride2};"},
{"matrix_column", "#scalartype #namereg = $VALUE{i*#stride1,#column*#stride2};"},
{"matrix_diag", "#scalartype #namereg = #pointer[#diag_offset<0?$OFFSET{(i - #diag_offset)*#stride1, i*#stride2}:$OFFSET{i*#stride1, (i + #diag_offset)*#stride2}];"}}, expressions, mappings);
evaluate(stream, PARENT_NODE_TYPE, {{"array0", "#namereg"}, {"array1", "#namereg"},
{"matrix_row", "#namereg"}, {"matrix_column", "#namereg"}, {"matrix_diag", "#namereg"},
{"cast", CastPrefix(backend, dtype).get()}, {"host_scalar", p_.simd_width==1?"#name": InitPrefix(backend, dtype).get() + "(#name)"}}, expressions, mappings);
process(stream, LHS_NODE_TYPE, {{"array1", "#pointer[i*#stride] = #namereg;"},
{"matrix_row", "$VALUE{#row, i} = #namereg;"},
{"matrix_column", "$VALUE{i, #column} = #namereg;"},
{"matrix_diag", "#diag_offset<0?$VALUE{(i - #diag_offset)*#stride1, i*#stride2}:$VALUE{i*#stride1, (i + #diag_offset)*#stride2} = #namereg;"}}, expressions, mappings);
stream.dec_tab();
stream << "}" << std::endl;
stream << "if(idx==0)" << std::endl;
stream << "{" << std::endl;
stream.inc_tab();
process(stream, LHS_NODE_TYPE, tools::make_map<std::map<std::string, std::string> >("array0", "#pointer[#start] = #namereg;"), expressions, mappings);
stream.dec_tab();
stream << "}" << std::endl;
stream.dec_tab();
stream << "}" << std::endl;
return stream.str();
}
axpy::axpy(axpy_parameters const & parameters,
binding_policy_t binding_policy) :
base_impl<axpy, axpy_parameters>(parameters, binding_policy)
{}
axpy::axpy(unsigned int simd, unsigned int ls, unsigned int ng,
fetching_policy_type fetch, binding_policy_t bind):
base_impl<axpy, axpy_parameters>(axpy_parameters(simd,ls,ng,fetch), bind)
{}
std::vector<int_t> axpy::input_sizes(expressions_tuple const & expressions) const
{
size4 shape = static_cast<array_expression const *>(expressions.data().front().get())->shape();
return tools::make_vector<int_t>() << std::max(shape[0], shape[1]);
}
void axpy::enqueue(driver::CommandQueue & queue, driver::Program & program, const char * suffix, base & fallback, controller<expressions_tuple> const & controller)
{
expressions_tuple const & expressions = controller.x();
//Size
int_t size = input_sizes(expressions)[0];
//Fallback
if(p_.simd_width > 1 && (requires_fallback(expressions) || (size%p_.simd_width>0)))
{
fallback.enqueue(queue, program, "fallback", fallback, controller);
return;
}
//Kernel
char name[32] = {"axpy"};
strcat(name, suffix);
driver::Kernel kernel(program, name);
//NDRange
driver::NDRange global(p_.local_size_0*p_.num_groups);
driver::NDRange local(p_.local_size_0);
//Arguments
unsigned int current_arg = 0;
kernel.setSizeArg(current_arg++, size);
set_arguments(expressions, kernel, current_arg);
controller.execution_options().enqueue(program.context(), kernel, global, local);
}
}
}