Files
composable_kernel/reference_operation/include/reference_conv_fwd.hpp
ltqin 880fbee957 NHWC conv 2d: fwd bfp16/int8, Device level tuning and host API (#73)
* add fwd bf16 conv

* change tunning parametor

* add int8 for conv fwd

* remove comments

* change tunning parametor for int8

* change init int8 example

* add test for conv2d fwd

* change device operation file pos because merge develop

* fwd int8 use reference

* test_conv_fwd use reference

* add braket for if statement

* rename fwd example name

* remove StaticBufferOfVectorTypeV2

* tweak example

Co-authored-by: ltqin <letaoqin@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>
2022-02-11 20:06:40 -06:00

177 lines
6.3 KiB
C++

#ifndef REFERENCE_CONV_FWD_HPP
#define REFERENCE_CONV_FWD_HPP
#include <iostream>
#include <sstream>
#include "device_base.hpp"
#include "host_tensor.hpp"
namespace ck {
namespace tensor_operation {
namespace host {
// out[N, K, Ho, Wo] = in[N, C, Hi, Wi] * wei[K, C, Y, X]
template <typename InDataType,
typename WeiDataType,
typename OutDataType,
typename InElementwiseOperation,
typename WeiElementwiseOperation,
typename OutElementwiseOperation>
struct ReferenceConvFwd : public device::BaseOperator
{
// Argument
struct Argument : public device::BaseArgument
{
Argument(const Tensor<InDataType>& in_n_c_hi_wi,
const Tensor<WeiDataType>& wei_k_c_y_x,
Tensor<OutDataType>& out_n_k_ho_wo,
std::vector<ck::index_t> conv_filter_strides,
std::vector<ck::index_t> conv_filter_dilations,
std::vector<ck::index_t> input_left_pads,
std::vector<ck::index_t> input_right_pads,
InElementwiseOperation in_element_op,
WeiElementwiseOperation wei_element_op,
OutElementwiseOperation out_element_op)
: in_n_c_hi_wi_{in_n_c_hi_wi},
wei_k_c_y_x_{wei_k_c_y_x},
out_n_k_ho_wo_{out_n_k_ho_wo},
conv_strides_{conv_filter_strides},
conv_dilations_{conv_filter_dilations},
in_left_pads_{input_left_pads},
in_right_pads_{input_right_pads},
in_element_op_{in_element_op},
wei_element_op_{wei_element_op},
out_element_op_{out_element_op}
{
}
const Tensor<InDataType>& in_n_c_hi_wi_;
const Tensor<WeiDataType>& wei_k_c_y_x_;
Tensor<OutDataType>& out_n_k_ho_wo_;
std::vector<index_t> conv_strides_;
std::vector<index_t> conv_dilations_;
std::vector<index_t> in_left_pads_;
std::vector<index_t> in_right_pads_;
InElementwiseOperation in_element_op_;
WeiElementwiseOperation wei_element_op_;
OutElementwiseOperation out_element_op_;
};
// Invoker
struct Invoker : public device::BaseInvoker
{
using Argument = ReferenceConvFwd::Argument;
float Run(const Argument& arg)
{
auto f_nchw = [&](auto n, auto k, auto ho, auto wo) {
float v_acc = 0;
for(int c = 0; c < arg.wei_k_c_y_x_.mDesc.GetLengths()[1]; ++c)
{
for(int y = 0; y < arg.wei_k_c_y_x_.mDesc.GetLengths()[2]; ++y)
{
int hi = ho * arg.conv_strides_[0] + y * arg.conv_dilations_[0] -
arg.in_left_pads_[0];
for(int x = 0; x < arg.wei_k_c_y_x_.mDesc.GetLengths()[3]; ++x)
{
int wi = wo * arg.conv_strides_[1] + x * arg.conv_dilations_[1] -
arg.in_left_pads_[1];
if(hi >= 0 && hi < arg.in_n_c_hi_wi_.mDesc.GetLengths()[2] && wi >= 0 &&
wi < arg.in_n_c_hi_wi_.mDesc.GetLengths()[3])
{
float v_in;
float v_wei;
arg.in_element_op_(
v_in, ck::type_convert<float>(arg.in_n_c_hi_wi_(n, c, hi, wi)));
arg.wei_element_op_(
v_wei, ck::type_convert<float>(arg.wei_k_c_y_x_(k, c, y, x)));
v_acc += v_in * v_wei;
}
}
}
}
float v_out;
arg.out_element_op_(v_out, v_acc);
arg.out_n_k_ho_wo_(n, k, ho, wo) = ck::type_convert<OutDataType>(v_out);
};
make_ParallelTensorFunctor(f_nchw,
arg.out_n_k_ho_wo_.mDesc.GetLengths()[0],
arg.out_n_k_ho_wo_.mDesc.GetLengths()[1],
arg.out_n_k_ho_wo_.mDesc.GetLengths()[2],
arg.out_n_k_ho_wo_.mDesc.GetLengths()[3])(
std::thread::hardware_concurrency());
return 0;
}
float Run(const device::BaseArgument* p_arg, int) override
{
return Run(*dynamic_cast<const Argument*>(p_arg));
}
};
static constexpr bool IsValidCompilationParameter()
{
// TODO: properly implement this check
return true;
}
bool IsSupportedArgument(const device::BaseArgument*) override { return true; }
static auto MakeArgument(const Tensor<InDataType>& in_n_c_hi_wi,
const Tensor<WeiDataType>& wei_k_c_y_x,
Tensor<OutDataType>& out_n_k_ho_wo,
std::vector<ck::index_t> conv_filter_strides,
std::vector<ck::index_t> conv_filter_dilations,
std::vector<ck::index_t> input_left_pads,
std::vector<ck::index_t> input_right_pads,
InElementwiseOperation in_element_op,
WeiElementwiseOperation wei_element_op,
OutElementwiseOperation out_element_op)
{
return Argument{in_n_c_hi_wi,
wei_k_c_y_x,
out_n_k_ho_wo,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
input_right_pads,
in_element_op,
wei_element_op,
out_element_op};
}
static auto MakeInvoker() { return Invoker{}; }
virtual std::unique_ptr<device::BaseInvoker> MakeInvokerPointer()
{
return std::make_unique<Invoker>(Invoker{});
}
std::string GetTypeString() const override
{
auto str = std::stringstream();
// clang-format off
str << "ReferenceConvFwd"
<< std::endl;
// clang-format on
return str.str();
}
};
} // namespace host
} // namespace tensor_operation
} // namespace ck
#endif