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Commit dc536427 authored by carlushuang's avatar carlushuang
Browse files

add kyxck8 in bias_act_add example

parent ad0a4ce1
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library/src/tensor_operation_instance/cpu/conv2d_fwd_bias_activation_add/CMakeLists.txt
View file @ dc536427
# device_conv2d_fwd_bias_activation_add_cpu_instance
set(DEVICE_CONV2D_FWD_CPU_INSTANCE_SOURCE
device_conv2d_bias_activation_add_avx2_nhwc_kyxc_nhwk_instance.cpp
device_conv2d_bias_activation_add_avx2_nhwc_kyxck8_nhwk_instance.cpp
)
add_library(device_conv2d_fwd_bias_activation_add_cpu_instance SHARED ${DEVICE_CONV2D_FWD_CPU_INSTANCE_SOURCE})
target_compile_features(device_conv2d_fwd_bias_activation_add_cpu_instance PUBLIC)
......
library/src/tensor_operation_instance/cpu/conv2d_fwd_bias_activation_add/device_conv2d_bias_activation_add_avx2_nhwc_kyxck8_nhwk_instance.cpp 0 → 100644
View file @ dc536427
#include <stdlib.h>
#include "config.hpp"
#include "convolution_forward_specialization_cpu.hpp"
#include "device_convnd_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk.hpp"
#include "element_wise_operation_cpu.hpp"
#include "device_operation_instance.hpp"
namespace ck {
namespace tensor_operation {
namespace cpu {
namespace device {
namespace device_conv2d_fwd_bias_activation_add_avx2_instance {
using InType = float;
using WeiType = float;
using OutType = float;
using AccType = float;
using InLayout = ck::tensor_layout::gemm::RowMajor; // NHWC
using WeiLayout = ck::tensor_layout::gemm::ColumnMajor; // KYXCK8
static constexpr bool NonTemporalStore = false;
using PT = ck::tensor_operation::cpu::element_wise::PassThrough;
using AddReluAdd = ck::tensor_operation::cpu::element_wise::AddReluAdd;
static constexpr auto ConvFwdDefault =
ck::tensor_operation::cpu::device::ConvolutionForwardSpecialization_t::Default;
static constexpr auto ConvFwd1x1P0 =
ck::tensor_operation::cpu::device::ConvolutionForwardSpecialization_t::Filter1x1Pad0;
static constexpr auto ConvFwd1x1S1P0 =
ck::tensor_operation::cpu::device::ConvolutionForwardSpecialization_t::Filter1x1Stride1Pad0;
static constexpr auto DefaultGemmKLoop =
ck::tensor_operation::cpu::device::ConvolutionForwardGemmKSpecialization_t::DefaultGemmKLoop;
static constexpr auto GemmKLoopOverC =
ck::tensor_operation::cpu::device::ConvolutionForwardGemmKSpecialization_t::NHWC_GemmKLoopOverC;
static constexpr auto LoopOver_MNK = ck::tensor_operation::cpu::device::LoopOver_MNK;
static constexpr auto LoopOver_MKN = ck::tensor_operation::cpu::device::LoopOver_MKN;
// clang-format off
#define DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(a_elem_op, b_elem_op, c_elem_op, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m) \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwdDefault, GemmKLoopOverC , LoopOver_MNK, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>, \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwd1x1S1P0, GemmKLoopOverC , LoopOver_MNK, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>, \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwdDefault, DefaultGemmKLoop, LoopOver_MNK, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>, \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwd1x1S1P0, DefaultGemmKLoop, LoopOver_MNK, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>, \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwdDefault, GemmKLoopOverC , LoopOver_MKN, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>, \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwd1x1S1P0, GemmKLoopOverC , LoopOver_MKN, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>, \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwdDefault, DefaultGemmKLoop, LoopOver_MKN, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>, \
DeviceConvNDFwdBiasActivationAddAvx2_Input_N_Hi_Wi_C_Weight_K_Y_X_C_K8_Output_N_Ho_Wo_K<float , float , float, float , float, a_elem_op, b_elem_op, c_elem_op, ConvFwd1x1S1P0, DefaultGemmKLoop, LoopOver_MKN, 2, m_per_block, n_per_block, k_per_block, m_per_thread, n_per_thread, a_local_buf, b_local_buf, c_local_buf, bias_along_m>
// clang-format on
using device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_f32_instances = std::tuple<
// clang-format off
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 256, 128, 64, 6, 16, true, true, false, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 256, 128, 128, 6, 16, true, true, false, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 128, 256, 128, 6, 16, true, true, false, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 512, 240, 128, 4, 24, true, true, false, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 512, 256, 128, 6, 16, true, true, false, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 768, 320, 128, 6, 16, true, true, false, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 896, 352, 128, 6, 16, true, true, false, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 1024, 416, 128, 6, 16, true, true, false, false)>;
// clang-format on
// use this in single thread, but gemm_n is not multiple of 8
using device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_f32_local_c_instances =
std::tuple<
// clang-format off
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 256, 128, 64, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 256, 128, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 128, 256, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 512, 240, 128, 4, 24, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 512, 256, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 768, 320, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 896, 352, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 1024, 416, 128, 6, 16, true, true, true, false)>;
// clang-format on
// use this in multi thread environment (need local C buffer to avoid cache coherence, although some
// time no local c is better...)
using device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_f32_mt_instances = std::tuple<
// clang-format off
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 48, 24, 128, 4, 24, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 72, 16, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 72, 32, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 96, 32, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 96, 64, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 120, 32, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 120, 64, 128, 6, 16, true, true, true, false),
// DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, PT, 256, 128, 64, 6, 16, true, true, true),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 256, 128, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 128, 256, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 512, 240, 128, 4, 24, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 512, 256, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 768, 320, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 896, 352, 128, 6, 16, true, true, true, false),
DEVICE_CONV2D_FWD_BAA_AVX2_NHWC_KYXCK8_NHWK_F32(PT, PT, AddReluAdd, 1024, 416, 128, 6, 16, true, true, true, false)>;
// clang-format on
void add_device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk(
std::vector<DeviceConvFwdBiasActivationAddPtr<PT, PT, AddReluAdd>>& instances)
{
ck::tensor_operation::device::add_device_operation_instances(
instances, device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_f32_instances{});
}
void add_device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_local_c(
std::vector<DeviceConvFwdBiasActivationAddPtr<PT, PT, AddReluAdd>>& instances)
{
ck::tensor_operation::device::add_device_operation_instances(
instances,
device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_f32_local_c_instances{});
}
void add_device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_mt(
std::vector<DeviceConvFwdBiasActivationAddPtr<PT, PT, AddReluAdd>>& instances)
{
ck::tensor_operation::device::add_device_operation_instances(
instances, device_conv2d_fwd_bias_activation_add_avx2_nhwc_kyxck8_nhwk_f32_mt_instances{});
}
} // namespace device_conv2d_fwd_bias_activation_add_avx2_instance
} // namespace device
} // namespace cpu
} // namespace tensor_operation
} // namespace ck
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