#ifndef CPU_GEMM_X8S8S32X_CONVOLUTION_UTILS_HPP
#define CPU_GEMM_X8S8S32X_CONVOLUTION_UTILS_HPP
#include "cpu/gemm_convolution_utils.hpp"
#if DNNL_X64
#include "cpu/x64/injectors/jit_uni_postops_injector.hpp"
#endif
namespace dnnl {
namespace impl {
namespace cpu {
namespace gemm_x8s8s32x_convolution_utils {
struct pp_ker_t {
static pp_ker_t *create(
const convolution_pd_t *pd, const conv_gemm_conf_t &jcp);
virtual ~pp_ker_t() = default;
using acc_data_t = typename prec_traits_t<data_type::s32>::type;
virtual void operator()(void *dst, const acc_data_t *acc, const char *bias,
const float *scales, float dst_scale, float sum_scale,
float signed_scale, int g, int mb, size_t start, size_t end,
const zero_point_call_params_t &zp,
const void *post_ops_binary_rhs_arg_vec, const void *dst_orig,
const exec_ctx_t &ctx, const memory_desc_t &dst_md,
const single_gemm_conv_chunk_desc_t &chunk_desc) const
= 0;
virtual status_t create_kernel() { return status::success; }
protected:
pp_ker_t(const convolution_pd_t *pd, const conv_gemm_conf_t &jcp);
const conv_gemm_conf_t &jcp_;
};
bool post_ops_ok(const post_ops_t &post_ops, const memory_desc_wrapper *dst_d);
bool post_ops_ok(const post_ops_t &post_ops, const memory_desc_t *dst_d);
bool mayiuse_jit_pp_kernel(data_type_t dst_dt) noexcept;
} } } }
#endif