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-rw-r--r--thirdparty/oidn/mkl-dnn/src/cpu/gemm_x8s8s32x_convolution.cpp740
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diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/gemm_x8s8s32x_convolution.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/gemm_x8s8s32x_convolution.cpp
deleted file mode 100644
index fed7e4d693..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/gemm_x8s8s32x_convolution.cpp
+++ /dev/null
@@ -1,740 +0,0 @@
-/*******************************************************************************
-* Copyright 2017-2018 Intel Corporation
-*
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-* http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*******************************************************************************/
-
-#include "c_types_map.hpp"
-#include "utils.hpp"
-#include "type_helpers.hpp"
-#include "mkldnn_thread.hpp"
-#include "math_utils.hpp"
-
-#include "simple_q10n.hpp"
-
-#include "gemm/gemm.hpp"
-#include "gemm_x8s8s32x_convolution.hpp"
-
-namespace mkldnn {
-namespace impl {
-namespace cpu {
-
-using namespace mkldnn::impl::utils;
-using namespace mkldnn::impl::math;
-using namespace mkldnn::impl::memory_tracking::names;
-
-template <data_type_t src_type, data_type_t dst_type>
-void _gemm_x8s8s32x_convolution_fwd_t<src_type, dst_type>::
-execute_forward(const exec_ctx_t &ctx) const {
- auto src_base = CTX_IN_MEM(const src_data_t *, MKLDNN_ARG_SRC);
- auto wei_base = CTX_IN_MEM(const wei_data_t *, MKLDNN_ARG_WEIGHTS);
- auto bia_base = CTX_IN_MEM(const char *, MKLDNN_ARG_BIAS);
- auto dst_base = CTX_OUT_MEM(dst_data_t *, MKLDNN_ARG_DST);
-
- auto scratchpad = this->scratchpad(ctx);
-
- const jit_gemm_conv_conf_t &jcp = this->pd()->jcp_;
-
- assert(IMPLICATION(
- jcp.id != 1, jcp.oh_block == jcp.oh && jcp.ow_block == jcp.ow));
- assert(IMPLICATION(jcp.ow_block != jcp.ow, jcp.oh_block == 1));
-
- parallel(jcp.nthr, [&](const int ithr, const int nthr) {
- execute_forward_thr(ithr, nthr, src_base, wei_base, bia_base, dst_base,
- scratchpad);
- });
-}
-
-template <data_type_t src_type, data_type_t dst_type>
-_gemm_x8s8s32x_convolution_fwd_t<src_type, dst_type>::pp_ker_t::pp_ker_t(
- const pd_t *pd)
- : ker_(nullptr)
- , jcp_(pd->jcp_)
- , OC_(pd->jcp_.oc)
- , OS_(pd->jcp_.os)
- , bias_data_type_(data_type::undef)
- , bias_data_type_size_(0)
- , scale_idx_mult_(0)
- , do_bias_(false)
- , do_relu_(false)
- , do_sum_(false)
-{
- using namespace types;
-
- const auto dst_md = memory_desc_wrapper(pd->dst_md());
- dst_os_stride_ = dst_md.blk_off(0, 0, 0, 1);
-
- scale_idx_mult_ = (pd->attr()->output_scales_.mask_ == (1 << 1));
-
- auto &post_ops = pd->attr()->post_ops_;
-
- int entry_idx = -1;
- for (int idx = 0; idx < post_ops.len_; ++idx) {
- const auto &e = post_ops.entry_[idx];
- if (e.is_relu(true, false)) {
- entry_idx = idx;
- break;
- }
- }
- do_relu_ = entry_idx >= 0;
-
- do_signed_scaling_ = jcp_.signed_input;
-
- do_sum_ = post_ops.contain(primitive_kind::sum, 0);
- do_bias_ = pd->with_bias();
- bias_data_type_ = pd->desc()->bias_desc.data_type;
- if (do_bias_) {
- assert(bias_data_type_ != data_type::undef);
- bias_data_type_size_ = data_type_size(bias_data_type_);
- }
- const size_t vlen_start
- = cpu_isa_traits<avx512_common>::vlen / sizeof(float);
-
- for (size_t i = vlen_start; i > 0; i--) {
- if (OC_ % i == 0) {
- vlen_ = i;
- break;
- }
- }
-
- if (!mayiuse(avx512_core))
- // use fallback code for older CPUs
- return;
- else
- generate();
-}
-
-template <data_type_t src_type, data_type_t dst_type>
-void _gemm_x8s8s32x_convolution_fwd_t<src_type, dst_type>::pp_ker_t::generate()
-{
- using namespace Xbyak;
- using namespace utils;
-
- // TODO: clean-up
- Reg64 reg_param = abi_param1;
- Reg64 reg_dst = rdx;
- Reg64 reg_acc = rax;
- Reg64 reg_bias = rbx;
- Reg64 reg_scales = rsi;
-
- Reg64 reg_len = r8;
- Reg64 reg_tmp = rcx; // intentional for shifting purposes
- Reg64 reg_oc_offset = r9;
- Reg64 reg_rem_mask_short = r10;
- Reg64 reg_rem_mask_vlen = r11;
- Opmask kreg_rem_mask_short = k1;
- Opmask kreg_rem_mask_vlen = k3;
- Opmask kreg_relu_cmp = k2;
-
- const size_t vlen = vlen_;
-
- Zmm vreg_zero = Zmm(0);
- Zmm vreg_scale = Zmm(1);
- Zmm vreg_nslope = Zmm(2);
- Zmm vreg_sum_scale = Zmm(3);
- Zmm vreg_signed_scale = Zmm(4);
-
- size_t def_unroll = 4;
- size_t max_unroll = 12;
- size_t zmm_step = 2;
- if (do_sum_) {
- max_unroll = 8;
- zmm_step = 3;
- }
-
- auto vreg_dst = [&](int idx) {
- return Zmm(5 + idx * zmm_step + 0);
- };
- auto vreg_bias = [&](int idx) {
- return Zmm(5 + idx * zmm_step + 1);
- };
- auto vreg_prev_dst = [&](int idx) {
- return Zmm(5 + idx * zmm_step + 2);
- };
-
- preamble();
-
-#define PARAM_OFF(x) offsetof(ker_args, x)
- mov(reg_dst, ptr[reg_param + PARAM_OFF(dst)]);
- mov(reg_acc, ptr[reg_param + PARAM_OFF(acc)]);
- mov(reg_bias, ptr[reg_param + PARAM_OFF(bias)]);
- mov(reg_scales, ptr[reg_param + PARAM_OFF(scales)]);
- mov(reg_len, ptr[reg_param + PARAM_OFF(len)]);
- mov(reg_oc_offset, ptr[reg_param + PARAM_OFF(oc_offset)]);
- vbroadcastss(vreg_nslope, ptr[reg_param + PARAM_OFF(nslope)]);
- vbroadcastss(vreg_sum_scale, ptr[reg_param + PARAM_OFF(sum_scale)]);
- vbroadcastss(vreg_signed_scale, ptr[reg_param + PARAM_OFF(signed_scale)]);
- if (scale_idx_mult_ == 0)
- vbroadcastss(vreg_scale, dword[reg_scales]);
-
-#undef PARAM_OFF
-
- mov(reg_rem_mask_vlen, 1);
- shl(reg_rem_mask_vlen, vlen);
- sub(reg_rem_mask_vlen, 1);
- kmovq(kreg_rem_mask_vlen, reg_rem_mask_vlen);
-
- if (do_relu_ || dst_type == data_type::u8)
- vxorps(vreg_zero, vreg_zero, vreg_zero);
-
- // Load accumulated value, convert to float, apply sum (if any),
- // bias (if any), scaling, and relu (if any);
- // then convert to destination type and store
- auto compute = [&](size_t offset, int idx, bool apply_mask) {
- auto acc_addr = ptr[reg_acc + offset * sizeof(acc_data_t)];
-
- if (scale_idx_mult_ > 0) {
- assert(scale_idx_mult_ == 1);
- auto scale_addr = ptr[reg_scales + offset * sizeof(float)];
- auto vreg_scale_ = vreg_scale;
- if (apply_mask)
- vreg_scale_ = vreg_scale_ | kreg_rem_mask_short;
- else
- vreg_scale_ = vreg_scale_ | kreg_rem_mask_vlen;
- vmovups(vreg_scale_, scale_addr);
- }
-
- auto vreg_dst_ = vreg_dst(idx);
- if (apply_mask)
- vreg_dst_ = vreg_dst_ | kreg_rem_mask_short;
- else
- vreg_dst_ = vreg_dst_ | kreg_rem_mask_vlen;
- vcvtdq2ps(vreg_dst_, acc_addr);
-
- if (do_signed_scaling_)
- vmulps(vreg_dst(idx), vreg_dst(idx), vreg_signed_scale);
-
- if (do_bias_) {
- auto bias_addr = ptr[reg_bias + offset * bias_data_type_size_];
- auto vreg_bias_ = vreg_bias(idx);
- if (apply_mask)
- vreg_bias_ = vreg_bias_ | kreg_rem_mask_short;
- else
- vreg_bias_ = vreg_bias_ | kreg_rem_mask_vlen;
-
- switch (bias_data_type_) {
- case data_type::s8:
- vpmovsxbd(vreg_bias_, bias_addr);
- break;
- case data_type::u8:
- vpmovzxbd(vreg_bias_, bias_addr);
- break;
- case data_type::s32:
- case data_type::f32:
- vmovups(vreg_bias_, bias_addr);
- break;
- default: assert(!"unimplemented");
- }
- if (bias_data_type_ != data_type::f32)
- vcvtdq2ps(vreg_bias(idx), vreg_bias(idx));
- vaddps(vreg_dst(idx), vreg_dst(idx), vreg_bias(idx));
- }
-
- vmulps(vreg_dst(idx), vreg_dst(idx), vreg_scale);
-
- auto dst_addr = ptr[reg_dst + offset * sizeof(dst_data_t)];
-
- if (do_sum_)
- {
- auto vreg_prev_dst_ = vreg_prev_dst(idx);
- if (apply_mask)
- vreg_prev_dst_ = vreg_prev_dst_ | kreg_rem_mask_short;
- else
- vreg_prev_dst_ = vreg_prev_dst_ | kreg_rem_mask_vlen;
-
- switch (dst_type) {
- case data_type::f32:
- case data_type::s32: vmovups(vreg_prev_dst_, dst_addr); break;
- case data_type::s8: vpmovsxbd(vreg_prev_dst_, dst_addr); break;
- case data_type::u8: vpmovzxbd(vreg_prev_dst_, dst_addr); break;
- default: assert(!"unsupported data type");
- }
- if (dst_type != data_type::f32)
- vcvtdq2ps(vreg_prev_dst(idx), vreg_prev_dst(idx));
-
- vfmadd231ps(vreg_dst(idx), vreg_prev_dst(idx), vreg_sum_scale);
- }
-
- if (do_relu_) {
- vcmpps(kreg_relu_cmp, vreg_dst(idx), vreg_zero, _cmp_lt_os);
- vmulps(vreg_dst(idx) | kreg_relu_cmp, vreg_dst(idx), vreg_nslope);
- }
-
- if (dst_type != data_type::f32) {
- vcvtps2dq(vreg_dst(idx), vreg_dst(idx));
- }
-
- if (dst_type == data_type::u8)
- vpmaxsd(vreg_dst(idx), vreg_dst(idx), vreg_zero);
-
- switch (dst_type) {
- case data_type::s8:
- vpmovsdb(dst_addr, vreg_dst_);
- break;
- case data_type::u8:
- vpmovusdb(dst_addr, vreg_dst_);
- break;
- case data_type::f32:
- case data_type::s32:
- vmovups(dst_addr, vreg_dst_);
- break;
- default: assert(!"unimplemented");
- }
- };
-
- // Advance all pointers by an immediate
- auto advance_ptrs_imm = [&](size_t offset) {
- add(reg_dst, offset * sizeof(dst_data_t));
- add(reg_acc, offset * sizeof(acc_data_t));
- if (scale_idx_mult_) {
- assert(scale_idx_mult_ == 1);
- add(reg_scales, offset * sizeof(float));
- }
- if (do_bias_)
- add(reg_bias, offset * bias_data_type_size_);
- };
-
- // Advance all pointers by a value stored in a register
- auto advance_ptrs_reg = [&](Reg64 offset) {
- lea(reg_dst, ptr[reg_dst + offset * sizeof(dst_data_t)]);
- lea(reg_acc, ptr[reg_acc + offset * sizeof(acc_data_t)]);
- if (scale_idx_mult_) {
- assert(scale_idx_mult_ == 1);
- lea(reg_scales, ptr[reg_scales + offset * sizeof(float)]);
- }
- if (do_bias_)
- lea(reg_bias, ptr[reg_bias + offset * bias_data_type_size_]);
- };
-
- // Rewind pointers that point to data that is indexed by output channel
- // (bias or per-oc scaling factors)
- auto rewind_ptrs = [&]() {
- if (do_bias_)
- sub(reg_bias, OC_ * bias_data_type_size_);
- if (scale_idx_mult_) {
- assert(scale_idx_mult_ == 1);
- sub(reg_scales, OC_ * sizeof(float));
- }
- add(reg_dst, (dst_os_stride_ - OC_) * sizeof(dst_data_t));
- };
-
- // <--------- OC --------------->
- //
- // ^ ................+..............+-------------+.......................
- // | . : not accessed |Prologue loop| .
- // | . +--------------+-------------+ .
- // . | | .
- // O . | Main loop (unrolled) | .
- // S . | | .
- // . +--------------+-------------+ .
- // | . | Epilogue loop|not accessed : .
- // v ................+--------------+.............+.......................
-
- Label prologue_end;
- cmp(reg_oc_offset, 0);
- je(prologue_end, T_NEAR);
-
- // Prologue loop
- {
- mov(reg_tmp, OC_);
- sub(reg_tmp, reg_oc_offset);
- cmp(reg_tmp, reg_len);
- cmovg(reg_tmp, reg_len);
- sub(reg_len, reg_tmp);
-
- Label prologue_loop, prologue_loop_tail, prologue_loop_end;
- cmp(reg_tmp, vlen);
- jle(prologue_loop_tail, T_NEAR);
- L(prologue_loop); {
- compute(0, 0, false);
- advance_ptrs_imm(vlen);
- sub(reg_tmp, vlen);
- cmp(reg_tmp, vlen);
- jge(prologue_loop, T_NEAR);
- }
-
- L(prologue_loop_tail);
- mov(reg_rem_mask_short, 1);
- // cl == reg_tmp because reg_tmp <= vlen here
- shl(reg_rem_mask_short, cl);
- sub(reg_rem_mask_short, 1);
- jz(prologue_loop_end, T_NEAR);
-
- kmovq(kreg_rem_mask_short, reg_rem_mask_short);
- compute(0, 0, true);
- advance_ptrs_reg(reg_tmp);
-
- L(prologue_loop_end);
- rewind_ptrs();
- }
- L(prologue_end);
-
- // Main loop
- Label main_loop_end;
- {
- cmp(reg_len, OC_);
- jle(main_loop_end, T_NEAR);
-
- Label main_loop;
- L(main_loop); {
- size_t OC_loop, OC_tail;
- if (OC_ < max_unroll * vlen) {
- // Fully unroll small loops
- OC_loop = 0;
- OC_tail = OC_;
- }
- else {
- OC_loop = vlen * def_unroll;
- OC_tail = OC_ % OC_loop;
- }
-
- assert(!!OC_loop || !!OC_tail);
-
- if (OC_tail % vlen) {
- int vlen_tail = OC_tail % vlen;
- unsigned tail_mask = (1 << vlen_tail) - 1;
- mov(reg_tmp, tail_mask);
- kmovq(kreg_rem_mask_short, reg_tmp);
- }
-
- if (OC_loop) {
- mov(reg_tmp, rnd_dn(OC_, OC_loop));
- Label oc_loop;
- L(oc_loop); {
- for (size_t offset = 0; offset < OC_loop; offset += vlen)
- compute(offset, offset / vlen, false);
- advance_ptrs_imm(OC_loop);
- sub(reg_tmp, OC_loop);
- jnz(oc_loop);
- }
- }
-
- if (OC_tail) {
- for (size_t offset = 0; offset < OC_tail; offset += vlen) {
- bool use_mask = (offset + vlen) > OC_tail;
- compute(offset, offset / vlen, use_mask);
- }
- advance_ptrs_imm(OC_tail);
- }
-
- rewind_ptrs();
- sub(reg_len, OC_);
- cmp(reg_len, OC_);
- jge(main_loop, T_NEAR);
- }
- }
- L(main_loop_end);
-
- // Epilogue loop
- Label epilogue_end;
- {
- cmp(reg_len, 0);
- je(epilogue_end, T_NEAR);
-
- Label epilogue_loop, epilogue_loop_tail;
- cmp(reg_len, vlen);
- jle(epilogue_loop_tail, T_NEAR);
- L(epilogue_loop); {
- compute(0, 0, false);
- sub(reg_len, vlen);
- advance_ptrs_imm(vlen);
- cmp(reg_len, vlen);
- jge(epilogue_loop, T_NEAR);
- }
-
- L(epilogue_loop_tail);
- mov(reg_tmp, reg_len); // reg_tmp is rcx, and we need cl for the shift
- mov(reg_rem_mask_short, 1);
- shl(reg_rem_mask_short, cl); // reg_tmp == rcx and reg_tail < vlen
- sub(reg_rem_mask_short, 1);
- jz(epilogue_end, T_NEAR);
- kmovq(kreg_rem_mask_short, reg_rem_mask_short);
- compute(0, 0, true);
- }
-
- L(epilogue_end);
-
- postamble();
-
- ker_ = getCode<decltype(ker_)>();
-}
-
-template <data_type_t src_type, data_type_t dst_type>
-void _gemm_x8s8s32x_convolution_fwd_t<src_type, dst_type>::pp_ker_t::operator ()
- (dst_data_t *dst, const acc_data_t *acc, const char *bias,
- const float *scales, float nslope, float sum_scale, float signed_scale,
- int g, size_t start, size_t end)
-{
- using math::get_bias;
-
- if (end <= start)
- return;
-
- if (ker_) {
- // JIT
- ker_args args;
- size_t oc_offset = start % OC_;
- size_t os_offset = start / OC_;
- args.acc = acc + start;
- args.dst = dst + os_offset * dst_os_stride_ + oc_offset;
- args.bias = bias + (g * jcp_.oc + oc_offset) * bias_data_type_size_;
- args.scales = scales + scale_idx_mult_ * (g * jcp_.oc + oc_offset);
- args.nslope = nslope;
- args.sum_scale = sum_scale;
- args.signed_scale = signed_scale;
- args.len = end - start;
- args.oc_offset = oc_offset;
- ker_(&args);
- }
- else {
- // Fallback
- const size_t first_oc = start % OC_;
- const size_t last_oc = (end - 1) % OC_;
- const size_t first_os = start / OC_;
- const size_t last_os = (end - 1) / OC_;
- for (size_t os = first_os; os <= last_os; os++) {
- const size_t start_oc = (os == first_os) ? first_oc : 0;
- const size_t end_oc = (os == last_os) ? last_oc : OC_ - 1;
- for (size_t oc = start_oc; oc <= end_oc; oc++) {
- const size_t acc_off = os * jcp_.oc + oc;
- const size_t dst_off = os * dst_os_stride_ + oc;
-
- float d = (float)(acc[acc_off]);
- if (jcp_.signed_input)
- d *= signed_scale;
-
- if (do_bias_)
- d += get_bias(bias, g * jcp_.oc + oc,
- bias_data_type_);
-
- d *= scales[(g * jcp_.oc + oc) * scale_idx_mult_];
- if (do_sum_)
- d += sum_scale * dst[dst_off];
- if (do_relu_ && d < 0)
- d *= nslope;
- dst[dst_off] = qz_a1b0<float, dst_data_t>()(d);
- }
- }
- }
-};
-
-template <data_type_t src_type, data_type_t dst_type>
-void _gemm_x8s8s32x_convolution_fwd_t<src_type, dst_type>::
-execute_forward_thr(const int ithr, const int nthr, const src_data_t *src_base,
- const wei_data_t *wei_base, const char *bia_base, dst_data_t *dst_base,
- const memory_tracking::grantor_t &scratchpad) const {
- const jit_gemm_conv_conf_t &jcp = this->pd()->jcp_;
-
- const auto src_md = memory_desc_wrapper(pd()->src_md());
- const size_t src_mb_stride = src_md.blk_off(1);
- const size_t src_g_stride = src_md.blk_off(0, 1) * jcp.ic;
-
- const auto wei_md = memory_desc_wrapper(pd()->weights_md(0));
- const size_t wei_g_stride = pd()->with_groups() ? wei_md.blk_off(1) : 0;
-
- const auto dst_md = memory_desc_wrapper(pd()->dst_md());
- const size_t dst_mb_stride = dst_md.blk_off(1);
- const size_t dst_g_stride = dst_md.blk_off(0, 1) * jcp.oc;
-
- const float *scales = pd()->attr()->output_scales_.scales_;
-
- const auto &post_ops = pd()->attr()->post_ops_;
- const bool do_sum = post_ops.contain(primitive_kind::sum, 0);
- const float sum_scale = do_sum ? post_ops.entry_[0].sum.scale : 0;
-
- float nslope = 0;
- for (int idx = 0; idx < post_ops.len_; ++idx) {
- const auto &e = post_ops.entry_[idx];
- if (e.is_relu(true, false)) {
- nslope = e.eltwise.alpha;
- break;
- }
- }
-
- auto col = scratchpad.get<uint8_t>(key_conv_gemm_col)
- + (ptrdiff_t)ithr * jcp.im2col_sz;
- src_data_t *__restrict imtr = scratchpad.get<src_data_t>(key_conv_gemm_imtr)
- + (ptrdiff_t)ithr * jcp.is * jcp.ic;
- auto acc = scratchpad.get<acc_data_t>(key_conv_int_dat_in_acc_dt)
- + (ptrdiff_t)ithr * jcp.oh_block * jcp.ow_block * jcp.oc;
-
- const ptrdiff_t offset = (ptrdiff_t)jcp.ngroups * jcp.ks * jcp.ic * jcp.oc;
- const int32_t *_wei_comp = (const int32_t *)(wei_base + offset);
-
- int g{ 0 }, n{ 0 }, ohb{ 0 }, owb{ 0 };
- size_t start = 0, end = 0;
-
- const int nb_oh = div_up(jcp.oh, jcp.oh_block);
- const int nb_ow = div_up(jcp.ow, jcp.ow_block);
- const size_t work_amount = jcp.ngroups * jcp.mb * nb_oh * nb_ow;
- balance211(work_amount, nthr, ithr, start, end);
- nd_iterator_init(start, n, jcp.mb, g, jcp.ngroups, ohb,
- nb_oh, owb, nb_ow);
-
- for (size_t iwork = start; iwork < end; ++iwork) {
- int oh = ohb * jcp.oh_block;
- int ow = owb * jcp.ow_block;
- const src_data_t *__restrict src = src_base + n * src_mb_stride
- + g * src_g_stride;
- const wei_data_t *__restrict wei = wei_base + g * wei_g_stride;
- dst_data_t *__restrict dst =
- dst_base + n * dst_mb_stride + g * dst_g_stride;
- const int32_t *wei_comp = _wei_comp + g * jcp.oc;
- const int h_step = nstl::min(jcp.oh_block, jcp.oh - oh);
- const int w_step = nstl::min(jcp.ow_block, jcp.ow - ow);
-
- if (jcp.im2col_sz)
- jit_gemm_convolution_utils::im2col_u8<src_data_t>(
- jcp, src, imtr, col, oh, h_step, ow, w_step);
-
- const int M = jcp.oc;
- const int K = jcp.ks * jcp.ic;
- const int N = h_step * w_step;
- const int LDA = M * jcp.ngroups;
- const int LDB = jcp.im2col_sz ? N : K;
- const char *BT = jcp.im2col_sz ? "T" : "N";
- const int8_t off_a = 0, off_b = 0;
- const int32_t off_c = 0;
- const float onef = 1.0, zerof = 0.0;
- gemm_s8x8s32("N", BT, jcp.signed_input ? "C" : "F",
- &M, &N, &K, &onef, wei, &LDA, &off_a,
- jcp.im2col_sz ? col : (uint8_t *)src, &LDB, &off_b,
- &zerof, acc, &M, jcp.signed_input ? wei_comp : &off_c);
-
- auto wei_adj_scale =
- (wei_md.extra().flags | memory_extra_flags::scale_adjust)
- ? wei_md.extra().scale_adjust : 1.f;
-
- parallel(0, [&](int ithr, int nthr) {
- size_t start, end;
- balance211((size_t)N * jcp.oc, nthr, ithr, start, end);
- (*pp_ker_)(dst + (oh * jcp.ow + ow) * pp_ker_->dst_os_stride_,
- acc, bia_base, scales, nslope, sum_scale,
- 1.f / wei_adj_scale, g, start, end);
- });
-
- nd_iterator_step(n, jcp.mb, g, jcp.ngroups, ohb, nb_oh,
- owb, nb_ow);
- }
-}
-
-template <data_type_t dst_type>
-void _gemm_u8s8s32x_convolution_bwd_data_t<dst_type>::
-execute_backward_data(const exec_ctx_t &ctx) const {
- auto diff_dst_base = CTX_IN_MEM(const diff_dst_data_t *, MKLDNN_ARG_DIFF_DST);
- auto wei_base = CTX_IN_MEM(const wei_data_t *, MKLDNN_ARG_WEIGHTS);
- auto bia_base = CTX_IN_MEM(const char *, MKLDNN_ARG_BIAS);
- auto diff_src_base = CTX_OUT_MEM(diff_src_data_t *, MKLDNN_ARG_DIFF_SRC);
-
- auto scratchpad = this->scratchpad(ctx);
-
- const jit_gemm_conv_conf_t &jcp = this->pd()->jcp_;
-
- parallel(jcp.nthr, [&](const int ithr, const int nthr) {
- execute_backward_data_thr(ithr, nthr, diff_dst_base, wei_base,
- bia_base, diff_src_base, scratchpad);
- });
-}
-
-template <data_type_t dst_type>
-void _gemm_u8s8s32x_convolution_bwd_data_t<dst_type>::
-execute_backward_data_thr(const int ithr, const int nthr,
- const diff_dst_data_t *diff_dst_base, const wei_data_t *wei_base,
- const char *bia_base, diff_src_data_t *diff_src_base,
- const memory_tracking::grantor_t &scratchpad) const
-{
- const jit_gemm_conv_conf_t &jcp = this->pd()->jcp_;
-
- const auto diff_dst_md = memory_desc_wrapper(pd()->diff_dst_md());
- const size_t diff_dst_mb_stride = diff_dst_md.blk_off(1);
- const size_t diff_dst_g_stride = diff_dst_md.blk_off(0, 1) * jcp.oc;
-
- const auto wei_md = memory_desc_wrapper(pd()->weights_md(0));
- const size_t wei_g_stride = pd()->with_groups() ? wei_md.blk_off(1) : 0;
-
- const auto diff_src_md = memory_desc_wrapper(pd()->diff_src_md());
- const size_t diff_src_mb_stride = diff_src_md.blk_off(1);
- const size_t diff_src_g_stride = diff_src_md.blk_off(0, 1) * jcp.ic;
- const size_t diff_src_os_stride = diff_src_md.blk_off(0, 0, 0, 1);
-
- /* scale_idx_mult = 1 for per_oc scales and 0, otherwise */
- const int scale_idx_mult = pd()->attr()->output_scales_.mask_ == (1 << 1);
- const float *scales = pd()->attr()->output_scales_.scales_;
- const size_t work_amount = jcp.ngroups * jcp.mb;
-
- auto col = scratchpad.get<acc_data_t>(key_conv_gemm_col)
- + (ptrdiff_t)ithr * jcp.im2col_sz;
- auto acc = scratchpad.get<acc_data_t>(key_conv_int_dat_in_acc_dt)
- + (ptrdiff_t)ithr * jcp.is * jcp.ic;
-
- int n{0}, g{0};
- size_t start = 0, end = 0;
-
- balance211(work_amount, nthr, ithr, start, end);
- nd_iterator_init(start, n, jcp.mb, g, jcp.ngroups);
-
- for (size_t iwork = start; iwork < end; ++iwork) {
- const diff_dst_data_t *diff_dst = diff_dst_base
- + n * diff_dst_mb_stride + g * diff_dst_g_stride;
- const wei_data_t *wei = wei_base + g * wei_g_stride;
- diff_src_data_t *diff_src = diff_src_base + n * diff_src_mb_stride
- + g * diff_src_g_stride;
-
- const int M = jcp.ks * jcp.ic;
- const int N = jcp.os;
- const int K = jcp.oc;
- const int8_t off_a = 0, off_b = 0;
- const int32_t off_c = 0;
- const float onef = 1.0, zerof = 0.0;
- const int LD = K * jcp.ngroups;
-
- gemm_s8x8s32("T", "N", "F", &M, &N, &K, &onef,
- wei, &LD, &off_a, diff_dst, &LD, &off_b,
- &zerof, jcp.im2col_sz ? col : acc, &M, &off_c);
-
- if (jcp.im2col_sz)
- jit_gemm_convolution_utils::col2im_s32(jcp, col, acc);
-
- parallel_nd(jcp.is, jcp.ic, [&](int is, int ic) {
- float d = (float)acc[is * jcp.ic + ic];
- if (jcp.with_bias)
- d += get_bias(bia_base, g * jcp.ic + ic,
- pd()->desc()->bias_desc.data_type);
- d *= scales[(g * jcp.ic + ic) * scale_idx_mult];
- const size_t diff_src_off = is * diff_src_os_stride + ic;
- diff_src[diff_src_off] =
- qz_a1b0<float, diff_src_data_t>()(d);
- });
- nd_iterator_step(n, jcp.mb, g, jcp.ngroups);
- }
-}
-
-using namespace data_type;
-
-template struct _gemm_x8s8s32x_convolution_fwd_t<u8, f32>;
-template struct _gemm_x8s8s32x_convolution_fwd_t<u8, s32>;
-template struct _gemm_x8s8s32x_convolution_fwd_t<u8, s8>;
-template struct _gemm_x8s8s32x_convolution_fwd_t<u8, u8>;
-
-template struct _gemm_x8s8s32x_convolution_fwd_t<s8, f32>;
-template struct _gemm_x8s8s32x_convolution_fwd_t<s8, s32>;
-template struct _gemm_x8s8s32x_convolution_fwd_t<s8, s8>;
-template struct _gemm_x8s8s32x_convolution_fwd_t<s8, u8>;
-
-template struct _gemm_u8s8s32x_convolution_bwd_data_t<f32>;
-template struct _gemm_u8s8s32x_convolution_bwd_data_t<s32>;
-template struct _gemm_u8s8s32x_convolution_bwd_data_t<s8>;
-template struct _gemm_u8s8s32x_convolution_bwd_data_t<u8>;
-}
-}
-}