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-rw-r--r--thirdparty/oidn/mkl-dnn/src/cpu/gemm_convolution_utils.cpp771
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diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/gemm_convolution_utils.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/gemm_convolution_utils.cpp
deleted file mode 100644
index f133b1e62b..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/gemm_convolution_utils.cpp
+++ /dev/null
@@ -1,771 +0,0 @@
-/*******************************************************************************
-* Copyright 2016-2018 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 "mkldnn_types.h"
-
-#include "c_types_map.hpp"
-#include "type_helpers.hpp"
-#include "mkldnn_thread.hpp"
-#include "utils.hpp"
-#include "cpu_isa_traits.hpp"
-
-#include "gemm_convolution_utils.hpp"
-#include "jit_generator.hpp"
-
-namespace mkldnn {
-namespace impl {
-namespace cpu {
-
-using namespace mkldnn::impl::status;
-using namespace mkldnn::impl::utils;
-using namespace prop_kind;
-using namespace data_type;
-
-namespace jit_gemm_convolution_utils {
-
-void im2col_3d(const jit_gemm_conv_conf_t &jcp, const float *im, float *col,
- int od)
-{
- const size_t OHW = jcp.oh * jcp.ow;
- const size_t im_step = jcp.ih * jcp.iw * jcp.id;
- const size_t col_step = jcp.ks * OHW;
-
- parallel_nd(jcp.ic, [&](int ic) {
- const float *__restrict im_loc = im + ic * im_step;
- float *__restrict col_loc = col + ic * col_step;
- int id = od * jcp.stride_d - jcp.f_pad;
- for (int kd = 0; kd < jcp.kd; ++kd) {
- float *__restrict col_ = col_loc + kd * jcp.kh * jcp.kw * OHW;
- if (id < 0 || id >= jcp.id) {
- int ih_ = -jcp.t_pad;
- for (int kh = 0; kh < jcp.kh; ++kh) {
- int ih = ih_;
- for (int oh = 0; oh < jcp.oh; ++oh) {
- if (ih < 0 || ih >= jcp.ih) {
- ih += jcp.stride_h;
- continue;
- }
- int iw_ = -jcp.l_pad;
- for (int kw = 0; kw < jcp.kw; ++kw) {
- int iw = iw_;
- for (int ow = 0; ow < jcp.ow; ++ow) {
- if (iw < 0 || iw >= jcp.iw) {
- iw += jcp.stride_w;
- continue;
- }
-
- const size_t col_idx = kw * OHW + oh * jcp.ow
- + ow;
-
- col_[col_idx] = 0;
- iw += jcp.stride_w;
- }
- iw_ += (1 + jcp.dilate_w);
- }
- ih += jcp.stride_h;
- }
- ih_ += (1 + jcp.dilate_h);
- col_ += jcp.kw * OHW;
- }
- } else {
- const float *__restrict im_ = im_loc + id * jcp.ih * jcp.iw;
- int ih_ = -jcp.t_pad;
- for (int kh = 0; kh < jcp.kh; ++kh) {
- int ih = ih_;
- for (int oh = 0; oh < jcp.oh; ++oh) {
- if (ih < 0 || ih >= jcp.ih) {
- ih += jcp.stride_h;
- continue;
- }
- int iw_ = -jcp.l_pad;
- for (int kw = 0; kw < jcp.kw; ++kw) {
- int iw = iw_;
- for (int ow = 0; ow < jcp.ow; ++ow) {
- if (iw < 0 || iw >= jcp.iw) {
- iw += jcp.stride_w;
- continue;
- }
-
- const size_t col_idx = kw * OHW + oh * jcp.ow
- + ow;
- const size_t im_idx = ih * jcp.iw + iw;
-
- col_[col_idx] = im_[im_idx];
- iw += jcp.stride_w;
- }
- iw_ += (1 + jcp.dilate_w);
- }
- ih += jcp.stride_h;
- }
- ih_ += (1 + jcp.dilate_h);
- col_ += jcp.kw * OHW;
- }
- }
- id += (1 + jcp.dilate_d);
- }
- });
-}
-
-/* col[ic][kh][kw][oh][ow] <-- im2col(im[ic][ih][iw]) */
-void im2col(const jit_gemm_conv_conf_t &jcp, const float *__restrict im,
- float *__restrict col, int hs, int hb, int ws, int wb) {
- const size_t im_step = jcp.is;
- const size_t col_step = jcp.ks * hb * wb;
- if (jcp.stride_w == 1) {
- // Generated code is more optimized for stride_w == 1
- // because innermost loop is by width
- auto ker = [&](int ic, int kh, int kw, int oh) {
- const float *__restrict im_ = im + ic * im_step;
- float *__restrict col_
- = col + ic * col_step + ((kh * jcp.kw + kw) * hb + oh) * wb;
-
- const int ih = (oh + hs) * jcp.stride_h - jcp.t_pad
- + kh * (1 + jcp.dilate_h);
- if (ih < 0 || ih >= jcp.ih) {
- for (int ow = 0; ow < wb; ++ow)
- col_[ow] = 0.f;
- } else {
- for (int ow = 0; ow < wb; ++ow) {
- const int iw = ow + ws - jcp.l_pad + kw * (1 + jcp.dilate_w);
- if (iw < 0 || iw >= jcp.iw)
- col_[ow] = 0.f;
- else {
- const size_t im_idx = ih * jcp.iw + iw;
- col_[ow] = im_[im_idx];
- }
- }
- }
- };
-
- if (jcp.outer_threading) {
- for (int ic = 0; ic < jcp.ic; ic++)
- for (int kh = 0; kh < jcp.kh; kh++)
- for (int kw = 0; kw < jcp.kw; kw++)
- for (int oh = 0; oh < hb; oh++)
- ker(ic, kh, kw, oh);
- }
- else {
- parallel_nd(jcp.ic, jcp.kh, jcp.kw, hb, ker);
- }
- } else if (jcp.ic == 1) {
- parallel_nd(jcp.kh, hb, [&](int kh, int oh) {
- const int ih = (oh + hs) * jcp.stride_h - jcp.t_pad
- + kh * (1 + jcp.dilate_h);
- if (ih < 0 || ih >= jcp.ih)
- for (int kw = 0; kw < jcp.kw; ++kw) {
- for (int ow = 0; ow < wb; ++ow) {
- const size_t col_idx
- = ((kh * jcp.kw + kw) * hb + oh) * wb + ow;
- col[col_idx] = 0;
- }
- }
- else
- for (int kw = 0; kw < jcp.kw; ++kw) {
- for (int ow = 0; ow < wb; ++ow) {
- const int iw = (ow + ws) * jcp.stride_w - jcp.l_pad
- + kw * (1 + jcp.dilate_w);
- const size_t col_idx
- = ((kh * jcp.kw + kw) * hb + oh) * wb + ow;
- const size_t im_idx = ih * jcp.iw + iw;
- if (iw < 0 || iw >= jcp.iw)
- col[col_idx] = 0;
- else
- col[col_idx] = im[im_idx];
- }
- }
- });
- } else {
-
- parallel_nd(jcp.ic, jcp.kh, jcp.kw, hb,
- [&](int ic, int kh, int kw, int oh) {
- const float *__restrict im_ = im + ic * im_step;
- float *__restrict col_ = col + ic * col_step
- + ((kh * jcp.kw + kw) * hb + oh) * wb;
-
- const int ih = (oh + hs) * jcp.stride_h - jcp.t_pad
- + kh * (1 + jcp.dilate_h);
- if (ih < 0 || ih >= jcp.ih) {
- for (int ow = 0; ow < wb; ++ow)
- col_[ow] = 0.f;
- } else {
- for (int ow = 0; ow < wb; ++ow) {
- const int iw = (ow + ws) * jcp.stride_w - jcp.l_pad
- + kw * (1 + jcp.dilate_w);
- const size_t im_idx = ih * jcp.iw + iw;
- if (iw < 0 || iw >= jcp.iw)
- col_[ow] = 0.f;
- else
- col_[ow] = im_[im_idx];
- }
- }
- });
- }
-}
-
-inline int limit(int low, int upper, int value) {
- return nstl::max(low, nstl::min(upper, value));
-}
-
-/* col[kh][kw][ic][oh][ow] <-- im2col_u8(im[ih][iw][ic]) */
-template <typename T>
-void im2col_u8(const jit_gemm_conv_conf_t &jcp, const T *__restrict im,
- T *__restrict imtr, uint8_t *__restrict col, int hs, int hb, int ws,
- int wb) {
- uint8_t shift = jcp.signed_input ? 128 : 0;
- const int dh = 1 + jcp.dilate_h;
- const int dw = 1 + jcp.dilate_w;
- const int sh = jcp.stride_h;
- const int sw = jcp.stride_w;
- const int im_iw_stride = jcp.ic * jcp.ngroups;
- const int im_ih_stride = jcp.iw * im_iw_stride;
- const int tp = jcp.t_pad;
- const int lp = jcp.l_pad;
-
- if (jcp.outer_threading && sh == 1 && sw == 1 && dh == 1 && dw == 1) {
- /* im[ih][iw][ic] --> imtr[ic][ih][iw] --> col[kh][kw][ic][oh][ow] */
- const int hp = hs - tp;
- const int wp = ws - lp;
- const int ih_start = limit(0, jcp.ih, hp);
- const int ih_end = limit(0, jcp.ih, hp + hb + jcp.kh);
- const int iw_start = limit(0, jcp.iw, wp);
- const int iw_end = limit(0, jcp.iw, wp + wb + jcp.kw);
-
- const int ihb = ih_end - ih_start;
- const int iwb = iw_end - iw_start;
-
- const int imtr_ic_stride = ihb * iwb;
- const ptrdiff_t imtr_idx_shift = ih_start * iwb + iw_start;
- for (int ic = 0; ic < jcp.ic; ic++) {
- const ptrdiff_t imtr_idx_ic = ic * imtr_ic_stride - imtr_idx_shift;
- for (int ih = ih_start; ih < ih_end; ih++) {
- const ptrdiff_t im_idx_ih = ic + ih * im_ih_stride;
- const ptrdiff_t imtr_idx_ih = imtr_idx_ic + ih * iwb;
- for (int iw = iw_start; iw < iw_end; iw++)
- imtr[imtr_idx_ih + iw] = im[im_idx_ih + iw * im_iw_stride];
- }
- }
-
- const int col_ic_str = hb * wb;
- const int col_kw_stride = jcp.ic * col_ic_str;
- const int col_kh_stride = jcp.kw * col_kw_stride;
-
- const int oh_init = ih_start - hp;
- const int ow_init = iw_start - wp;
- for (int kh = 0; kh < jcp.kh; kh++) {
- const ptrdiff_t col_idx_kh = kh * col_kh_stride;
- const int oh_kh = oh_init - kh;
- const int oh_start = limit(0, hb, oh_kh);
- const int oh_end = limit(0, hb, oh_kh + ihb);
- for (int kw = 0; kw < jcp.kw; kw++) {
- const ptrdiff_t col_idx_kw
- = col_idx_kh + kw * jcp.ic * col_ic_str;
- const int ow_kw = ow_init - kw;
- const int imtr_shift = oh_kh * iwb + ow_kw;
- const int ow_start = limit(0, wb, ow_kw);
- const int ow_end = limit(0, wb, ow_kw + iwb);
- for (int ic = 0; ic < jcp.ic; ic++) {
- const ptrdiff_t col_idx_ic = col_idx_kw + ic * col_ic_str;
- const int imtr_idx_ic = ic * imtr_ic_stride - imtr_shift;
- for (int oh = 0; oh < oh_start; oh++) {
- const ptrdiff_t col_idx_oh = col_idx_ic + oh * wb;
- for (int ow = 0; ow < wb; ++ow)
- col[col_idx_oh + ow] = shift;
- }
- for (int oh = oh_start; oh < oh_end; oh++) {
- const ptrdiff_t col_idx_oh = col_idx_ic + oh * wb;
- const ptrdiff_t imtr_idx_oh = imtr_idx_ic + oh * iwb;
- for (int ow = 0; ow < ow_start; ++ow)
- col[col_idx_oh + ow] = shift;
- for (int ow = ow_start; ow < ow_end; ++ow)
- col[col_idx_oh + ow]
- = imtr[imtr_idx_oh + ow] + shift;
- for (int ow = ow_end; ow < wb; ++ow)
- col[col_idx_oh + ow] = shift;
- }
- for (int oh = oh_end; oh < hb; oh++) {
- const ptrdiff_t col_idx_oh = col_idx_ic + oh * wb;
- for (int ow = 0; ow < wb; ++ow)
- col[col_idx_oh + ow] = shift;
- }
- }
- }
- }
- } else {
- parallel_nd(jcp.kh, jcp.kw, jcp.ic, hb,
- [&](int kh, int kw, int ic, int oh) {
- const int hp = tp - kh * dh;
- const int ih = (oh + hs) * sh - hp;
- const ptrdiff_t col_idx_base
- = (((kh * jcp.kw + kw) * jcp.ic + ic) * hb + oh) * wb;
- if (ih < 0 || ih >= jcp.ih)
- for (int ow = 0; ow < wb; ow++)
- col[col_idx_base + ow] = shift;
- else {
- const int wp = lp - kw * dw;
- const int ow_start = limit(0, wb, div_up(wp, sw) - ws);
- const int ow_end
- = limit(0, wb, div_up(jcp.iw + wp, sw) - ws);
- for (int ow = 0; ow < ow_start; ow++)
- col[col_idx_base + ow] = shift;
- const int iw_base = ws * sw - wp;
- const ptrdiff_t im_idx_base = ih * im_ih_stride + ic;
- for (int ow = ow_start; ow < ow_end; ow++) {
- const int iw = iw_base + ow * sw;
- const ptrdiff_t im_idx
- = im_idx_base + iw * im_iw_stride;
- col[col_idx_base + ow] = im[im_idx] + shift;
- }
- for (int ow = ow_end; ow < wb; ow++)
- col[col_idx_base + ow] = shift;
- }
- });
- }
-}
-
-template void im2col_u8<int8_t>(const jit_gemm_conv_conf_t &jcp,
- const int8_t *__restrict im, int8_t *__restrict imtr,
- uint8_t *__restrict col, int hs, int hb, int ws, int wb);
-template void im2col_u8<uint8_t>(const jit_gemm_conv_conf_t &jcp,
- const uint8_t *__restrict im, uint8_t *__restrict imtr,
- uint8_t *__restrict col, int hs, int hb, int ws, int wb);
-
-/* im[ih][iw][ic] <-- col2im_s32(col[oh][ow][kh][kw][ic]) */
-void col2im_s32(const jit_gemm_conv_conf_t &jcp, const int32_t *__restrict col,
- int32_t *__restrict im)
-{
- parallel(0, [&](const int ithr, const int nthr) {
- int h_nthr = nstl::min(jcp.ih, nthr);
- int w_nthr = nstl::min(jcp.iw, nthr / h_nthr);
- int h_ithr = 1, h_s = 0, h_e = 0, w_ithr = 1, w_s = 0, w_e = 0;
- if (ithr < h_nthr * w_nthr) {
- h_ithr = ithr / w_nthr;
- w_ithr = ithr % w_nthr;
- balance211(jcp.ih, h_nthr, h_ithr, h_s, h_e);
- balance211(jcp.iw, w_nthr, w_ithr, w_s, w_e);
- } else {
- h_ithr = w_ithr = -ithr;
- h_s = h_e = w_s = w_e = -1;
- }
-
- for (int ih = h_s; ih < h_e; ++ih) {
- for (int iw = w_s; iw < w_e; ++iw) {
- PRAGMA_OMP_SIMD()
- for (int ic = 0; ic < jcp.ic; ++ic) {
- im[(ih * jcp.iw + iw) * jcp.ic + ic] = 0;
- }
- }
- }
-
- // TODO: reduce region: [0.. oh] --> [h_s * sh .. h_e * sh]
- for (int oh = 0; oh < jcp.oh; ++oh) {
- for (int ow = 0; ow < jcp.ow; ++ow) {
- for (int kh = 0; kh < jcp.kh; ++kh) {
- const int ih = oh * jcp.stride_h
- - jcp.t_pad + kh * (1 + jcp.dilate_h);
- if (ih < h_s || ih >= h_e) continue;
-
- for (int kw = 0; kw < jcp.kw; ++kw) {
- const int iw = ow * jcp.stride_w
- - jcp.l_pad + kw * (1 + jcp.dilate_w);
- if (iw < w_s || iw >= w_e) continue;
-
- const size_t col_idx = (((oh * jcp.ow + ow) * jcp.kh
- + kh) * jcp.kw + kw) * jcp.ic;
- const size_t im_idx
- = (ih * jcp.iw + iw) * jcp.ic;
- PRAGMA_OMP_SIMD()
- for (int ic = 0; ic < jcp.ic; ++ic) {
- im[im_idx + ic] += col[col_idx + ic];
- }
- }
- }
- }
- }
- });
-}
-
-void col2im_3d(const jit_gemm_conv_conf_t &jcp, const float *col, float *im,
- int od)
-{
- parallel_nd(jcp.ic, [&](int ic) {
- const float *__restrict col_ = col + (size_t)ic * jcp.ks * jcp.os;
- float *__restrict im_ic = im + (size_t)ic * jcp.ih * jcp.iw * jcp.id;
-
- int id = od * jcp.stride_d - jcp.f_pad;
- for (int kd = 0; kd < jcp.kd; ++kd) {
- if (id < 0 || id >= jcp.id) {
- col_ += jcp.kh * jcp.kw * jcp.os;
- id += (1 + jcp.dilate_d);
- continue;
- }
-
- float *__restrict im_ = im_ic + id * jcp.ih * jcp.iw;
-
- for (int oh = 0; oh < jcp.oh; ++oh) {
- for (int kh = 0; kh < jcp.kh; ++kh) {
- const int ih = oh * jcp.stride_h - jcp.t_pad
- + kh * (1 + jcp.dilate_h);
- if (ih < 0 || ih >= jcp.ih) continue;
-
- for (int ow = 0; ow < jcp.ow; ++ow) {
- for (int kw = 0; kw < jcp.kw; ++kw) {
- const int iw = ow * jcp.stride_w - jcp.l_pad
- + kw * (1 + jcp.dilate_w);
- if (iw < 0 || iw >= jcp.iw) continue;
-
- const size_t col_idx = ((kh*jcp.kw + kw)*jcp.oh+oh)*jcp.ow+ow;
- const size_t im_idx = ih*jcp.iw + iw;
- im_[im_idx] += col_[col_idx];
- }}
- }}
-
- col_ += jcp.kh * jcp.kw * jcp.os;
- id += (1 + jcp.dilate_d);
- }
- });
-}
-
-void col2im(const jit_gemm_conv_conf_t &jcp, const float *col, float *im) {
- const size_t col_step = jcp.ks * jcp.os;
- const size_t im_step = jcp.ih * jcp.iw;
- const int iS = jcp.ih * jcp.iw;
-
- parallel_nd(jcp.ic, [&](int ic) {
- float *__restrict im_ = im + ic * im_step;
- const float *__restrict col_ = col + ic * col_step;
- PRAGMA_OMP_SIMD()
- for (int is = 0; is < iS; ++is) im_[is] = 0.;
-
- for (int kh = 0; kh < jcp.kh; ++kh) {
- for (int oh = 0; oh < jcp.oh; ++oh) {
- const int ih =
- oh * jcp.stride_h - jcp.t_pad + kh * (1 + jcp.dilate_h);
- if (ih < 0 || ih >= jcp.ih) continue;
-
- for (int kw = 0; kw < jcp.kw; ++kw) {
- for (int ow = 0; ow < jcp.ow; ++ow) {
- const int iw =
- ow * jcp.stride_w - jcp.l_pad + kw * (1 + jcp.dilate_w);
- if (iw < 0 || iw >= jcp.iw) continue;
-
- const size_t col_idx = ((kh*jcp.kw + kw)*jcp.oh+oh)*jcp.ow+ow;
- const size_t im_idx = ih*jcp.iw + iw;
- im_[im_idx] += col_[col_idx];
- }
- }
- }
- }
- });
-}
-
-status_t init_conf(jit_gemm_conv_conf_t &jcp,
- memory_tracking::registrar_t &scratchpad, const convolution_desc_t &cd,
- const memory_desc_wrapper &src_d, const memory_desc_wrapper &weights_d,
- const memory_desc_wrapper &dst_d, int max_threads) {
- const bool with_groups = weights_d.ndims() == src_d.ndims() + 1;
- const int ndims = src_d.ndims();
- const int is_1d = ndims == 3;
- const int is_3d = ndims == 5;
-
- jcp.prop_kind = cd.prop_kind;
-
- jcp.ngroups = with_groups ? weights_d.dims()[0] : 1;
- jcp.mb = src_d.dims()[0];
-
- jcp.oc = dst_d.dims()[1] / jcp.ngroups;
- jcp.ic = src_d.dims()[1] / jcp.ngroups;
- jcp.id = is_3d ? src_d.dims()[2] : 1;
- jcp.ih = is_1d ? 1 : src_d.dims()[ndims - 2];
- jcp.iw = src_d.dims()[ndims - 1];
- jcp.od = is_3d ? dst_d.dims()[2] : 1;
- jcp.oh = is_1d ? 1 : dst_d.dims()[ndims - 2];
- jcp.ow = dst_d.dims()[ndims - 1];
-
- jcp.kd = is_3d ? weights_d.dims()[with_groups + 2] : 1;
- jcp.kh = is_1d ? 1 : weights_d.dims()[with_groups + ndims - 2];
- jcp.kw = weights_d.dims()[with_groups + ndims - 1];
-
- jcp.f_pad = is_3d ? cd.padding[0][0] : 0;
- jcp.t_pad = is_1d ? 0 : cd.padding[0][ndims - 4];
- jcp.l_pad = cd.padding[0][ndims - 3];
-
- jcp.stride_d = is_3d ? cd.strides[0] : 1;
- jcp.stride_h = is_1d ? 1 : cd.strides[ndims - 4];
- jcp.stride_w = cd.strides[ndims - 3];
-
- jcp.dilate_d = is_3d ? cd.dilates[0] : 0;
- jcp.dilate_h = is_1d ? 0 : cd.dilates[ndims - 4];
- jcp.dilate_w = cd.dilates[ndims - 3];
-
- jcp.with_bias = cd.bias_desc.format_kind != format_kind::undef
- || cd.diff_bias_desc.format_kind != format_kind::undef;
-
- jcp.is = jcp.ih * jcp.iw;
- jcp.os = jcp.oh * jcp.ow;
- jcp.ks = jcp.kh * jcp.kw * jcp.kd;
-
- jcp.signed_input = src_d.data_type() == data_type::s8;
-
- jcp.im2col_sz = !everyone_is(true,
- jcp.ow == jcp.iw, jcp.oh == jcp.ih, jcp.od == jcp.id,
- jcp.stride_w == 1, jcp.stride_h == 1, jcp.stride_d == 1,
- jcp.ks == 1, !jcp.signed_input)
- ? (ptrdiff_t)jcp.ic * jcp.ks * jcp.os : 0;
-
- jcp.outer_threading = false;
-
- bool is_int8_conv = utils::one_of(src_d.data_type(), s32, s8, u8)
- && weights_d.data_type() == s8;
-
- const int vlen = mayiuse(avx512_common)
- ? cpu_isa_traits<avx512_common>::vlen
- : mayiuse(avx)
- ? cpu_isa_traits<avx>::vlen
- : mayiuse(sse42) ? cpu_isa_traits<sse42>::vlen : 4;
- const int simd_w = vlen / (is_int8_conv ? 1 : 4);
-
- const bool is_bwd_d = jcp.prop_kind == backward_data;
- const bool is_bwd_w = jcp.prop_kind == backward_weights;
- const bool is_fwd = !is_bwd_d && !is_bwd_w;
- jcp.oh_block = is_fwd ? jcp.oh : jcp.ih;
- jcp.ow_block = is_fwd ? jcp.ow : jcp.iw;
-
- using namespace memory_tracking::names;
- bool is_depthwise = jcp.ic == 1 && jcp.oc == 1 && jcp.ngroups != 1;
-
- // TODO: maybe mitigate blocking restriction
- const int wei_size = jcp.oc * jcp.ic * jcp.kh * jcp.kw;
- const int L2 = get_cache_size(2, true)
- / (is_int8_conv ? sizeof(int8_t) : sizeof(float));
- bool is_blocking_applicable = true
- && is_fwd && jcp.im2col_sz
- && jcp.id == 1 && jcp.od == 1
- && jcp.dilate_h == 0 && jcp.dilate_w == 0
- && !is_depthwise
- && wei_size < L2/2;
- if (is_blocking_applicable) {
- // looking for oh and ow blocking
- int h_block{ jcp.oh_block }, w_block{ jcp.ow_block };
- const int ic = jcp.ic;
- const int oc = jcp.oc;
- const int iw = jcp.iw;
- const int ow = jcp.ow;
- const int oh = jcp.oh;
- const int os = oh * ow;
-
- // 1. cache requirement
- int row_size = ic * ow * jcp.ks + 2 * (ic * iw + oc * ow);
- if (is_int8_conv) {
- // Heuristic rule: gemm needed a lot of memory for internal usage
- row_size *= 5;
- // memory for accumulators
- row_size += oc * ow * sizeof(uint32_t);
- // memory for transposition
- row_size += ic * iw;
- }
-
- h_block = nstl::max(1, nstl::min(oh, div_up(L2, row_size)));
- if (h_block == 1) {
- int col_size = ic * jcp.ks + 2 * (ic + oc);
- if (is_int8_conv) {
- col_size *= 5;
- col_size += oc * sizeof(uint32_t);
- col_size += ic;
- }
- w_block = nstl::max(1, nstl::min(ow, div_up(L2, col_size)));
- }
-
- // 2. threading requirement
- if (h_block != oh)
- h_block = nstl::max(1, rnd_dn(h_block, 4));
- if (w_block != ow)
- w_block = nstl::max(1, rnd_dn(w_block, simd_w));
-
- float thr_eff = 0.f;
- float thr_eff_treshold = 0.9f;
- if (w_block == ow) {
- do {
- int nb_h = div_up(oh, h_block);
- size_t work = jcp.ngroups * jcp.mb * jcp.od * nb_h;
- float disb = (float)oh / rnd_up(oh, h_block);
- thr_eff = (float)work / rnd_up(work, max_threads);
- thr_eff = (thr_eff + disb) / 2.f;
- if (thr_eff >= thr_eff_treshold)
- break;
- h_block = rnd_dn(h_block - 4, 4);
- } while (h_block > 0);
- }
- if (thr_eff < thr_eff_treshold) // we didn't find suitable h_block
- {
- h_block = 1;
- int nb_h = oh;
- do {
- int nb_w = div_up(ow, w_block);
- size_t work_amount = jcp.ngroups * jcp.mb * nb_h * nb_w;
- float disb = (float)ow / rnd_up(ow, w_block);
- thr_eff = (float)work_amount / rnd_up(work_amount, max_threads);
- thr_eff = (thr_eff + disb) / 2.f;
- if (thr_eff > thr_eff_treshold)
- break;
- w_block = rnd_dn(w_block - simd_w, simd_w);
- } while (w_block > 0);
- }
- h_block = nstl::max(1, h_block);
- w_block = nstl::max(1, w_block);
- const size_t inner_work = div_up(os, simd_w) * div_up(oc, simd_w);
- const float inner_thr_eff
- = (float)inner_work / rnd_up(inner_work, max_threads);
- if (thr_eff >= inner_thr_eff / 2 && h_block > 0 && w_block > 0) {
- jcp.oh_block = h_block;
- jcp.ow_block = w_block;
- jcp.outer_threading = true;
- }
- // updating jcp.im2col_sz
- if (jcp.oh_block != 1)
- jcp.ow_block = ow;
- jcp.im2col_sz = (ptrdiff_t)ic * jcp.ks * jcp.oh_block * jcp.ow_block;
- }
- // For threading selection in bwd_d we do:
- // 1. Rough estimation of efficiency for inner and outer threading.
- // 2. Gemm size estimation in assumption that it does not work
- // so effectively for small sizes.
- // 64K - this is heuristic gemm size per thread threshold.
- const int gemm_thrld = 64 * 1024;
-
- if (is_int8_conv) {
- if (is_fwd) {
- if (!jcp.outer_threading) {
- bool is_depthwise = jcp.ic == 1 && jcp.oc == 1 && jcp.ngroups != 1;
- const size_t outer_work = jcp.ngroups * jcp.mb;
- const float outer_thr_eff
- = (float)outer_work / rnd_up(outer_work, max_threads);
- const size_t inner_work
- = div_up(jcp.is, simd_w) * div_up(jcp.ic, simd_w);
- const float inner_thr_eff
- = (float)inner_work / rnd_up(inner_work, max_threads);
- jcp.outer_threading = (is_depthwise
- || (jcp.is / max_threads < 64 && jcp.mb != 1))
- && (outer_thr_eff / inner_thr_eff >= 1.f
- || (jcp.os * jcp.ic * jcp.oc) / max_threads < gemm_thrld);
- }
- jcp.nthr = jcp.outer_threading ? max_threads : 1;
- scratchpad.book(key_conv_gemm_col,
- sizeof(int8_t) * jcp.nthr * jcp.im2col_sz);
- scratchpad.book(key_conv_int_dat_in_acc_dt,
- sizeof(int32_t) * jcp.nthr * jcp.oh_block * jcp.ow_block * jcp.oc);
- scratchpad.book(key_conv_gemm_imtr,
- sizeof(int8_t) * jcp.nthr * jcp.is * jcp.ic);
- } else if (is_bwd_d) {
- bool is_depthwise = jcp.ic == 1 && jcp.oc == 1 && jcp.ngroups != 1;
- const size_t outer_work = jcp.ngroups * jcp.mb;
- const float outer_thr_eff
- = (float)outer_work / rnd_up(outer_work, max_threads);
- const size_t inner_work
- = div_up(jcp.is, simd_w) * div_up(jcp.ic, simd_w);
- const float inner_thr_eff
- = (float)inner_work / rnd_up(inner_work, max_threads);
- jcp.outer_threading = (is_depthwise
- || (jcp.is / max_threads < 64 && jcp.mb != 1))
- && (outer_thr_eff / inner_thr_eff >= 1.f
- || (jcp.is * jcp.ic * jcp.oc) / max_threads < gemm_thrld);
-
- jcp.nthr = jcp.outer_threading ? max_threads : 1;
- scratchpad.book(key_conv_gemm_col,
- sizeof(int32_t) * jcp.nthr * jcp.im2col_sz);
- scratchpad.book(key_conv_int_dat_in_acc_dt,
- sizeof(int32_t) * jcp.nthr * jcp.is * jcp.ic);
- } else if (is_bwd_w) {
- assert(!"unimplemented prop_kind");
- return status::unimplemented;
- }
- } else {
- if (is_fwd) {
- if (!jcp.outer_threading) {
- const size_t outer_work_amount = jcp.ngroups * jcp.mb * jcp.od;
- const float outer_thr_eff = (float)outer_work_amount
- / rnd_up(outer_work_amount, max_threads);
- const size_t inner_work_amount
- = div_up(jcp.os, simd_w) * div_up(jcp.oc, simd_w);
- const float inner_thr_eff = (float)inner_work_amount
- / rnd_up(inner_work_amount, max_threads);
- jcp.outer_threading = jcp.os / max_threads < 512
- && IMPLICATION(jcp.od == 1, jcp.mb != 1 || jcp.ngroups > 2)
- && (outer_thr_eff / inner_thr_eff >= 1.f
- || (jcp.os * jcp.ic * jcp.oc) / max_threads < gemm_thrld);
- }
- } else if (is_bwd_d) {
- const size_t outer_work_amount = jcp.ngroups * jcp.mb;
- const float outer_thr_eff = (float)outer_work_amount
- / rnd_up(outer_work_amount, max_threads);
- const size_t inner_work
- = div_up(jcp.is, simd_w) * div_up(jcp.ic, simd_w);
- const float inner_thr_eff = (float)inner_work
- / rnd_up(inner_work, max_threads);
- jcp.outer_threading = (jcp.os / max_threads < 512 || jcp.ks < 64)
- && (jcp.mb != 1 || jcp.ngroups > 2)
- && (outer_thr_eff / inner_thr_eff >= 1.f
- || (jcp.is * jcp.ic * jcp.oc) / max_threads < gemm_thrld);
- } else if (is_bwd_w)
- jcp.outer_threading = jcp.os / max_threads < 256
- && (jcp.mb != 1 || jcp.ngroups > 2);
-
- jcp.nthr = jcp.outer_threading ? max_threads : 1;
- scratchpad.book(key_conv_gemm_col,
- sizeof(float) * jcp.nthr * jcp.im2col_sz);
-
- if (is_bwd_w) {
- jcp.need_wei_reduction = mkldnn_thr_syncable()
- ? jcp.mb != 1 && jcp.nthr != 1 : false;
- scratchpad.book(key_conv_wei_reduction,
- sizeof(float) * jcp.nthr * jcp.ngroups * weights_d.size());
- }
- }
-
- return status::success;
-}
-
-void bwd_weights_balance(int ithr, int nthr, int ngroups, int mb, int &ithr_g,
- int &nthr_g, int &ithr_mb, int &nthr_mb) {
- nthr_g = nstl::min(ngroups, nthr);
- nthr_mb = nstl::min(mb, nthr / nthr_g);
- if (ithr / nthr_mb >= ngroups) {
- ithr_g = ithr_mb = -1;
- } else {
- ithr_g = ithr / nthr_mb;
- ithr_mb = ithr % nthr_mb;
- }
-}
-
-void bwd_weights_reduction_par(int ithr, int nthr,
- const jit_gemm_conv_conf_t &jcp, const float *weights_reduce_ws,
- float *weights) {
- const size_t weights_g_size = jcp.ic * jcp.oc * jcp.ks;
-
- size_t weights_start{0}, weights_end{0};
- balance211(weights_g_size, nthr, ithr, weights_start, weights_end);
-
- for (int i = 0; i < nthr; ++i) {
- const float *ws_i = weights_reduce_ws + i * weights_g_size;
- for (size_t s = weights_start; s < weights_end; ++s)
- weights[s] = (i == 0 ? 0 : weights[s]) + ws_i[s];
- }
-}
-
-};
-
-}
-}
-}