#include "src/arm_common/conv_bias/fp32/strategy.h"
#include "src/arm_common/simd_macro/marm_neon.h"
#include "src/arm_common/utils.h"
#include "src/common/unroll_macro.h"
#include "src/common/utils.h"
#include "src/fallback/conv_bias/winograd/winograd.h"
#include "src/arm_common/conv_bias/fp32/helper.h"
#include "src/arm_common/elemwise_helper/op_unary.h"
#include "src/naive/matrix_mul/matrix_mul_helper.h"
#include "midout.h"
MIDOUT_DECL(megdnn_arm_common_winograd_fp32_F54)
using namespace megdnn;
using namespace arm_common;
namespace {
struct FilterTransform5X4 {
#define FILTER_TRANSFORM(d, wd) \
do { \
wd##0 = d##0; \
auto tmp0 = d##0 * 0.7111111f + d##2 * 0.1777778f; \
auto tmp1 = d##1 * 0.3555556f + d##3 * 0.0888889f; \
wd##1 = tmp0 + tmp1; \
wd##2 = tmp0 - tmp1; \
tmp0 = (d##0 + d##2) * -0.2222222f; \
tmp1 = (d##1 + d##3) * -0.2222222f; \
wd##3 = tmp0 + tmp1; \
wd##4 = tmp0 - tmp1; \
tmp0 = d##0 * 0.0111111f + d##2 * 0.0444444f; \
tmp1 = d##1 * 0.0222222f + d##3 * 0.0888889f; \
wd##5 = tmp0 + tmp1; \
wd##6 = tmp0 - tmp1; \
wd##7 = d##3; \
} while (0)
static void transform(
const float* filter, float* filter_transform_buf, float* transform_mid_buf,
size_t OC, size_t IC, size_t oc_start, size_t oc_end) {
constexpr size_t alpha = 4 + 5 - 1;
for (size_t oc = oc_start; oc < oc_end; oc++) {
rep(ic, IC) {
const float* fptr = filter + (oc * IC + ic) * 4 * 4;
#define cb(i) Vector<float, 4> g##i = Vector<float, 4>::load(fptr + 4 * i);
UNROLL_CALL_NOWRAPPER(4, cb);
#undef cb
#define cb(i) Vector<float, 4> wd##i;
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
#define cb(i) Vector<float, 8> wdt##i;
UNROLL_CALL_NOWRAPPER(4, cb);
#undef cb
#define cb(i) Vector<float, 8> ret##i;
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
FILTER_TRANSFORM(g, wd);
#if MEGDNN_AARCH64
TRANSPOSE_8x4(wd, wdt);
FILTER_TRANSFORM(wdt, ret);
#define cb(i) ret##i.save(transform_mid_buf + i * alpha);
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
rep(i, alpha) rep(j, alpha) {
filter_transform_buf[(i * alpha + j) * OC * IC + ic * OC + oc] =
transform_mid_buf[j * alpha + i];
}
#else
#define cb(i) \
do { \
mid_buf1[0] = GET_VECTOR_ELEM(wd, i, 0); \
auto tmp0 = GET_VECTOR_ELEM(wd, i, 0) * 0.7111111f + \
GET_VECTOR_ELEM(wd, i, 2) * 0.1777778f; \
auto tmp1 = GET_VECTOR_ELEM(wd, i, 1) * 0.3555556f + \
GET_VECTOR_ELEM(wd, i, 3) * 0.0888889f; \
mid_buf1[1] = tmp0 + tmp1; \
mid_buf1[2] = tmp0 - tmp1; \
tmp0 = (GET_VECTOR_ELEM(wd, i, 0) + GET_VECTOR_ELEM(wd, i, 2)) * -0.2222222f; \
tmp1 = (GET_VECTOR_ELEM(wd, i, 1) + GET_VECTOR_ELEM(wd, i, 3)) * -0.2222222f; \
mid_buf1[3] = tmp0 + tmp1; \
mid_buf1[4] = tmp0 - tmp1; \
tmp0 = GET_VECTOR_ELEM(wd, i, 0) * 0.0111111f + \
GET_VECTOR_ELEM(wd, i, 2) * 0.0444444f; \
tmp1 = GET_VECTOR_ELEM(wd, i, 1) * 0.0222222f + \
GET_VECTOR_ELEM(wd, i, 3) * 0.0888889f; \
mid_buf1[5] = tmp0 + tmp1; \
mid_buf1[6] = tmp0 - tmp1; \
mid_buf1[7] = GET_VECTOR_ELEM(wd, i, 3); \
mid_buf1 += 8; \
} while (0);
#define GET_VECTOR_ELEM(s, i, idx) vgetq_lane_f32(CONCAT(s, i).value, idx)
float* mid_buf1 = transform_mid_buf;
UNROLL_CALL_NOWRAPPER(8, cb);
mid_buf1 = transform_mid_buf;
#undef cb
rep(i, alpha) rep(j, alpha) {
filter_transform_buf[(i * alpha + j) * OC * IC + ic * OC + oc] =
transform_mid_buf[i * alpha + j];
}
#endif
}
}
}
};
#undef FILTER_TRANSFORM
#undef GET_VECTOR_ELEM
struct InputTransform5X4 {
#define INPUT_TRANSFORM(d, wd) \
do { \
wd##0 = (d##0 - d##6) + (d##4 - d##2) * 5.25f; \
auto tmp0 = d##2 * 4.0f - d##4 * 5.0f + d##6; \
auto tmp1 = d##1 * 2.0f - d##3 * 2.5f + d##5 * 0.5f; \
wd##1 = tmp0 + tmp1; \
wd##2 = tmp0 - tmp1; \
tmp0 = d##2 - d##4 * 4.25f + d##6; \
tmp1 = d##1 - d##3 * 4.25f + d##5; \
wd##3 = tmp0 + tmp1; \
wd##4 = tmp0 - tmp1; \
tmp0 = d##2 * 0.25f - d##4 * 1.25f + d##6; \
tmp1 = d##1 * 0.5f - d##3 * 2.5f + d##5 * 2.0f; \
wd##5 = tmp0 + tmp1; \
wd##6 = tmp0 - tmp1; \
wd##7 = (d##7 - d##1) + (d##3 - d##5) * 5.25f; \
} while (0)
#define GET_VECTOR_HIGH_ELEM(s, i, idx) vgetq_lane_f32(CONCAT(s, i).value.val[1], idx)
#define GET_VECTOR_LOW_ELEM(s, i, idx) vgetq_lane_f32(CONCAT(s, i).value.val[0], idx)
template <bool inner>
static void transform(
const float* input, float* input_transform_buf, float* transform_mid_buf,
int ih_start, int iw_start, size_t ic, size_t IH, size_t IW, size_t IC,
size_t unit_idx, size_t nr_units_in_tile) {
constexpr size_t alpha = 4 + 5 - 1;
if (!inner) {
memset(transform_mid_buf, 0, sizeof(float) * alpha * alpha);
}
#define cb(i) Vector<float, 8> d##i;
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
if (inner) {
const float* input_ptr = input + ic * IH * IW + ih_start * IW + iw_start;
#define cb(i) d##i = Vector<float, 8>::load(input_ptr + IW * i);
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
} else {
int ih0_act = std::max<int>(ih_start, 0),
ih1_act = std::min<int>(ih_start + alpha, IH),
iw0_act = std::max<int>(iw_start, 0),
iw1_act = std::min<int>(iw_start + alpha, IW);
for (int ih = ih0_act; ih < ih1_act; ++ih) {
for (int iw = iw0_act; iw < iw1_act; ++iw) {
size_t iho = ih - ih_start, iwo = iw - iw_start;
transform_mid_buf[iho * alpha + iwo] =
input[ic * IH * IW + ih * IW + iw];
}
}
#define cb(i) d##i = Vector<float, 8>::load(transform_mid_buf + alpha * i);
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
}
#define cb(i) Vector<float, 8> wd##i, ret##i;
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
INPUT_TRANSFORM(d, wd);
#if MEGDNN_AARCH64
TRANSPOSE_8x8(wd, d);
INPUT_TRANSFORM(d, ret);
#define cb(i) ret##i.save(transform_mid_buf + i * alpha);
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
rep(i, alpha) rep(j, alpha) {
input_transform_buf
[(i * alpha + j) * nr_units_in_tile * IC + unit_idx * IC + ic] =
transform_mid_buf[j * alpha + i];
}
#else
#define cb(i) \
do { \
mid_buf1[0] = GET_VECTOR_LOW_ELEM(wd, i, 0) - GET_VECTOR_HIGH_ELEM(wd, i, 2) + \
5.25 * (GET_VECTOR_HIGH_ELEM(wd, i, 0) - \
GET_VECTOR_LOW_ELEM(wd, i, 2)); \
mid_buf1[7] = GET_VECTOR_HIGH_ELEM(wd, i, 3) - GET_VECTOR_LOW_ELEM(wd, i, 1) + \
5.25 * (GET_VECTOR_LOW_ELEM(wd, i, 3) - \
GET_VECTOR_HIGH_ELEM(wd, i, 1)); \
auto tmp0 = 4 * GET_VECTOR_LOW_ELEM(wd, i, 2) + \
-5 * GET_VECTOR_HIGH_ELEM(wd, i, 0) + \
GET_VECTOR_HIGH_ELEM(wd, i, 2); \
auto tmp1 = 2 * GET_VECTOR_LOW_ELEM(wd, i, 1) + \
-2.5 * GET_VECTOR_LOW_ELEM(wd, i, 3) + \
0.5 * GET_VECTOR_HIGH_ELEM(wd, i, 1); \
mid_buf1[1] = tmp0 + tmp1; \
mid_buf1[2] = tmp0 - tmp1; \
tmp0 = GET_VECTOR_LOW_ELEM(wd, i, 2) + \
-4.25 * GET_VECTOR_HIGH_ELEM(wd, i, 0) + GET_VECTOR_HIGH_ELEM(wd, i, 2); \
tmp1 = GET_VECTOR_LOW_ELEM(wd, i, 1) + GET_VECTOR_LOW_ELEM(wd, i, 3) * -4.25 + \
GET_VECTOR_HIGH_ELEM(wd, i, 1); \
mid_buf1[3] = tmp0 + tmp1; \
mid_buf1[4] = tmp0 - tmp1; \
tmp0 = GET_VECTOR_LOW_ELEM(wd, i, 2) * 0.25 + \
GET_VECTOR_HIGH_ELEM(wd, i, 0) * -1.25 + \
GET_VECTOR_HIGH_ELEM(wd, i, 2); \
tmp1 = GET_VECTOR_LOW_ELEM(wd, i, 1) * 0.5 + \
GET_VECTOR_LOW_ELEM(wd, i, 3) * -2.5 + \
GET_VECTOR_HIGH_ELEM(wd, i, 1) * 2; \
mid_buf1[5] = tmp0 + tmp1; \
mid_buf1[6] = tmp0 - tmp1; \
mid_buf1 += 8; \
} while (0);
float* mid_buf1 = transform_mid_buf;
UNROLL_CALL_NOWRAPPER(8, cb);
mid_buf1 = transform_mid_buf;
#undef cb
rep(i, alpha) rep(j, alpha) {
input_transform_buf
[(i * alpha + j) * nr_units_in_tile * IC + unit_idx * IC + ic] =
transform_mid_buf[i * alpha + j];
}
#endif
}
};
#undef INPUT_TRANSFORM
#define OUTPUT_TRANSFORM(m, s) \
do { \
auto m1addm2 = m##1 + m##2; \
auto m1subm2 = m##1 - m##2; \
auto m3addm4 = m##3 + m##4; \
auto m3subm4 = m##3 - m##4; \
auto m5addm6 = (m##5 + m##6); \
auto m5subm6 = (m##5 - m##6); \
s##0 = m##0; \
CONCAT(s, 0).add(m1addm2).add(m3addm4).add(m5addm6); \
CONCAT(s, 1) = m3subm4; \
CONCAT(s, 1).mla(m1subm2, 0.5f).mla(m5subm6, 2.0f); \
CONCAT(s, 2) = m3addm4; \
CONCAT(s, 2).mla(m1addm2, 0.25f).mla(m5addm6, 4.0f); \
CONCAT(s, 3) = m3subm4; \
CONCAT(s, 3).mla(m1subm2, 0.125f).mla(m5subm6, 8.0f); \
CONCAT(s, 4) = m##7; \
CONCAT(s, 4).mla(m1addm2, 0.0625f).add(m3addm4).mla(m5addm6, 16.0f); \
} while (0)
template <BiasMode bmode, typename Op>
struct OutputTransform5X4 {
static void transform(
const float* output_transform_buf, const float* bias, float* output,
float* transform_mid_buf, size_t oh_start, size_t ow_start, size_t OH,
size_t OW, size_t oc_start, size_t oc_end, size_t oc_index, size_t unit_idx,
size_t nr_units_in_tile, const DType& src_dtype, const DType& dst_dtype) {
Op op(src_dtype, dst_dtype);
constexpr size_t alpha = 5 + 4 - 1;
float* mid_buf1 = transform_mid_buf;
size_t OC = oc_end - oc_start;
size_t oc = oc_start + oc_index;
#define cb(m, n) \
transform_mid_buf[m * alpha + n] = output_transform_buf \
[(m * alpha + n) * nr_units_in_tile * OC + unit_idx * OC + oc_index];
UNROLL_CALL_NOWRAPPER_D2(8, 8, cb);
#undef cb
#define cb(i) auto m##i = Vector<float, 8>::load(transform_mid_buf + alpha * i);
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
#define cb(i) Vector<float, 8> s##i, ret##i;
UNROLL_CALL_NOWRAPPER(8, cb);
#undef cb
OUTPUT_TRANSFORM(m, s);
#define cb(i) \
do { \
auto m1addm2 = GET_VECTOR_LOW_ELEM(s, i, 1) + GET_VECTOR_LOW_ELEM(s, i, 2); \
auto m1subm2 = GET_VECTOR_LOW_ELEM(s, i, 1) - GET_VECTOR_LOW_ELEM(s, i, 2); \
auto m3addm4 = GET_VECTOR_LOW_ELEM(s, i, 3) + GET_VECTOR_HIGH_ELEM(s, i, 0); \
auto m3subm4 = GET_VECTOR_LOW_ELEM(s, i, 3) - GET_VECTOR_HIGH_ELEM(s, i, 0); \
auto m5addm6 = GET_VECTOR_HIGH_ELEM(s, i, 1) + GET_VECTOR_HIGH_ELEM(s, i, 2); \
auto m5subm6 = GET_VECTOR_HIGH_ELEM(s, i, 1) - GET_VECTOR_HIGH_ELEM(s, i, 2); \
mid_buf1[0] = GET_VECTOR_LOW_ELEM(s, i, 0) + m1addm2 + m3addm4 + m5addm6; \
mid_buf1[1] = 0.5f * m1subm2 + m3subm4 + 2.0f * m5subm6; \
mid_buf1[2] = 0.25f * m1addm2 + m3addm4 + 4.0f * m5addm6; \
mid_buf1[3] = 0.125f * m1subm2 + m3subm4 + 8.0f * m5subm6; \
mid_buf1[4] = 0.0625f * m1addm2 + m3addm4 + 16.0f * m5addm6 + \
GET_VECTOR_HIGH_ELEM(s, i, 3); \
mid_buf1 += 5; \
} while (0);
mid_buf1 = transform_mid_buf;
UNROLL_CALL_NOWRAPPER(5, cb);
mid_buf1 = transform_mid_buf;
#undef cb
if (oh_start + 5 <= OH && ow_start + 5 <= OW) {
float32x4_t bias0;
float32_t bias1;
if (bmode == BiasMode::BROADCAST_CHANNEL_BIAS) {
bias0 = vdupq_n_f32(bias[oc]);
bias1 = bias[oc];
}
rep(i, 5) {
size_t oh = oh_start + i;
float32x4_t item0 = vld1q_f32(mid_buf1);
float32_t item1 = mid_buf1[4];
if (bmode == BiasMode::BROADCAST_CHANNEL_BIAS) {
item0 = vaddq_f32(item0, bias0);
item1 = item1 + bias1;
} else if (bmode == BiasMode::BIAS) {
bias0 = vld1q_f32(bias + oc * OH * OW + oh * OW + ow_start);
bias1 = bias[oc * OH * OW + oh * OW + ow_start + 4];
item0 = vaddq_f32(item0, bias0);
item1 = item1 + bias1;
}
item0 = op(item0);
item1 = op(item1);
vst1q_f32(output + oc * OH * OW + oh * OW + ow_start, item0);
output[oc * OH * OW + oh * OW + ow_start + 4] = item1;
mid_buf1 += 5;
}
} else {
for (size_t oho = 0; oho < 5 && oh_start + oho < OH; ++oho) {
for (size_t owo = 0; owo < 5 && ow_start + owo < OW; ++owo) {
size_t oh = oh_start + oho;
size_t ow = ow_start + owo;
float res = mid_buf1[oho * 5 + owo];
if (bmode == BiasMode::BIAS) {
res += bias[oc * OH * OW + oh * OW + ow];
} else if (bmode == BiasMode::BROADCAST_CHANNEL_BIAS) {
res += bias[oc];
}
res = op(res);
output[oc * OH * OW + oh * OW + ow] = res;
}
}
}
}
};
#undef OUTPUT_TRANSFORM
#undef GET_VECTOR_HIGH_ELEM
#undef GET_VECTOR_LOW_ELEM
}
namespace megdnn {
namespace arm_common {
namespace winograd {
MEGDNN_REG_WINOGRAD_STRATEGY_IMPL(winograd_5x4_1x1_f)
void winograd_5x4_1x1_f::filter(
const float* filter, float* filter_transform_buf, float* transform_mid_buf,
size_t OC, size_t IC, size_t oc_start, size_t oc_end) {
FilterTransform5X4::transform(
filter, filter_transform_buf, transform_mid_buf, OC, IC, oc_start, oc_end);
}
void winograd_5x4_1x1_f::input(
const float* input, float* input_transform_buf, float* transform_mid_buf,
size_t IH, size_t IW, size_t IC, size_t PH, size_t PW, size_t unit_start_idx,
size_t nr_units_in_tile) {
constexpr int alpha = 5 + 4 - 1;
auto units_w = div_ceil<size_t>(IW + 2 * PW - KERNEL_SIZE + 1, OUTPUT_BLOCK_SIZE);
rep(ic, IC) {
rep(unit_idx, nr_units_in_tile) {
size_t index = unit_start_idx + unit_idx;
size_t nh = index / units_w;
size_t nw = index % units_w;
int ih_start = nh * OUTPUT_BLOCK_SIZE - PH;
int iw_start = nw * OUTPUT_BLOCK_SIZE - PW;
if (ih_start >= 0 && ih_start + alpha <= static_cast<int>(IH) &&
iw_start >= 0 && iw_start + alpha <= static_cast<int>(IW)) {
InputTransform5X4::transform<true>(
input, input_transform_buf, transform_mid_buf, ih_start,
iw_start, ic, IH, IW, IC, unit_idx, nr_units_in_tile);
} else {
InputTransform5X4::transform<false>(
input, input_transform_buf, transform_mid_buf, ih_start,
iw_start, ic, IH, IW, IC, unit_idx, nr_units_in_tile);
}
}
}
}
void winograd_5x4_1x1_f::output(
const float* output_transform_buf, const float* bias, float* output,
float* transform_mid_buf, BiasMode bmode, NonlineMode nonline_mode, size_t OH,
size_t OW, size_t oc_start, size_t oc_end, size_t unit_start_idx,
size_t nr_units_in_tile) {
#define cb(_bmode, _nonline_op, ...) \
OutputTransform5X4<_bmode MEGDNN_COMMA _nonline_op>::transform(__VA_ARGS__);
auto units_w = div_ceil<size_t>(OW, OUTPUT_BLOCK_SIZE);
for (size_t oc = oc_start; oc < oc_end; oc++) {
size_t oc_index = oc - oc_start;
rep(unit_idx, nr_units_in_tile) {
size_t index = unit_start_idx + unit_idx;
auto nh = index / units_w;
auto nw = index % units_w;
size_t oh_start = nh * OUTPUT_BLOCK_SIZE;
size_t ow_start = nw * OUTPUT_BLOCK_SIZE;
DISPATCH_CONV_WINOGRAD_BIAS(
megdnn_arm_common_winograd_fp32_F54, cb, float, float, bmode,
nonline_mode, output_transform_buf, bias, output, transform_mid_buf,
oh_start, ow_start, OH, OW, oc_start, oc_end, oc_index, unit_idx,
nr_units_in_tile, src_dtype, dst_dtype);
}
}
#undef cb
}
} } }