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/*
* Copyright (c) 2022, 2024 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
#include <algorithm>
#include <arm_neon.h>
#include <cstddef>
namespace arm_conv {
namespace winograd {
namespace output_transform {
void a64_fp16_4x4_3x3(
unsigned int n_channels,
const __fp16* inptr,
size_t matrix_stride,
const __fp16* bptr,
__fp16* const output,
size_t output_row_stride,
size_t output_col_stride,
__fp16 output_min,
__fp16 output_max
)
{
constexpr int output_tile_rows = 4, output_tile_cols = 4;
// Construct a map to the output cells
__fp16 *outptrs[output_tile_rows][output_tile_cols];
for (int i = 0; i < output_tile_rows; i++)
{
for (int j = 0; j < output_tile_cols; j++)
{
outptrs[i][j] = output + i*output_row_stride + j*output_col_stride;
}
}
// For each channel of the output
int channels_remaining = n_channels;
#ifdef __aarch64__
for (; channels_remaining >= 8; channels_remaining -= 8)
{
// Matrices used and computed during this transform
float16x8_t F[6][6], FZ[6][4], f[4][4], b;
// Read a 6x6 tile in the Winograd domain
for (int i = 0, m = 0; i < 6; i++)
{
for (int j = 0; j < 6; j++, m++)
{
F[i][j] = vld1q_f16(inptr + m*matrix_stride);
}
}
inptr += 8;
// Compute the matrix F Z
for (int i = 0; i < 6; i++)
{
// FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4];
FZ[i][0] = vaddq_f16(vaddq_f16(vaddq_f16(F[i][0], F[i][1]), vaddq_f16(F[i][2], F[i][3])), F[i][4]);
// FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4];
FZ[i][1] = vaddq_f16(vsubq_f16(F[i][1], F[i][2]), vmulq_f16(vsubq_f16(F[i][3], F[i][4]), vdupq_n_f16(2.0f)));
// FZ[i][2] = 1*F[i][1] + 1*F[i][2] + 4*F[i][3] + 4*F[i][4];
FZ[i][2] = vaddq_f16(vaddq_f16(F[i][1], F[i][2]), vmulq_f16(vaddq_f16(F[i][3], F[i][4]), vdupq_n_f16(4.0f)));
// FZ[i][3] = 1*F[i][1] + -1*F[i][2] + 8*F[i][3] + -8*F[i][4] + 1*F[i][5];
FZ[i][3] = vaddq_f16(vaddq_f16(vsubq_f16(F[i][1], F[i][2]), vmulq_f16(vsubq_f16(F[i][3], F[i][4]), vdupq_n_f16(8.0f))), F[i][5]);
}
// Compute the output tile f = ZT F Z
for (int j = 0; j < 4; j++)
{
// f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j];
f[0][j] = vaddq_f16(vaddq_f16(vaddq_f16(FZ[0][j], FZ[1][j]), vaddq_f16(FZ[2][j], FZ[3][j])), FZ[4][j]);
// f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j];
f[1][j] = vaddq_f16(vsubq_f16(FZ[1][j], FZ[2][j]), vmulq_f16(vsubq_f16(FZ[3][j], FZ[4][j]), vdupq_n_f16(2.0f)));
// f[2][j] = 1*FZ[1][j] + 1*FZ[2][j] + 4*FZ[3][j] + 4*FZ[4][j];
f[2][j] = vaddq_f16(vaddq_f16(FZ[1][j], FZ[2][j]), vmulq_f16(vaddq_f16(FZ[3][j], FZ[4][j]), vdupq_n_f16(4.0f)));
// f[3][j] = 1*FZ[1][j] + -1*FZ[2][j] + 8*FZ[3][j] + -8*FZ[4][j] + 1*FZ[5][j];
f[3][j] = vaddq_f16(vaddq_f16(vsubq_f16(FZ[1][j], FZ[2][j]), vmulq_f16(vsubq_f16(FZ[3][j], FZ[4][j]), vdupq_n_f16(8.0f))), FZ[5][j]);
}
// Write out the output tile
if (bptr != nullptr)
{
b = vld1q_f16(bptr);
bptr += 8;
}
else
{
b = vdupq_n_f16(0.0f);
}
for (int i = 0; i < output_tile_rows; i++)
{
for (int j = 0; j < output_tile_cols; j++)
{
const auto y =
vmaxq_f16(vminq_f16(vaddq_f16(f[i][j], b), vdupq_n_f16(output_max)),
vdupq_n_f16(output_min));
vst1q_f16(outptrs[i][j], y);
outptrs[i][j] += 8;
}
}
}
#endif // __aarch64__
#ifdef __arm_any__
for (; channels_remaining >= 4; channels_remaining -= 4)
{
// Matrices used and computed during this transform
float16x4_t F[6][6], FZ[6][4], f[4][4], b;
// Read a 6x6 tile in the Winograd domain
for (int i = 0, m = 0; i < 6; i++)
{
for (int j = 0; j < 6; j++, m++)
{
F[i][j] = vld1_f16(inptr + m*matrix_stride);
}
}
inptr += 4;
// Compute the matrix F Z
for (int i = 0; i < 6; i++)
{
// FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4];
FZ[i][0] = vadd_f16(vadd_f16(vadd_f16(F[i][0], F[i][1]), vadd_f16(F[i][2], F[i][3])), F[i][4]);
// FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4];
FZ[i][1] = vadd_f16(vsub_f16(F[i][1], F[i][2]), vmul_f16(vsub_f16(F[i][3], F[i][4]), vdup_n_f16(2.0f)));
// FZ[i][2] = 1*F[i][1] + 1*F[i][2] + 4*F[i][3] + 4*F[i][4];
FZ[i][2] = vadd_f16(vadd_f16(F[i][1], F[i][2]), vmul_f16(vadd_f16(F[i][3], F[i][4]), vdup_n_f16(4.0f)));
// FZ[i][3] = 1*F[i][1] + -1*F[i][2] + 8*F[i][3] + -8*F[i][4] + 1*F[i][5];
FZ[i][3] = vadd_f16(vadd_f16(vsub_f16(F[i][1], F[i][2]), vmul_f16(vsub_f16(F[i][3], F[i][4]), vdup_n_f16(8.0f))), F[i][5]);
}
// Compute the output tile f = ZT F Z
for (int j = 0; j < 4; j++)
{
// f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j];
f[0][j] = vadd_f16(vadd_f16(vadd_f16(FZ[0][j], FZ[1][j]), vadd_f16(FZ[2][j], FZ[3][j])), FZ[4][j]);
// f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j];
f[1][j] = vadd_f16(vsub_f16(FZ[1][j], FZ[2][j]), vmul_f16(vsub_f16(FZ[3][j], FZ[4][j]), vdup_n_f16(2.0f)));
// f[2][j] = 1*FZ[1][j] + 1*FZ[2][j] + 4*FZ[3][j] + 4*FZ[4][j];
f[2][j] = vadd_f16(vadd_f16(FZ[1][j], FZ[2][j]), vmul_f16(vadd_f16(FZ[3][j], FZ[4][j]), vdup_n_f16(4.0f)));
// f[3][j] = 1*FZ[1][j] + -1*FZ[2][j] + 8*FZ[3][j] + -8*FZ[4][j] + 1*FZ[5][j];
f[3][j] = vadd_f16(vadd_f16(vsub_f16(FZ[1][j], FZ[2][j]), vmul_f16(vsub_f16(FZ[3][j], FZ[4][j]), vdup_n_f16(8.0f))), FZ[5][j]);
}
// Write out the output tile
if (bptr != nullptr)
{
b = vld1_f16(bptr);
bptr += 4;
}
else
{
b = vdup_n_f16(0.0f);
}
for (int i = 0; i < output_tile_rows; i++)
{
for (int j = 0; j < output_tile_cols; j++)
{
const auto y =
vmax_f16(vmin_f16(vadd_f16(f[i][j], b), vdup_n_f16(output_max)),
vdup_n_f16(output_min));
vst1_f16(outptrs[i][j], y);
outptrs[i][j] += 4;
}
}
}
#endif // __arm_any__
for (; channels_remaining; channels_remaining--)
{
// Matrices used and computed during this transform
__fp16 F[6][6], FZ[6][4], f[4][4], b;
// Read a 6x6 tile in the Winograd domain
for (int i = 0, m = 0; i < 6; i++)
{
for (int j = 0; j < 6; j++, m++)
{
F[i][j] = *(inptr + m*matrix_stride);
}
}
inptr++;
// Compute the matrix F Z
for (int i = 0; i < 6; i++)
{
FZ[i][0] = 1*F[i][0] + 1*F[i][1] + 1*F[i][2] + 1*F[i][3] + 1*F[i][4];
FZ[i][1] = 1*F[i][1] + -1*F[i][2] + 2*F[i][3] + -2*F[i][4];
FZ[i][2] = 1*F[i][1] + 1*F[i][2] + 4*F[i][3] + 4*F[i][4];
FZ[i][3] = 1*F[i][1] + -1*F[i][2] + 8*F[i][3] + -8*F[i][4] + 1*F[i][5];
}
// Compute the output tile f = ZT F Z
for (int j = 0; j < 4; j++)
{
f[0][j] = 1*FZ[0][j] + 1*FZ[1][j] + 1*FZ[2][j] + 1*FZ[3][j] + 1*FZ[4][j];
f[1][j] = 1*FZ[1][j] + -1*FZ[2][j] + 2*FZ[3][j] + -2*FZ[4][j];
f[2][j] = 1*FZ[1][j] + 1*FZ[2][j] + 4*FZ[3][j] + 4*FZ[4][j];
f[3][j] = 1*FZ[1][j] + -1*FZ[2][j] + 8*FZ[3][j] + -8*FZ[4][j] + 1*FZ[5][j];
}
// Write out the output tile
if (bptr != nullptr)
{
b = *(bptr++);
}
else
{
b = 0.0f;
}
for (int i = 0; i < output_tile_rows; i++)
{
for (int j = 0; j < output_tile_cols; j++)
{
const auto y = std::max(std::min<__fp16>(f[i][j] + b, output_max), output_min);
*(outptrs[i][j]++) = y;
}
}
}
}
} // namespace output_transform
} // namespace winograd
} // namespace arm_conv
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC