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// Copyright (c) Facebook, Inc. and its affiliates.
// All rights reserved.
//
// Copyright 2019 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#include <assert.h>
#include <stdint.h>
#include <arm_neon.h>
#include <fp16/bitcasts.h>
#include <xnnpack/requantization-stubs.h>
// The requantization implementation below is adapted from Google's gemmlowp
// library. It is only used in XNNPACK unit tests and comparative benchmarks,
// but not the library itself.
//
// Copyright 2015 Google Inc. All Rights Reserved.
//
// 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.
void xnn_requantize_gemmlowp__neon(
size_t n,
const int32_t* input,
float scale,
uint8_t zero_point,
uint8_t qmin,
uint8_t qmax,
uint8_t* output)
{
assert(n % 16 == 0);
assert(scale < 1.0f);
assert(scale >= 0x1.0p-32f);
const uint32_t scale_bits = fp32_to_bits(scale);
// Compute requantization parameters.
const uint32_t multiplier = ((scale_bits & UINT32_C(0x007FFFFF)) | UINT32_C(0x00800000)) << 7;
const int32_t exponent = (fp32_to_bits(scale) >> 23) - 127 - 23 - 7;
const int32_t shift = -(32 /* using high 32 bits in VQRDMUL */ - 1 /* doubling in VQRDMUL */ + exponent);
const int32x4_t vmultiplier = vdupq_n_s32(multiplier);
const int16x8_t vzero_point = vdupq_n_s16((int16_t)(uint16_t) zero_point);
const int32x4_t vshift = vdupq_n_s32(-shift);
const uint8x16_t vqmin = vdupq_n_u8(qmin);
const uint8x16_t vqmax = vdupq_n_u8(qmax);
for (; n != 0; n -= 16) {
const int32x4_t x = vld1q_s32(input);
const int32x4_t y = vld1q_s32(input + 4);
const int32x4_t z = vld1q_s32(input + 8);
const int32x4_t w = vld1q_s32(input + 12);
input += 16;
const int32x4_t x_product = vqrdmulhq_s32(x, vmultiplier);
const int32x4_t y_product = vqrdmulhq_s32(y, vmultiplier);
const int32x4_t z_product = vqrdmulhq_s32(z, vmultiplier);
const int32x4_t w_product = vqrdmulhq_s32(w, vmultiplier);
const int32x4_t x_product_fixup = vshrq_n_s32(vandq_s32(x, vshift), 31);
const int32x4_t y_product_fixup = vshrq_n_s32(vandq_s32(y, vshift), 31);
const int32x4_t z_product_fixup = vshrq_n_s32(vandq_s32(z, vshift), 31);
const int32x4_t w_product_fixup = vshrq_n_s32(vandq_s32(w, vshift), 31);
const int32x4_t x_adjusted_product = vqaddq_s32(x_product, x_product_fixup);
const int32x4_t y_adjusted_product = vqaddq_s32(y_product, y_product_fixup);
const int32x4_t z_adjusted_product = vqaddq_s32(z_product, z_product_fixup);
const int32x4_t w_adjusted_product = vqaddq_s32(w_product, w_product_fixup);
const int32x4_t x_scaled = vrshlq_s32(x_adjusted_product, vshift);
const int32x4_t y_scaled = vrshlq_s32(y_adjusted_product, vshift);
const int32x4_t z_scaled = vrshlq_s32(z_adjusted_product, vshift);
const int32x4_t w_scaled = vrshlq_s32(w_adjusted_product, vshift);
#ifdef __aarch64__
const int16x8_t xy_packed = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(x_scaled), y_scaled), vzero_point);
const int16x8_t zw_packed = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(z_scaled), w_scaled), vzero_point);
const uint8x16_t xyzw_packed = vqmovun_high_s16(vqmovun_s16(xy_packed), zw_packed);
#else
const int16x8_t xy_packed = vqaddq_s16(vcombine_s16(vqmovn_s32(x_scaled), vqmovn_s32(y_scaled)), vzero_point);
const int16x8_t zw_packed = vqaddq_s16(vcombine_s16(vqmovn_s32(z_scaled), vqmovn_s32(w_scaled)), vzero_point);
const uint8x16_t xyzw_packed = vcombine_u8(vqmovun_s16(xy_packed), vqmovun_s16(zw_packed));
#endif
const uint8x16_t xyzw_clamped = vmaxq_u8(vminq_u8(xyzw_packed, vqmax), vqmin);
vst1q_u8(output, xyzw_clamped);
output += 16;
}
}