src/qs8-gemm/gen/1x16c4-minmax-neondot.c - platform/external/XNNPACK - Git at Google

 // Auto-generated file. Do not edit!
 //   Template: src/qs8-gemm/MRxNRc4-neondot.c.in
 //   Generator: tools/xngen
 //
 // Copyright 2020 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 <arm_neon.h>

 #include <xnnpack/gemm.h>


 void xnn_qs8_gemm_minmax_ukernel_1x16c4__neondot(
     size_t mr,
     size_t nc,
     size_t kc,
     const int8_t* restrict a,
     size_t a_stride,
     const void* restrict w,
     int8_t* restrict c,
     size_t cm_stride,
     size_t cn_stride,
     const union xnn_qs8_gemm_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN {
   assert(mr != 0);
   assert(mr <= 1);
   assert(nc != 0);
   assert(kc != 0);

   const int8_t* a0 = a;
   int8_t* c0 = c;

   // Loop over groups of 16 columns.
   do {
     // Initialize accumulators with bias. 16 bias values are loaded from the
     // weight matrix, at the start of the group of 16 columns.
     int32x4_t vacc0x0123 = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));
     int32x4_t vacc0x4567 = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));
     int32x4_t vacc0x89AB = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));
     int32x4_t vacc0xCDEF = vld1q_s32(w); w = (const void*) ((uintptr_t) w + 4 * sizeof(int32_t));

     // Inner accumulation loop along the 16 columns.
     size_t k = kc;
     // 2x partial unrolled loop to load 8 bytes at a time.
     while (k >= 8 * sizeof(int8_t)) {
       // Load a 1x8 block of activations.
       const int8x8_t va0x01234567 = vld1_s8(a0); a0 += 8;

       // Load a 8x16 block of weights.
       const int8x16_t vb0123x0123 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb0123x4567 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb0123x89AB = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb0123xCDEF = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb4567x0123 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb4567x4567 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb4567x89AB = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb4567xCDEF = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);

       // Multiply-accumulate: 1x8 * 8x16 --> 1x16.
       vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb0123x0123, va0x01234567, 0);
       vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb0123x4567, va0x01234567, 0);
       vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb0123x89AB, va0x01234567, 0);
       vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb0123xCDEF, va0x01234567, 0);
       vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb4567x0123, va0x01234567, 1);
       vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb4567x4567, va0x01234567, 1);
       vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb4567x89AB, va0x01234567, 1);
       vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb4567xCDEF, va0x01234567, 1);

       k -= 8 * sizeof(int8_t);
     }
     // Handle up to 7 final positions of `k`
     if XNN_UNLIKELY(k != 0) {
       // Load a 1x4 block of activations.
       const int8x8_t va0x01234567 = vld1_s8(a0); a0 += k;

       // Load a 4x16 block of weights.
       const int8x16_t vb0123x0123 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb0123x4567 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb0123x89AB = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
       const int8x16_t vb0123xCDEF = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);

       // Multiply-accumulate: 1x4 * 4x16 --> 1x16.
       vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb0123x0123, va0x01234567, 0);
       vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb0123x4567, va0x01234567, 0);
       vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb0123x89AB, va0x01234567, 0);
       vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb0123xCDEF, va0x01234567, 0);

       if (k > 4) {
         // Load a 4x16 block of weights.
         const int8x16_t vb4567x0123 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
         const int8x16_t vb4567x4567 = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
         const int8x16_t vb4567x89AB = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);
         const int8x16_t vb4567xCDEF = vld1q_s8(w); w = (const void*) ((const int8_t*) w + 16);

         // Multiply-accumulate: 1x4 * 4x16 --> 1x16.
         vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb4567x0123, va0x01234567, 1);
         vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb4567x4567, va0x01234567, 1);
         vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb4567x89AB, va0x01234567, 1);
         vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb4567xCDEF, va0x01234567, 1);
       }
     }
     // End of accumulation loop. The variable `kc` contains the amount by which
     // we advanced the `va` pointers, so we rewind by this amount now.
     a0 = (const int8_t*) ((uintptr_t) a0 - kc);

     // Post-accumulation work

     const int32x4_t vright_shift = vld1q_dup_s32(&params->neon.right_shift);
     const int32x4_t vzero_shift_mask = vreinterpretq_s32_u32(vceqq_s32(vright_shift, vmovq_n_s32(0)));

     const int32x4_t vproduct0x0123 = vqrdmulhq_n_s32(vacc0x0123, params->neon.multiplier);
     const int32x4_t vproduct0x4567 = vqrdmulhq_n_s32(vacc0x4567, params->neon.multiplier);
     const int32x4_t vproduct0x89AB = vqrdmulhq_n_s32(vacc0x89AB, params->neon.multiplier);
     const int32x4_t vproduct0xCDEF = vqrdmulhq_n_s32(vacc0xCDEF, params->neon.multiplier);

     vacc0x0123 = vsraq_n_s32(vproduct0x0123, vbicq_s32(vacc0x0123, vzero_shift_mask), 31);
     vacc0x4567 = vsraq_n_s32(vproduct0x4567, vbicq_s32(vacc0x4567, vzero_shift_mask), 31);
     vacc0x89AB = vsraq_n_s32(vproduct0x89AB, vbicq_s32(vacc0x89AB, vzero_shift_mask), 31);
     vacc0xCDEF = vsraq_n_s32(vproduct0xCDEF, vbicq_s32(vacc0xCDEF, vzero_shift_mask), 31);

     vacc0x0123 = vrshlq_s32(vacc0x0123, vright_shift);
     vacc0x4567 = vrshlq_s32(vacc0x4567, vright_shift);
     vacc0x89AB = vrshlq_s32(vacc0x89AB, vright_shift);
     vacc0xCDEF = vrshlq_s32(vacc0xCDEF, vright_shift);

     const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->neon.output_zero_point);
 #if XNN_ARCH_ARM64
     const int16x8_t vacc0x01234567 = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(vacc0x0123), vacc0x4567), voutput_zero_point);
     const int16x8_t vacc0x89ABCDEF = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(vacc0x89AB), vacc0xCDEF), voutput_zero_point);

     int8x16_t vout0x0123456789ABCDEF = vqmovn_high_s16(vqmovn_s16(vacc0x01234567), vacc0x89ABCDEF);
 #else
     const int16x8_t vacc0x01234567 = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0x0123), vqmovn_s32(vacc0x4567)), voutput_zero_point);
     const int16x8_t vacc0x89ABCDEF = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0x89AB), vqmovn_s32(vacc0xCDEF)), voutput_zero_point);

     int8x16_t vout0x0123456789ABCDEF = vcombine_s8(vqmovn_s16(vacc0x01234567), vqmovn_s16(vacc0x89ABCDEF));
 #endif
     const int8x16_t voutput_min = vld1q_dup_s8(&params->neon.output_min);
     const int8x16_t voutput_max = vld1q_dup_s8(&params->neon.output_max);

     vout0x0123456789ABCDEF = vmaxq_s8(vout0x0123456789ABCDEF, voutput_min);

     vout0x0123456789ABCDEF = vminq_s8(vout0x0123456789ABCDEF, voutput_max);

     if (nc >= 16) {
       // Main case where there the 16 columns fit in the destination.
       vst1q_s8(c0 + 0, vout0x0123456789ABCDEF);

       // Advance to the next 16 columns.
       c0 = (int8_t*) ((uintptr_t) c0 + cn_stride);

       nc -= 16;
     } else {
       // Final case where not all of the 16 columns fit in the destination.
       int8x8_t vout0x01234567 = vget_low_s8(vout0x0123456789ABCDEF);
       if (nc & 8) {
         vst1_s8(c0, vout0x01234567); c0 += 8;
         vout0x01234567 = vget_high_s8(vout0x0123456789ABCDEF);
       }
       if (nc & 4) {
         vst1_lane_u32(__builtin_assume_aligned(c0, 1), vreinterpret_u32_s8(vout0x01234567), 0); c0 += 4;
         vout0x01234567 = vext_s8(vout0x01234567, vout0x01234567, 4);
       }
       if (nc & 2) {
         vst1_lane_u16(__builtin_assume_aligned(c0, 1), vreinterpret_u16_s8(vout0x01234567), 0); c0 += 2;
         vout0x01234567 = vext_s8(vout0x01234567, vout0x01234567, 2);
       }
       if (nc & 1) {
         vst1_lane_s8(c0, vout0x01234567, 0);
       }

       nc = 0;
     }
   } while (nc != 0);
 }
	// Auto-generated file. Do not edit!
	// Template: src/qs8-gemm/MRxNRc4-neondot.c.in
	// Generator: tools/xngen
	//
	// Copyright 2020 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 <arm_neon.h>

	#include <xnnpack/gemm.h>


	void xnn_qs8_gemm_minmax_ukernel_1x16c4__neondot(
	size_t mr,
	size_t nc,
	size_t kc,
	const int8_t* restrict a,
	size_t a_stride,
	const void* restrict w,
	int8_t* restrict c,
	size_t cm_stride,
	size_t cn_stride,
	const union xnn_qs8_gemm_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN {
	assert(mr != 0);
	assert(mr <= 1);
	assert(nc != 0);
	assert(kc != 0);

	const int8_t* a0 = a;
	int8_t* c0 = c;

	// Loop over groups of 16 columns.
	do {
	// Initialize accumulators with bias. 16 bias values are loaded from the
	// weight matrix, at the start of the group of 16 columns.
	int32x4_t vacc0x0123 = vld1q_s32(w); w = (const void) ((uintptr_t) w + 4 sizeof(int32_t));
	int32x4_t vacc0x4567 = vld1q_s32(w); w = (const void) ((uintptr_t) w + 4 sizeof(int32_t));
	int32x4_t vacc0x89AB = vld1q_s32(w); w = (const void) ((uintptr_t) w + 4 sizeof(int32_t));
	int32x4_t vacc0xCDEF = vld1q_s32(w); w = (const void) ((uintptr_t) w + 4 sizeof(int32_t));

	// Inner accumulation loop along the 16 columns.
	size_t k = kc;
	// 2x partial unrolled loop to load 8 bytes at a time.
	while (k >= 8 * sizeof(int8_t)) {
	// Load a 1x8 block of activations.
	const int8x8_t va0x01234567 = vld1_s8(a0); a0 += 8;

	// Load a 8x16 block of weights.
	const int8x16_t vb0123x0123 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb0123x4567 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb0123x89AB = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb0123xCDEF = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb4567x0123 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb4567x4567 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb4567x89AB = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb4567xCDEF = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);

	// Multiply-accumulate: 1x8 * 8x16 --> 1x16.
	vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb0123x0123, va0x01234567, 0);
	vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb0123x4567, va0x01234567, 0);
	vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb0123x89AB, va0x01234567, 0);
	vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb0123xCDEF, va0x01234567, 0);
	vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb4567x0123, va0x01234567, 1);
	vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb4567x4567, va0x01234567, 1);
	vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb4567x89AB, va0x01234567, 1);
	vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb4567xCDEF, va0x01234567, 1);

	k -= 8 * sizeof(int8_t);
	}
	// Handle up to 7 final positions of `k`
	if XNN_UNLIKELY(k != 0) {
	// Load a 1x4 block of activations.
	const int8x8_t va0x01234567 = vld1_s8(a0); a0 += k;

	// Load a 4x16 block of weights.
	const int8x16_t vb0123x0123 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb0123x4567 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb0123x89AB = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb0123xCDEF = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);

	// Multiply-accumulate: 1x4 * 4x16 --> 1x16.
	vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb0123x0123, va0x01234567, 0);
	vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb0123x4567, va0x01234567, 0);
	vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb0123x89AB, va0x01234567, 0);
	vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb0123xCDEF, va0x01234567, 0);

	if (k > 4) {
	// Load a 4x16 block of weights.
	const int8x16_t vb4567x0123 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb4567x4567 = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb4567x89AB = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);
	const int8x16_t vb4567xCDEF = vld1q_s8(w); w = (const void) ((const int8_t) w + 16);

	// Multiply-accumulate: 1x4 * 4x16 --> 1x16.
	vacc0x0123 = vdotq_lane_s32(vacc0x0123, vb4567x0123, va0x01234567, 1);
	vacc0x4567 = vdotq_lane_s32(vacc0x4567, vb4567x4567, va0x01234567, 1);
	vacc0x89AB = vdotq_lane_s32(vacc0x89AB, vb4567x89AB, va0x01234567, 1);
	vacc0xCDEF = vdotq_lane_s32(vacc0xCDEF, vb4567xCDEF, va0x01234567, 1);
	}
	}
	// End of accumulation loop. The variable `kc` contains the amount by which
	// we advanced the `va` pointers, so we rewind by this amount now.
	a0 = (const int8_t*) ((uintptr_t) a0 - kc);

	// Post-accumulation work

	const int32x4_t vright_shift = vld1q_dup_s32(&params->neon.right_shift);
	const int32x4_t vzero_shift_mask = vreinterpretq_s32_u32(vceqq_s32(vright_shift, vmovq_n_s32(0)));

	const int32x4_t vproduct0x0123 = vqrdmulhq_n_s32(vacc0x0123, params->neon.multiplier);
	const int32x4_t vproduct0x4567 = vqrdmulhq_n_s32(vacc0x4567, params->neon.multiplier);
	const int32x4_t vproduct0x89AB = vqrdmulhq_n_s32(vacc0x89AB, params->neon.multiplier);
	const int32x4_t vproduct0xCDEF = vqrdmulhq_n_s32(vacc0xCDEF, params->neon.multiplier);

	vacc0x0123 = vsraq_n_s32(vproduct0x0123, vbicq_s32(vacc0x0123, vzero_shift_mask), 31);
	vacc0x4567 = vsraq_n_s32(vproduct0x4567, vbicq_s32(vacc0x4567, vzero_shift_mask), 31);
	vacc0x89AB = vsraq_n_s32(vproduct0x89AB, vbicq_s32(vacc0x89AB, vzero_shift_mask), 31);
	vacc0xCDEF = vsraq_n_s32(vproduct0xCDEF, vbicq_s32(vacc0xCDEF, vzero_shift_mask), 31);

	vacc0x0123 = vrshlq_s32(vacc0x0123, vright_shift);
	vacc0x4567 = vrshlq_s32(vacc0x4567, vright_shift);
	vacc0x89AB = vrshlq_s32(vacc0x89AB, vright_shift);
	vacc0xCDEF = vrshlq_s32(vacc0xCDEF, vright_shift);

	const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->neon.output_zero_point);
	#if XNN_ARCH_ARM64
	const int16x8_t vacc0x01234567 = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(vacc0x0123), vacc0x4567), voutput_zero_point);
	const int16x8_t vacc0x89ABCDEF = vqaddq_s16(vqmovn_high_s32(vqmovn_s32(vacc0x89AB), vacc0xCDEF), voutput_zero_point);

	int8x16_t vout0x0123456789ABCDEF = vqmovn_high_s16(vqmovn_s16(vacc0x01234567), vacc0x89ABCDEF);
	#else
	const int16x8_t vacc0x01234567 = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0x0123), vqmovn_s32(vacc0x4567)), voutput_zero_point);
	const int16x8_t vacc0x89ABCDEF = vqaddq_s16(vcombine_s16(vqmovn_s32(vacc0x89AB), vqmovn_s32(vacc0xCDEF)), voutput_zero_point);

	int8x16_t vout0x0123456789ABCDEF = vcombine_s8(vqmovn_s16(vacc0x01234567), vqmovn_s16(vacc0x89ABCDEF));
	#endif
	const int8x16_t voutput_min = vld1q_dup_s8(&params->neon.output_min);
	const int8x16_t voutput_max = vld1q_dup_s8(&params->neon.output_max);

	vout0x0123456789ABCDEF = vmaxq_s8(vout0x0123456789ABCDEF, voutput_min);

	vout0x0123456789ABCDEF = vminq_s8(vout0x0123456789ABCDEF, voutput_max);

	if (nc >= 16) {
	// Main case where there the 16 columns fit in the destination.
	vst1q_s8(c0 + 0, vout0x0123456789ABCDEF);

	// Advance to the next 16 columns.
	c0 = (int8_t*) ((uintptr_t) c0 + cn_stride);

	nc -= 16;
	} else {
	// Final case where not all of the 16 columns fit in the destination.
	int8x8_t vout0x01234567 = vget_low_s8(vout0x0123456789ABCDEF);
	if (nc & 8) {
	vst1_s8(c0, vout0x01234567); c0 += 8;
	vout0x01234567 = vget_high_s8(vout0x0123456789ABCDEF);
	}
	if (nc & 4) {
	vst1_lane_u32(__builtin_assume_aligned(c0, 1), vreinterpret_u32_s8(vout0x01234567), 0); c0 += 4;
	vout0x01234567 = vext_s8(vout0x01234567, vout0x01234567, 4);
	}
	if (nc & 2) {
	vst1_lane_u16(__builtin_assume_aligned(c0, 1), vreinterpret_u16_s8(vout0x01234567), 0); c0 += 2;
	vout0x01234567 = vext_s8(vout0x01234567, vout0x01234567, 2);
	}
	if (nc & 1) {
	vst1_lane_s8(c0, vout0x01234567, 0);
	}

	nc = 0;
	}
	} while (nc != 0);
	}