blob: 211ebc23419b741e882bdfde1dbc3a75d7ed1350 [file] [log] [blame]
// 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.
$assert CHANNEL_TILE % 8 == 0
$assert CHANNEL_TILE >= 8
$assert ROW_TILE >= 2
$assert ACCUMULATORS >= 1
$assert ROW_TILE >= ACCUMULATORS * 2
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <wasm_simd128.h>
#include <xnnpack/gavgpool.h>
void xnn_qs8_gavgpool_minmax_ukernel_${ROW_TILE}x__wasmsimd_c${CHANNEL_TILE}${"" if ACCUMULATORS == 1 else "_acc%d" % ACCUMULATORS}(
size_t rows,
size_t channels,
const int8_t* input,
size_t input_stride,
const int8_t* zero,
int8_t* output,
const union xnn_qs8_avgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
{
assert(rows != 0);
assert(rows <= ${ROW_TILE});
assert(channels != 0);
const int8_t* i0 = input;
$for M in range(1, ROW_TILE):
const int8_t* i${M} = (const int8_t*) ((uintptr_t) i${M-1} + input_stride);
$if M % 2 == 1:
if XNN_UNPREDICTABLE(rows < ${M+1}) {
i${M} = zero;
}
$else:
if XNN_UNPREDICTABLE(rows <= ${M}) {
i${M} = zero;
}
const v128_t vbias = wasm_v128_load(params->wasmsimd.bias);
const v128_t vmultiplier = wasm_v128_load(params->wasmsimd.multiplier);
const v128_t vrounding = wasm_v128_load(params->wasmsimd.rounding);
const int32_t vshift = params->wasmsimd.shift;
const v128_t vzero = wasm_f64x2_splat(0.0);
while (channels >= ${CHANNEL_TILE}) {
$for M in range(ROW_TILE):
const v128_t vxi${M}x${ABC[0:8]} = wasm_i16x8_load_8x8(i${M});
$for C in range(8, CHANNEL_TILE, 8):
const v128_t vxi${M}x${ABC[C:C+8]} = wasm_i16x8_load_8x8(i${M} + ${C});
i${M} += ${CHANNEL_TILE};
$for A in range(ACCUMULATORS):
$for C in range(0, CHANNEL_TILE, 8):
v128_t vacc${A}x${ABC[C:C+8]} = wasm_i16x8_add(vxi${A*2}x${ABC[C:C+8]}, vxi${A*2+1}x${ABC[C:C+8]});
$for M in range(ACCUMULATORS * 2, ROW_TILE):
$for C in range(0, CHANNEL_TILE, 8):
vacc${M % ACCUMULATORS}x${ABC[C:C+8]} = wasm_i16x8_add(vacc${M % ACCUMULATORS}x${ABC[C:C+8]}, vxi${M}x${ABC[C:C+8]});
$if ACCUMULATORS > 1:
// Add up all accumulators to vacc0x${ABC[0:CHANNEL_TILE]}
$ACC_SLICE = 1
$while ACC_SLICE < ACCUMULATORS:
$for A in range(0, ACCUMULATORS, ACC_SLICE * 2):
$if A + ACC_SLICE < ACCUMULATORS:
$for C in range(0, CHANNEL_TILE, 8):
vacc${A}x${ABC[C:C+8]} = wasm_i16x8_add(vacc${A}x${ABC[C:C+8]}, vacc${A + ACC_SLICE}x${ABC[C:C+8]});
$ACC_SLICE *= 2
$for C in range(0, CHANNEL_TILE, 8):
const v128_t vacc${ABC[C:C+4]} = wasm_i32x4_add(vbias, wasm_i32x4_widen_low_i16x8(vacc0x${ABC[C:C+8]}));
const v128_t vacc${ABC[C+4:C+8]} = wasm_i32x4_add(vbias, wasm_i32x4_widen_high_i16x8(vacc0x${ABC[C:C+8]}));
$for C in range(0, CHANNEL_TILE, 4):
const v128_t vabsacc${ABC[C:C+4]} = wasm_i32x4_abs(vacc${ABC[C:C+4]});
$for C in range(0, CHANNEL_TILE, 4):
const v128_t vsgnacc${ABC[C:C+4]} = wasm_i32x4_gt(vabsacc${ABC[C:C+4]}, vacc${ABC[C:C+4]});
$for C in range(0, CHANNEL_TILE, 4):
const v128_t vabsacc${ABC[C:C+2]} = wasm_v32x4_shuffle(vabsacc${ABC[C:C+4]}, vzero, 0, 4, 1, 5);
const v128_t vabsacc${ABC[C+2:C+4]} = wasm_v32x4_shuffle(vabsacc${ABC[C:C+4]}, vzero, 2, 6, 3, 7);
$for C in range(0, CHANNEL_TILE, 4):
const v128_t vabsprod${ABC[C:C+2]} = wasm_i64x2_mul(vabsacc${ABC[C:C+2]}, vmultiplier);
const v128_t vabsprod${ABC[C+2:C+4]} = wasm_i64x2_mul(vabsacc${ABC[C+2:C+4]}, vmultiplier);
$for C in range(0, CHANNEL_TILE, 2):
const v128_t vabsout${ABC[C:C+2]} = wasm_u64x2_shr(wasm_i64x2_add(vabsprod${ABC[C:C+2]}, vrounding), vshift);
$for C in range(0, CHANNEL_TILE, 4):
const v128_t vabsout${ABC[C:C+4]} = wasm_v32x4_shuffle(vabsout${ABC[C:C+2]}, vabsout${ABC[C+2:C+4]}, 0, 2, 4, 6);
$for C in range(0, CHANNEL_TILE, 4):
const v128_t vout${ABC[C:C+4]} = wasm_i32x4_sub(wasm_v128_xor(vabsout${ABC[C:C+4]}, vsgnacc${ABC[C:C+4]}), vsgnacc${ABC[C:C+4]});
const v128_t voutput_zero_point = wasm_v128_load(params->wasmsimd.output_zero_point);
$for C in range(0, CHANNEL_TILE, 8):
const v128_t vout${ABC[C:C+8]} = wasm_i16x8_add_saturate(wasm_i16x8_narrow_i32x4(vout${ABC[C:C+4]}, vout${ABC[C+4:C+8]}), voutput_zero_point);
const v128_t voutput_min = wasm_v128_load(params->wasmsimd.output_min);
const v128_t voutput_max = wasm_v128_load(params->wasmsimd.output_max);
$for C in range(0, CHANNEL_TILE, 16):
$if C + 8 < CHANNEL_TILE:
const v128_t vout${ABC[C:C+16]} = wasm_i8x16_min(wasm_i8x16_max(wasm_i8x16_narrow_i16x8(vout${ABC[C:C+8]}, vout${ABC[C+8:C+16]}), voutput_min), voutput_max);
$else:
const v128_t vout${ABC[C:C+8]}${ABC[C:C+8]} = wasm_i8x16_min(wasm_i8x16_max(wasm_i8x16_narrow_i16x8(vout${ABC[C:C+8]}, vout${ABC[C:C+8]}), voutput_min), voutput_max);
$if CHANNEL_TILE > 8:
wasm_v128_store(output, vout${ABC[0:16]});
$else:
*((double*) output) = wasm_f64x2_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
$for C in range(16, CHANNEL_TILE, 16):
$if C + 8 < CHANNEL_TILE:
wasm_v128_store(output + ${C}, vout${ABC[C:C+16]});
$else:
*((double*) (output + ${C})) = wasm_f64x2_extract_lane(vout${ABC[C:C+8]}${ABC[C:C+8]}, 0);
output += ${CHANNEL_TILE};
channels -= ${CHANNEL_TILE};
}
if XNN_UNLIKELY(channels != 0) {
${"do " if CHANNEL_TILE > 8 else ""}{
$for M in range(ROW_TILE):
const v128_t vxi${M}x${ABC[0:8]} = wasm_i16x8_load_8x8(i${M});
i${M} += 8;
$for A in range(ACCUMULATORS):
v128_t vacc${A}x${ABC[0:8]} = wasm_i16x8_add(vxi${A*2}x${ABC[0:8]}, vxi${A*2+1}x${ABC[0:8]});
$for M in range(ACCUMULATORS * 2, ROW_TILE):
vacc${M % ACCUMULATORS}x${ABC[0:8]} = wasm_i16x8_add(vacc${M % ACCUMULATORS}x${ABC[0:8]}, vxi${M}x${ABC[0:8]});
$if ACCUMULATORS > 1:
// Add up all accumulators to vacc0x${ABC[0:8]}
$ACC_SLICE = 1
$while ACC_SLICE < ACCUMULATORS:
$for A in range(0, ACCUMULATORS, ACC_SLICE * 2):
$if A + ACC_SLICE < ACCUMULATORS:
vacc${A}x${ABC[0:8]} = wasm_i16x8_add(vacc${A}x${ABC[0:8]}, vacc${A + ACC_SLICE}x${ABC[0:8]});
$ACC_SLICE *= 2
const v128_t vacc${ABC[0:4]} = wasm_i32x4_add(vbias, wasm_i32x4_widen_low_i16x8(vacc0x${ABC[0:8]}));
const v128_t vacc${ABC[4:8]} = wasm_i32x4_add(vbias, wasm_i32x4_widen_high_i16x8(vacc0x${ABC[0:8]}));
const v128_t vabsacc${ABC[0:4]} = wasm_i32x4_abs(vacc${ABC[0:4]});
const v128_t vabsacc${ABC[4:8]} = wasm_i32x4_abs(vacc${ABC[4:8]});
const v128_t vsgnacc${ABC[0:4]} = wasm_i32x4_gt(vabsacc${ABC[0:4]}, vacc${ABC[0:4]});
const v128_t vsgnacc${ABC[4:8]} = wasm_i32x4_gt(vabsacc${ABC[4:8]}, vacc${ABC[4:8]});
const v128_t vabsacc${ABC[0:2]} = wasm_v32x4_shuffle(vabsacc${ABC[0:4]}, vzero, 0, 4, 1, 5);
const v128_t vabsacc${ABC[2:4]} = wasm_v32x4_shuffle(vabsacc${ABC[0:4]}, vzero, 2, 6, 3, 7);
const v128_t vabsacc${ABC[4:6]} = wasm_v32x4_shuffle(vabsacc${ABC[4:8]}, vzero, 0, 4, 1, 5);
const v128_t vabsacc${ABC[6:8]} = wasm_v32x4_shuffle(vabsacc${ABC[4:8]}, vzero, 2, 6, 3, 7);
const v128_t vabsprod${ABC[0:2]} = wasm_i64x2_mul(vabsacc${ABC[0:2]}, vmultiplier);
const v128_t vabsprod${ABC[2:4]} = wasm_i64x2_mul(vabsacc${ABC[2:4]}, vmultiplier);
const v128_t vabsprod${ABC[4:6]} = wasm_i64x2_mul(vabsacc${ABC[4:6]}, vmultiplier);
const v128_t vabsprod${ABC[6:8]} = wasm_i64x2_mul(vabsacc${ABC[6:8]}, vmultiplier);
const v128_t vabsout${ABC[0:2]} = wasm_u64x2_shr(wasm_i64x2_add(vabsprod${ABC[0:2]}, vrounding), vshift);
const v128_t vabsout${ABC[2:4]} = wasm_u64x2_shr(wasm_i64x2_add(vabsprod${ABC[2:4]}, vrounding), vshift);
const v128_t vabsout${ABC[4:6]} = wasm_u64x2_shr(wasm_i64x2_add(vabsprod${ABC[4:6]}, vrounding), vshift);
const v128_t vabsout${ABC[6:8]} = wasm_u64x2_shr(wasm_i64x2_add(vabsprod${ABC[6:8]}, vrounding), vshift);
const v128_t vabsout${ABC[0:4]} = wasm_v32x4_shuffle(vabsout${ABC[0:2]}, vabsout${ABC[2:4]}, 0, 2, 4, 6);
const v128_t vabsout${ABC[4:8]} = wasm_v32x4_shuffle(vabsout${ABC[4:6]}, vabsout${ABC[6:8]}, 0, 2, 4, 6);
const v128_t vout${ABC[0:4]} = wasm_i32x4_sub(wasm_v128_xor(vabsout${ABC[0:4]}, vsgnacc${ABC[0:4]}), vsgnacc${ABC[0:4]});
const v128_t vout${ABC[4:8]} = wasm_i32x4_sub(wasm_v128_xor(vabsout${ABC[4:8]}, vsgnacc${ABC[4:8]}), vsgnacc${ABC[4:8]});
const v128_t voutput_zero_point = wasm_v128_load(params->wasmsimd.output_zero_point);
const v128_t vout${ABC[0:8]} = wasm_i16x8_add_saturate(wasm_i16x8_narrow_i32x4(vout${ABC[0:4]}, vout${ABC[4:8]}), voutput_zero_point);
const v128_t voutput_min = wasm_v128_load(params->wasmsimd.output_min);
const v128_t voutput_max = wasm_v128_load(params->wasmsimd.output_max);
v128_t vout${ABC[0:8]}${ABC[0:8]} = wasm_i8x16_min(wasm_i8x16_max(wasm_i8x16_narrow_i16x8(vout${ABC[0:8]}, vout${ABC[0:8]}), voutput_min), voutput_max);
$if CHANNEL_TILE > 8:
if XNN_LIKELY(channels >= 8) {
*((double*) output) = wasm_f64x2_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
output += 8;
channels -= 8;
} else {
if (channels & 4) {
*((float*) output) = wasm_f32x4_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
vout${ABC[0:8]}${ABC[0:8]} = wasm_u64x2_shr(vout${ABC[0:8]}${ABC[0:8]}, 32);
output += 4;
}
if (channels & 2) {
*((uint16_t*) output) = (uint16_t) wasm_i16x8_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
vout${ABC[0:8]}${ABC[0:8]} = wasm_u32x4_shr(vout${ABC[0:8]}${ABC[0:8]}, 16);
output += 2;
}
if (channels & 1) {
*output = (int8_t) wasm_i8x16_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
output += 1;
}
channels = 0;
}
$else:
if (channels & 4) {
*((float*) output) = wasm_f32x4_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
vout${ABC[0:8]}${ABC[0:8]} = wasm_u64x2_shr(vout${ABC[0:8]}${ABC[0:8]}, 32);
output += 4;
}
if (channels & 2) {
*((uint16_t*) output) = (uint16_t) wasm_i16x8_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
vout${ABC[0:8]}${ABC[0:8]} = wasm_u32x4_shr(vout${ABC[0:8]}${ABC[0:8]}, 16);
output += 2;
}
if (channels & 1) {
*output = (int8_t) wasm_i8x16_extract_lane(vout${ABC[0:8]}${ABC[0:8]}, 0);
}
}${" while (channels != 0);" if CHANNEL_TILE > 8 else ""}
}
}