blob: df1ecb75b88f7f48392d9095b3717ebe51a93ff1 [file] [log] [blame]
// 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.
$assert CR % 4 == 0
$assert MR >= 2
$assert AR >= 1
$ABC = "0123456789ABCDEF"
$VMULADDQ_F32 = "vfmaq_f32" if FMA else "vmlaq_f32"
#include <assert.h>
#include <arm_neon.h>
#include <xnnpack/dwconv.h>
void xnn_f32_dwconv_ukernel_up${CR}x${MR}__${"neonfma" if FMA else "neon"}(
size_t channels,
size_t output_width,
const float** input,
const float* weights,
float* output,
size_t input_stride,
size_t output_increment,
const union xnn_f32_output_params params[restrict static 1])
{
assert(channels != 0);
assert(output_width != 0);
const float32x4_t vmax = vld1q_dup_f32(&params->scalar.max);
const float32x4_t vmin = vld1q_dup_f32(&params->scalar.min);
do {
$for M in range(MR):
const float* i${M} = input[${M}];
input = (const float**) ((uintptr_t) input + input_stride);
size_t c = channels;
const float* w = weights;
for (; c >= ${CR}; c -= ${CR}) {
$for C in range(0, CR, 4):
float32x4_t vacc${ABC[C:C+4]}p0 = vld1q_f32(w); w += 4;
$for M in range(MR):
$for C in range(0, CR, 4):
const float32x4_t vi${M}x${ABC[C:C+4]} = vld1q_f32(i${M}); i${M} += 4;
$for C in range(0, CR, 4):
const float32x4_t vk${M}x${ABC[C:C+4]} = vld1q_f32(w); w += 4;
$for C in range(0, CR, 4):
$if 1 <= M < AR:
float32x4_t vacc${ABC[C:C+4]}p${M} = vmulq_f32(vi${M}x${ABC[C:C+4]}, vk${M}x${ABC[C:C+4]});
$else:
vacc${ABC[C:C+4]}p${M % AR} = ${VMULADDQ_F32}(vacc${ABC[C:C+4]}p${M % AR}, vi${M}x${ABC[C:C+4]}, vk${M}x${ABC[C:C+4]});
$STEPA = 1
$while STEPA < AR:
$for A in range(0, AR, STEPA * 2):
$if A + STEPA < AR:
for C in range(0, CR, 4):
vacc${ABC[C:C+4]}p${A} = vaddq_f32(vacc${ABC[C:C+4]}p${A}, vacc${ABC[C:C+4]}p${A + STEPA});
$STEPA *= 2
$for C in range(0, CR, 4):
float32x4_t vacc${ABC[C:C+4]} = vmaxq_f32(vacc${ABC[C:C+4]}p0, vmin);
$for C in range(0, CR, 4):
vacc${ABC[C:C+4]} = vminq_f32(vacc${ABC[C:C+4]}, vmax);
$for C in range(0, CR, 4):
vst1q_f32(output, vacc${ABC[C:C+4]}); output += 4;
}
if XNN_UNLIKELY(c != 0) {
$for C in range(0, CR, 4):
float32x4_t vacc${ABC[C:C+4]} = vld1q_f32(w); w += 4;
$for M in range(MR):
$for C in range(0, CR, 4):
const float32x4_t vi${M}x${ABC[C:C+4]} = vld1q_f32(i${M}); i${M} += 4;
$for C in range(0, CR, 4):
const float32x4_t vk${M}x${ABC[C:C+4]} = vld1q_f32(w); w += 4;
$for C in range(0, CR, 4):
vacc${ABC[C:C+4]} = ${VMULADDQ_F32}(vacc${ABC[C:C+4]}, vi${M}x${ABC[C:C+4]}, vk${M}x${ABC[C:C+4]});
$for C in range(0, CR, 4):
vacc${ABC[C:C+4]} = vmaxq_f32(vacc${ABC[C:C+4]}, vmin);
$for C in range(0, CR, 4):
vacc${ABC[C:C+4]} = vminq_f32(vacc${ABC[C:C+4]}, vmax);
$for LOG2C in reversed(range(CR.bit_length())):
$if CR != 1 << LOG2C:
if (c & ${1 << LOG2C}) {
$if LOG2C >= 2:
$for C in range(0, 1 << LOG2C, 4):
vst1q_f32(output, vacc${ABC[C:C+4]}); output += 4;
$for C in range(0, 1 << (LOG2C - 1), 4):
vacc${ABC[C:C+4]} = vacc${ABC[C + (1 << LOG2C):C + (1 << LOG2C)+4]};
$elif LOG2C == 1:
vst1_f32(output, vacc${ABC[0:2]}); output += 2;
vacc${ABC[0:2]} = vget_high_f32(vacc${ABC[0:4]});
$elif LOG2C == 0:
vst1_lane_f32(output, vacc${ABC[0:2]}, 0); output += 1;
}
$if LOG2C == 2:
float32x2_t vacc${ABC[0:2]} = vget_low_f32(vacc${ABC[0:4]});
}
output = (float*) ((uintptr_t) output + output_increment);
} while (--output_width != 0);
}