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#include <assert.h> |
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#include <arm_neon.h> |
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#include <xnnpack/common.h> |
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#include <xnnpack/reduce.h> |
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void xnn_f16_rsum_ukernel__neonfp16arith_x16_acc2( |
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size_t batch, |
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const void* input, |
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void* output, |
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const union xnn_f16_scale_params params[restrict XNN_MIN_ELEMENTS(1)]) |
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{ |
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assert(batch != 0); |
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assert(batch % sizeof(uint16_t) == 0); |
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assert(input != NULL); |
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assert(output != NULL); |
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const uint16_t* i = (const uint16_t*) input; |
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uint16_t* o = (uint16_t*) output; |
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float16x8_t vacc0 = vreinterpretq_f16_u16(vmovq_n_u16(0)); |
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float16x8_t vacc1 = vreinterpretq_f16_u16(vmovq_n_u16(0)); |
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for (; batch >= 16 * sizeof(uint16_t); batch -= 16 * sizeof(uint16_t)) { |
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const float16x8_t vt0 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8; |
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const float16x8_t vt1 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8; |
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vacc0 = vaddq_f16(vacc0, vt0); |
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vacc1 = vaddq_f16(vacc1, vt1); |
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} |
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vacc0 = vaddq_f16(vacc0, vacc1); |
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for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) { |
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const float16x8_t vt = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8; |
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vacc0 = vaddq_f16(vacc0, vt); |
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} |
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const float16x4_t vscale = vreinterpret_f16_u16(vld1_dup_u16(¶ms->fp16arith.scale)); |
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float16x4_t vacc = vadd_f16(vget_low_f16(vacc0), vget_high_f16(vacc0)); |
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if XNN_UNLIKELY(batch & (4 * sizeof(uint16_t))) { |
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const float16x4_t vt = vreinterpret_f16_u16(vld1_u16(i)); i += 4; |
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vacc = vadd_f16(vacc, vt); |
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} |
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vacc = vpadd_f16(vacc, vacc); |
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if XNN_UNLIKELY(batch & (2 * sizeof(uint16_t))) { |
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const float16x4_t vt = vreinterpret_f16_u32(vld1_dup_u32((const void*) i)); i += 2; |
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vacc = vadd_f16(vacc, vt); |
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} |
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vacc = vpadd_f16(vacc, vacc); |
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if XNN_UNLIKELY(batch & (1 * sizeof(uint16_t))) { |
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const float16x4_t vt = vreinterpret_f16_u16(vld1_dup_u16(i)); |
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vacc = vadd_f16(vacc, vt); |
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} |
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vacc = vmul_f16(vacc, vscale); |
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vst1_lane_u16(o, vreinterpret_u16_f16(vacc), 0); |
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} |
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