search for: t_s32x4

...ut32_Q14[ 1 ] + (1<<14) - 1, 14 ) ); } } } Here is the NEON kernels which uses vqrdmulh_lane_s32() to do the multiplication and rounding, where A_Q28_s32x{2,4} stores doubled -A_Q28[]: static inline void silk_biquad_alt_stride1_kernel(const int32x2_t A_Q28_s32x2, const int32x4_t t_s32x4, int32x2_t *S_s32x2, int32x2_t *out32_Q14_s32x2) { int32x2_t t_s32x2; *out32_Q14_s32x2 = vadd_s32(*S_s32x2, vget_low_s32(t_s32x4)); /* silk_SMLAWB( S[ 0 ], B_Q28[ 0 ], in[ k ] ) */ *S_s32x2 = vreinterpret_s32_u64(vshr_n_ u64(vreinterpret_u64_...

...} > > Here is the NEON kernels which uses vqrdmulh_lane_s32() to do the > multiplication and rounding, where A_Q28_s32x{2,4} stores doubled > -A_Q28[]: > > static inline void silk_biquad_alt_stride1_kernel(const int32x2_t > A_Q28_s32x2, const int32x4_t t_s32x4, int32x2_t *S_s32x2, int32x2_t > *out32_Q14_s32x2) > { > int32x2_t t_s32x2; > > *out32_Q14_s32x2 = vadd_s32(*S_s32x2, vget_low_s32(t_s32x4)); > /* silk_SMLAWB( S[ 0 ], B_Q28[ 0 ], in[ k ] > )...

...> } > } > } > > Here is the NEON kernels which uses vqrdmulh_lane_s32() to do the > multiplication and rounding, where A_Q28_s32x{2,4} stores doubled -A_Q28[]: > > static inline void silk_biquad_alt_stride1_kernel(const int32x2_t > A_Q28_s32x2, const int32x4_t t_s32x4, int32x2_t *S_s32x2, int32x2_t > *out32_Q14_s32x2) > { > int32x2_t t_s32x2; > > *out32_Q14_s32x2 = vadd_s32(*S_s32x2, vget_low_s32(t_s32x4)); > /* silk_SMLAWB( S[ 0 ], B_Q28[ 0 ], in[ k ] ) > */ > *S_s32x2 = vreinte...

...e is the NEON kernels which uses vqrdmulh_lane_s32() to do the > > multiplication and rounding, where A_Q28_s32x{2,4} stores doubled > > -A_Q28[]: > > > > static inline void silk_biquad_alt_stride1_kernel(const int32x2_t > > A_Q28_s32x2, const int32x4_t t_s32x4, int32x2_t *S_s32x2, int32x2_t > > *out32_Q14_s32x2) > > { > > int32x2_t t_s32x2; > > > > *out32_Q14_s32x2 = vadd_s32(*S_s32x2, vget_low_s32(t_s32x4)); > > /* silk_SMLAWB( S[ 0 ], B_Q28[ 0 ], in[ k ] > >...

On Mon, Apr 24, 2017 at 5:52 PM, Jean-Marc Valin <jmvalin at jmvalin.ca> wrote: > On 24/04/17 08:03 PM, Linfeng Zhang wrote: > > Tested on my chromebook, when stride (channel) == 1, the optimization > > has no gain compared with C function. > > You mean that the Neon code is the same speed as the C code for > stride==1? This is not terribly surprising for an IIRC

...( + const NSQ_del_decs_struct *psDelDec, + const opus_int offset, + const opus_int last_smple_idx, + const opus_int Winner_ind, + const int32x2_t gain_lo_s32x2, + const int32x2_t gain_hi_s32x2, + const int32x4_t shift_s32x4, + int32x4_t t0_s32x4, + int32x4_t t1_s32x4, + opus_int8 *pulses, + opus_int16 *pxq, + silk_nsq_state *NSQ +) +{ + int16x8_t t_s16x8; + int32x4_t o0_s32x4, o1_s32x4; + + t0_s32x4 = vld1q_lane_s32( &amp...

NSQ_LPC_BUF_LENGTH is independent of DECISION_DELAY. --- silk/define.h | 4 ---- 1 file changed, 4 deletions(-) diff --git a/silk/define.h b/silk/define.h index 781cfdc..1286048 100644 --- a/silk/define.h +++ b/silk/define.h @@ -173,11 +173,7 @@ extern "C" #define MAX_MATRIX_SIZE MAX_LPC_ORDER /* Max of LPC Order and LTP order */ -#if( MAX_LPC_ORDER >

I rebased my previous 3 patches to the current master with minor changes. Patches 1 to 3 replace all my previous submitted patches. Patches 4 and 5 are new. Thanks, Linfeng Zhang