[(set_attr "type" "neon_mla_<Vetype>_scalar_long")]
)
+(define_insn "aarch64_<su>mlsl_hi_lane<mode>_insn"
+ [(set (match_operand:<VWIDE> 0 "register_operand" "=w")
+ (minus:<VWIDE>
+ (match_operand:<VWIDE> 1 "register_operand" "0")
+ (mult:<VWIDE>
+ (ANY_EXTEND:<VWIDE> (vec_select:<VHALF>
+ (match_operand:VQ_HSI 2 "register_operand" "w")
+ (match_operand:VQ_HSI 3 "vect_par_cnst_hi_half" "")))
+ (ANY_EXTEND:<VWIDE> (vec_duplicate:<VHALF>
+ (vec_select:<VEL>
+ (match_operand:<VCOND> 4 "register_operand" "<vwx>")
+ (parallel [(match_operand:SI 5 "immediate_operand" "i")]))))
+ )))]
+ "TARGET_SIMD"
+ {
+ operands[5] = aarch64_endian_lane_rtx (<VCOND>mode, INTVAL (operands[5]));
+ return "<su>mlsl2\\t%0.<Vwtype>, %2.<Vtype>, %4.<Vetype>[%5]";
+ }
+ [(set_attr "type" "neon_mla_<Vetype>_scalar_long")]
+)
+
+(define_expand "aarch64_<su>mlsl_hi_lane<mode>"
+ [(match_operand:<VWIDE> 0 "register_operand")
+ (match_operand:<VWIDE> 1 "register_operand")
+ (ANY_EXTEND:<VWIDE>(match_operand:VQ_HSI 2 "register_operand"))
+ (match_operand:<VCOND> 3 "register_operand")
+ (match_operand:SI 4 "immediate_operand")]
+ "TARGET_SIMD"
+{
+ rtx p = aarch64_simd_vect_par_cnst_half (<MODE>mode, <nunits>, true);
+ emit_insn (gen_aarch64_<su>mlsl_hi_lane<mode>_insn (operands[0],
+ operands[1], operands[2], p, operands[3], operands[4]));
+ DONE;
+}
+)
+
+(define_insn "aarch64_<su>mlsl_hi_laneq<mode>_insn"
+ [(set (match_operand:<VWIDE> 0 "register_operand" "=w")
+ (minus:<VWIDE>
+ (match_operand:<VWIDE> 1 "register_operand" "0")
+ (mult:<VWIDE>
+ (ANY_EXTEND:<VWIDE> (vec_select:<VHALF>
+ (match_operand:VQ_HSI 2 "register_operand" "w")
+ (match_operand:VQ_HSI 3 "vect_par_cnst_hi_half" "")))
+ (ANY_EXTEND:<VWIDE> (vec_duplicate:<VHALF>
+ (vec_select:<VEL>
+ (match_operand:<VCONQ> 4 "register_operand" "<vwx>")
+ (parallel [(match_operand:SI 5 "immediate_operand" "i")]))))
+ )))]
+ "TARGET_SIMD"
+ {
+ operands[5] = aarch64_endian_lane_rtx (<VCONQ>mode, INTVAL (operands[5]));
+ return "<su>mlsl2\\t%0.<Vwtype>, %2.<Vtype>, %4.<Vetype>[%5]";
+ }
+ [(set_attr "type" "neon_mla_<Vetype>_scalar_long")]
+)
+
+(define_expand "aarch64_<su>mlsl_hi_laneq<mode>"
+ [(match_operand:<VWIDE> 0 "register_operand")
+ (match_operand:<VWIDE> 1 "register_operand")
+ (ANY_EXTEND:<VWIDE>(match_operand:VQ_HSI 2 "register_operand"))
+ (match_operand:<VCONQ> 3 "register_operand")
+ (match_operand:SI 4 "immediate_operand")]
+ "TARGET_SIMD"
+{
+ rtx p = aarch64_simd_vect_par_cnst_half (<MODE>mode, <nunits>, true);
+ emit_insn (gen_aarch64_<su>mlsl_hi_laneq<mode>_insn (operands[0],
+ operands[1], operands[2], p, operands[3], operands[4]));
+ DONE;
+}
+)
+
;; FP vector operations.
;; AArch64 AdvSIMD supports single-precision (32-bit) and
;; double-precision (64-bit) floating-point data types and arithmetic as
(int32x2_t) __c);
}
-#define vmlsl_high_lane_s16(a, b, c, d) \
- __extension__ \
- ({ \
- int16x4_t c_ = (c); \
- int16x8_t b_ = (b); \
- int32x4_t a_ = (a); \
- int32x4_t result; \
- __asm__ ("smlsl2 %0.4s, %2.8h, %3.h[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "x"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline int32x4_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_lane_s16(int32x4_t __a, int16x8_t __b, int16x4_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_smlsl_hi_lanev8hi (__a, __b, __v, __lane);
+}
-#define vmlsl_high_lane_s32(a, b, c, d) \
- __extension__ \
- ({ \
- int32x2_t c_ = (c); \
- int32x4_t b_ = (b); \
- int64x2_t a_ = (a); \
- int64x2_t result; \
- __asm__ ("smlsl2 %0.2d, %2.4s, %3.s[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "w"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline int64x2_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_lane_s32(int64x2_t __a, int32x4_t __b, int32x2_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_smlsl_hi_lanev4si (__a, __b, __v, __lane);
+}
-#define vmlsl_high_lane_u16(a, b, c, d) \
- __extension__ \
- ({ \
- uint16x4_t c_ = (c); \
- uint16x8_t b_ = (b); \
- uint32x4_t a_ = (a); \
- uint32x4_t result; \
- __asm__ ("umlsl2 %0.4s, %2.8h, %3.h[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "x"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline uint32x4_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_lane_u16(uint32x4_t __a, uint16x8_t __b, uint16x4_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_umlsl_hi_lanev8hi_uuuus (__a, __b, __v, __lane);
+}
-#define vmlsl_high_lane_u32(a, b, c, d) \
- __extension__ \
- ({ \
- uint32x2_t c_ = (c); \
- uint32x4_t b_ = (b); \
- uint64x2_t a_ = (a); \
- uint64x2_t result; \
- __asm__ ("umlsl2 %0.2d, %2.4s, %3.s[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "w"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline uint64x2_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_lane_u32(uint64x2_t __a, uint32x4_t __b, uint32x2_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_umlsl_hi_lanev4si_uuuus (__a, __b, __v, __lane);
+}
-#define vmlsl_high_laneq_s16(a, b, c, d) \
- __extension__ \
- ({ \
- int16x8_t c_ = (c); \
- int16x8_t b_ = (b); \
- int32x4_t a_ = (a); \
- int32x4_t result; \
- __asm__ ("smlsl2 %0.4s, %2.8h, %3.h[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "x"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline int32x4_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_laneq_s16(int32x4_t __a, int16x8_t __b, int16x8_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_smlsl_hi_laneqv8hi (__a, __b, __v, __lane);
+}
-#define vmlsl_high_laneq_s32(a, b, c, d) \
- __extension__ \
- ({ \
- int32x4_t c_ = (c); \
- int32x4_t b_ = (b); \
- int64x2_t a_ = (a); \
- int64x2_t result; \
- __asm__ ("smlsl2 %0.2d, %2.4s, %3.s[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "w"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline int64x2_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_laneq_s32(int64x2_t __a, int32x4_t __b, int32x4_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_smlsl_hi_laneqv4si (__a, __b, __v, __lane);
+}
-#define vmlsl_high_laneq_u16(a, b, c, d) \
- __extension__ \
- ({ \
- uint16x8_t c_ = (c); \
- uint16x8_t b_ = (b); \
- uint32x4_t a_ = (a); \
- uint32x4_t result; \
- __asm__ ("umlsl2 %0.4s, %2.8h, %3.h[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "x"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline uint32x4_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_laneq_u16(uint32x4_t __a, uint16x8_t __b, uint16x8_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_umlsl_hi_laneqv8hi_uuuus (__a, __b, __v, __lane);
+}
-#define vmlsl_high_laneq_u32(a, b, c, d) \
- __extension__ \
- ({ \
- uint32x4_t c_ = (c); \
- uint32x4_t b_ = (b); \
- uint64x2_t a_ = (a); \
- uint64x2_t result; \
- __asm__ ("umlsl2 %0.2d, %2.4s, %3.s[%4]" \
- : "=w"(result) \
- : "0"(a_), "w"(b_), "w"(c_), "i"(d) \
- : /* No clobbers */); \
- result; \
- })
+__extension__ extern __inline uint64x2_t
+__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
+vmlsl_high_laneq_u32(uint64x2_t __a, uint32x4_t __b, uint32x4_t __v,
+ const int __lane)
+{
+ return __builtin_aarch64_umlsl_hi_laneqv4si_uuuus (__a, __b, __v, __lane);
+}
__extension__ extern __inline int32x4_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))