aarch64: Use RTL builtins for integer mls_n intrinsics

Rewrite integer mls_n Neon intrinsics to use RTL builtins rather than
inline assembly code, allowing for better scheduling and
optimization.

gcc/ChangeLog:

2021-01-15  Jonathan Wright  <jonathan.wright@arm.com>

	* config/aarch64/aarch64-simd-builtins.def: Add mls_n builtin
	generator macro.
	* config/aarch64/aarch64-simd.md (*aarch64_mls_elt_merge<mode>):
	Rename to...
	(aarch64_mls_n<mode>): This.
	* config/aarch64/arm_neon.h (vmls_n_s16): Use RTL builtin
	instead of asm.
	(vmls_n_s32): Likewise.
	(vmls_n_u16): Likewise.
	(vmls_n_u32): Likewise.
	(vmlsq_n_s16): Likewise.
	(vmlsq_n_s32): Likewise.
	(vmlsq_n_u16): Likewise.
	(vmlsq_n_u32): Likewise.
This commit is contained in:
Jonathan Wright 2021-01-15 15:48:59 +00:00
parent d2201ac0df
commit 3fd10728cb
3 changed files with 24 additions and 53 deletions

View File

@ -185,6 +185,8 @@
/* Implemented by aarch64_mls<mode>. */
BUILTIN_VDQ_BHSI (TERNOP, mls, 0, NONE)
/* Implemented by aarch64_mls_n<mode>. */
BUILTIN_VDQHS (TERNOP, mls_n, 0, NONE)
/* Implemented by aarch64_<su>mlsl<mode>. */
BUILTIN_VD_BHSI (TERNOP, smlsl, 0, NONE)

View File

@ -1443,15 +1443,16 @@
[(set_attr "type" "neon_mla_<Vetype>_scalar<q>")]
)
(define_insn "*aarch64_mls_elt_merge<mode>"
(define_insn "aarch64_mls_n<mode>"
[(set (match_operand:VDQHS 0 "register_operand" "=w")
(minus:VDQHS
(match_operand:VDQHS 1 "register_operand" "0")
(mult:VDQHS (vec_duplicate:VDQHS
(match_operand:<VEL> 2 "register_operand" "<h_con>"))
(match_operand:VDQHS 3 "register_operand" "w"))))]
(mult:VDQHS
(vec_duplicate:VDQHS
(match_operand:<VEL> 3 "register_operand" "<h_con>"))
(match_operand:VDQHS 2 "register_operand" "w"))))]
"TARGET_SIMD"
"mls\t%0.<Vtype>, %3.<Vtype>, %2.<Vetype>[0]"
"mls\t%0.<Vtype>, %2.<Vtype>, %3.<Vetype>[0]"
[(set_attr "type" "neon_mla_<Vetype>_scalar<q>")]
)

View File

@ -7840,48 +7840,32 @@ __extension__ extern __inline int16x4_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmls_n_s16 (int16x4_t __a, int16x4_t __b, int16_t __c)
{
int16x4_t __result;
__asm__ ("mls %0.4h, %2.4h, %3.h[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "x"(__c)
: /* No clobbers */);
return __result;
return __builtin_aarch64_mls_nv4hi (__a, __b, __c);
}
__extension__ extern __inline int32x2_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmls_n_s32 (int32x2_t __a, int32x2_t __b, int32_t __c)
{
int32x2_t __result;
__asm__ ("mls %0.2s, %2.2s, %3.s[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "w"(__c)
: /* No clobbers */);
return __result;
return __builtin_aarch64_mls_nv2si (__a, __b, __c);
}
__extension__ extern __inline uint16x4_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmls_n_u16 (uint16x4_t __a, uint16x4_t __b, uint16_t __c)
{
uint16x4_t __result;
__asm__ ("mls %0.4h, %2.4h, %3.h[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "x"(__c)
: /* No clobbers */);
return __result;
return (uint16x4_t) __builtin_aarch64_mls_nv4hi ((int16x4_t) __a,
(int16x4_t) __b,
(int16_t) __c);
}
__extension__ extern __inline uint32x2_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmls_n_u32 (uint32x2_t __a, uint32x2_t __b, uint32_t __c)
{
uint32x2_t __result;
__asm__ ("mls %0.2s, %2.2s, %3.s[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "w"(__c)
: /* No clobbers */);
return __result;
return (uint32x2_t) __builtin_aarch64_mls_nv2si ((int32x2_t) __a,
(int32x2_t) __b,
(int32_t) __c);
}
__extension__ extern __inline int8x8_t
@ -8353,48 +8337,32 @@ __extension__ extern __inline int16x8_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmlsq_n_s16 (int16x8_t __a, int16x8_t __b, int16_t __c)
{
int16x8_t __result;
__asm__ ("mls %0.8h, %2.8h, %3.h[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "x"(__c)
: /* No clobbers */);
return __result;
return __builtin_aarch64_mls_nv8hi (__a, __b, __c);
}
__extension__ extern __inline int32x4_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmlsq_n_s32 (int32x4_t __a, int32x4_t __b, int32_t __c)
{
int32x4_t __result;
__asm__ ("mls %0.4s, %2.4s, %3.s[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "w"(__c)
: /* No clobbers */);
return __result;
return __builtin_aarch64_mls_nv4si (__a, __b, __c);
}
__extension__ extern __inline uint16x8_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmlsq_n_u16 (uint16x8_t __a, uint16x8_t __b, uint16_t __c)
{
uint16x8_t __result;
__asm__ ("mls %0.8h, %2.8h, %3.h[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "x"(__c)
: /* No clobbers */);
return __result;
return (uint16x8_t) __builtin_aarch64_mls_nv8hi ((int16x8_t) __a,
(int16x8_t) __b,
(int16_t) __c);
}
__extension__ extern __inline uint32x4_t
__attribute__ ((__always_inline__, __gnu_inline__, __artificial__))
vmlsq_n_u32 (uint32x4_t __a, uint32x4_t __b, uint32_t __c)
{
uint32x4_t __result;
__asm__ ("mls %0.4s, %2.4s, %3.s[0]"
: "=w"(__result)
: "0"(__a), "w"(__b), "w"(__c)
: /* No clobbers */);
return __result;
return (uint32x4_t) __builtin_aarch64_mls_nv4si ((int32x4_t) __a,
(int32x4_t) __b,
(int32_t) __c);
}
__extension__ extern __inline int8x16_t