Use Base.tanpi in intrinsics

`tanpi` is in Julia since 1.10 so allsupported versions have it

Author: christiangnrd

src/device/intrinsics/math.jl

@@ -267,8 +267,8 @@ end
 @device_override Base.tanh(x::Float16) = ccall("extern air.tanh.f16", llvmcall, Float16, (Float16,), x)
 
 @device_function tanpi_fast(x::Float32) = ccall("extern air.fast_tanpi.f32", llvmcall, Cfloat, (Cfloat,), x)
-@device_function tanpi(x::Float32) = ccall("extern air.tanpi.f32", llvmcall, Cfloat, (Cfloat,), x)
-@device_function tanpi(x::Float16) = ccall("extern air.tanpi.f16", llvmcall, Float16, (Float16,), x)
+@device_override Base.tanpi(x::Float32) = ccall("extern air.tanpi.f32", llvmcall, Cfloat, (Cfloat,), x)
+@device_override Base.tanpi(x::Float16) = ccall("extern air.tanpi.f16", llvmcall, Float16, (Float16,), x)
 
 @device_function trunc_fast(x::Float32) = ccall("extern air.fast_trunc.f32", llvmcall, Cfloat, (Cfloat,), x)
 @device_override Base.trunc(x::Float32) = ccall("extern air.trunc.f32", llvmcall, Cfloat, (Cfloat,), x)
@@ -418,7 +418,7 @@ end
     j = fma(1.442695f0, a, 12582912.0f0)
     j = j - 12582912.0f0
     i = unsafe_trunc(Int32, j)
-    f = fma(j, -6.93145752f-1, a) # log_2_hi 
+    f = fma(j, -6.93145752f-1, a) # log_2_hi
     f = fma(j, -1.42860677f-6, f) # log_2_lo
 
     # approximate r = exp(f)-1 on interval [-log(2)/2, +log(2)/2]