blacksholes f64 emulation

Author: Hardcode84

dpbench/benchmarks/black_scholes/black_scholes_numba_mlir_k.py

@@ -7,7 +7,7 @@
 import numba_mlir.kernel as nb
 
 
-@nb.kernel
+@nb.kernel(gpu_fp64_truncate="auto")
 def _black_scholes_kernel(nopt, price, strike, t, rate, volatility, call, put):
     mr = -rate
     sig_sig_two = volatility * volatility * 2

dpbench/benchmarks/black_scholes/black_scholes_numba_mlir_n.py

@@ -13,7 +13,7 @@ def _nberf(x):
     return erf(x)
 
 
-@nb.njit(parallel=True, fastmath=True)
+@nb.njit(parallel=True, fastmath=True, gpu_fp64_truncate="auto")
 def _black_scholes(price, strike, t, rate, volatility, call, put):
     mr = -rate
     sig_sig_two = volatility * volatility * 2

dpbench/benchmarks/black_scholes/black_scholes_numba_mlir_p.py

@@ -9,7 +9,7 @@
 
 
 # blackscholes implemented as a parallel loop using numba.prange
-@nb.njit(parallel=True, fastmath=True)
+@nb.njit(parallel=True, fastmath=True, gpu_fp64_truncate="auto")
 def _black_scholes(nopt, price, strike, t, rate, volatility, call, put):
     mr = -rate
     sig_sig_two = volatility * volatility * 2