Updates dpex kernel implementations to latest kernel launch syntax.

Diptorup Deb · ZzEeKkAa · commit f3926d4fe7e2 · 2023-12-26T15:54:11.000-05:00
diff --git a/dpbench/benchmarks/black_scholes/black_scholes_numba_dpex_k.py b/dpbench/benchmarks/black_scholes/black_scholes_numba_dpex_k.py
@@ -4,7 +4,6 @@
 
 from math import erf, exp, log, sqrt
 
-import dpnp as np
 import numba_dpex as dpex
 
 
@@ -41,6 +40,6 @@ def _black_scholes_kernel(nopt, price, strike, t, rate, volatility, call, put):
 
 
 def black_scholes(nopt, price, strike, t, rate, volatility, call, put):
-    _black_scholes_kernel[nopt,](
+    _black_scholes_kernel[dpex.Range(nopt)](
         nopt, price, strike, t, rate, volatility, call, put
     )
diff --git a/dpbench/benchmarks/dbscan/dbscan_numba_dpex_k.py b/dpbench/benchmarks/dbscan/dbscan_numba_dpex_k.py
@@ -130,7 +130,7 @@ def dbscan(n_samples, n_features, data, eps, min_pts):
     )
     sizes = np.zeros_like(data, shape=n_samples, dtype=np.int64)
 
-    get_neighborhood[n_samples,](
+    get_neighborhood[dpex.Range(n_samples)](
         n_samples,
         n_features,
         data,
diff --git a/dpbench/benchmarks/gpairs/gpairs_numba_dpex_k.py b/dpbench/benchmarks/gpairs/gpairs_numba_dpex_k.py
@@ -147,7 +147,7 @@ def gpairs(
         ceiling_quotient(nbins, private_hist_size) * private_hist_size
     )
 
-    count_weighted_pairs_3d_intel_no_slm_ker[gwsRange, lwsRange](
+    count_weighted_pairs_3d_intel_no_slm_ker[dpex.NdRange(gwsRange, lwsRange)](
         nopt,
         nbins,
         slm_hist_size,
diff --git a/dpbench/benchmarks/knn/knn_numba_dpex_k.py b/dpbench/benchmarks/knn/knn_numba_dpex_k.py
@@ -106,7 +106,7 @@ def knn(
     votes_to_classes,
     data_dim,
 ):
-    _knn_kernel[test_size,](
+    _knn_kernel[dpex.Range(test_size)](
         x_train,
         y_train,
         x_test,
diff --git a/dpbench/benchmarks/l2_norm/l2_norm_numba_dpex_k.py b/dpbench/benchmarks/l2_norm/l2_norm_numba_dpex_k.py
@@ -17,4 +17,4 @@ def l2_norm_kernel(a, d):
 
 
 def l2_norm(a, d):
-    l2_norm_kernel[a.shape[0],](a, d)
+    l2_norm_kernel[dpex.Range(a.shape[0])](a, d)

Original file line number	Diff line number	Diff line change
`@@ -4,7 +4,6 @@`
`4`	`4`
`5`	`5`	`from math import erf, exp, log, sqrt`
`6`	`6`
`7`		`-import dpnp as np`
`8`	`7`	`import numba_dpex as dpex`
`9`	`8`
`10`	`9`
`@@ -41,6 +40,6 @@ def _black_scholes_kernel(nopt, price, strike, t, rate, volatility, call, put):`
`41`	`40`
`42`	`41`
`43`	`42`	`def black_scholes(nopt, price, strike, t, rate, volatility, call, put):`
`44`		`- _black_scholes_kernel[nopt,](`
	`43`	`+ _black_scholes_kernel[dpex.Range(nopt)](`
`45`	`44`	`nopt, price, strike, t, rate, volatility, call, put`
`46`	`45`	`)`
Original file line number	Diff line number	Diff line change
`@@ -130,7 +130,7 @@ def dbscan(n_samples, n_features, data, eps, min_pts):`
`130`	`130`	`)`
`131`	`131`	`sizes = np.zeros_like(data, shape=n_samples, dtype=np.int64)`
`132`	`132`
`133`		`- get_neighborhood[n_samples,](`
	`133`	`+ get_neighborhood[dpex.Range(n_samples)](`
`134`	`134`	`n_samples,`
`135`	`135`	`n_features,`
`136`	`136`	`data,`
Original file line number	Diff line number	Diff line change
`@@ -147,7 +147,7 @@ def gpairs(`
`147`	`147`	`ceiling_quotient(nbins, private_hist_size) * private_hist_size`
`148`	`148`	`)`
`149`	`149`
`150`		`- count_weighted_pairs_3d_intel_no_slm_ker[gwsRange, lwsRange](`
	`150`	`+ count_weighted_pairs_3d_intel_no_slm_ker[dpex.NdRange(gwsRange, lwsRange)](`
`151`	`151`	`nopt,`
`152`	`152`	`nbins,`
`153`	`153`	`slm_hist_size,`
Original file line number	Diff line number	Diff line change
`@@ -17,4 +17,4 @@ def l2_norm_kernel(a, d):`
`17`	`17`
`18`	`18`
`19`	`19`	`def l2_norm(a, d):`
`20`		`- l2_norm_kernel[a.shape[0],](a, d)`
	`20`	`+ l2_norm_kernel[dpex.Range(a.shape[0])](a, d)`