Update to the latest Legion (#1007)

Update legate.core SHA --------- Co-authored-by: Manolis Papadakis <[email protected]> Co-authored-by: Manolis Papadakis <[email protected]>
nv-legate · Aug 9, 2023 · 67cd9f9 · 67cd9f9
1 parent c41a47e
commit 67cd9f9
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Showing 10 changed files with 3 additions and 11 deletions.
diff --git a/cmake/versions.json b/cmake/versions.json
@@ -5,7 +5,7 @@
       "git_url" : "https://github.com/nv-legate/legate.core.git",
       "git_shallow": false,
       "always_download": false,
-      "git_tag" : "35d0d4bd3c9d19946ccc641ec7074b44bbae8046"
+      "git_tag" : "2fb6353407e0498f1cb2f530751b95b8cbc4ca99"
     }
   }
 }
diff --git a/examples/black_scholes.py b/examples/black_scholes.py
@@ -90,7 +90,6 @@ def run_black_scholes(N, D):
         help="number of options to price in thousands",
     )
     parser.add_argument(
-        "-p",
         "--precision",
         type=int,
         default=32,

diff --git a/examples/cg.py b/examples/cg.py
@@ -236,7 +236,6 @@ def run_preconditioned_cg(
         help="iterations between convergence tests",
     )
     parser.add_argument(
-        "-p",
         "--pre",
         dest="precondition",
         action="store_true",

diff --git a/examples/gemm.py b/examples/gemm.py
@@ -91,7 +91,6 @@ def run_gemm(N, I, warmup, ft):  # noqa: E741
         help="number of elements in one dimension",
     )
     parser.add_argument(
-        "-p",
         "--precision",
         type=int,
         default=32,

diff --git a/examples/ingest.py b/examples/ingest.py
@@ -35,8 +35,8 @@
     nargs="+",
     default=[3, 2, 2, 1],
 )
-parser.add_argument("-p", "--custom-partitioning", action="store_true")
-parser.add_argument("-s", "--custom-sharding", action="store_true")
+parser.add_argument("--custom-partitioning", action="store_true")
+parser.add_argument("--custom-sharding", action="store_true")
 args = parser.parse_args()
 dtype = uint16
 tile_shape = (1, 301, 704, 360)

diff --git a/examples/kmeans.py b/examples/kmeans.py
@@ -164,7 +164,6 @@ def run_kmeans(C, D, T, I, N, S, benchmarking):  # noqa: E741
         help="number of elements in the data set in thousands",
     )
     parser.add_argument(
-        "-p",
         "--precision",
         type=int,
         default=32,

diff --git a/examples/kmeans_slow.py b/examples/kmeans_slow.py
@@ -165,7 +165,6 @@ def run_kmeans(C, D, T, I, N, S, benchmarking):  # noqa: E741
         help="number of elements in the data set in thousands",
     )
     parser.add_argument(
-        "-p",
         "--precision",
         type=int,
         default=32,

diff --git a/examples/kmeans_sort.py b/examples/kmeans_sort.py
@@ -162,7 +162,6 @@ def run_kmeans(C, D, T, I, N, S, benchmarking):  # noqa: E741
         help="number of elements in the data set in thousands",
     )
     parser.add_argument(
-        "-p",
         "--precision",
         type=int,
         default=32,

diff --git a/examples/linreg.py b/examples/linreg.py
@@ -104,7 +104,6 @@ def run_linear_regression(N, F, T, I, warmup, S, B):  # noqa: E741
         help="number of elements in the data set in thousands",
     )
     parser.add_argument(
-        "-p",
         "--precision",
         type=int,
         default=32,

diff --git a/examples/logreg.py b/examples/logreg.py
@@ -121,7 +121,6 @@ def run_logistic_regression(N, F, T, I, warmup, S, B):  # noqa: E741
         help="number of elements in the data set in thousands",
     )
     parser.add_argument(
-        "-p",
         "--precision",
         type=int,
         default=32,