[gcc r14-4267] ada: Make minor corrections to CUDA-related comments
Marc Poulhi?s
dkm@gcc.gnu.org
Tue Sep 26 11:45:36 GMT 2023
https://gcc.gnu.org/g:4a91264af429ed84f0e06d6766a316ef29420521
commit r14-4267-g4a91264af429ed84f0e06d6766a316ef29420521
Author: Ronan Desplanques <desplanques@adacore.com>
Date: Tue Sep 12 15:26:13 2023 +0200
ada: Make minor corrections to CUDA-related comments
gcc/ada/
* exp_prag.adb: Make minor corrections in comments.
* rtsfind.ads: Remove unused element from RTU_Id definition.
Diff:
---
gcc/ada/exp_prag.adb | 8 ++++----
gcc/ada/rtsfind.ads | 1 -
2 files changed, 4 insertions(+), 5 deletions(-)
diff --git a/gcc/ada/exp_prag.adb b/gcc/ada/exp_prag.adb
index 1cc4653a3b0..d2807cdc7ef 100644
--- a/gcc/ada/exp_prag.adb
+++ b/gcc/ada/exp_prag.adb
@@ -685,7 +685,7 @@ package body Exp_Prag is
-- Blocks_Id'address,
-- Mem_Id'address,
-- Stream_Id'address),
- -- CUDA.Runtime_Api.Launch_Kernel (
+ -- CUDA.Internal.Launch_Kernel (
-- My_Proc'Address,
-- Blocks_Id,
-- Grids_Id,
@@ -703,7 +703,7 @@ package body Exp_Prag is
Decls : List_Id;
Copies : Elist_Id);
-- For each parameter in list Params, create an object declaration of
- -- the followinng form:
+ -- the following form:
--
-- Copy_Id : Param_Typ := Param_Val;
--
@@ -755,8 +755,8 @@ package body Exp_Prag is
Kernel_Arg : Entity_Id;
Memory : Entity_Id;
Stream : Entity_Id) return Node_Id;
- -- Builds and returns a call to CUDA.Launch_Kernel using the given
- -- arguments. Proc is the entity of the procedure passed to the
+ -- Builds and returns a call to CUDA.Internal.Launch_Kernel using the
+ -- given arguments. Proc is the entity of the procedure passed to the
-- CUDA_Execute pragma. Grid_Dims and Block_Dims are entities of the
-- generated declarations that hold the kernel's dimensions. Args is the
-- entity of the temporary array that holds the arguments of the kernel.
diff --git a/gcc/ada/rtsfind.ads b/gcc/ada/rtsfind.ads
index 881f723dfa9..669f6df79cb 100644
--- a/gcc/ada/rtsfind.ads
+++ b/gcc/ada/rtsfind.ads
@@ -179,7 +179,6 @@ package Rtsfind is
CUDA_Driver_Types,
CUDA_Internal,
- CUDA_Runtime_Api,
CUDA_Vector_Types,
-- Interfaces
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