SWDEV-330657 - Remove hipThreadIdx definition (#2644)

Change-Id: Ic54c1ad1466c6e950e8b5f95ee8565e28c1db70c
此提交包含在:
ROCm CI Service Account
2022-05-17 11:32:58 +05:30
提交者 GitHub
父節點 e58351465f
當前提交 fc3f1e2d20
+1 -1
查看文件
@@ -142,7 +142,7 @@ The tools also struggle with more complex CUDA applications, in particular, thos
- For Nvidia platforms, HIP requires Unified Memory and should run on any device supporting CUDA SDK 6.0 or newer. We have tested the Nvidia Titan and Tesla K40.
### Do HIPIFY tools automatically convert all source code?
Typically, HIPIFY tools can automatically convert almost all run-time code, and the coordinate indexing device code ( threadIdx.x -> hipThreadIdx_x ).
Typically, HIPIFY tools can automatically convert almost all run-time code.
Most device code needs no additional conversion since HIP and CUDA have similar names for math and built-in functions.
The hipify-clang tool will automatically modify the kernel signature as needed (automating a step that used to be done manually).
Additional porting may be required to deal with architecture feature queries or with CUDA capabilities that HIP doesn't support.