1.Rename include/hip/hcc_detail/ as include/hip/amd_detail/
2.Rename include/hip/nvcc_detail/ as include/hip/nvidia_detail/
3.Create __HIP_PLATFORM_AMD__ to replace __HIP_PLATFORM_HCC__
4.Create __HIP_PLATFORM_NVIDIA__ to replace __HIP_PLATFORM_NVCC__
After hcc_detail, nvcc_detail, __HIP_PLATFORM_HCC__ and __HIP_PLATFORM_NVCC__
have been removed from upstream, they will be removed from hip runtime.
Change-Id: I1ae457effd739d6c25bca203c1724b026be21fce
Remove hip-hcc codes from hip code base
Simplify hip CMakeLists.txt to exclude hip-hcc
Simplify cmake cmd for hip-rocclr building
Some minor fixes
Change-Id: I1ae357ecfd638d6c25bca293c1724b026be21ecd
SWDEV-262064 - compilation fails when hipLaunchCooperativeKernel C++ routine is invoked
on nvcc path.
Change-Id: Icde35dd1a7008b406401bb3996c06d7acfb27d8d
[background] There is currently a compilation issue when both hip/hip_runtime.h and hip/hip_cooperative_groups.h included
in a file and hipcc used to compile it on NV platform. The issue is that an abort is defined in hip/nvcc_detail/hip_runtime.h
and it is also defined in the CUDA cooperative groups header (/cuda/include/cooperative_groups/details/helpers.h).
this is problematic and leads to a compilation issue in hipcc on NV platform.
Change-Id: I2ab6982ac4103822a1a4a0ced942cd604d6c19c1
This makes hipLaunchKernelGGL take a variable argument list, that will be
expanded before being fed to hipLaunchKernelGGLInternal.
This is different from fb6bb04f03.
We try to accomodate the case when a kernel template has multiple
type parameters.
Change-Id: I87577d402c92b0f3b51e298f8293f4065e1f6de8
This makes hipLaunchKernelGGL take a variable argument list, that will be
expanded before being fed to hipLaunchKernelGGLInternal.
Change-Id: Id76e2bf91acd5d68f56a24fc39f219f2eeb06d33
1. Updated FAQ with shft*sync not supported hip_faq.md
2. Corrected some of input parameter description in hcc_details/hip_runtime_api.h
3. Redirect shfl*() to shfl_*_sync() for nvcc path where CUDA > 9.0
Change-Id: I3d8184db5fcc622852c9bad96b706348e8dfc16c
GCC emits a warning about using static functions like
hipCUDAErrorTohipError inside this function, because it has an
inline directive, but it's not static. Adding static to this function
to silence warnings (and prevent potential problems in the future).
NVCC warned if you tried to use hipOccupancyMaxActiveBlocksPerMultiprocessor
because when passing in a device function pointer, "const void* func" was
insufficient to describe it accurately. Adding a C++ templated class type
definition for this function.
* Add missing texturePitchAlignment member to the hipDeviceProp_t struct.
* Add missing hipDeviceAttributeTexturePitchAlignment enumerator to the hipDeviceAttribute_t enum.
* Initialize texturePitchAlignment to 256. This works for gfx9+, but is technically overaligned in most cases for pre-gfx9.
* Add the texturePitchAlignment property to the NVCC path.
Reverting #1673, #1697 and #1707.
Support for hipMemcpyWithStream and memcpy optimizations, will be brought in again once issues seen with these are resolved independently.
* [HIP] Introduce library_types.h as a common header for libs
[Reason]
Currently, hipFFT, hipBLAS and other HIP libs use their own data types, prefixed with HIPFFT or HIPBLAS, whereas in CUDA those types are common and declared in library_types.h
[TODO]
Switch hipFFT, hipBLAS and other HIP libs to use common library_types.h.
* [HIP] Move include for library_types.h to hip_runtime.h
[Reason]
Repeat CUDA's behaviour, where library_types.h is included in cuda_runtime.h
This fixes the usage of an uninitialized cdattr variable in hipDeviceGetAttribute for the CUDA backend when taking the switch default, as detailed in #1317.
Note that the directed_tests/runtimeApi/device/hipGetDeviceAttribute.tst test fails for me, but it already did before applying this patch. Let's see what CI says!
Added new memory API's hipMemAllocPitch, hipMemAllocHost, hipMemsetD16, hipMemsetD16Async, hipMemsetD8Async
Modified to support all scenarios hipMemcpyParam2DAsync, hipMemcpyParam2D.
Rahul Garg
Tao Sang
Satyanvesh Dittakavi
Sourabh Betigeri
agodavar
Vladislav Sytchenko
Aryan Salmanpour
mshivama
Sarbojit Sarkar
Todd tiantuo Li
Jatin Chaudhary
kjayapra-amd
Ronak Chauhan
Rahul Garg
Joseph Greathouse
vsytch
Evgeny Mankov
Alex Voicu
Anusha Godavarthy Surya
Philip Salzmann
ansurya
Sarbojit2019