This makes hipLaunchKernelGGL take a variable argument list, that will be
expanded before being fed to hipLaunchKernelGGLInternal.
This is different from 4dfef9a25b.
We try to accomodate the case when a kernel template has multiple
type parameters.
Change-Id: I87577d402c92b0f3b51e298f8293f4065e1f6de8
[ROCm/clr commit: 133251a6e1]
This makes hipLaunchKernelGGL take a variable argument list, that will be
expanded before being fed to hipLaunchKernelGGLInternal.
Change-Id: Id76e2bf91acd5d68f56a24fc39f219f2eeb06d33
[ROCm/clr commit: fb6bb04f03]
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
[ROCm/clr commit: e288338e4a]
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).
[ROCm/clr commit: dc9ecf03f8]
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.
[ROCm/clr commit: 7f49e47217]
* 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.
[ROCm/clr commit: 6da0c82b78]
Reverting #1673, #1697 and #1707.
Support for hipMemcpyWithStream and memcpy optimizations, will be brought in again once issues seen with these are resolved independently.
[ROCm/clr commit: a369bd4418]
* [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
[ROCm/clr commit: d8d9f16f17]
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!
[ROCm/clr commit: 11f23bba39]
Added new memory API's hipMemAllocPitch, hipMemAllocHost, hipMemsetD16, hipMemsetD16Async, hipMemsetD8Async
Modified to support all scenarios hipMemcpyParam2DAsync, hipMemcpyParam2D.
[ROCm/clr commit: 96890792b0]
* Add hipMemcpy3DAsync
* Fix CI build error
* Move back stream resolution to internal function
* Remove stream redefinition and check
[ROCm/clr commit: fbc9f7e20a]
* Add support for hipFunGetAttribute
* Support NVCC path
* Test using sample module_api_global
* Try fixing CI build failure due to hip_prof_gen scan
* Fix for CI build issue
* Resolve conflict
* Rebase and resolve conflicts with master
* Fix build error
* Fix NVCC path build error
[ROCm/clr commit: 8b6317d041]
* Add Max Texture 1D,2D,3D device properties
* Corrected testcase to use enums defined in hipDeviceAttribute_t
* Added texture 1D,2D and 3D support for NVIDIA path
[ROCm/clr commit: 00aa42e05f]
* Remove flags parameter from hipOccupancyMaxPotentialBlockSize
This commit makes the hipOccupancyMaxPotentialBlockSize method consistent with hcc path and the CUDA API.
[ROCm/clr commit: a401997b8e]
Ronak Chauhan
Sarbojit Sarkar
Rahul Garg
Joseph Greathouse
Aryan Salmanpour
vsytch
Evgeny Mankov
Alex Voicu
Anusha Godavarthy Surya
Philip Salzmann
ansurya
Sarbojit2019
Maneesh Gupta
Jannik
Rahul Garg
Steven Noonan