Even though the runtime and driver texture object API is one to one, the structs used by these APIs are not. See hipResourceDesc vs HIP_RESOURCE_DESC differences.
These differences are not trivial and most likely won't be able to handled by hipify, so we need new API entry points.
Change-Id: Id4bcb1ad0ae15378dbdb5a2ed07e5ea30f320082
- Use symbol value as the qeury key. Compared to the symbol name, the
symbol value is more robust as developers may use unqualified or
qualified identifiers. It also removes the mangling and/or demangling
requirement for the runtime API.
Change-Id: I9d4259f3842612c7cc98551269fc2092d8b5c19e
This also adds declarations of all the missing texture APIs.
hipTexRefSet*() functions need to take a textureReference as a ptr for type erasure to work. Runtime has been modified to accomodate this.
This change only applies to VDI.
Change-Id: Icf43cc5bd44dfc2c39084b7fe56d5a793bf7319f
Currently the texture C++ API is forwarded to the ihip*Impl() calls, which are not even a part of Cuda. These should be forwarded to their respective Cuda C APIs instead.
This change also fixes a bug with hipUnbindTexture() creating a dangling pointer.
Change-Id: Ifafc9d106855a11bec84a18ea214b3d89e39990d
Fix compilation error on hip-hcc+clang , hip-vdi+clang
Enabled hipExtLaunchMultiKernelMultiDevice test on hip-vdi path
hipExtLaunchMultiKernelMultiDevice common declaration for all paths
Change-Id: I76031840614fce8e12a8e845548fa43a389a741a
This PR is a follow-up on PR# #1698 and it makes two more APIs (hipLaunchCooperativeKernel/hipLaunchCooperativeKernelMultiDevice) inline so that they can work correctly with lazy binding.
Reverting #1673, #1697 and #1707.
Support for hipMemcpyWithStream and memcpy optimizations, will be brought in again once issues seen with these are resolved independently.
[Background] it was found that if lazy linking used for a library that calls hipExtLaunchMultiKernelMultiDevice API then this API can get the wrong program_state object for looking up device kernels leading to a "No device code available" error in this API.
To fix this issue, the API was refactored to be inline and get and pass the correct program_state to an internal hip API to request a multi-device kernel launch.
* Add support for extended launch syntax.
* Add unit test.
* Fix typo
* hipExtLaunchKernelGGL lives in hip_ext.h
Change-Id: Ice32dab0d43475fda65c6a910c11416871a8f2ff
* [dtest] remove redundant include from hipModuleGetGlobal dtest
Texture 2D image mapping for pitched arrays:
github issue: Texture Object's Buffer seems to be Misaligned #886
JIRA ticket: SWDEV-199313
SWDEV-151670 : Fixed issue with 3D texture with 4 components
SWDEV-151671 : Issue with 2D layered texture with 4 components
- Fix 2 runtime API prototypes
`hipOccupancyMaxActiveBlocksPerMultiprocessor` and
`hipOccupancyMaxActiveBlocksPerMultiprocessorWithFlags`
- Add missing function templates of them in hip-clang.
Added new memory API's hipMemAllocPitch, hipMemAllocHost, hipMemsetD16, hipMemsetD16Async, hipMemsetD8Async
Modified to support all scenarios hipMemcpyParam2DAsync, hipMemcpyParam2D.
* add default visibility to most APIs in program_state
* remove unwanted C++ headers
* Add symbol visibility pragmas and compiler flags
* Add visibility attribute to APIs in channel_descriptor and hip_hcc
* remove unused headers
* simplify build flags with hcc
* add pragma visibility hidden to functional_grid_launch
* [CMake] add gfx908 back
* 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
* Enabled gcc for hip host code
* Adding tests for hip code + (gcc & g++), without kernels
* Excluding nvcc platforms for gcc and g++ tests + Addressing review comments
* minor code clean-up
* Add rocm include path
* Added relative path for library
* Hiding non supported functions for gcc
* Incorporating review comments
Vladislav Sytchenko
Michael LIAO
Sarbojit Sarkar
Lad, Aditya
agodavar
Rahul Garg
Aryan Salmanpour
Maneesh Gupta
satyanveshd
Evgeny Mankov
Alex Voicu
mhbliao
Sarbojit2019
ansurya
Michael LIAO
Vladislav Sytchenko
eshcherb
Yaxun (Sam) Liu
Siu Chi Chan