* Update hip_runtime_api.h
when i try to use mpicc or gcc to compile a c language code which call some hip runtime api , error occured as
> /path/to/hcc_detail/hip_runtime_api.h:2268:33: error: unknown type name ‘hipFuncAttributes’;
> hipFuncGetAttributes(hipFuncAttributes* attr, const void* func);
add ' struct ' for the first parameter of hipFuncGetAttributes will get ride of this problem.
* Add CMAKE dep to amd_comgr
* Use COMGR for read_kernarg_metadata in COV2
* Do not assume kernargs exist
* Add proper metadata destroy cleanup
* Use a process function for easier destroy
* Remove old read_kernarg_metadata
* Clean up HCC, prints, names
* Use COMGR in CMAKE by default
* Move metadata lookup for keyword values into helper
* Remove C string usage for lookup_keyword_value
* Guard COMGR for non-NVCC path
* Add hip_hcc dependency on comgr package
* Add lifetime to metadata nodes
* Find COMGR config file for amd_comgr target
* Move set_active data earlier
SWDEV-145570 - Check host_context when matching GPU device.
- In CL#1766264, `host_context` is introduced for mGPU support. Need to
match that context specially when trying to match GPU device context.
The following tests passed:
$ python test_dataloader.py TestDictDataLoader.test_pin_memory
.
----------------------------------------------------------------------
Ran 1 test in 0.004s
OK
$ python test_dataloader.py TestDataLoader.test_sequential_pin_memory
.
----------------------------------------------------------------------
Ran 1 test in 0.063s
OK
$ python test_dataloader.py TestDataLoader.test_shuffle_pin_memory
.
----------------------------------------------------------------------
Ran 1 test in 0.174s
OK
$ python test_dataloader.py TestStringDataLoader.test_shuffle_pin_memory
.
----------------------------------------------------------------------
Ran 1 test in 0.104s
OK
$ python test_torch.py TestTorch.test_pin_memory
.
----------------------------------------------------------------------
Ran 1 test in 0.124s
OK
Affected files ...
... //depot/stg/opencl/drivers/opencl/api/hip/hip_memory.cpp#52 edit
+ Fix the error in cmake: clang 8.0.0 supports CUDA 10.0, not 10.1; only trunk clang 9.0.0 supports CUDA 10.1.
+ Update Readme:
1. clang's bug 36384 is gone, so latest stable release for Linux is clang 8.0.0, which supports CUDA up to 10.0;
2. update dependencies, testing and building notes.
Due to a HCC bug in rocm-head, the test fails to compile. Disabling the test until the issue is resolved.
Change-Id: Ib4e7baf0b9c2cb5f5dbe38e6dd2bab894d28886a
SWDEV-144570 - Fix pointer attribute query.
- For memory not registered with runtime, return
`hipErrorInvalidValue`. That's the behavior expected to check whether
a host buffer is pinned.
- Return `hipErrorInvalidDevice` in case a registered memory object
cannot find its matching device.
RB: http://ocltc.amd.com/reviews/r/17094/
Affected files ...
... //depot/stg/opencl/drivers/opencl/api/hip/hip_memory.cpp#51 edit
SWDEV-145570 - [HIP] Use a context with all devices in system for host register
hipHostRegister and hipMemcpy 0x10 and 0x20 fail in mGPU systems because
we only register the memory on the current device. But in HIP, the registering
needs to happen on all devices.
Affected files ...
... //depot/stg/opencl/drivers/opencl/api/hip/hip_context.cpp#17 edit
... //depot/stg/opencl/drivers/opencl/api/hip/hip_internal.hpp#26 edit
... //depot/stg/opencl/drivers/opencl/api/hip/hip_memory.cpp#50 edit
__hipRegisterFunction is called during by .init functions during program initialization.
It calls hipModuleGetFunction to locate kernel symbol in code objects. hipModuleGetFunction
assumes current device when locating kernel symbols. This works for HCC but not for hip-clang,
since hip-clang needs to locate kernel symbols for different devices without switching
between devices.
This patch introduces a new hsa agent parameter to ihipModuleGetFunction, which allows
__hipRegisterFunction to choose the correct hsa agent when locating kernel symbols. By
default it uses this_agent(), therefore this patch has no impact on HCC.
Mr-LiuSw
Aaron Enye Shi
Evgeny Mankov
Maneesh Gupta
Jenkins
Yaxun (Sam) Liu
foreman
David Salinas
Siu Chi Chan
Anthony Cowley