The logic can analyze the AQL queue state and
find a failed AQL packet with the kernel's name
Change-Id: I1a478fa2c25462cd07a194784958bdf22454b897
[ROCm/clr commit: ea0b092af8]
- Refactor blit code and clean ASAN instrumentation
- Use unified function for rocr copy
- Enable shader copy path for unpinned writeBuffer/readBuffer paths
- Set GPU_FORCE_BLIT_COPY_SIZE=16 which means we will use BLIT copy for
pinned copies or unpinned H2D/D2H copies < 16KB
Change-Id: I42045cca79234b340dbf53dafb93044199736ae4
[ROCm/clr commit: 7863eb92dc]
- Default values are being assigned causing occupancy calculation to go
wrong without the right values defined for gfx12 ASICs
- Also added the these values for gfx1105
Change-Id: I611cc3a8ed8c57f2def637310ce1c3a48c16a574
[ROCm/clr commit: a26dc29eb9]
- Device can have multiple isas as per HSA spec
- First isa is most specific one, so this change is sort of a NOP
Change-Id: Ib332af21745f2e6a7c25db8986bf7717501059bc
[ROCm/clr commit: 3387f48b56]
Although unpinned copies require synchronizations
in HIP, runtime can avoid syncs for H2D copies with
a staging buffer
Change-Id: If2203c6bc0cbd89742823688dc8e89e9acd873b2
[ROCm/clr commit: 29cc678d8d]
Fixes the memory leak with hipExtStreamCreateWithCUMask API.
hsa queues with cumask set are not being reused and created
everytime the API is called, But these queues were not being
destroyed during hipStreamDestroy causing memory leak.
Change-Id: Ibfbe019bbd73604e98eca80461efe53fa64bb701
[ROCm/clr commit: 191869b252]
1.Move global amd::monitor listenerLock before global
class runtime_tear_down as it will be referenced in
~RuntimeTearDown() after main(). It should be freed
later than runtime_tear_down.
2.Update Device::~Device() to SVM free coopHostcallBuffer_
before context_ is released and freed.
Change-Id: I1d21378ff463477d3238d71e5e2a1a7d6b9147ad
[ROCm/clr commit: 544c45364f]
If the graph has kernels that does device side allocation, during packet capture, heap is
allocated because heap pointer has to be added to the AQL packet, and initialized during
graph launch.
Handle race with wait when 2 kernels with device heap are enqueued on multiple streams.
Change-Id: I45933b77fcaf7bc8fdf1bc906462e32b5d8d3688
[ROCm/clr commit: 57156c524d]
- Update the intra socket weight for partitions within single socket as
it is changed to 13 by the driver.
- Use the PCIe function to distinguish the partitions of the same device
such as TPX mode in gfx942.
Change-Id: I8e64023d44e37c2dbb105cbb343441a48021ba7b
[ROCm/clr commit: 1815fc808d]
These are missed for gfx1150/1.
Change-Id: I03d997e451d15a01a961e6597f805f634e5c3ae7
Signed-off-by: Lang Yu <lang.yu@amd.com>
[ROCm/clr commit: a0127c9eea]
* When no GPUs are available, hsa_init fails with HSA_STATUS_ERROR_OUT_OF_RESOURCES, and device and runtime initialization fails. In order for NoGpu tests to pass, true needs to be returned which will cause HIP_INIT_API to return proper error hipErrorNoDevice instead of hipErrorInvalidDevice.
Change-Id: I982d4416c92ed1b36893354d8b10d73df34f2478
[ROCm/clr commit: fdaa7141af]
- UUID is Ascii string with a maximum of 21 chars which uniquely identifies a GPU
- Convert set UUID in HIP_VISIBLE_DEVICES to device index internally
- Then use existing device index logic for HIP_VISIBLE_DEVICES
Change-Id: I8cab4fe42459f8209b97f909300789e6e687b9ac
[ROCm/clr commit: 52db98edd9]
If we are using the mask returned by getLastUsedSdmaEngine() then we
need to apply the SDMA Read/Write mask to it before using with HSA
copy_on_engine API.
Change-Id: I6e5dc6c187eeb3c61ee159e9d2a0fa7b4737c06e
[ROCm/clr commit: 3f0bcf7834]
- Print SWq for AQL packets, this helps correlating a stream to the HWq
mapped
Change-Id: I610430c0872a1abc6636027c00163ec46983cd65
[ROCm/clr commit: 984c86f407]
Display queue base pointer in the log. This can be co-related with AQL
packets
Change-Id: I544f9b6db6ae01c85e57e4b3f0b3fffefcd7c2ed
[ROCm/clr commit: 0567c3b720]
kjayapra-amd
German Andryeyev
taosang2
Evgenii Averin
Saleel Kudchadker
Satyanvesh Dittakavi
Konstantin Zhuravlyov
Anusha GodavarthySurya
Maneesh Gupta
Rahul Manocha
Julia Jiang
Ioannis Assiouras
Lang Yu
Alex Xie
Ajay
Vladana Stojiljkovic
Jaydeep Patel
Rakesh Roy
Sourabh Betigeri