Also add flag: HIP_FORCE_SPIRV_CODEOBJECT to allow override to force use
SPIRV.
* use cache for already compiled code objects
* address review comments and use the two spirv isa names
Add initial implementation of virtual memory heap with
dynamic virtual memory mapping support for memory pools.
DEBUG_HIP_MEM_POOL_VMHEAP controls the new method.
Change-Id: I8dc5be2e0f34ab472f1800f43bb6243639a5e500
wait() is redesigned with two pathes:
fast path: Use spinlock to wait for notify signal. If the
signal hasn't been received for some loops, go to slow path.
slow path: Use condition_variable's wait().
Improve monitor wrapper for better performance.
Fix some bugs left from name removing patch.
Change-Id: I893a8353121a25d11e37c8e631caf31cc1fc1f24
- Added DEBUG_CLR_SKIP_RELEASE_SCOPE flag to force release scope to
SCOPE_NONE in AQL packet header
Change-Id: Ife02cddb9d5cd4749103ce585d3d5fe9024c6868
- 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
Currently amd::Monitor can work in FILO mode for the active waits
and cause a delay in wakeup of some threads. That may have a problem
with the current sysmem pool design.
Change-Id: I145081478d1e0b282d8838855c5718f09cf54b69
Windows alings fields to 8 bytes even with 32bit builds.
Add BUG_CLR_SYSMEM_POOL to cotnrol sysmempool.
Change-Id: I8622aabc9f7391ed7dd8583b252ce9eb41d62293
Applications may submit commands withoout waits
for GPU. That causes a growth of SW unreleased commands.
Make sure runtime flushes SW queue, if it grows over some
threshold, controlled by DEBUG_CLR_MAX_BATCH_SIZE.
Change-Id: Ia4d85c24210ef91c394f638ab6b53b14323a0396
- Don't generate callbacks for HIP events
- Don't process profiling info in the callback for HIP events
- Wait for CPU status update of the submitted commands
every 50 calls. That will allow to drain the commands and
destroy HSA signals.
Change-Id: Ib601a350e7e7c2b6c6209a172385389baccf73a9
Use env var DEBUG_CLR_KERNARG_HDP_FLUSH_WA=1 to fall back to HDP flush
workaround. The default is 0
Change-Id: I7bdb9be61da60c30d15ac9991b7cd27351e1831c
This change adds a new HIP API `hipExtHostAlloc` which preserves
the functionality of `hipHostMalloc`.
Change-Id: I13504c6fc13465ddd7aed329795bb4f2fef1baff
- Added the optimized multi stream path in graph execution. It uses a fixed number of async streams in the execution
- Optimize the launch latency, where commands
creation and execution is done at the same time
- Optimize the scheduling to use less barriers and waiting signals if
the same queue can be detected
- The new path is controlled by DEBUG_HIP_FORCE_GRAPH_QUEUES
environment variable, where 0 will use the original path and any other
value will force the number of asynchronous queues for execution
- DEBUG_HIP_FORCE_ASYNC_QUEUE can force single queue async
execution in graphs(applicable for Navi families only)
Change-Id: I7eb40bc15c45f508d6911868a6f6d4c3598d380e
Implement std::mutex based monitor that has much
simpler logics than legacy monitor.
Create DEBUG_CLR_USE_STDMUTEX_IN_AMD_MONITOR to
toggle them.
If DEBUG_CLR_USE_STDMUTEX_IN_AMD_MONITOR = false
(by default), use legacy monitor;
If DEBUG_CLR_USE_STDMUTEX_IN_AMD_MONITOR = true,
use std::mutex based monitor.
If no perf drop of stl::mutex based monitor,
legacy one will be removed later.
Change-Id: I1d21368ff462477d3238d71e4e2a1a7d6b9167ad
Support new comgr unbundling action api to extract codebjects
in compressed and uncompressed modes.
Create HIP_ALWAYS_USE_NEW_COMGR_UNBUNDLING_ACTION ENV to
toggle new path and old path.
If HIP_ALWAYS_USE_NEW_COMGR_UNBUNDLING_ACTION=false(default),
uncompressed codeobject will go old path for better perf,
compressed codeobject will go new path.
If HIP_ALWAYS_USE_NEW_COMGR_UNBUNDLING_ACTION=true,
both uncompressed and compressed codeobjects will go new
path.
Add comgr wrapper for
amd_comgr_action_info_set_bundle_entry_ids()
Change-Id: I79952f132fe21249296685ee12cae05a4f9aec32
This reverts commit e53df57ffe.
Reason for revert: <INSERT REASONING HERE>
New comgr unbundling action leads to perf drop for uncompressed code object. Will create a new patch to use old path for uncompressed , new unbundling api for compressed .
Change-Id: I41ef53b71fc9f7aaa8cf231d4d70945f1117db52
1.Make runtime use comgr to unbundle code objects
2.Support compressed/uncompressed modes
3.Remove HIP_USE_RUNTIME_UNBUNDLER and
HIPRTC_USE_RUNTIME_UNBUNDLER to simplify logics
4.Add comgr wrapper for
amd_comgr_action_info_set_bundle_entry_ids()
Change-Id: Ic41b1ad1b64cca1e31986437983a5146d52a7329
Refactor PrintfDbg::outputArgument() to remove potential risk.
Fix half vector printf issue on all devices.
Fix FEAT-56794 as well.
Change-Id: Iae39359d2128588def2e43d77fe58e868b8e71ff
- Create a vector to allow multiple TS to be stored in Command.
- This would mean we dont wait for entire batch in Accumulate command
to finish when we exhaust signals.
- Reduce the number of signals created at init to 64. This min value
may still need to be tuned but the KFD allows max of 4094 interrupt
signals per device.
- Store kernel names whenever they are available and not just when
profiling. If we dynamically enable profiling like for Torch, a crash
can happen if hipGraphInstantiate wasnt included in Torch profile scope
beacuse we previously entered kernel names only when profiler is
attached.
Change-Id: I34e7881a25bbc763f82fdeb3408a8ea58e1ec006
OpenCL printf handling did not process vector of half precision floats properly
(mainly because compiler packs 2 halfs into a dword and runtime failed to extract the
individual parts).
This patch fixes the issue.
Change-Id: Ia1f15ccfb5db52b71c43cfd588dd38f551ee5277
- Enable Device kernel args for MI300* for now.
- Fix a perf issue which impacts graph instantiate when dev kernel args
are enabled.
Change-Id: I962e58fd9d8dd1a8db95e601cb03a8e9c7bac97f
Chaudhary, Jatin Jaikishan
Andryeyev, German
Tao Sang
Branislav Brzak
Saleel Kudchadker
Pengda Xie
Ioannis Assiouras
Satyanvesh Dittakavi
pghafari
victzhan
Ajay
kjayapra-amd
Alex Xie
Vikram
Rahul Garg
Todd tiantuo Li