* try
* pass
* clean up
* done
* I'm becoming dumber
* clean up 2
* remove useless max
* useless but make computer brrr [run_process_replay]
* try process replay
* try again
* 1 less line, just use pad2d
* qcom: driver init
* autogen stubs for msm_kgsl also fixup ioctls to show numbers instead of _IOW macros
* autogen: add adreno commands and registers
* ops_qcom: QcomAllocator + signals
* fix EDEADLK in hwqueue, init timestamps, use opencl compiler for qcom
* qcom: we do not really need all these constants input/output is enough
* qcom: perfctr for CS (do not really need all the rest)
* qcom: HALFREGFOOTPRINT and FULLREGFOOTPRINT are set to be around max
* qcom: explicitly set instruction len based on the shader size
* ops_qcom: Program init
extracts shader from open cl binary
sets input/output buffers
allocates stack
sets cs mode
runs shader
* use data64_le from helpers
* ops_qcom: use fill_kernargs for filling i/o buffers
* ops_qcom: add QcomCopyQueue just for api & set kernargs_args_offset
* new signals & fix exec
* add QCOM to the list of supported devices
* correct QcomComputeQueue._wait using CP_WAIT_REG_MEM
* fix exec, synchronize before copyout
* correct setting num_units for ST_SHADER
* fix gpu hangs on sigs with CP_MEM_WRITE, it is uncached mem anyway
* extract offsets to kernel arguments from opencl binary
* extract constants values and offsets from opencl binary
* handle KGSL_MEMFLAGS_USE_CPU_MAP correctly
* align kernel name to 4 bytes when skipping kernel opencl struct
* skip to consts directly using an offset from opencl binary header
* fix alloc
* get halfreg and fullreg from opencl bin
* set unmultipled global sizes as kernel group in HLSQ_CS_NDRANGE
* parse prg offset from open cl binary
* save loc with HLSQ_CS_CNTL. set this with HLSQ_CONTROL_2_REG
* support for vals in _fill_kernargs
* support 16-bit constants
* use KGSL_CONTEXT_NO_FAULT_TOLERANCE for contexts
this helps to not fall down when executing big kernels
/* Don't time out if the context has disabled it */
if (drawobj->context->flags & KGSL_CONTEXT_NO_FAULT_TOLERANCE)
return;
* minor changes of _exec
* QCOMRenderer
* disable HCQGraph for demo. TOOD: support HCQ update api
* support HCQ
- remove copy queue
- add updates
- add strides for buffs and vars for QCOM
* bufs_stride
* clean ups
* linter
* call super().__init__(value) in QcomSignal
* disable=unused-import
* mypy
* type ignore when queue is on the device
* fix
* query gpu_id.
Will be useful for selecting commands e.g. CP_EVENT_WRITE vs
CP_EVENT_WRITE7
* working timestamps
* free context after device is done
* move gpu stack to the device
* reserve some space with lib_gpu for gpu to write to
this fixes test_interpolate_bilinear
* exclude tests that fails with GPU=1 on qualcomm
* lint
* unmap mem in _gpu_free
* ctxt priority and preemtion policy
* remove old qcom
* pass size to self.device.allocator.free
* skip tests only on qcom
* use kgsl and adreno defines instead of numeric vals
* use allocator for allocating lib_gpu
* update to QcomArgsState from master
* intermediate commit while conquering images
* enable image tests on qcom
* fix shader disasm size, dump textures stuff
* working images
* allow signals to be 0
* set branchstack from OpenCL binary
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* set shared memory size from OpenCL binary
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* update images in QcomArgsState & less loc for images
* set stack sizes from OpenCL binary
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* stack allocation based on OpenCL binary
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* better autogen for kgsl and adreno. no more bitshifts
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* cleanup commit for parse cl lib
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* dont forget actual generated files
* refactor + less loc
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* device.py back
* lint
* ruff
* timestamp divisor
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* fix tex fmt & round global size
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* dtypes
* 19.2MHz
* -1 loc in _update_exec
* remove noqa
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
Co-authored-by: nimlgen <138685161+nimlgen@users.noreply.github.com>
* most of the work from the uops2 branch
* schedule
* realize
* kernel
* lowerer
* search
* green
* merge uops with ops
* Revert "merge uops with ops"
This reverts commit 1408a59f12.
* fix benchmark
* remove extra dedup
* fixed xmx demo
* i think i'm invoking the DPAS but it's slow
* compiler build arg to stop register spilling, indicated where to fix flop counter
* don't mind this
* do NOT mind me
* do not mind me
* do not view
* i will add bf16 later
* in process of figuring out tc fields
* we figured out the fields!!!
* added check for cl device vendor, added seperate IntelRenderer
* remove tc thread_local_aliases
* cleaning debris before draft pr
* edits for linter
* deduping and checking device extensions
* i will find more line reductions in other places
* before merge upstream
* double grf size in compiler to fix register spilling (bandaid), device checking changes
* tc python emulation
* fixed emulation
* tests for emulated intel tensor core
* TC=0, 1 working on upstream, fixed perf
* test
* debris
* check for specialized cl device when we canonicalize device
* bf16 support, tc=3 test added
* address tests
* revert half2 loads on intel tc, cleanup
* linter
* fold_expanded revert
* lint, whitespace fix
* cuda bf16 (only one with bf16) is skipped in test tensor cores, so i will skip for intel bf16 too
* make line shorter, no need for noqa E501
* removed device intel
* fix python emulation
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
- remove unused code
- add CP_REG_TO_MEM opcode
- fixed parse_cmd_buf for more than 1 command object by correcting
an offset
- fixed memory mappings for cases when memory was allocated with
KGSL_MEMFLAGS_USE_CPU_MAP.
KGSL_MEMFLAGS_USE_CPU_MAP: If set on call and return, the returned GPU
address will be 0. Calling mmap() will set the GPU address.
So there are no IOCTL_KGSL_GPUOBJ_INFO ioctls for that type of memory
and it resulted to crash right after get_mem.
