* add mops to graph, refactor IMAGE
* no reshape pushing
* add todo
* fix openpilot model alt
* push reshapes reduces kernels in new op
* IMAGE=2 is a first class citizen now
* Revert "disable flaky triton test"
This reverts commit 1e15fdaee7.
* Update test.yml
* check if has shared for matvec
* disable ocelot cache for triton
* disable ocelot cache
* disable ocelot cache
* pass shared to triton uops tests
* temporary debugs for CI crash
* Revert "temporary debugs for CI crash"
This reverts commit fee3ea96c8.
* Revert "triton isn't tested, and allows this refactor (#2007)"
This reverts commit dea8bb0938.
* add runtime_args to every renderer, move triton local size override to runtime args
* Add binary to args, correct type returned
* update to new loops
* Update test.yml
* some cleanup
* move continue back
* more more more
* added to CI
* try
* try intentionally break some tests
* wtf
* del True for test
* yay tests broke, now pls no break
* try AGAIN
* gahy
* lol
* try
* move over constant
* moved over MORE
* move shrink over
* trailing lines
* try CUDA CI
* try again
* boom
* oops
* improved comments
* try: disable some flags and disable CUDA
* try breaking tests
* traceback has too much info so add --tb=no
* revert forced CI failure
* add comments and del unused imports
* oooooooo using regular debug try enable tb
* intentionally break tests
* added tb back. Maybe not too verbose
* strip whitespcae
* missed something
* Shape op int32 -> int64
* oops missed something
* add some types
* get rid of crazy 1 liners in pad op
* actually test Split this time LOL
* strip that whitespace
* limit metal buffers
* look at the base, not the srcs
* Revert "Revert "openpilot kernel fix from 209 to 207 (#2006)" (#2065)"
This reverts commit 924ecc4d6a.
* add a test for that
* create cache for q learning
* make linter happy
* global beam
* where it belongs
* bugfix
* ditch the kopt, use the beam
* faster lin and DEBUG=2 okay
* remove kopt, move search to features
* Fix openpilot kernel from 209 to 206
1. Use push_movement_ops conditions in _movement_op. Don't push
PAD or check if the ops are safe to be pushed with PAD
2. Don't push if all the op.buffers are realized
* change ALLOWED_KERNEL_COUNT to 206 for openpilot
* don't push through sourceless buffers
* change the tests to adjust kernel counts for new behaviour
* restore pushing of movement ops through childless buffer
* don't push EXPAND, causes OOM
* allow push of intermediate movement ops
* adding new test behaviour
* modifying external_test_opt for new behaviour
* restore old tests
* Reenable push of EXPAND and introduce new tests
I was wrong intially thinking EXPAND can cause OOM and hence I had
disabled it. Since it is 0 stride and doesn't allocate memory its cool
* Don't push EXPAND above LoadOps LB. This is causing OOM
* Push should be decided on movement root of bufs
To check if ast.op.buffers is sourceless/ realized go the the movement
root and then decide if pushing should be done or not
* refactor for readability
* use .base instead
* don't push expand, bad memory/compute consumption
* restrict push of reshape, seeing improvement
* push reshape if unary without further check
* disable PAD solves convnext kernel count increase
* reenable test_cache_binaryop_transpose
* small nit
* lazy cleanups
* ast functions take in LazyOps
* op instead of self.op
* _base for mops
* fix contiguous
* start schedule
* test_schedule
* fix openpilot
* more tests
* bugfix and test skip
* work
* make sure things get freed
* fix zerosized tensors
* fix failing test
* fix ceil and friends
* fix openpilot
* disable training
* disable test collectives
* Move ops_triton to runtime and remove errors from deprecated code
* Remove deprecated AST Kernel
* Remove deprecated buffer
* Add TritonProgram
* Triton Buffer
* Use RawCUDABuffer
* triton_compile
* Added new parameter
* pass _buf to program
* remove deprecated include
* Added triton tests
* Deprecated includes removed
* remove double print
* Disable float4 support
* Disable float4 support
* variable load fix
* Track local size
* Add pycuda to triton dependencies
* Merge test.yml
* install cuda packages for testing
* merge double package install
* remove emulated from triton tests
* upscale local index to power of 2 and add masking
* cuda envs
* Add TernaryOps
* ConstOp loading
* proper function name
* remove deprecated variables
* get global program from name
* const ops match local shape
* Enable test_nn
* remove deprecated import
* fix linter error
* Add wait logic
* Add local size override
* accumulate local shapes instead of using max shape
* Merge triton tests into global tests
* fix envs in testing
* Old testing routine
* split file into renderer and program
* remove print and starting whitespace
* pretty ptx print on debug 5
* linter errors
* ignore triton saturation tests
* ignore test example
* remove pytorch cpu extra index
* Add triton to existing testing routine
* use triton tests
* disable cuda backend in triton tests
* use cudacpu in tests
* print used device
* Print device default
* Remove print
* ensure we are running triton backend
* update variable signatures
* update dtypes for load
* infinity render fixed
* limit global size
* negative infinity now properly rendered
* split chain with parentheses for and node
* Add option to disable shared memory, disable for triton
* missing import
* Properly index and mask conditional load
* use mask only if not loading a block pointer
* nan support
* fix symbolic tests to include chain split
* proper masking for stores
* Implemented bool dtype
* Add mod
* fix loads for variables with valid range
* merge triton with cuda runtime
* merge from master
* run triton tests with cuda
* Correct target when running from triton
* conftest with triton compiler config
* use triton nightly
* verbose tests for triton
* capture stdout
* fix function depth when exiting multiple loops
* add render valid function for readabilty
* fix mask for local loops
* add _arg_int32 datatype
* fix dims for conditional loads
* enable non float stores
* correct variable dtypes
* fix type for arg_int32
* remove junk
* Added get max function for range based var.max
* remove deprecated code
* Fix triton ptxas path
* Fix testing for CI
* clamp local size by max local size instead of always running max
* Disable matmul test in triton cpu
* rerun tests
* Disable broken test in triton cpu
* whitespace removed
* rerun tests again
* Disable TestSymbolicOps for triton
* update to new uops
* linter fix
* ignore test/extra
* linting fix
* Update tinygrad/renderer/triton.py
Co-authored-by: Gijs Koning <gijs-koning@live.nl>
* remove deprecated line
* quotes type fix
* linter
* Remove unnecesary lines
* UnaryOps.NEG
* dont define constants
* Linting fix
* Disable tests that are broken in ocelot
* remove trailing whitespace
* reduce line count
* linting fix
* update to new uast
* New looping style
* Update to new uast
* make AST runner work with triton
* linting fix
* set renderer var for testing
* disable local for ocelot
* reenable all tests for ocelot
* Pass shared to cuda
* Don't group if the backend doesn't support shared mem
* use working gpuocelot branch
* enable all tests
* enable local for ocelot
* cleanup
* Update test.yml
* update cache key
* reenable test symbolic and extra
* Update test.yml
* Revert "Update test.yml" (rerun tests)
This reverts commit 98c0630ee5.
* Revert "fix symbolic tests to include chain split"
This reverts commit 22a9a4c9cd.
* Revert "split chain with parentheses for and node"
This reverts commit 7499a7004e.
* use global size from linearizer
* rename newvar to dtype to match other renderers
* join program start lines
* simplify code that adds axis to local dims
* assign r[u] in ssa
* We no longer need to replace target in src
* we no longer need to cast indices to int by hand
* Update triton.py(rerun tests)
* Update triton.py(rerun tests)
* Update triton.py(rerun tests)
---------
Co-authored-by: Gijs Koning <gijs-koning@live.nl>
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* valid hacks
* valid hacks
* valid hacks
* new method
* new method
* handtune
* is gate load breaking?
* lint
ruff
less junk
new approach?
maybe this?
* Make it more clear
* Make it more clear
* Will deal with the linter later
* hack for linter
* subs the idx but dont touch the valid
* Updated the mod rules
* lint hack
* I believe bug fix lets see
* Mod Node left
* revert
* Maybe this wont break?
* revert
* implemented "handtuned garbage"
* revert and use VALIDHACKS
* Lets see the CI
* still broken?
* currently its jungle
* maybe this jungle ?
* This works for everything somehow
* Added test for symbolic
* lint
* final touch
* This still works
* lint
* midway clean
* less garbage
* lint
* final form
* Slow but working way
* lint and other stuff
* lint
* mypy
* Make sure CI test Openpilot valid checks
* test if CI break
* Convert back
* refactor
* refactor
* Managed to reduce openpilot time from 30 secs to 5 secs
* Refactor
* Substitute a node with variable
* flake8
* Comment and refactor
* More comprehensive mod
* refactor
* bug fix
* More shave off
* remove not sure part
* Symbolic Shape JIT
update tests
2 variables symbolic ops, adding more tests
test passing
cleanup
* more test cases
* single flag
* review update
* jit attention one piece
* realize
* symbolic_jit test for cuda
* old artifact
* works with cuda gpu but failed ci
* CUDACPU
* move assembly, assembly_ptx
* successful but broken rendering of ptx asm
* clear ins before render asm
* slightly less broken :')
* we needed thread syncs
* fix float16 loading, rounding modifiers and other casting stuff, passing casts_from_half
* Fix runtime_args for gpuocelot
* our casts were flipped on both ends
* more casting
* add ternary where op
* dealing with storing/loading bool
* add test for casting to bool from negative
* Fix args.valid on ConstOp
* add to CI, TODO: fix runtime_args for test_uops
* fix placement of runtime_args to work with lazy.Device
* undo ci changes so I can push
* fix lints
* start cleanup and fix things we broke fixing lints
* add checks for PTX specifc asm instructions
* revert added test -- doesn't pass on llvm
* skip tests for underflow,overflow
* another fix for how we're setting runtime args
* Less broken cleanup
* add to CI
* add more env variables for ci test
* fix ci to install pycuda for ptx
* ci: copy cuda test command
* cleanup
* assert to make sure we're actually running ptx in ci
* remove test assert
* move is_ptx arg
* move assembly, assembly_ptx back to extras
* fix imports
* initial merge fixes
* clear registers, fix UOps.LOAD with invalid value
* draft merge fixes
* remove prints
* quick lint and merge fixes
* cleanup
* remove PTXProgram wrapper
* final cleanup
* temp change for ci rerun
* ci rerun
* rollback ISA version
* testing new memops
* better debugging
* testing padded conv
* branching with load
* refactoring a bit
* first try
* fixing bugs
* fixing some
* eq
* eq2
* do not use x's
* working
* fixing imm
* getting things working
* refactor
* pow not working
* working except one
* refactor: one store mem
* refactor: global load
* refactor: imm
* refactor: cleaning
* fixing big offsets
* refactor with ci
* try ci
* typo
* another typo
* ubuntu default
* forgot git
* do i need git?
* missing packages
* adding python-dev
* with cache?
* buildx action
* buildx name issue?
* maybe now?
* python3
* newline warning
* maybe now
* i actually need this
* ci should work now
* improved caching
* fixing cache
* maybe now it will cache
* this
* testing cache
* trying again
* load
* missing platform
* caching gha
* testing cache
* full testing
* typo
* now?
* why
* adding checkout back
* bad formatting
* fixing convention issues
* supporting python
* adding CI flag
* testing all
* better comments
* adding debugging
* takes 12x longer
* does it output progress now?
* ignore models for speed
* fixing merge
* excluding conv_transpose2d
* only 2 test cuz is to slow
* another approach
* let's see
* faster duh
* my bad
* T_T
* typo
* sup
* with output?
* comment test
* comment test
* comment test
* :?
* no comment
* with cache
* back to normal
* testing that ci works
* back to passing
* trying again
* does it create another entry
* does it create another entry?
* build local
* hey
* Revert "excluding conv_transpose2d"
This reverts commit cc7348de03.
* does it cache if done before?
* does it cache?
* done
* adding test ops
* bad formatting
* no need for this
* working static mem
* sum 1d
* add ndim
* better reg import
* fix stack
* back to np
* working except for softmax
* 5 failing
* no pogress
* remove keystone
* remove keystone
* testops passing
* cleanups
* more cleanup
* typo
* ci
* ci2
* cond import
* ci3
* ci4
* ci4
* ci5
* ci5
* ci6
* aligment
* test all
* correct test
* err read_unmapped
* passing test
* ignore for speed
* ignore for speed
* ci7
* cleanup
* remove docker
* fixing merge
* fixing bugs
* add skipload for const ops
* comments
* First merge to master: Renderer
* fix emulation
* passing all tests arm64
* cleaning
* fix handcoded binary
* cleaning
* fix errs
* fix runtime arg binary
* clean git diff
* fix and clean
* fixing metal test
* cleaning
* fix metal test
* ci ~8 min
* fix pylint and clang
* cache the files in ops_clang
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* feat: world
* feat: tests
* feat: no more backwards
* feat: recv into
* feat: whoops
* feat: test in ci
* feat: some debug logging
* feat: workflow naming
* feat: need to set pythonpath
* feat: just send to same device
* feat: allreduce
* feat: test
* feat: need contiguous
* feat: test in ci
* feat: exit with correct code
* feat: don't need that
* feat: opencl wait_for just doesn't work
* feat: synchronize on out
* feat: try?
* feat: try again?
* feat: add extra realizes
* feat: print
* feat: seed
* feat: tol
* feat: test ones and zeros
* feat: remove print
* feat: are you just flaky
* feat: seperate scatter and gather?
* feat: just try synchronizing
* feat: remove print again
* feat: bring back difference
* feat: no sync
* feat: revert that
* feat: back to wait_for
* fix: typo
* feat: world
* feat: tests
* feat: no more backwards
* feat: recv into
* feat: whoops
* feat: test in ci
* feat: some debug logging
* feat: workflow naming
* feat: need to set pythonpath
* feat: just send to same device
