* fix tqdm unit_scale and support hours in time
previously it only supports MM:SS.
more chars to unitscales, strip trailing "." and " " in formatting, and more tests
* simpler
per doc `https://tqdm.github.io/docs/tqdm/`, user does not need to put `: ` in desc, and `: ` is automatically removed after desc if the latter is empty.
updated test cases and added a test for set_description
* exp uring
* fixes and old version
* nv
* cleaner
* cmp vs aio
* fix
* no lib
* fix nv
* linter
* disk_speed_test now runs default
* fixes
* uring -> io_uring
* linter happy
* get_temp_buf comment added
* tiny nits
* put wait back
* test runs everywhere
* remove consts
* remove mmap consts
* do not require iouring to run test, they are generic
* Create UnaryOps.RECIP and BinaryOps.IDIV and changing uses of BinaryOps.DIV
* Delete unused import
* Add cstyle renderer
* Fix formatting text
* Fix test error due to bad implementation of renderer
* Add PTX support
* Add RECIP to LLVMIR
* Remove BinaryOps.DIV from symbolic test
* Change some test and fix C floor division
* Change references to DIV for the RECIP or IDIV
* Add mimic idiv for symbolic test
* Restore floor
* Mimic idiv
* cast to int
* Fix some test and renderer
* Remove DIV for render nodes
* Resolve issue with div
* Add TestRenderer
* Fix test
* fix error
* Fix PAD test
* Fix div implementation
* Remove DIV
* Add upcast to rshift, due to use of MUL and RECIP on DIV
* Fix linter
* Remove complete BinaryOps.DIV
* Fix lint
* Fix some test
* Revert mul modification
* Fix tests
* Fix CLANG for uops
* Revert IDIV function
* Minor fix
* modify pattern matching rule to support nan
* Fix UNSAFE_PADS_OPS to add UnaryOps.RECIP
* Remove const folding for IDIV and fix PTX
* Complete remove IDIV from extra
* Remove test_div from TestFloatUOps due to test on recip
* Fix linearizer
* fix
* Fix test_22
* Fix llvm
* Apply trunc function for llvmlit
* use floor instead of trunc
* Use correct type
* Generate new fuzz db
* Fix rshift, do not cast to float to support idiv
* Return upcast=false to rshift
* Add to unsafepad BinaryOps.IDIV
* Remove RECIP override for CUDA
* add atol / rtol for the test
* Remove cast to int on IDIV
* Regenerate sops
* delete sops.gz
* regenerate
* regenerate
* regenerate
* Reduce margins
* pass atol and rtol as parametersg for _test_metrics
* regenerated dataset
* Regenerate
* Remove duplicated
* Revert changes on extra
* Remove changes extra and NOQA for test
* Remove E501
* Remove and change line
* Remove E501
* Fix atan2
* Revert import and E501
* Remove E501
* Add hrcp to halp ops
* Remove 1 of hrcp
* Remove last DIV and add type check on uops for IDIV
* Fix new tests
* Fix tests and custom function
* Regenerate dataset
* Regenerate dataset
* Revert dataset
* Change generate dataset script
* Remove line
* Change IDIV, type checker validate if x,y and z are int
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* don't use uops.add while constructing
* rebase
* bugfixes
* have to use BFS
* prove it's late
* simpler uop symbolic test (why we did this)
* use dict, not set
* start work
* more tests passing
* more tests passing
* more
* 34 failures
* expect the failures
* remove broken rule
* render is fine in just the test
* simplify and put in test
cannot really catch a spec change error without testing the new spec explicitly, but we don't intended to change the lazy spec lightly
another possible way to catch reduce flopcounter shape would be type checking InterpretedFlopCounter and throw error if `in` results in `Never`
* subbuffer support
* diskbuffer offset
* cuda subbuffer works
* use subbuffer
* more subbuffer tests
* consecutive
* cast
* consec
* offset
* view is a better name
* offset is in nbytes
* fix view + memory planner
* delete unused DiskRunner
* reverse order
* no subbuffers on unrealized consts
* only enabled for disk
* don't reverse memory
* view supported devices
* pickle buffer view
* ring jit
* support extra view inputs in jit
* fix JIT=2 issue
* test copy jit
* p2p isn't an option anymore
* fix dep tracking issue
* fix mypy
* fix pickle
* from_nv is contents now
* handle reshape with remainder in _reshape_mask
* remove trailing whitespce
* use helper_test_op to generate tensors from shapes
* test in shapetracket too
* remove whitespace
* revert property name in other class tests
* Shape changing bitcast
* only support it on disk
* basic test
* more tests
* RuntimeError instead of assert
* create unique temp files
* move tests that use disk to test_disk_tensor
* linter
* remove assert on error messages
* that's RuntimeError now
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* Factoring bug
* Another one in case
* It works now so change tests back
* large arange cumsum optimization
* More cleanup
* symbolic no factor div test
* name change
* Rename test
---------
Co-authored-by: Patrick Tsai <patosai@users.noreply.github.com>
* feat: initial xor
* feat: initial threefly
* feat: remove custom random
* fix: really need to install precommit
* feat: lmao forgot that this is rotate not a shift
* clean: put that there
* feat: numpy xor
* feat: quick test for xor
* feat: llvm xor
* feat: slightly working xor in torch
* feat: rand works in jit
* clean: save a line
* feat: match jax
* feat: maybe test against jax
* feat: requires_grad
* fix: fix test_symbolic_ops
* feat: lower alpha
* feat: just pad
* fix: maybe fix training tests?
* fix: fix some llvm stuff
* feat: cursed realize on the way out
* feat: testing jax
* fix: why is the jax install process not simple
* fix: maybe passing test
* fix: symbolic workarounds
* clean: still need that precommit
* fix: aaaa
* fix: more test fixes
* fix: quick fix for wgsl
* feat: need to set requires_grad on the final tensor
* feat: one more tensor
* feat: don't take forever
* feat: seeing y ci is brok
* feat: can't allocate 64GiB lmao
* fix: fix this
* feat: hope this doesn't break smth before i go to bed
* feat: don't destroy ram
* feat: int
* feat: remove jax
* feat: properish workaround?
* feat: skip slow webgpu tests
* feat: no longer fails
* feat: use dtypes
* feat: real number
* fix: torch
* fix: don't test against reference for torch
* feat: to device
* feat: fix advanced indexing
* feat: correct casting
* feat: even rng_counter
* feat: match master
* feat: this was actually bad
* fix: maybe?
* feat: store
* feat: remove realizes
* feat: somehow this is important
* feat: somehow this is also important
* feat: save a line
* fix: don't need that anymore
* feat: restore this
* fix: linter
* feat: remove realizes
* fix: realized is in base now
* fix: add back cast
* fix: bump deadline
* fix: bump deadline
* fix: bump deadline
* fix: bump deadline
* fix: bump deadline
* fix: :(
* fix: :(
* fix: not being dumb
* feat: try changing less tests
* feat: shouldn't have to change that
* feat: contiguous bumps it by one
* fix: hmm
* fix: numpy memory moment
* fix: cl_khr_fp16
* fix: torch has different tensor count
* fix: missing contiguous
* hmm: hmm
* fix: some fixes
* fix: typing
* feat: dont do that
* feat: typing fixes
* feat: why is this realize required?
* feat: ngl kinda odd typing
* feat: oh
* feat: remove realizes
* feat: why is this realize required?
* fix: hacky patch for cudacpu
* fix: without this realize pytest crashes?????
* fix: shorter line
* fix: cudacpu fixes
* fix: cudacpu fixes
* feat: real buffer
* feat: don't search when searching lmao
* fix: can't use contiguous things
* fix: no more 100GB arrays
* fix: revert
* fix: skip 7 and 10
* feat: working ish beam
* feat: minimize changes
* feat: seed 0 stable diffusion example changed
* fix: different on ci
* fix: no beam
* feat: make threefry optional
* fix: check value
* fix: unused import
* feat: threefry default
* fix: 5d
* feat: allow non upcast div
* fix: 5d better
* fix: 5d better
* fix: save all dtype
* feat: proper error
* feat: lazyop key
* fix: check float
* feat: try removing this realize now
* feat: disable threefry for uops hip tensor cores
* feat: don't need that
* feat: only check upcast
* fix: disable threefry for some metal tests
* feat: disable for metal tensor uops as well
* feat: disable for most uops
* fix: disable threefry for new uops tests
* feat: multitensor
* fix: typing
* feat: threefry default off
* feat: skip threefry half rand
* feat: restore old
* fix: bad git
* clean: ruff
* feat: bfloat16 fix
* fix: :|
* feat: restore old
---------
Co-authored-by: chenyu <chenyu@fastmail.com>
* feat: initial xor
* feat: initial threefly
* feat: remove custom random
* fix: really need to install precommit
* feat: lmao forgot that this is rotate not a shift
* clean: put that there
* feat: numpy xor
* feat: quick test for xor
* feat: llvm xor
* feat: slightly working xor in torch
* feat: rand works in jit
* clean: save a line
* feat: match jax
* feat: maybe test against jax
* feat: requires_grad
* fix: fix test_symbolic_ops
* feat: lower alpha
* feat: just pad
* fix: maybe fix training tests?
* fix: fix some llvm stuff
* feat: cursed realize on the way out
* feat: testing jax
* fix: why is the jax install process not simple
* fix: maybe passing test
* fix: symbolic workarounds
* clean: still need that precommit
* fix: aaaa
* fix: more test fixes
* fix: quick fix for wgsl
* feat: need to set requires_grad on the final tensor
* feat: one more tensor
* feat: don't take forever
* feat: seeing y ci is brok
* feat: can't allocate 64GiB lmao
* fix: fix this
* feat: hope this doesn't break smth before i go to bed
* feat: don't destroy ram
* feat: int
* feat: remove jax
* feat: properish workaround?
* feat: skip slow webgpu tests
* feat: no longer fails
* feat: use dtypes
* feat: real number
* fix: torch
* fix: don't test against reference for torch
* feat: to device
* feat: fix advanced indexing
* feat: correct casting
* feat: even rng_counter
* feat: match master
* feat: this was actually bad
* fix: maybe?
* feat: store
* feat: remove realizes
* feat: somehow this is important
* feat: somehow this is also important
* feat: save a line
* fix: don't need that anymore
* feat: restore this
* fix: linter
* feat: remove realizes
* fix: realized is in base now
* fix: add back cast
* fix: bump deadline
* fix: bump deadline
* fix: bump deadline
* fix: bump deadline
* fix: bump deadline
* fix: :(
* fix: :(
* fix: not being dumb
* feat: try changing less tests
* feat: shouldn't have to change that
* feat: contiguous bumps it by one
* fix: hmm
* fix: numpy memory moment
* fix: cl_khr_fp16
* fix: torch has different tensor count
* fix: missing contiguous
* hmm: hmm
* fix: some fixes
* fix: typing
* feat: dont do that
* feat: typing fixes
* feat: why is this realize required?
* feat: ngl kinda odd typing
* feat: oh
* feat: remove realizes
* feat: why is this realize required?
* fix: hacky patch for cudacpu
* fix: without this realize pytest crashes?????
* fix: shorter line
* fix: cudacpu fixes
* fix: cudacpu fixes
* feat: real buffer
* feat: don't search when searching lmao
* fix: can't use contiguous things
* fix: no more 100GB arrays
* fix: revert
* fix: skip 7 and 10
* feat: working ish beam
* feat: minimize changes
* feat: seed 0 stable diffusion example changed
* fix: different on ci
* fix: no beam
* feat: make threefry optional
* fix: check value
* fix: unused import
* feat: threefry default
* fix: 5d
* feat: allow non upcast div
* fix: 5d better
* fix: 5d better
* fix: save all dtype
* feat: proper error
* feat: lazyop key
* fix: check float
* feat: try removing this realize now
* feat: disable threefry for uops hip tensor cores
* feat: don't need that
* feat: only check upcast
* fix: disable threefry for some metal tests
* feat: disable for metal tensor uops as well
* feat: disable for most uops
* fix: disable threefry for new uops tests
* feat: multitensor
* fix: typing
* feat: threefry default off
* feat: skip threefry half rand
* feat: restore old
* fix: bad git
* clean: ruff
* feat: bfloat16 fix
* fix: :|
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* explicitly create_lt_node when used in shapetracker
leave regular __lt__ and cmps for symbolic shape cmp
* hmm it fixed that?
* LtNode.substitute uses create_lt_node
Some devices create cache table names with non-alphanumerical characters, e.g. "compile_hip_gfx1010:xnack-_12".
This commit escapes the table name in single quotes s.t. sqlite works (see https://github.com/tinygrad/tinygrad/issues/3538).
* fix LtNode simplification when lhs and rhs contain same variables
`(Variable("a", 1, 5) < Variable("a", 1, 5))` should eval to `NumNode(0)`
* fix with less perf impact
it's recommended to use __getnewargs__ to update the args of classes that use __new__ when unpickling.
It's preferred because it does not change the __new__ behavior.
cast implicitly resets shapetracker and makes it contiguous (for disk tensor), which fails for Interpreted backend if inputs contain non-contiguous st.
* remove AndNode.__floordiv__
AndNode produces a Node that min/max is bounded by [0, 1] so `//` on top of that is almost always 0.
we don't really use that either
* keep the test
* lazy rewrite, try 2
* min fix tests
* pass contig test
* put broken pads back
* move that to realize
* no contig child fixes array packing
* so wrong
* now that's correct
* base children
* fix bind issues
* disable to_image_idx
* fix tests
* that failure shouldn't break other tests
* more fixes
* fix torch
* skip failing tests in CI
* 1e-7
* half is broken
* 1e-6 margin of error
* invert (broken)
* decent invert
* shapetracker invert works
* plus is meh, invert is good
* support invert mask
* a few more invert tests
* shapetracker math invert test
* the universe is flat as a 2D tensor
* try this
* TESTS
* less lines in test
* don't change all_int since other places use it
* add tests and del noqa by making non-aesthetic spacing LOOOOOL
* some reordering
* fixed empty list and add tests
* more tests
* add list bool tensors
* clearer with least lines added
* added bool
* oops
* more tests
* improved tests
* oops
* add bf16 test support
this model takes me almost a minute to download though:
https://huggingface.co/TinyPixel/Llama-2-7B-bf16-sharded/resolve/main/pytorch_model-00001-of-00014.bin?download=true: 100%|█████████████████████████████| 981M/981M [00:40<00:00, 24.2MB/s]
* ensure we first load if it is bitcast to avoid taking the address of an rvalue
* tiny bf16 in the cloud
skip GPU
* should skip torch
lint
* Revert "ensure we first load if it is bitcast to avoid taking the address of an rvalue"
This reverts commit b86a28ab84bc1173764b2d480218e8de41a32390.
* break the kernel
* skip LLVM and GPU in CI
* skip CUDA
* handle reshape of contiguous subparts with explicit mask
* remove the add/remove ones logic in reshape
* accomodate ones in accumulate logic
* make multiply commutative
* fix linting
* make mypy happy
* add test for commutative mul
* merge dimensions in shape_strides for 1 range masks
* add offsets for merging
* fix linting
* add back explicit 1 reshapes
* fix mypy errors
* fix accumulate by includng state
* include non-zero stride dimension in acc
* small cleanup
* more compact to_shape_strides
* more logical cleanup
* compress more
* compress reshape mask
* adding some comments
* small bug fix
* improve test coverage
* remove explicit add remove ones
* small bug in test
* enable test_reshape_splitting_combining
* small fix
* 10 lines less to_shape_strides
* shorten reshape mask
* some more cleanup
* more cleanup
* introduce some symbols for compactness
* more symbols
* more cleaner
* lessen symbols, it became less readable
* remove merge_views from view.reshape
* change to_shape_strides to _merge_dims
* improve readability
* fix corner case
* cleanup
* better handling of 1 <= Variable('i',1,10) & new_dim = Variable('i',1,10)
* rewrite _reshape_mask for readability
* fix white space
* add comment
* nice shorthands for readability
* add proof in docs
* small nit
---------
Co-authored-by: chenyu <chenyu@fastmail.com>
* cpu tests pass
* torch works
* works
* metal works
* fix ops_disk
* metal jit works
* fix openpilot
* llvm and clang work
* fix webgpu
* docs are rly broken
* LRU works on metal
* delete comment
* revert name to ._buf. LRU only on Compiled
* changes
* allocator
* allocator, getting closer
* lru alloc
* LRUAllocator
* all pass
* metal
* cuda
* test examples
* linearizer
* test fixes
* fix custom + clean realize
* fix hip
* skip tests
* fix tests
* fix size=0
* fix MOCKHIP
* fix thneed
* copy better
* simple
* old style metal copy
* fix thneed
* np reshape
* give cuda a device
* clean up the buffers
* remove allocate_output
* functools.lru_cache is methodcache
* add TestShapeTrackerSize
* cache_clear
* no 0 sz buffer, add _ on functions that shouldn't be imported
* fix size
* if -> while
* add name support
* use fetch in gpt2
* remove requests from main lib, networkx also optional
* umm, keep that assert
* updates to fetch
* i love the walrus so much
* stop bundling mnist with tinygrad
* err, https
* download cache names
* add DOWNLOAD_CACHE_VERSION
* need env.
* ugh, wrong path
* replace get_child
* testing with the test_ops pattern
* add assign test
* flake8 complaining about single line fn
* slice 2d and minor cleanup
* make assign_slice a one-liner
* we dont need to repeat the same lambda twice, default tinygrad_fxn to be np_fxn
* back assign fn for np array
* implement __setitem__ in tensor.py
* dont re-slice the ret tesnsor
* one liner assign
* drop the permute test
* small lazy cleanups
* a few more
* cleanups
* no more realizing in the scheduler test
* a few more minor things
* that was just wrong
* fix graph. the graph test was completely useless
* make graph usable
* fix op graph
* loadop buffer on cpu
* works for GPU
* sort of working
* has bugs
* gpu tests pass
* fix some tests
* fix tensor cores
* fix test linearizer
* fix symbolic
* fix has_variable_shape
* non symbolic size
* disable weird test
* simple cache fix
* fix custom function
* fix kopt
* cleanups
* a bit broken on the assign
* contig check
* only buffer
* need that order
* idx
* dedup buffers
* hmm, bugfix
* fix tensor cores
* opts device
* loadop buffer on cpu
* works for GPU
* sort of working
* has bugs
* gpu tests pass
* fix some tests
* fix tensor cores
* fix test linearizer
* fix symbolic
* fix has_variable_shape
* non symbolic size
* disable weird test
* simple cache fix
* fix custom function
* fix kopt
* cleanups
* a bit broken on the assign
* contig check
* only buffer
* need that order
* idx
* 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
* add some contiguous
* remove second contig
* Revert "remove second contig"
This reverts commit fc164f7dca1ad75b1e466e4e45a05eca58b7e0e0.
* shm on osx
* can repro bug
* don't contig zeros and ones
* more paren stripping
* remove global and local size from renderers
* complex strip parens
* extra helpers + minor webgpu fix
* fix test uops
* one more parens test
* do reshaping without merge_views and reshape masks
* added tests
* properly do reshaping of zero or negative masks
* replace while loop with single expression
* remove old condition
* add more tests and comments
* remove empty file
* feat: add ops_shm
* clean: extra newline
* feat: add test
* feat: ci doesn't like that
* feat: ci still doesn't like that
* feat: skip big test on ci
* feat: testing
* feat: big
* feat: testing again
* feat: reskip test
* models matrix
* fix typo and install gpu deps
* install llvm deps if needed
* fix
* testops with cuda
* remove pip cache since not work
* cuda env
* install cuda deps
* maybe it will work now
* i can't read
* all tests in matrix
* trim down more
* opencl stuff in matrix
* opencl pip cache
* test split
* change cuda test exclusion
* test
* fix cuda maybe
* add models
* add more n=auto
* third thing
* fix bug
* cache pip more
* change name
* update tests
* try again cause why not
* balance
* try again...
* try apt cache for cuda
* try on gpu:
* try cuda again
* update packages step
* replace libz-dev with zlib1g-dev
* only cache cuda
* why error
* fix gpuocelot bug
* apt cache err
* apt cache to slow?
* opt and image in single runner
* add a couple n=autos
* remove test matrix
* try cuda apt cache again
* libz-dev -> zlib1g-dev
* remove -s since not supported by xdist
* the cache takes too long and doesn't work
* combine webgpu and metal tests
* combine imagenet to c and cpu tests
* torch tests with linters
* torch back by itself
* small windows clang test with torch tests
* fix a goofy windows bug
* im dumb
* bro
* clang with linters
* fix pylint error
* linter not work on windows
* try with clang again
* clang and imagenet?
* install deps
* fix
* fix quote
* clang by itself (windows too slow)
* env vars for imagenet
* cache pip for metal and webgpu tests
* try torch with metal and webgpu
* doesn't work, too long
* remove -v
* try -n=logical
* don't use logical
* revert accidental thing
* remove some prints unless CI
* fix print unless CI
* ignore speed tests for slow tests
* clang windows in matrix (ubuntu being tested in imagenet->c test)
* try manual pip cache
* fix windows pip cache path
* all manual pip cache
* fix pip cache dir for macos
* print_ci function in helpers
* CI as variable, no print_ci
* missed one
* cuda tests with docker image
* remove setup-python action for cuda
* python->python3?
* remove -s -v
* try fix pip cache
* maybe fix
* try to fix pip cache
* is this the path?
* maybe cache pip
* try again
* create wheels dir
* ?
* cuda pip deps in dockerfile
* disable pip cache for clang
* image from ghcr instead of docker hub
* why is clang like this
* fast deps
* try use different caches
* remove the fast thing
* try with lighter image
* remove setup python for cuda
* small docker and cuda fast deps
* ignore a few more tests
* cool docker thing (maybe)
* oops
* quotes
* fix docker command
* fix bug
* ignore train efficientnet test
* remove dockerfile (docker stuff takes too long)
* remove docker stuff and normal cuda
* oops
* ignore the tests for cuda
* does this work
* ignore test_train on slow backends
* add space
* llvm ignore same tests as cuda
* nvm
* ignore lr scheduler tests
* get some stats
* fix ignore bug
* remove extra '
* remove and
* ignore test for llvm
* change ignored tests and durationon all backends
* fix
* and -> or
* ignore some more cuda tests
* finally?
* does this fix it
* remove durations=0
* add some more tests to llvm
* make last pytest more readable
* fix
* don't train efficientnet on cpu
* try w/out pip cache
* pip cache seems to be generally better
* pytest file markers
* try apt fast for cuda
* use quick install for apt-fast
* apt-fast not worth
* apt-get to apt
* fix typo
* suppress warnings
* register markers
* disable debug on fuzz tests
* change marker names
* apt update and apt install in one command
* update marker names in test.yml
* webgpu pytest marker
* Fuzz test symbolic and shapetracker
This reverts commit d5773ddebff54c1ff608838076f0b4ff126b8aa8.
* mess again
* no tail
* test shapetracker too
* Revert mess and enable all tests
* removed leftover
* initial commit
* 81 passing
* 105 passing tests
* 148 passing
* CI tests
* install dep on ci
* try opencl pkgs
* try using vulkan
* down to only 6 failing
* refactor
* cleaning up
* another test skipped due to buffer limit
* linter
* segfault
* indent fix
* another segfault found
* small touchups
* Fix max and maxpool tests
* Add constant folding
* Add javascript export script
* better asserts in codegen
* manual upcasting
* reverted token type change
* skip safetensor test due to unsupported type
* FIx efficientnet and all other model tests
* Remove np copy
* fixed indent and missing import
* manually destroy the buffer
* revert back to length
* linter errors
* removed extra val
* skip broken tests
* skipping more tests
* Make the page pretty
* Save model weights as safetensor
* Fix imagenet to c test
* Fix second imagenet to c bug
* Async and paralel kernel compilation
* workgroup support
* reversed local size
* fixed non local bug
* correct local groups
* ci experiment
* removed typo
* Fix define local by using shared memory
* Refactor
* try running on mac
* match metal tests
* add more workers
* scope down tests
* trying windows runner
* fixed windows env
* see how many it can do
* merged master
* refactor
* missed refactor
* increase test suite coverage
* missing import
* whitespace in test_efficientnet.py
* getting there
* fixed reset
* fixed bufs
* switched to cstyle
* cleanup
* min/max rename
* one more linter issue
* fixed demo
* linter
* testing ci chrome
* add unsafe webgpu arg
* add build step
* remove WEBGPU from cmd line
* use module
* try forcing directx
* trying forced metal backend
* temp disable conv2d for CI
* disable conv_trasnpose2d
---------
Co-authored-by: 0x4d - Martin Loretz <20306567+martinloretzzz@users.noreply.github.com>
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
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