* change clang -march flag to -mcpu with fp16 disassembly test
* fix
* add capstone to macos dependencies
* just check no cast in test
* rm import
* woops
* lets check
* move check
* llvm init before cpu chcek
* try this
* bump autogen llvm version
* also update libclang?
* revert
* add comment
* skip llvm test and add comment
* linter
* remove cpu and torch backends
* don't copy to cpu
* use clang instead of cpu
* multitensor gathers on the first device
* clang is cpu + use default
* fixup
* bugfix
* skip matacc opt if the all src buffers of mul op are const buffers
* add noqa directive for long test
* unskip MALACC opt
* ensure that a_axes at least includes summation axes in order to perform np.einsum correctly
* add regression test for mulacc op
* compute a_slices using a_axes
* refactor helper of function to retrieve axes and slices for nonzero strides as well as summation axes
* include a regression test that uses and to test the behaviour indirectly
* try
* test: add logical_not tests
* gah im retarded, but this doesn't match types for const()
* fix: can't we jsut do this?
* big change: I don't actually know what I'm doing
* WOOO IM JUST CHANGING EVERYTHING WOW probably gon revert later
* BYE BYE noqa: E501
* fix: less lines and add test
* fix: rm 2 redundant tests
* fix: eq with False so we don't unintentionally implicit upcast, but it's bool anyways so w/e
now the input types are matched and checked in lazy, we can remove these output_type.
also remove the usage of least_upper_dtype in ops.py since we can just use the input type
* remove match_type in ops_torch and ops_cpu
input dtypes are aligned and casted in mlops
* dict union only after python3.9
* fix that
* fix Sigmoid forward cast
* 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
* torch and numpy don't share ops anymore
* that should be filtered out elsewhere
* still const
* graph + enet example cleanup
* hmm, we do still need it because of symbolic
* remove force_wait
* refactor
* get rid of stupid ASTRunner
* fix del in diskbuffer
* BufferOps.FROM_UNDERLYING
* put offset in the rawbuffer
* fix bugs
* use exec
* add back as_strided, move rebuilt mops to extra
* negative stride for ops_cpu
* Revert "negative stride for ops_cpu"
This reverts commit a13b6815ac.
* skip that
* style
* very close
* remove comment
* negative strides working
* almost everything passes
* calculate offset with list comprehension
* some cleanup
* got disk load working
* review suggestions
* fix after merge
* overlap working
* did it
* clean
* fixed disk load
* lint
* mypy
* removed as_strided
* trying without simplify
* added back simplify
* make sure expanding to smaller shape
* cleanup
* removed comment
* removed env file
* trying whisper test again
* onnx test sqlite issue
* working on test
* finished test
* eliminate unnecessary shrink-then-pad
* don't shrink buffer
* added strides check
* added to ci under linters
* switch issue
* allow symbolic stride
* removed .env
* isinstance
* adjust strides for double expand
* cleanup
* needed to add type hint for mypy
* set pythonpath
* sort of works
* interpreted
* fix flopcounter
* interpreted
* simpler
* type
* functools compile ast
* lose a line
* delete extra file
* no self.method_cache
* applying st
* tests pass
* minor cleanups
* torch too
* hack
* contiguous
* move mops
* contig in BN
* tests should pass
* make torch fast
* make zeros and ones contig by default
* no contig there
* fix padding with expanding
* might fix tests
* still doesn't fix bug, but should be there
* Revert "still doesn't fix bug, but should be there"
This reverts commit 8ea92f3e07.
* minor cleanups
* 1
* 83 failed
* learning how git works
* lol idk
* zero shape aaaa
* space lol
* aaa
* test check
* haha
* fixed gather
* 73 failing
* 71 failing
* 68 failing
* added some debug
* fking resize
* lol
* 62 failing
* 58 failling fucking did nearest resize hell yeah
* clean up
* 56 failing
* janitor duty
* lol
* 53 failing
* hi mom
* 50 failing
* added linear interp, but coord_trans is wrong
* did lin interpolation woohoo
* 43 failing
* 40 failing
* temporary Gather fix
* 39 failing
* fixed slice onnxver<10
* 37 failing
* 35 failing
* excluded tests that use float64
* 32 failing with hacks
* added _batchnorm() for 3D 5D batchnorm, 29 failing
* changed ALLOWED_KERNEL_COUNT from 199 to 207
* added improved Gather op, reverted ALLOWED_KERNEL_COUNT commit
* support Round op
* added storage_order/indices maxpool, 27 failing
* support maxunpool, 25 failures
* support Gradient, 23 failures
* merged new where
* added Adam
* cleanups
* added Momentum and Nesterov Momentum
* added Adagrad
* support sequence_type, 20 failing
* ugh git
* I give up on cubic interp :D, 9 failing
* sexy 1 liner gather, much improved, wow
* polished gather to make it shine bright like a diamond
* clean 1 liner for gather
* improved readability of gather
* uhh
* clean up
* more clean up
* WHITEspace
* implemented SoftmaxCrossEntropyLoss op
* added comments and cleaned up if statements
* update
* thank based wozeparrot for pow and new GatherElements
* CPU and TORCH all pass | cast float64 -> float32 for all fromCPU()
* _nearest_gather() failing on yolo
* reverted ops_cpu change and added assert in Resize
* added comments for resize for multiple channels
* oops
* merge
* test
* switched np.pad to Tensor.pad for constant padding
* gah
* gah2
* sexy reflect pad with movementops -> add
* delete commented out lines
* edge mode pad sexy as well
* trying out model_benchmark
* revert gitignore change lol
* init
* Revert "init"
This reverts commit 682bf2073a.
* wrote cast workaround for CPU, CPU and TORCH all pass
* wrote cast workaround for CPU, CPU and TORCH all pass
* skipped tests w/ 0 shape for METAL and GPU
* excluded tests for CLANG, CPU, TORCH, CLANG pass
* fixed hacky ConvTranspose
* gotta figure out autopad
* UOps.STORE support cast bool -> float
* small fix for fast gather
* reverted 0 shape skipped tests
* oops missed a file
* added comment
* fixed slice op hack
* First commit to pr
* More trig ops
* More trig ops
* format
* isinf support
* More ops
* changed onnx_ops to use our new gather :D
* Det op bug fix
* rebase
* fixed some tests
* det broken and slow
* fixed compress to use new gather
* implemented argmax argmin
* support variable types in type_proto
* support Upsample and Identity sequence
* we support float64 now and tinygrad support automatic broadcasting
* added EyeLike op
* resize does support multiple channels now actually
* yolov8 onnx runs successfully
* added batch size 1
* oops
* finally fixed type_proto I think
* fixed some llvm bugs
* del whitespaces
* added ZenginU Format PR
* test
* oops
* added float64 exclude tests back
* more skipped tests
* try
* ok openpilot pass
* flake8 pass
* woooooohooo
* revert external_model_benchmark changes
* perf tested gather
* removed promote types from ops_cpu
* numerical errors from 1681 is fixed
---------
Co-authored-by: ZenginU <umutzengin00@gmail.com>
