* ops_gpu is go
* fix size 0
* fix image, and add more tests
* nerf openpilot test, doesn't test thneed
* run the schedule
* better
* oops, new inputs
* delete pyopencl
* Update ops_gpu.py
* pad slice test cases, many failing
* fix failing test cases
check mask if we are outside the base buffer
also create a multi-view if in that case we reshape to an empty shape
* real_offset calculation more readable
---------
Co-authored-by: chenyu <chenyu@fastmail.com>
* rewrite 0 size loadop into a CONST
* check alloc size
* EMPTY is better
* Revert "EMPTY is better"
This reverts commit 574fe0f9ed28f1b97da5a81afdfd2cd5d9a94ff9.
* no ast is created
* fix test
* 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
* add typedefs and make_dtypen functions
use ext_vector_type for half16 kernels
* remove the old test_render because we just use whatever cstyle has
* align vectors
* image support weird loads
* umm, that was always wrong
* openpilot compile fails with a weird error
* image test passes
* we have valids now
* clean that up
* no more required opts
* add fastvits test, fix bug
* minor cleanups
* hip amd compilation
* gate the test properly
* cleanup unused import
* remove superfluous numpy conversion
* add SpeedyNet tests (f32 [passes] & f16 [fails])
* make CI verbose (error log from hip compiler)
* test the real ops_hip
* Merge branch 'tinygrad:master' into ci/hip-compilation
* fix CI
* cleanup
* really fix CI
* Fix CI Three: the refixening
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Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* Remove the rawbuffer copy in runtime/lib.py on line 44
* remove buffer view
* added metadata back, oops
* delayed cpu testcase
* whitespace
* whitespace
* buffer behavior as is
* Update test_jit.py
* hip amd compilation
* gate the test properly
* cleanup unused import
* remove superfluous numpy conversion
* add SpeedyNet tests (f32 [passes] & f16 [fails])
* make CI verbose (error log from hip compiler)
* test the real ops_hip
* Merge branch 'tinygrad:master' into ci/hip-compilation
* fix CI
* cleanup
* really fix CI
* 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
* 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
* update HIP language
* vectorized render_cast with special treatment for hip only
* test coverage for all cases
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
