* add thneed self test
* don't do the memset in thneed, shouldn't matter though
Co-authored-by: Comma Device <device@comma.ai>
old-commit-hash: 6c0ad1e67567e149cdf9e00ab7ae43f4cc5bc579
* bigmodel
* more debug print
* debugging bigmodel
* remove the tanh, debugging
* print images/buffers
* disassemble the command queues
* decompiler
* dump the shaders
* full disasm
* support patching kernel and fixing convolution_horizontal_reduced_reads_1x1
* microbenchmark
* 42 GFLOPS, 1 GB/s
* gemm benchmark
* 75 GFLOPS vs 42 GFLOPS
* 115 GFLOPS
* oops, never mind
* gemm image is slow
* this is pretty hopeless
* gemm image gets 62 GFLOPS
* this is addictive and still a waste of time
* cleanup cleanup
* that hook was dumb
* tabbing
* more tabbing
Co-authored-by: Comma Device <device@comma.ai>
old-commit-hash: 78a352a8ca8a948e86e7c752732e470f89d92280
* way cleaner take 2
* cleanup
* be more relaxed
* just let it be
* don't drive backwards or upside down
* do this more
* vNED sometyimes invalid
* use reasonble stds
* stability in nonlinear zone
* previous metrics were without publishing
old-commit-hash: 81686547cc10dc129fb921f938dc496455613e33
* thneed runs the model
* thneed is doing the hooking
* set kernel args
* thneeding the bufferS
* print the images well
* thneeds with better buffers
* includes
* disasm adreno
* parse packets
* disasm works
* disasm better
* more thneeding
* much thneeding
* much more thneeding
* thneed works i think
* thneed is patient
* thneed works
* 7.7%
* gpuobj sync
* yay, it mallocs now
* cleaning it up, Thneed
* sync objs and set power
* thneed needs inputs and outputs
* thneed in modeld
* special modeld runs
* can't thneed the DSP
* test is weird
* thneed modeld uses 6.4% CPU
* add thneed to release
* move to debug
* delete some junk from the pr
* always track the timestamp
* timestamp hacks in thneed
* create a new command queue
* fix timestamp
* pretty much back to what we had, you can't use SNPE with thneed
* improve thneed test
* disable save log
Co-authored-by: Comma Device <device@comma.ai>
old-commit-hash: 302d06ee709cb65dba39e836917f5693f0819efb
* Start white panda deprecation
* Unify alert text
* Add noentry
* Change to no longer supported
* panda is lowercase
* Capitalize
* rerun ci
old-commit-hash: c85b174584b1281ce1f1d168b0b0610d5d540896
* try again with toyota LTA
* Fix dbc and send at 50Hz
* Add commented code
* Remove unused import
* Remove that
old-commit-hash: 49dd37b81b05c8d77d801c4a027d27d7b1b8094c
Previous commit moved G80 from G90 grouping to Hyundai Genesis grouping.
Bug found as minSteerSpeed is 0 for G80 but 60 for Hyundai Genesis.
Taking @pd0wm recommendation and ungrouping G80 to its own.
old-commit-hash: 2c39133c094c0db21bf46be753752d6c49961c06
Hyundai Genesis 2015-2016 is similar to Genesis G80. The Genesis G90 is the larger vehicle. These are grouped wrongly.
old-commit-hash: 38cdc5777f201be855ed45d8556b13cc328660a5
* it's a class
* more refactor
* remove that
* car interface should create that
* that too
* not a dict
* don't create permanent events every iteration
* break up long lines
* fix honda
* small optimization
* less long lines
* dict is faster
* latcontrol less args
* longcontrol less args
* update profiling script
* few optimizations
* create events together
* clean up
* more clean up
* remove comment
* clean up
* simplify state transition
* more clean up
* update comments
old-commit-hash: 08832ff29d20348ebffd0ac3bcce29ad3a479cee
VirtuallyChris