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open source driving agent
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jyoung/selfdrive/modeld/thneed/debug/test.cc

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thneed saves 45% of a core (#1512) * 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
5 years ago
version https://git-lfs.github.com/spec/v1
This isn't bigmodel, but there's a lot of good stuff here (#1532) * 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
5 years ago
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