 Andrej Karpathy
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8b951056b5
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resolve merge conflict
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2024-05-24 22:04:02 +00:00 |
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Andrej Karpathy
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645869b6f7
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add weight decay -c option and be more careful in our tests of correctness, our weight decay didn't match to pytorch. also modify the betas in AdamW to be consistent with those used in GPT-3 training
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2024-05-23 20:45:59 +00:00 |
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ademeure
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b5e75dde8e
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Fully deterministic encoder backward kernels for train_gpt2.cu
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2024-05-21 15:57:07 +01:00 |
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Erik Schultheis
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a9947a8315
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added a flag and the missing sqrt;
testing now has clipping enabled
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2024-05-18 22:47:15 +03:00 |
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Andrej Karpathy
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4374360015
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adjust wte upper bound a bit, and print always because this part is really tricky and i don't trust anything other than manual inspection, even if we pass, allegedly
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2024-05-18 18:34:24 +00:00 |
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Erik Schultheis
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bf36a4b6b5
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improved numerical error checking:
tighter tolarances
relative tolerance based of bf16 epsilon
less verbose output if all is OK
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2024-05-18 13:27:35 +03:00 |
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Erik Schultheis
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57f70ea66b
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simplify multi-gpu logic by reducing #ifdefs
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2024-05-16 14:12:14 +03:00 |
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Andrej Karpathy
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3dbb0bb89c
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bump the threshold for qkvw because flashattention expands the error here a tiny bit
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2024-05-11 17:19:41 +00:00 |
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Andrej Karpathy
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26dbbc75c2
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unbreak the tests oops
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2024-05-08 20:18:33 +00:00 |
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ademeure
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876ab93c0a
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Add FP16 path for atomicStochasticAdd (+remove __bfloat1622float2 to work on older CUDAs) + fixes
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2024-05-05 15:05:59 +01:00 |
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ademeure
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bfb9c51446
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refactoring & remove unused functions to reduce LOC (+wip profile.py improvements)
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2024-05-04 23:40:15 +01:00 |
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ademeure
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a19fcecb79
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Set cuBLAS(Lt) to use the new main_stream
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2024-05-03 18:35:46 +01:00 |
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ademeure
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b58181079a
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super optimised matmul_bias + cuda streams for better parallelism + fix fused_classifier cache hint + remove remaining cooperative groups
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2024-05-03 16:38:46 +01:00 |
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Andrej Karpathy
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1ed9381fd0
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fix cudnnDestroy outside of ifdef
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2024-05-01 17:55:36 +00:00 |
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ademeure
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1147983b8c
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Add missing cudnnDestroy() calls
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2024-05-01 17:19:51 +01:00 |
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ademeure
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d9e7a0a378
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Fixed profile_gpt2.cu/test_gpt2.cu for cuDNN
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2024-05-01 17:03:28 +01:00 |
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ademeure
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c778dc0098
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slightly increase wte threshold to make test_gpt2.cu pass (?)
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2024-05-01 15:40:30 +01:00 |
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ademeure
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c4ecc04dc3
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Merge remote-tracking branch 'karpathy/master' into cudnn_try2
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2024-05-01 15:30:00 +01:00 |
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Andrej Karpathy
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44656c3850
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allow fp32 precision in the test script as well
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2024-04-30 18:38:38 +00:00 |
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Andrej Karpathy
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654d6f55c5
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add arg to cap the number of steps, and offset all prints to start steps at 1, which i think looks better to the eye
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2024-04-30 17:46:36 +00:00 |
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ademeure
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435ac928b4
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cuDNN Forward Flash Attention is working in both /dev/cuda/ and train_gpt2.cu! (backwards pass is broken for now as a conquence)
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2024-04-30 17:00:09 +01:00 |
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ademeure
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d23bb1fd13
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Merge remote-tracking branch 'karpathy/master' into layernormbf16
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2024-04-29 19:41:54 +01:00 |
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Andrej
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18b41b4df6
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Merge pull request #279 from Ricardicus/prec-ci
Updating the CI to build different precisions
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2024-04-28 13:47:48 -07:00 |
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Rickard Hallerbäck
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b522333851
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Updating the CI to build different precisions
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2024-04-28 22:17:47 +02:00 |
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Andrej Karpathy
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835060e18d
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padded vocab change. touched a lot of code. very stressful and error prone, but i think it is done. had to bump versions on all .bin files, invalidating the previous files. re-run the python training script to re-export the new version files. let's not do too much of things like this in the future lol. actually, fun fact i had a chance to do the padded vocab really really early in the history of llm.c development, and chose not do it, thinking i'll just do it later. i should have done it. such is life, you make mistakes, you accumulate scar tissue, and you learn, and you become better, faster, stronger. this is the mindset one must have to lead a happy and fulfilling life. it's not important that you are perfect at any point in time, it's only important that you keep improving, every day.
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2024-04-28 18:47:03 +00:00 |
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Andrej Karpathy
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9d70d9a1b2
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profile and test only use bf16. but the train script can be run with fp32 or bf16 or fp16. fp16 will error, though
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2024-04-28 16:17:22 +00:00 |
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Andrej Karpathy
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82d7907214
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adjust comment
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2024-04-28 00:05:03 +00:00 |
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Andrej Karpathy
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9a91b40207
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bring back original ordering. i also had to bump the thresholds by 3X for some tensors and i don't exactly know why sad
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2024-04-28 00:02:51 +00:00 |
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ademeure
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8768f6bd74
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Full BF16 including layernorm at good perf by minimising BF16 atomics
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2024-04-28 00:31:42 +01:00 |
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Andrej Karpathy
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00627070aa
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fix a really bad bug in how i was checking the gradients, where i loaded them in the old order, so yeah...
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2024-04-27 23:17:22 +00:00 |
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Andrej Karpathy
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a58b8d5dc7
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print more in the comparison
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2024-04-27 16:04:55 +00:00 |
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Andrej Karpathy
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9d6fd30e3c
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tweak the tolerances until we pass lol
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2024-04-27 15:49:54 +00:00 |
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Andrej Karpathy
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e067a27395
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fix dumb bug. i'll blame github copilot but i can't remember
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2024-04-27 15:40:32 +00:00 |
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Andrej Karpathy
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d4a642ba19
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i think github copilot betrayed me on this index here, i cant remember
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2024-04-27 15:38:20 +00:00 |
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Andrej Karpathy
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09d935c82b
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i think i am making things cleaner, but i am not fixing the problem
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2024-04-27 15:27:05 +00:00 |
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Andrej Karpathy
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09cd67e868
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code to load bf16 weights directly, and also re-wire the position of tensors to put the layernorms at the end. the training loop seems to work ok, and the tests pass and the loss and optimization looks ok, but the gradients don't match. which can't be right. so there is a bug, but it's a bit too late in the day for me to debug right now, creating a PR and going to sleep, will fix tomorrow
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2024-04-27 00:54:06 +00:00 |
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Andrej Karpathy
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0b59d80880
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not proud of this but i have to increase the threshold for now to make test pass. later we should come back around and tighten thresholds
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2024-04-23 18:13:57 +00:00 |
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ademeure
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7c193bd4cc
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Good news: it works. Bad news: 16-bit atomics are *incredibly slow* :( (is it doing CAS?)
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2024-04-23 05:00:47 +01:00 |
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ademeure
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85290a5228
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Updated FP16/BF16 mix-and-match ncluding stochastic rounding
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2024-04-23 01:39:33 +01:00 |
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ademeure
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58df2629ae
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Gradients now working in BF16 mode! (still need adam etc...)
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2024-04-22 18:09:18 +01:00 |
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Erik Schultheis
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0636bc4ee3
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removed the union and moved the logit->probability conversion into the sampling function
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2024-04-21 16:45:46 +03:00 |
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Erik Schultheis
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7f3272c38f
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unionize output buffer
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2024-04-21 02:11:41 +03:00 |
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Erik Schultheis
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24dd728953
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only need one V-sized buffer that can switch from logits to dlogits in the fused backward pass
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2024-04-20 20:19:16 +03:00 |
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Andrej Karpathy
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954077fb88
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TRAINING WORKSgit add train_gpt2.cu! ITS SLOW BUT IT WORKS WOOT
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2024-04-17 04:58:37 +00:00 |
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Andrej Karpathy
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3f24ac961d
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check the entire gradient tensor all at once nice
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2024-04-17 04:41:58 +00:00 |
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Andrej Karpathy
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fd6882a1e3
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encoder backward really naive, just to get this finished full
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2024-04-17 04:39:02 +00:00 |
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Andrej Karpathy
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a3a3b82d82
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also backward the attention, that was not easy lol
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2024-04-17 04:23:08 +00:00 |
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Andrej Karpathy
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45b0df0d3a
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backward now up to and not including attention
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2024-04-16 20:34:13 +00:00 |
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Andrej Karpathy
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e96f0ee2c8
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backward the layernorm
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2024-04-16 20:31:21 +00:00 |
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Andrej Karpathy
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bf4ac57adc
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backward the gelu and the matmul after
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2024-04-16 20:29:08 +00:00 |
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