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Commits on Jun 3, 2024

• refactor part 2, moving stuff into common files so that we can later nicely separate out all the kernels as well

  karpathy

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Commits on May 24, 2024

• resolve merge conflict

  karpathy

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Commits on May 23, 2024

• 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

  karpathy

  committed
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Commits on May 21, 2024

• Fully deterministic encoder backward kernels for train_gpt2.cu

  ademeure

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Commits on May 18, 2024

• added a flag and the missing sqrt;

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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

  karpathy

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• improved numerical error checking:

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Commits on May 16, 2024

• simplify multi-gpu logic by reducing #ifdefs

  ngc92

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Commits on May 11, 2024

• bump the threshold for qkvw because flashattention expands the error here a tiny bit

  karpathy

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Commits on May 8, 2024

• unbreak the tests oops

  karpathy

  committed
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Commits on May 5, 2024

• Add FP16 path for atomicStochasticAdd (+remove __bfloat1622float2 to work on older CUDAs) + fixes

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Commits on May 4, 2024

• refactoring & remove unused functions to reduce LOC (+wip profile.py improvements)

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Commits on May 3, 2024

• Set cuBLAS(Lt) to use the new main_stream

  ademeure

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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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Commits on May 1, 2024

• fix cudnnDestroy outside of ifdef

  karpathy

  committed
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• Add missing cudnnDestroy() calls

  ademeure

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• Fixed profile_gpt2.cu/test_gpt2.cu for cuDNN

  ademeure

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• slightly increase wte threshold to make test_gpt2.cu pass (?)

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• Merge remote-tracking branch 'karpathy/master' into cudnn_try2

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Commits on Apr 30, 2024

• allow fp32 precision in the test script as well

  karpathy

  committed
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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

  karpathy

  committed
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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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Commits on Apr 29, 2024

• Merge remote-tracking branch 'karpathy/master' into layernormbf16

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Commits on Apr 28, 2024

• Merge pull request karpathy#279 from Ricardicus/prec-ci

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  karpathy

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• Updating the CI to build different precisions

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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 traini…

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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

  karpathy

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• adjust comment

  karpathy

  committed
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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

  karpathy

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Commits on Apr 27, 2024

• Full BF16 including layernorm at good perf by minimising BF16 atomics

  ademeure

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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...

  karpathy

  committed
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• print more in the comparison

  karpathy

  committed
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• tweak the tolerances until we pass lol

  karpathy

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• fix dumb bug. i'll blame github copilot but i can't remember

  karpathy

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• i think github copilot betrayed me on this index here, i cant remember

  karpathy

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