[Not for land] Settings to make Llama3-8B on 8 GPUs faster#615
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awgu wants to merge 4 commits intogh/awgu/17/basefrom
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[Not for land] Settings to make Llama3-8B on 8 GPUs faster#615awgu wants to merge 4 commits intogh/awgu/17/basefrom
awgu wants to merge 4 commits intogh/awgu/17/basefrom
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Requires pytorch/pytorch#137922 ``` TORCH_NCCL_AVOID_RECORD_STREAMS=1 PYTORCH_CUDA_ALLOC_CONF="expandable_segments:True" CONFIG_FILE=train_configs/llama3_8b.toml ./run_llama_train.sh ``` ``` [rank0]:2024-10-14 11:58:53,071 - root - INFO - step: 1 loss: 12.2208 memory: 66.44GiB(69.93%) wps: 882 mfu: 5.17% [rank0]:2024-10-14 11:58:53,071 - root - INFO - Synchronizing and adjusting timeout for all ProcessGroups to 0:01:40 [rank0]:2024-10-14 11:58:54,196 - root - INFO - step: 2 loss: 12.0630 memory: 73.96GiB(77.85%) wps: 7,282 mfu: 42.64% [rank0]:2024-10-14 11:58:55,322 - root - INFO - step: 3 loss: 11.7272 memory: 73.96GiB(77.85%) wps: 7,276 mfu: 42.60% [rank0]:2024-10-14 11:58:56,448 - root - INFO - step: 4 loss: 11.2526 memory: 73.96GiB(77.85%) wps: 7,280 mfu: 42.63% [rank0]:2024-10-14 11:58:57,575 - root - INFO - step: 5 loss: 10.7972 memory: 73.96GiB(77.85%) wps: 7,268 mfu: 42.56% [rank0]:2024-10-14 11:58:58,699 - root - INFO - step: 6 loss: 10.5048 memory: 73.96GiB(77.85%) wps: 7,293 mfu: 42.70% [rank0]:2024-10-14 11:58:59,824 - root - INFO - step: 7 loss: 10.3384 memory: 73.96GiB(77.85%) wps: 7,285 mfu: 42.66% [rank0]:2024-10-14 11:59:00,952 - root - INFO - step: 8 loss: 10.3164 memory: 73.96GiB(77.85%) wps: 7,266 mfu: 42.55% [rank0]:2024-10-14 11:59:02,083 - root - INFO - step: 9 loss: 10.0995 memory: 73.96GiB(77.85%) wps: 7,247 mfu: 42.44% [rank0]:2024-10-14 11:59:03,211 - root - INFO - step: 10 loss: 9.9308 memory: 73.96GiB(77.85%) wps: 7,264 mfu: 42.54% [rank0]:2024-10-14 11:59:04,337 - root - INFO - step: 11 loss: 9.5785 memory: 73.96GiB(77.85%) wps: 7,275 mfu: 42.60% [rank0]:2024-10-14 11:59:05,465 - root - INFO - step: 12 loss: 9.5265 memory: 73.96GiB(77.85%) wps: 7,267 mfu: 42.56% [rank0]:2024-10-14 11:59:06,595 - root - INFO - step: 13 loss: 9.3497 memory: 73.96GiB(77.85%) wps: 7,252 mfu: 42.47% [rank0]:2024-10-14 11:59:06,601 - root - WARNING - Dataset c4_test is being re-looped ``` [ghstack-poisoned]
Requires pytorch/pytorch#137922 ``` TORCH_NCCL_AVOID_RECORD_STREAMS=1 PYTORCH_CUDA_ALLOC_CONF="expandable_segments:True" CONFIG_FILE=train_configs/llama3_8b.toml ./run_llama_train.sh ``` ``` [rank0]:2024-10-21 21:23:32,899 - root - INFO - Training starts at step 1, with local batch size 1, global batch size 8, sequence length 8192, total steps 1000 (warmup 200) [rank0]:/data/users/andgu/pytorch/torch/_inductor/lowering.py:1759: UserWarning: Torchinductor does not support code generation for complex operators. Performance may be worse than eager. [rank0]: warnings.warn( [rank0]:/data/users/andgu/pytorch/torch/autograd/graph.py:825: UserWarning: cuDNN SDPA backward got grad_output.strides() != output.strides(), attempting to materialize a grad_output with matching strides... (Triggered internally at /data/users/andgu/pytorch/aten/src/ATen/native/cudnn/MHA.cpp:674.) [rank0]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass [rank0]:2024-10-21 21:23:42,336 - root - INFO - step: 1 loss: 12.2799 memory: 63.45GiB(66.79%) wps: 868 mfu: 5.08% [rank0]:2024-10-21 21:23:42,336 - root - INFO - Synchronizing and adjusting timeout for all ProcessGroups to 0:01:40 [rank0]:2024-10-21 21:23:43,539 - root - INFO - step: 2 loss: 12.1023 memory: 70.96GiB(74.69%) wps: 6,813 mfu: 39.90% [rank0]:2024-10-21 21:23:44,667 - root - INFO - step: 3 loss: 11.7899 memory: 70.96GiB(74.69%) wps: 7,263 mfu: 42.53% [rank0]:2024-10-21 21:23:45,795 - root - INFO - step: 4 loss: 11.3163 memory: 70.96GiB(74.69%) wps: 7,264 mfu: 42.54% [rank0]:2024-10-21 21:23:46,923 - root - INFO - step: 5 loss: 10.8908 memory: 70.96GiB(74.69%) wps: 7,262 mfu: 42.52% [rank0]:2024-10-21 21:23:48,050 - root - INFO - step: 6 loss: 10.4146 memory: 70.96GiB(74.69%) wps: 7,275 mfu: 42.60% [rank0]:2024-10-21 21:23:49,174 - root - INFO - step: 7 loss: 10.1523 memory: 70.96GiB(74.69%) wps: 7,288 mfu: 42.68% [rank0]:2024-10-21 21:23:50,306 - root - INFO - step: 8 loss: 10.2847 memory: 70.96GiB(74.69%) wps: 7,240 mfu: 42.40% [rank0]:2024-10-21 21:23:51,434 - root - INFO - step: 9 loss: 10.0047 memory: 70.96GiB(74.69%) wps: 7,263 mfu: 42.53% [rank0]:2024-10-21 21:23:52,560 - root - INFO - step: 10 loss: 9.9882 memory: 70.96GiB(74.69%) wps: 7,279 mfu: 42.63% [rank0]:2024-10-21 21:23:53,685 - root - INFO - step: 11 loss: 9.6261 memory: 70.96GiB(74.69%) wps: 7,285 mfu: 42.66% [rank0]:2024-10-21 21:23:54,813 - root - INFO - step: 12 loss: 9.5229 memory: 70.96GiB(74.69%) wps: 7,265 mfu: 42.54% [rank0]:2024-10-21 21:23:55,944 - root - INFO - step: 13 loss: 9.4371 memory: 70.96GiB(74.69%) wps: 7,244 mfu: 42.42% [rank0]:2024-10-21 21:23:55,950 - root - WARNING - Dataset c4_test is being re-looped ``` [ghstack-poisoned]
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Stack from ghstack (oldest at bottom):
Requires pytorch/pytorch#137922
Baseline (
torch.compile, no AC):With this PR (~13% speedup):
Baseline: compile, no AC
With this PR
Coordinate descent tuning gives ~2% MFU boost.