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Add KTO Loss (#475)
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‎.gitignore

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.venv/
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venv/
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.ipynb_checkpoints/
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.vscode/
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# Misc
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.DS_Store

‎benchmark/README.md

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## Benchmarking Liger Kernels
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Follow these steps to benchmark and visualize kernel performance:
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1. Create a benchmark script
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- Add your script under `benchmark/scripts/`
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- Name it according to the kernel (e.g., `benchmark_<kernel_name>.py`)
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2. Run the benchmark
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- Results will be saved to `benchmark/data/all_benchmark_data.csv`
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Example: Benchmarking KTO Loss
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```bash
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cd benchmark
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python scripts/benchmark_kto_loss.py
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```
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3. Visualize results
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- Use the visualization script with appropriate parameters
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Example: Visualizing KTO Loss benchmark results
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```bash
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python benchmarks_visualizer.py \
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--kernel-name kto_loss \
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--metric-name memory \
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--kernel-operation-mode full
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```
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4. View results
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- Generated plots will be saved in `benchmark/visualizations/`

‎benchmark/data/all_benchmark_data.csv

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fused_linear_simpo_loss,huggingface,full,memory,MB,B,B,4,12184.330078125,12184.330078125,12184.330078125,"{""T"": 1024, ""H"": 4096, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16""}",NVIDIA A100-SXM4-80GB,2024-11-15 14:30:01,0.4.1
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fused_linear_simpo_loss,huggingface,full,memory,MB,B,B,8,19262.361328125,19262.361328125,19262.361328125,"{""T"": 1024, ""H"": 4096, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16""}",NVIDIA A100-SXM4-80GB,2024-11-15 14:30:01,0.4.1
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fused_linear_simpo_loss,huggingface,full,memory,MB,B,B,16,33418.42578125,33418.42578125,33418.42578125,"{""T"": 1024, ""H"": 4096, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16""}",NVIDIA A100-SXM4-80GB,2024-11-15 14:30:01,0.4.1
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kto_loss,liger,forward,speed,ms,B,Batch Size (B),2,7.841599941253662,7.801983833312988,7.849664211273193,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:06,0.5.2
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kto_loss,liger,forward,speed,ms,B,Batch Size (B),4,15.568096160888672,15.555737495422363,16.054176330566406,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:06,0.5.2
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kto_loss,liger,forward,speed,ms,B,Batch Size (B),8,31.145376205444336,30.750951766967773,31.5398006439209,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:06,0.5.2
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kto_loss,liger,forward,speed,ms,B,Batch Size (B),16,61.49708938598633,61.49708938598633,61.49708938598633,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:06,0.5.2
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kto_loss,liger,forward,speed,ms,B,Batch Size (B),32,122.01449584960938,122.01449584960938,122.01449584960938,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:06,0.5.2
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kto_loss,huggingface,forward,speed,ms,B,Batch Size (B),2,7.892335891723633,7.8687615394592285,8.03729248046875,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:28,0.5.2
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kto_loss,huggingface,forward,speed,ms,B,Batch Size (B),4,14.16302490234375,13.813311576843262,15.860223770141602,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:28,0.5.2
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kto_loss,huggingface,forward,speed,ms,B,Batch Size (B),8,25.56470489501953,25.564167022705078,25.641658782958984,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:28,0.5.2
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kto_loss,huggingface,forward,speed,ms,B,Batch Size (B),16,53.0928955078125,53.0928955078125,53.0928955078125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:28,0.5.2
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kto_loss,huggingface,forward,speed,ms,B,Batch Size (B),32,108.76080322265625,108.76080322265625,108.76080322265625,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:28,0.5.2
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kto_loss,liger,full,speed,ms,B,Batch Size (B),2,8.662687301635742,8.488287925720215,9.611334800720215,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:50,0.5.2
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kto_loss,liger,full,speed,ms,B,Batch Size (B),4,18.40096092224121,17.99224281311035,18.57883644104004,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:50,0.5.2
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kto_loss,liger,full,speed,ms,B,Batch Size (B),8,32.09159851074219,31.708070755004883,32.475128173828125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:50,0.5.2
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kto_loss,liger,full,speed,ms,B,Batch Size (B),16,69.30239868164062,69.30239868164062,69.30239868164062,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:50,0.5.2
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kto_loss,liger,full,speed,ms,B,Batch Size (B),32,124.2437744140625,124.2437744140625,124.2437744140625,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:33:50,0.5.2
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kto_loss,huggingface,full,speed,ms,B,Batch Size (B),2,11.449472427368164,11.407564163208008,11.773555755615234,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:11,0.5.2
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kto_loss,huggingface,full,speed,ms,B,Batch Size (B),4,20.871471405029297,20.862951278686523,20.879276275634766,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:11,0.5.2
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kto_loss,huggingface,full,speed,ms,B,Batch Size (B),8,41.16409683227539,40.760780334472656,41.567413330078125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:11,0.5.2
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kto_loss,huggingface,full,speed,ms,B,Batch Size (B),16,77.720703125,77.720703125,77.720703125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:11,0.5.2
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kto_loss,huggingface,full,speed,ms,B,Batch Size (B),32,156.25794982910156,156.25794982910156,156.25794982910156,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:11,0.5.2
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kto_loss,liger,full,memory,MB,B,Batch Size (B),2,2027.48583984375,2027.48583984375,2027.48583984375,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:36,0.5.2
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kto_loss,liger,full,memory,MB,B,Batch Size (B),4,2789.736328125,2789.736328125,2789.736328125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:36,0.5.2
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kto_loss,liger,full,memory,MB,B,Batch Size (B),8,2801.751953125,2801.751953125,2801.751953125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:36,0.5.2
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kto_loss,liger,full,memory,MB,B,Batch Size (B),16,2825.783203125,2825.783203125,2825.783203125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:36,0.5.2
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kto_loss,liger,full,memory,MB,B,Batch Size (B),32,2873.845703125,2873.845703125,2873.845703125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:36,0.5.2
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kto_loss,huggingface,full,memory,MB,B,Batch Size (B),2,3786.7373046875,3786.7373046875,3786.7373046875,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:59,0.5.2
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kto_loss,huggingface,full,memory,MB,B,Batch Size (B),4,5544.25390625,5544.25390625,5544.25390625,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:59,0.5.2
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kto_loss,huggingface,full,memory,MB,B,Batch Size (B),8,9057.287109375,9057.287109375,9057.287109375,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:59,0.5.2
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kto_loss,huggingface,full,memory,MB,B,Batch Size (B),16,16087.353515625,16087.353515625,16087.353515625,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:59,0.5.2
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kto_loss,huggingface,full,memory,MB,B,Batch Size (B),32,30147.486328125,30147.486328125,30147.486328125,"{""T"": 512, ""H"": 1024, ""V"": 128256, ""mode"": ""forward"", ""dtype"": ""torch.bfloat16"", ""bias"": true, ""beta"": 0.1, ""ignore_index"": 42}",NVIDIA A100-SXM4-80GB,2024-12-23 23:34:59,0.5.2

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