Add torchao to PT2 Benchmark Runner #2268
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This pull request was exported from Phabricator. Differential Revision: D57463273 |
xuzhao9
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May 16, 2024
Summary: Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Reviewed By: jerryzh168 Differential Revision: D57463273
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This pull request was exported from Phabricator. Differential Revision: D57463273 |
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May 16, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 16, 2024
Summary: X-link: pytorch/pytorch#126469 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 16, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
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This pull request was exported from Phabricator. Differential Revision: D57463273 |
xuzhao9
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May 16, 2024
Summary: X-link: pytorch/pytorch#126469 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 16, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
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This pull request was exported from Phabricator. Differential Revision: D57463273 |
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May 16, 2024
xuzhao9
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May 17, 2024
Summary: X-link: pytorch/pytorch#126469 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 17, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 17, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 17, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 17, 2024
Summary: X-link: pytorch/pytorch#126469 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Reviewed By: jerryzh168 Differential Revision: D57463273
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May 18, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 18, 2024
Summary: X-link: pytorch/pytorch#126469 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 18, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
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This pull request was exported from Phabricator. Differential Revision: D57463273 |
xuzhao9
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May 18, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
Summary: X-link: pytorch/pytorch#126469 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 18, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
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This pull request was exported from Phabricator. Differential Revision: D57463273 |
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May 18, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273
xuzhao9
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May 19, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Differential Revision: D57463273 Pulled By: xuzhao9
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Summary: X-link: #2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. X-link: pytorch/pytorch#126469 Reviewed By: jerryzh168 Differential Revision: D57463273 Pulled By: xuzhao9 fbshipit-source-id: 64520f18b63107ce5f07447ef7f4a8c841d9ff1f
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May 20, 2024
Summary: X-link: pytorch/benchmark#2268 Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline. Test Plan: ``` $ buck2 run mode/opt //caffe2/benchmarks/dynamo:torchbench -- --only BERT_pytorch --bfloat16 --quantization int8dynamic --performance --inference --print-memory loading model: 0it [00:50, ?it/s] cuda eval BERT_pytorch memory: eager: 0.75 GB, dynamo: 0.75 GB, ratio: 1.00 running benchmark: 100% 1.003x ``` Reviewed By: jerryzh168 Differential Revision: D57463273 Pull Request resolved: #126469 Approved by: https://github.com/huydhn
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Summary: Support torchao performance and accuracy tests in PT2 Benchmark Runner, using the inductor backend as the baseline.
Reviewed By: jerryzh168
Differential Revision: D57463273