Felix Marty
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86506f6
adding dana data for commit 408b2b3c5057b275855ae4c43c452a7f0b37aa45
Browse files- dana/configs/db/Inference/infos/benchmarks.series.json +1 -1
- dana/configs/db/Inference/infos/benchmarks.statusSeries.json +1 -1
- dana/configs/db/Inference/infos/builds.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_0_forward/_latency_s/_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_0_forward/_throughpu/t_samples_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_0_generat/e_latency_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_0_generat/e_throughp/ut_tokens_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_1_forward/_latency_s/_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_1_forward/_throughpu/t_samples_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_1_generat/e_latency_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_1_generat/e_throughp/ut_tokens_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_2_forward/_latency_s/_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_2_forward/_throughpu/t_samples_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_2_generat/e_latency_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_2_generat/e_throughp/ut_tokens_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_3_forward/_latency_s/_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_3_forward/_throughpu/t_samples_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_3_generat/e_latency_/s_.json +1 -1
- dana/configs/db/Inference/series/llama_1gpu/_3_generat/e_throughp/ut_tokens_/s_.json +1 -1
- dana/configs/db/Training/infos/benchmarks.series.json +1 -1
- dana/configs/db/Training/infos/benchmarks.statusSeries.json +1 -1
- dana/configs/db/Training/infos/builds.json +1 -1
- dana/configs/db/Training/series/bert_1gpu_/0_training/_runtime_s/_.json +1 -1
- dana/configs/db/Training/series/bert_1gpu_/0_training/_throughpu/t_samples_/s_.json +1 -1
- dana/configs/db/Training/series/bert_1gpu_/1_training/_runtime_s/_.json +1 -1
- dana/configs/db/Training/series/bert_1gpu_/1_training/_throughpu/t_samples_/s_.json +1 -1
- dana/configs/db/admin/globalStats.json +1 -1
dana/configs/db/Inference/infos/benchmarks.series.json
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{"llama_1gpu_0_forward_latency_s_":{"status":{"
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{"llama_1gpu_0_forward_latency_s_":{"status":{"lastBuildId":14050,"status":"similar","current":{"average":0.11420000000000001,"ratio":0,"diff":0},"base":{"average":0.11420000000000001}},"description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_0_forward_throughput_samples_s_":{"status":{"lastBuildId":14050,"status":"similar","current":{"average":8.756,"ratio":0,"diff":0},"base":{"average":8.756}},"description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_0_generate_latency_s_":{"status":{"lastBuildId":14050,"status":"similar","current":{"average":9.331999999999999,"ratio":0,"diff":0},"base":{"average":9.331999999999999}},"description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: 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dana/configs/db/Inference/infos/benchmarks.statusSeries.json
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{"0":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819012264},"1":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819336570},"2":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819668430}}
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{"0":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819012264},"1":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819336570},"2":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819668430},"3":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819979422}}
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dana/configs/db/Inference/infos/builds.json
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{"14046":{"buildId":14046,"infos":{"hash":"a8531f3bfd3c1dd63392c8c0c470c6744c8969ae","abbrevHash":"a8531f3b","authorName":"titi","authorEmail":"66329321+titi-devv@users.noreply.github.com","subject":"Deleted duplicate sentence (#26394)","url":null}},"14047":{"buildId":14047,"infos":{"hash":"6ce6a5adb9ffc071ffe97ee7a7736a120af3d22c","abbrevHash":"6ce6a5ad","authorName":"sanjeevk-os","authorEmail":"73068589+sanjeevk-os@users.noreply.github.com","subject":"added support for gradient checkpointing in ESM models (#26386)","url":null}},"14048":{"buildId":14048,"infos":{"hash":"0ac3875011d32dc85e0e83970507e3afe8f0febb","abbrevHash":"0ac38750","authorName":"Hugo Laurençon","authorEmail":"44556846+HugoLaurencon@users.noreply.github.com","subject":"Fix DeepSpeed issue with Idefics (#26393)","url":null}},"14049":{"buildId":14049,"infos":{"hash":"6ba63ac3a061c70665e6bccf6b25700ede09cf21","abbrevHash":"6ba63ac3","authorName":"Matt","authorEmail":"Rocketknight1@users.noreply.github.com","subject":"[InternLM] Add support for InternLM (#26302)","url":null}}}
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{"14046":{"buildId":14046,"infos":{"hash":"a8531f3bfd3c1dd63392c8c0c470c6744c8969ae","abbrevHash":"a8531f3b","authorName":"titi","authorEmail":"66329321+titi-devv@users.noreply.github.com","subject":"Deleted duplicate sentence (#26394)","url":null}},"14047":{"buildId":14047,"infos":{"hash":"6ce6a5adb9ffc071ffe97ee7a7736a120af3d22c","abbrevHash":"6ce6a5ad","authorName":"sanjeevk-os","authorEmail":"73068589+sanjeevk-os@users.noreply.github.com","subject":"added support for gradient checkpointing in ESM models (#26386)","url":null}},"14048":{"buildId":14048,"infos":{"hash":"0ac3875011d32dc85e0e83970507e3afe8f0febb","abbrevHash":"0ac38750","authorName":"Hugo Laurençon","authorEmail":"44556846+HugoLaurencon@users.noreply.github.com","subject":"Fix DeepSpeed issue with Idefics (#26393)","url":null}},"14049":{"buildId":14049,"infos":{"hash":"6ba63ac3a061c70665e6bccf6b25700ede09cf21","abbrevHash":"6ba63ac3","authorName":"Matt","authorEmail":"Rocketknight1@users.noreply.github.com","subject":"[InternLM] Add support for InternLM (#26302)","url":null}},"14050":{"buildId":14050,"infos":{"hash":"408b2b3c5057b275855ae4c43c452a7f0b37aa45","abbrevHash":"408b2b3c","authorName":"Nathan Lambert","authorEmail":"nato.lambert@gmail.com","subject":"Add torch `RMSProp` optimizer (#26425)","url":null}}}
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dana/configs/db/Inference/series/llama_1gpu/_0_forward/_latency_s/_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":0.114,"14047":0.114,"14048":0.114,"14049":0.115},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":0.114,"14047":0.114,"14048":0.114,"14049":0.115,"14050":0.114},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":0.11420000000000001,"ratio":0,"diff":0},"base":{"average":0.11420000000000001}},"averages":[{"start":0,"end":4,"length":5,"average":0.11420000000000001,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/Inference/series/llama_1gpu/_0_forward/_throughpu/t_samples_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":8.77,"14047":8.77,"14048":8.77,"14049":8.7},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":8.77,"14047":8.77,"14048":8.77,"14049":8.7,"14050":8.77},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":8.756,"ratio":0,"diff":0},"base":{"average":8.756}},"averages":[{"start":0,"end":4,"length":5,"average":8.756,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/Inference/series/llama_1gpu/_0_generat/e_latency_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":9.29,"14047":9.34,"14048":9.34,"14049":9.36},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":9.29,"14047":9.34,"14048":9.34,"14049":9.36,"14050":9.33},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":9.331999999999999,"ratio":0,"diff":0},"base":{"average":9.331999999999999}},"averages":[{"start":0,"end":4,"length":5,"average":9.331999999999999,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/Inference/series/llama_1gpu/_0_generat/e_throughp/ut_tokens_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":21.5,"14047":21.4,"14048":21.4,"14049":21.4},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":21.5,"14047":21.4,"14048":21.4,"14049":21.4,"14050":21.4},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":21.419999999999998,"ratio":0,"diff":0},"base":{"average":21.419999999999998}},"averages":[{"start":0,"end":4,"length":5,"average":21.419999999999998,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/Inference/series/llama_1gpu/_1_forward/_latency_s/_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":0.0664,"14047":0.0669,"14048":0.0668,"14049":0.067},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":0.0664,"14047":0.0669,"14048":0.0668,"14049":0.067,"14050":0.0668},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":0.06677999999999999,"ratio":0,"diff":0},"base":{"average":0.06677999999999999}},"averages":[{"start":0,"end":4,"length":5,"average":0.06677999999999999,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/Inference/series/llama_1gpu/_1_forward/_throughpu/t_samples_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":15.1,"14047":14.9,"14048":15,"14049":14.9},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":15.1,"14047":14.9,"14048":15,"14049":14.9,"14050":15},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":14.98,"ratio":0,"diff":0},"base":{"average":14.98}},"averages":[{"start":0,"end":4,"length":5,"average":14.98,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/Inference/series/llama_1gpu/_1_generat/e_latency_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":4.97,"14047":4.94,"14048":5.01,"14049":5.01},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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dana/configs/db/Inference/series/llama_1gpu/_1_generat/e_throughp/ut_tokens_/s_.json
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dana/configs/db/Inference/series/llama_1gpu/_2_forward/_latency_s/_.json
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dana/configs/db/Inference/series/llama_1gpu/_2_forward/_throughpu/t_samples_/s_.json
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dana/configs/db/Inference/series/llama_1gpu/_2_generat/e_latency_/s_.json
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dana/configs/db/Inference/series/llama_1gpu/_2_generat/e_throughp/ut_tokens_/s_.json
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dana/configs/db/Inference/series/llama_1gpu/_3_forward/_latency_s/_.json
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dana/configs/db/Inference/series/llama_1gpu/_3_forward/_throughpu/t_samples_/s_.json
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dana/configs/db/Inference/series/llama_1gpu/_3_generat/e_latency_/s_.json
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dana/configs/db/Inference/series/llama_1gpu/_3_generat/e_throughp/ut_tokens_/s_.json
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dana/configs/db/Training/infos/benchmarks.series.json
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dana/configs/db/Training/infos/benchmarks.statusSeries.json
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dana/configs/db/Training/infos/builds.json
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dana/configs/db/Training/series/bert_1gpu_/0_training/_runtime_s/_.json
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dana/configs/db/Training/series/bert_1gpu_/0_training/_throughpu/t_samples_/s_.json
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dana/configs/db/Training/series/bert_1gpu_/1_training/_runtime_s/_.json
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{"projectId":"Training","description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float32\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":11.04753828048706,"14047":11.053146839141846,"14048":11.03489089012146,"14049":11.023946046829224},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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| 1 |
+
{"projectId":"Training","description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float32\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":11.04753828048706,"14047":11.053146839141846,"14048":11.03489089012146,"14049":11.023946046829224,"14050":11.04150652885437},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":11.040205717086792,"ratio":0,"diff":0},"base":{"average":11.040205717086792}},"averages":[{"start":0,"end":4,"length":5,"average":11.040205717086792,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/Training/series/bert_1gpu_/1_training/_throughpu/t_samples_/s_.json
CHANGED
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@@ -1 +1 @@
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| 1 |
-
{"projectId":"Training","description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float32\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":292.55386294597287,"14047":292.4054160354328,"14048":292.8891669326171,"14049":293.17995446191503},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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|
| 1 |
+
{"projectId":"Training","description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float32\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14046":292.55386294597287,"14047":292.4054160354328,"14048":292.8891669326171,"14049":293.17995446191503,"14050":292.71367920255545},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14050","analyseResult":{"details":{"analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"aRange":{"up":10,"upIsValue":false,"down":-10,"downIsValue":false},"indexStart":0,"first":0},"summary":{"lastBuildId":14050,"status":"similar","current":{"average":292.7484159156987,"ratio":0,"diff":0},"base":{"average":292.7484159156987}},"averages":[{"start":0,"end":4,"length":5,"average":292.7484159156987,"ratio":0,"diff":0,"status":"similar"}]}}
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dana/configs/db/admin/globalStats.json
CHANGED
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@@ -1 +1 @@
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| 1 |
-
{"numSamples":
|
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|
|
| 1 |
+
{"numSamples":100,"numSeries":20,"projects":{"Inference":{"numSamples":80,"numSeries":16},"Training":{"numSamples":20,"numSeries":4}}}
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