Felix Marty
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adding dana data for commit 777f2243f56a7aa8a9ea66d330af986aa57ebd49
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":{"lastBuildId":
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{"llama_1gpu_0_forward_latency_s_":{"status":{"lastBuildId":14052,"status":"similar","current":{"average":0.11414285714285714,"ratio":0,"diff":0},"base":{"average":0.11414285714285714}},"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":14052,"status":"similar","current":{"average":8.76,"ratio":0,"diff":0},"base":{"average":8.76}},"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":14052,"status":"similar","current":{"average":9.332857142857142,"ratio":0,"diff":0},"base":{"average":9.332857142857142}},"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},"3":{"numSeries":16,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":16,"time":1695819979422},"4":{"numSeries":16,"numSeriesSimilar":16,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":0,"time":1695820299596}}
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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},"4":{"numSeries":16,"numSeriesSimilar":16,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":0,"time":1695820299596},"5":{"numSeries":16,"numSeriesSimilar":16,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":0,"time":1695820622926}}
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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}},"14050":{"buildId":14050,"infos":{"hash":"408b2b3c5057b275855ae4c43c452a7f0b37aa45","abbrevHash":"408b2b3c","authorName":"Nathan Lambert","authorEmail":"nato.lambert@gmail.com","subject":"Add torch `RMSProp` optimizer (#26425)","url":null}},"14051":{"buildId":14051,"infos":{"hash":"abd253103478b21faafb7c9a6e7a1a7d1effe757","abbrevHash":"abd25310","authorName":"Shauray Singh","authorEmail":"39147312+shauray8@users.noreply.github.com","subject":"Fix padding for IDEFICS (#26396)","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,"14050":0.114,"14051":0.114},"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,"14051":0.114,"14052":0.114},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14052","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":14052,"status":"similar","current":{"average":0.11414285714285714,"ratio":0,"diff":0},"base":{"average":0.11414285714285714}},"averages":[{"start":0,"end":6,"length":7,"average":0.11414285714285714,"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,"14050":8.77,"14051":8.77},"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,"14051":8.77,"14052":8.77},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14052","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":14052,"status":"similar","current":{"average":8.76,"ratio":0,"diff":0},"base":{"average":8.76}},"averages":[{"start":0,"end":6,"length":7,"average":8.76,"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,"14050":9.33,"14051":9.34},"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,"14051":9.34,"14052":9.33},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14052","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":14052,"status":"similar","current":{"average":9.332857142857142,"ratio":0,"diff":0},"base":{"average":9.332857142857142}},"averages":[{"start":0,"end":6,"length":7,"average":9.332857142857142,"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,"14050":21.4,"14051":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,"14051":21.4,"14052":21.4},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14052","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":14052,"status":"similar","current":{"average":21.414285714285715,"ratio":0,"diff":0},"base":{"average":21.414285714285715}},"averages":[{"start":0,"end":6,"length":7,"average":21.414285714285715,"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,"14050":0.0668,"14051":0.0667},"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,"14051":0.0667,"14052":0.0667},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14052","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":14052,"status":"similar","current":{"average":0.06675714285714285,"ratio":0,"diff":0},"base":{"average":0.06675714285714285}},"averages":[{"start":0,"end":6,"length":7,"average":0.06675714285714285,"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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dana/configs/db/Inference/series/llama_1gpu/_1_generat/e_latency_/s_.json
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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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dana/configs/db/Training/series/bert_1gpu_/1_training/_throughpu/t_samples_/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":292.55386294597287,"14047":292.4054160354328,"14048":292.8891669326171,"14049":293.17995446191503,"14050":292.71367920255545,"14051":292.7419158170753},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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dana/configs/db/admin/globalStats.json
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{"numSamples":
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{"numSamples":140,"numSeries":20,"projects":{"Inference":{"numSamples":112,"numSeries":16},"Training":{"numSamples":28,"numSeries":4}}}
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