Felix Marty
commited on
Commit
·
e85a888
1
Parent(s):
5912477
adding dana data for commit 946bac798caefada3f5f1c9fecdcfd587ed24ac7
Browse files- dana/configs/db/Inference/infos/benchmarks.series.json +1 -1
- dana/configs/db/Inference/infos/benchmarks.statusSeries.json +1 -0
- 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 -0
- 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":{"error":"Unable to find first average","lastBuildId":
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{"llama_1gpu_0_forward_latency_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"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":{"error":"Unable to find first average","lastBuildId":14055},"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":{"error":"Unable to find first average","lastBuildId":14055},"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_throughput_tokens_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"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_1_forward_latency_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_1_forward_throughput_samples_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_1_generate_latency_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_1_generate_throughput_tokens_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 1\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_2_forward_latency_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_2_forward_throughput_samples_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_2_generate_latency_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_2_generate_throughput_tokens_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float16\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_3_forward_latency_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_3_forward_throughput_samples_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_3_generate_latency_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"},"llama_1gpu_3_generate_throughput_tokens_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\nbenchmark.input_shapes.batch_size: 16\nbackend.torch_dtype: float32\nbenchmark.input_shapes.sequence_length: 200\nbenchmark.new_tokens: 200","state":"similarNeedstriage"}}
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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":1695816293533}}
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dana/configs/db/Inference/infos/builds.json
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{"14054":{"buildId":14054,"infos":{"hash":"153755ee386ac73e04814a94337abcb1208ff5d1","abbrevHash":"153755ee","authorName":"Younes Belkada","authorEmail":"49240599+younesbelkada@users.noreply.github.com","subject":"[`FA` / `tests`] Add use_cache tests for FA models (#26415)","url":null}}}
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{"14054":{"buildId":14054,"infos":{"hash":"153755ee386ac73e04814a94337abcb1208ff5d1","abbrevHash":"153755ee","authorName":"Younes Belkada","authorEmail":"49240599+younesbelkada@users.noreply.github.com","subject":"[`FA` / `tests`] Add use_cache tests for FA models (#26415)","url":null}},"14055":{"buildId":14055,"infos":{"hash":"946bac798caefada3f5f1c9fecdcfd587ed24ac7","abbrevHash":"946bac79","authorName":"statelesshz","authorEmail":"hzji210@gmail.com","subject":"add bf16 mixed precision support for NPU (#26163)","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":{"14054":0.00239},"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":{"14054":0.00239,"14055":0.00312},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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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":{"14054":418},"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":{"14054":418,"14055":321},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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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":{"14054":0.491},"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":{"14054":0.491,"14055":0.639},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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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":{"14054":407},"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":{"14054":407,"14055":313},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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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":{"14054":0.00328},"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":{"14054":0.00328,"14055":0.00332},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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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":{"14054":305},"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":{"14054":305,"14055":301},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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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":{"14054":0.53},"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":{"14054":0.53,"14055":0.537},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_1_generat/e_throughp/ut_tokens_/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":{"14054":377},"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":{"14054":377,"14055":372},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_2_forward/_latency_s/_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.0041},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.0041,"14055":0.00487},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_2_forward/_throughpu/t_samples_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":3900},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":3900,"14055":3290},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_2_generat/e_latency_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.655},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.655,"14055":0.765},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_2_generat/e_throughp/ut_tokens_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":4890},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":4890,"14055":4180},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_3_forward/_latency_s/_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.00457},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.00457,"14055":0.00609},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_3_forward/_throughpu/t_samples_/s_.json
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":3500},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":3500,"14055":2630},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_3_generat/e_latency_/s_.json
CHANGED
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@@ -1 +1 @@
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| 1 |
-
{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.539},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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| 1 |
+
{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":0.539,"14055":0.822},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Inference/series/llama_1gpu/_3_generat/e_throughp/ut_tokens_/s_.json
CHANGED
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@@ -1 +1 @@
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| 1 |
-
{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":5940},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
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| 1 |
+
{"projectId":"Inference","description":"\nbenchmark.input_shapes.batch_size: 16\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":{"14054":5940,"14055":3890},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
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dana/configs/db/Training/infos/benchmarks.series.json
CHANGED
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@@ -1 +1 @@
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| 1 |
-
{"bert_1gpu_0_training_runtime_s_":{"status":{"error":"Unable to find first average","lastBuildId":
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| 1 |
+
{"bert_1gpu_0_training_runtime_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float16\nbenchmark.dataset_shapes.sequence_length: 256","state":"similarNeedstriage"},"bert_1gpu_0_training_throughput_samples_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float16\nbenchmark.dataset_shapes.sequence_length: 256","state":"similarNeedstriage"},"bert_1gpu_1_training_runtime_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float32\nbenchmark.dataset_shapes.sequence_length: 256","state":"similarNeedstriage"},"bert_1gpu_1_training_throughput_samples_s_":{"status":{"error":"Unable to find first average","lastBuildId":14055},"description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float32\nbenchmark.dataset_shapes.sequence_length: 256","state":"similarNeedstriage"}}
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dana/configs/db/Training/infos/benchmarks.statusSeries.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"0":{"numSeries":4,"numSeriesSimilar":0,"numSeriesImproved":0,"numSeriesRegression":0,"numSeriesUndefined":4,"time":1695816293579}}
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dana/configs/db/Training/infos/builds.json
CHANGED
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@@ -1 +1 @@
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| 1 |
-
{"14054":{"buildId":14054,"infos":{"hash":"153755ee386ac73e04814a94337abcb1208ff5d1","abbrevHash":"153755ee","authorName":"Younes Belkada","authorEmail":"49240599+younesbelkada@users.noreply.github.com","subject":"[`FA` / `tests`] Add use_cache tests for FA models (#26415)","url":null}}}
|
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| 1 |
+
{"14054":{"buildId":14054,"infos":{"hash":"153755ee386ac73e04814a94337abcb1208ff5d1","abbrevHash":"153755ee","authorName":"Younes Belkada","authorEmail":"49240599+younesbelkada@users.noreply.github.com","subject":"[`FA` / `tests`] Add use_cache tests for FA models (#26415)","url":null}},"14055":{"buildId":14055,"infos":{"hash":"946bac798caefada3f5f1c9fecdcfd587ed24ac7","abbrevHash":"946bac79","authorName":"statelesshz","authorEmail":"hzji210@gmail.com","subject":"add bf16 mixed precision support for NPU (#26163)","url":null}}}
|
dana/configs/db/Training/series/bert_1gpu_/0_training/_runtime_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: float16\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14054":37.33880257606506},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
|
|
|
|
| 1 |
+
{"projectId":"Training","description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float16\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14054":37.33880257606506,"14055":32.68557357788086},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
|
dana/configs/db/Training/series/bert_1gpu_/0_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: float16\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14054":86.55874792492082},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
|
|
|
|
| 1 |
+
{"projectId":"Training","description":"\n+benchmark.training_arguments.per_device_train_batch_size: None\nbackend.torch_dtype: float16\nbenchmark.dataset_shapes.sequence_length: 256","analyse":{"benchmark":{"range":"10%","required":5,"trend":"smaller"}},"assignee":{"compares":{}},"samples":{"14054":86.55874792492082,"14055":98.88154455356337},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
|
dana/configs/db/Training/series/bert_1gpu_/1_training/_runtime_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":{"14054":13.53417706489563},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
|
|
|
|
| 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":{"14054":13.53417706489563,"14055":13.473761320114136},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
|
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":{"14054":238.802845899144},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"
|
|
|
|
| 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":{"14054":238.802845899144,"14055":239.87362720869555},"state":{"analyse":"similarNeedstriage","compares":{}},"lastBuildId":"14055","analyseResult":{"summary":{"error":"Unable to find first average","lastBuildId":14055}}}
|
dana/configs/db/admin/globalStats.json
CHANGED
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@@ -1 +1 @@
|
|
| 1 |
-
{"numSamples":
|
|
|
|
| 1 |
+
{"numSamples":40,"numSeries":20,"projects":{"Inference":{"numSamples":32,"numSeries":16},"Training":{"numSamples":8,"numSeries":4}}}
|