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Archive pipeline: 104 problems (L1-L4) + LLM feedback-loop generation on T4
CPU Correctness (interpret=True)
#15:
Pull request
#3
synchronize by
Tyronita
1m 1s
archive/llm-pipeline-v2
archive/llm-pipeline-v2
1m 1s
View #3
View workflow file
Archive pipeline: 104 problems (L1-L4) + LLM feedback-loop generation on T4
CPU Correctness (interpret=True)
#14:
Pull request
#3
synchronize by
Tyronita
1m 2s
archive/llm-pipeline-v2
archive/llm-pipeline-v2
1m 2s
View #3
View workflow file
Archive pipeline: 104 problems (L1-L4) + LLM feedback-loop generation on T4
CPU Correctness (interpret=True)
#13:
Pull request
#3
synchronize by
Tyronita
1m 2s
archive/llm-pipeline-v2
archive/llm-pipeline-v2
1m 2s
View #3
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Archive pipeline: 104 problems (L1-L4) + LLM feedback-loop generation on T4
CPU Correctness (interpret=True)
#12:
Pull request
#3
opened by
Tyronita
1m 2s
archive/llm-pipeline-v2
archive/llm-pipeline-v2
1m 2s
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Add archive pipeline: SakanaAI-format T4 dataset generator (45 problems, Jaxpr IR, LLM variants)
CPU Correctness (interpret=True)
#11:
Pull request
#2
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1m 1s
archive-pipeline
archive-pipeline
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View #2
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Add archive pipeline: SakanaAI-format T4 dataset generator (45 problems, Jaxpr IR, LLM variants)
CPU Correctness (interpret=True)
#10:
Pull request
#2
opened by
Tyronita
56s
archive-pipeline
archive-pipeline
56s
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Add full Sakana-style JSONL generator and output (45 kernels, 86 fields)
CPU Correctness (interpret=True)
#9:
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master
1m 6s
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Add full Sakana-style JSONL generator and output (45 kernels, 86 fields)
CI Scorer
#6:
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5m 9s
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master
5m 9s
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Add 6 expansion plans from handoff: multi-backend, NCU, LLM pipeline,…
CPU Correctness (interpret=True)
#8:
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1m 3s
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master
1m 3s
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Add 6 expansion plans from handoff: multi-backend, NCU, LLM pipeline,…
CI Scorer
#5:
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7m 32s
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master
7m 32s
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Add GPU compilation fix, robust evaluation framework, and investigati…
CPU Correctness (interpret=True)
#7:
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1m 3s
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master
1m 3s
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Add GPU compilation fix, robust evaluation framework, and investigati…
CI Scorer
#4:
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7m 38s
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master
7m 38s
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Add GPU compilation fix, robust evaluation framework, and investigati…
GPU Performance Benchmark
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master
15s
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Disable TPU CI trigger, add Colab TPU benchmark notebook
CPU Correctness (interpret=True)
#6:
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1m 1s
master
master
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GPU Performance Benchmark
GPU Performance Benchmark
#8:
Manually run by
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1h 35m 47s
master
master
1h 35m 47s
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Fix Pallas GPU lowering by using Triton backend
CPU Correctness (interpret=True)
#5:
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15f2a66
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1m 2s
master
master
1m 2s
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GPU Performance Benchmark
GPU Performance Benchmark
#7:
Manually run by
Tyronita
2m 52s
master
master
2m 52s
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GPU Performance Benchmark
GPU Performance Benchmark
#6:
Manually run by
Tyronita
2m 5s
master
master
2m 5s
View workflow file
GPU Performance Benchmark
GPU Performance Benchmark
#5:
Manually run by
Tyronita
5s
master
master
5s
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Target GPU benchmark to A100 runner (Pallas GPU needs CC 8.0+)
CPU Correctness (interpret=True)
#4:
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fbee928
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Tyronita
1m 7s
master
master
1m 7s
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GPU Performance Benchmark
GPU Performance Benchmark
#4:
Manually run by
Tyronita
5s
master
master
5s
View workflow file
Link all provenance references to exact source files on GitHub
CPU Correctness (interpret=True)
#3:
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9cc390e
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1m 0s
master
master
1m 0s
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Link all provenance references to exact source files on GitHub
TPU Performance Benchmark
#3:
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51m 44s
master
master
51m 44s
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Link all provenance references to exact source files on GitHub
GPU Performance Benchmark
#3:
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9cc390e
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Tyronita
36m 25s
master
master
36m 25s
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Link all provenance references to exact source files on GitHub
CI Scorer
#3:
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9cc390e
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7m 1s
master
master
7m 1s
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