Related Issues (20)
- [PT-Inductor:GPU] Out of memory on BERT_LARGE FP32 with large batch sizes HOT 1
- [PT-Inductor:GPU] Models failed with `quantile() input tensor must be either float or double dtype`
- [Goal] Document process to onboard models and benchmarks
- [Doc] Document e2e process to onboard PT benchmarks HOT 1
- [Ergonomic] Simplify test data definition process
- [Ergonomic] Local run of framework benchmark should be possible without uploading any artifacts
- [Ergonomic] Reduce name copies in model definitions HOT 1
- Evaluate if we want to move to BuildKit for automatic Docker image handling HOT 1
- [Doc] Document what exported models are generated for what models
- Automate artifact generation in CI
- Incompatible version between JAX and transformers HOT 1
- Imcompatible version between tensorflow and iree-import-tf HOT 1
- [XLA-HLO:GPU] Type errors on BERT_LARGE_FP16_JAX_* models
- [JAX] Unable to generate artifacts for BertLarge batch >= 1024
- [PyTorch] Unable to generate large batch size PyTorch FP16 models.
- [Tracking Bug] List of disabled workloads. HOT 1
- Update JAX/IREE benchmarks to point to the right repo
- Output 0 exceeds tolerance?
- SD_PIPELINE_FP16_JAX benchmark executes in FP32
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