GPUMODE/backendbench_tests
TorchBench The TorchBench suite of BackendBench is designed to mimic real-world use cases. It provides operators and inputs derived from 155 model traces found in TIMM (67), Hugging Face Transformers (45), and TorchBench (43). (These are also the models PyTorch developers use to validate performance.) You can view the origin of these traces by switching the subset in the dataset viewer to ops_traces_models and torchbench for the full dataset. When running BackendBench, much of… See the full description on the dataset page: https://huggingface.co/datasets/GPUMODE/backendbench_tests.
| Author / organization | GPUMODE |
|---|---|
| Downloads | 897 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 10 July 2025 |
| Last updated at source | 5 September 2025 |
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- 16 Oct 2026 Description: TorchBench The TorchBench suite of BackendBench is designed to mimic real-world use cases. It provides operators and inputs derived from 155 model traces found in TIMM (67), Hugging Face Transformers (45), and TorchBench (43). (These are al → TorchBench The TorchBench suite of BackendBench is designed to mimic real-world use cases. It provides operators and inputs derived from 155 model traces found in TIMM (67), Hugging Face Transformers (45), and TorchBench (43). (These are al
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