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Add PyTorch support to TPU Raiden H2D/D2H presubmit performance gate for GitHub Actions. - #925
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…for GitHub Actions. - Decouple `perf_core.py` under function `measure(...)` supporting both `framework="jax"` and `framework="torch"`. - Add PyTorch SPMD multi-processing transfer execution (`_torch_worker_fn`) with safe library preloading via `torch_tpu_common_loader`. - Update `h2d_d2h_benchmark_gating.py` with `--framework=jax|torch|all`. - Split the floors per framework into `h2d_d2h_gating_jax_baselines.json` and `h2d_d2h_gating_torch_baselines.json`. - Populate `h2d_d2h_gating_torch_baselines.json` with verified physical TPU v5e-8 (8-chip 2x4 mesh) baselines and statistical floors (1000 iterations). - Update `benchmark_registry.pbtxt` to define symmetrical JAX and PyTorch metrics for GitHub Actions / MLCompass. PiperOrigin-RevId: 999818997
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Add PyTorch support to TPU Raiden H2D/D2H presubmit performance gate for GitHub Actions.
perf_core.pyunder functionmeasure(...)supporting bothframework="jax"andframework="torch"._torch_worker_fn) with safe library preloading viatorch_tpu_common_loader.h2d_d2h_benchmark_gating.pywith--framework=jax|torch|all.h2d_d2h_gating_jax_baselines.jsonandh2d_d2h_gating_torch_baselines.json.h2d_d2h_gating_torch_baselines.jsonwith verified physical TPU v5e-8 (8-chip 2x4 mesh) baselines and statistical floors (1000 iterations).benchmark_registry.pbtxtto define symmetrical JAX and PyTorch metrics for GitHub Actions / MLCompass.