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setup-enformer_deepmind-remote-tool

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Set up, launch, validate, and troubleshoot the official DeepMind Enformer (TF-Hub SavedModel) genomic track prediction ToolUniverse remote tool and optionally relay it through ToolUniverse Connect. Use when deploying or auditing this implementation.

skills/setup-enformer_deepmind-remote-tool/SKILL.md

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Nov 9, 2026

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# Set up the official DeepMind Enformer as a remote tool

> Validation status (2026-10-14): the official TF-Hub SavedModel
> `deepmind/enformer/1` ran on the NVIDIA GB10 host (aarch64, 20 cores,
> 121.6 GiB unified memory, cc 12.1, driver 580.173.02) **on the CPU**, under kit
> mode `off`. **This provider's lock has no deviation at all, a first on this
> standard:** 41 of the kit's 53 pins are installed at exactly their pinned
> version, and the other 12 are `nvidia-*-cu12` CUDA runtime wheels that a CPU
> TensorFlow loads none of. All three weight files match the kit's
> `stock/PINS.json` by size and sha256. **`[gpu] policy = "none"` is a
> measurement, not a preference:** `tf.test.is_built_with_cuda()` is False and
> `tf.config.list_physical_devices('GPU')` is empty, because TensorFlow
> publishes no GPU-capable aarch64 wheel at any version. One 393,216-base window
> costs ~200 s, and **residency buys almost nothing** — two consecutive