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DCPInvariant v0.1.0

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@tiramitree tiramitree released this 27 Jul 23:52
v0.1.0
cad6b94

DCPInvariant v0.1.0 is an owner-operated, fixture-scoped evidence release for
PyTorch Distributed Checkpoint restart invariants.

The attached normalized evidence passes ten fixed single-host CPU/Gloo
scenarios: DDP training restart at 1-to-1, 1-to-2, 2-to-1, and 2-to-2
processes; DTensor global-tensor restore at 1-to-2 and 2-to-1 processes; and
expected rejection of a child exit, missing metadata, missing shard, and
one-byte shard corruption.

Validated runtime:

  • CPython 3.12.10
  • PyTorch 2.11.0+cpu
  • NumPy 2.4.6
  • source revision cad6b94ffe45e5a6821dba6b7a15920d3a40f283

The evidence archive contains normalized observations and no native
checkpoint payload. The wheel can verify that evidence offline without
PyTorch or NumPy installed.

This release does not establish multi-node, GPU/NCCL, FSDP, arbitrary-model,
performance, production-reliability, or hostile-checkpoint claims. It has no
verified external users, independent reproduction, third-party review,
production deployment, or recruiting outcome.

Assets 6
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