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OutisLi
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dpmd-public
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fix(pt): harden DPA4 calibration and filtered training
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#179:
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fb3f3ac
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fix(lmdb): advance sampler state between epochs
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#178:
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fix(pt_expt): enforce torch.compile version gate
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fix(pt_expt): distinguish raw checkpoint backends by weights
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fix(pt): share direct descriptor parameters across tasks
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#175:
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refactor(dpa4): unify inner potential naming
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fix(lmdb): harden schedule and decoder edge cases
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Merge remote-tracking branch 'upstream/master' into pr/disp
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fix(train): enforce statistics input invariants
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fix(lmdb): make batch loader a finite iterable
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fix(pt): recognize pt_expt bias names in HybridMuon
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fix(pt_expt): preserve native-spin graph checkpoint ABI
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fix(dpa1): harden and split compressed CUDA kernels
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#167:
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master
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fix(pt): harden stat filtering and compile coverage
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#165:
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feat(pt_expt): derive the run length from training epochs
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#164:
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feat(pt_expt): add HybridMuon and shared compile safeguards
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#163:
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54m 30s
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perf(pt_expt): auto-select scalable graph builders
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#162:
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34m 19s
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34m 19s
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feat(dpa1): add compressible l=2 moments across PT backends
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#161:
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23m 41s
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pr/dpa1
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feat(pt): allow torch.compile on PyTorch 2.13
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#160:
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23m 14s
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perf(lmdb): parallelize batch decoding across PT backends
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#159:
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outisli
outisli
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perf(pt_expt): auto-select scalable graph builders
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CodeQL
#157:
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fix(pt_expt): preserve graph routing for raw checkpoints
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feat(dpa1): add compressible l=2 moments across PT backends
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#155:
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28m 16s
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