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deepmodeling / deepmd-kit Public

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feat(tf2): add training workflow#5735

Merged

wanghan-iapcm merged 14 commits into

deepmodeling:masterdeepmodeling/deepmd-kit:masterfrom

njzjz:feat/tf2-train-currentnjzjz/deepmd-kit:feat/tf2-train-currentCopy head branch name to clipboard

Jul 6, 2026

Conversation Commits14 (14)Checks Files changed

Merged

feat(tf2): add training workflow#5735
wanghan-iapcm merged 14 commits into
deepmodeling:masterfrom
njzjz:feat/tf2-train-current

Commits

Commits on Jul 4, 2026

feat(tf2): add training workflow
njzjz
committed
perf(tf2): reuse atomic forward during training
njzjz
committed
perf(tf2): avoid tensorboard scalar host sync
njzjz
committed
perf(tf2): reduce training graph overhead
njzjz
committed

Commits on Jul 5, 2026

fix(tf2): keep atomic virial disabled in training
njzjz
committed
perf(tf2): jit lower forward with DP_JIT
njzjz
committed
feat(tf2): support training compile option
njzjz
committed
fix(tf2): address training review comments
njzjz
committed
perf(tf2): compile prepared energy train step
njzjz
committed
fix(tf2): enable compiled step for all outputs
njzjz
committed
fix(tf2): avoid lower derivative kwarg mismatch
njzjz
committed
fix(tf2): reject empty checkpoint directories
njzjz
committed
fix(ci): preload paddle before tf in pytest
njzjz
committed
test(tf2): avoid tensorboard dependency in summary test
njzjz
committed

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