Lossless Tensor Compression as Program Synthesis
Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly costly. General-purpose compressors can reduce storage requirements but ignore tensor structure, whereas existing tensor-specific compressors rely on fixed and format-specific pipelines. We present Brevis, which formulates lossless tensor compression as program synthesis. We design a typed domain-specific language (DSL) that captures recurring tensor structures, such as repeated regions and floating-point fields, through a set of reversible operators. Given a tensor, Brevis synthesizes a self-contained DSL program that reconstructs it bit-exactly. A checkpoint-specific produc...
| Authors | Jieke Shi, Junda He, Wenjia Jiang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 3 August 2026 |
| Last updated at source | 3 August 2026 |
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