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Batch Tensor Memory Budget

Inspect a fixed-shape linear tensor-storage budget and its whole-batch limit with explicit fixed memory, element size and reserve.

Use this result well

Inputs that matter
Current batch size, Retained values per sample, Bytes per retained value, Fixed resident allocations (MiB), and 2 more
Output to expect
Modeled current total memory
  • Check the units and required inputs before comparing results.
  • Keep the assumptions with a copied result so you can reproduce the calculation later.
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Reference & details

How it works

Batch tensor storage with a fixed-memory budget

Bytes per sample = retained values per sample × bytes/value; current bytes = fixed bytes + batch × bytes/sample; modeled max batch = floor((budget − fixed − reserve)/bytes per sample) A linear tensor-storage scenario. Different dtypes require separate inventories or an equivalent explicitly calculated byte count. Attention shape changes, workspaces, padding, checkpointing and allocator behavior may not scale linearly. The maximum is a model result, not a recommended or guaranteed executable batch. Fixed allocations and reserve round up to whole bytes; available budget rounds down before computing the batch limit.

Updated: September 2026

Example Scenarios

Model a fixed number of retained values per sample, one element size, fixed allocations and an explicit reserve. Derive the whole batch limit for that linear model.

Common Mistakes to Avoid

Applying batch tensor storage with a fixed-memory budget outside its stated assumptions

Different dtypes require separate inventories or an equivalent explicitly calculated byte count. Attention shape changes, workspaces, padding, checkpointing and allocator behavior may not scale linearly. The maximum is a model result, not a recommended or guaranteed executable batch. Fixed allocations and reserve round up to whole bytes; available budget rounds down before computing the batch limit.

FAQ

Include them in fixed resident allocations when applicable.

No. Run full iterations at representative shapes and retain an explicit reserve.

About Batch Tensor Memory Budget

Inspect a fixed-shape linear tensor-storage budget and its whole-batch limit with explicit fixed memory, element size and reserve. Choose the mode that matches your measurements or study design, enter the stated units and keep the method and limits with the result.