feat: shape-agnostic graph with DimExpr (#651)#653
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- Extract inline tests from dim_expr.rs to tests/dim_expr_tests.rs - Add # Panics documentation to DimExpr::eval - Document const_dim limitation in linalg AD rules - Add graph reuse test for reshape_sym with different input shapes Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add tests for Sub, Div, usize-lhs operators, and min/max methods to bring sym_dim.rs coverage above 80%. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
Vec<usize>shape fields inStdTensorOptoVec<DimExpr>, enabling graph reuse across varying tensor sizes (e.g., bond dimension changes in DMRG/ALS)DimExprtype witheval,remap,input_shape, and arithmetic helpersSymDimuser-facing API with operator overloading (sym_size,reshape_sym)TracedTensor.shapetoTracedTensor.rank(rank-only tracking at trace time)DimExpr::remap_allfor backward opsresolve_tensor_shape_exprsKnown Limitations
const_dim) require concreteDimExpr::Constvalues; symbolicInputDimwill panic (documented)shape_hintretained inTracedTensorfor broadcast/linalg trace-time shape computationTest plan
cargo test --workspace --release)DimExprunit tests (eval, remap, input_shape, hash/eq)SymDimintegration tests (sym_size, reshape_sym, mixed arithmetic)cargo fmt --all --checkcargo doc --workspace --no-depsCloses #651
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