[Relax][Bugfix] Infer TIR values from shapes inside a tuple #17312
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If a Relax function contains an `R.match_cast` that defines a symbolic shape, and the value provided to the `R.match_cast` has a known static shape, the `relax.transform.CanoncalizeBindings()` pass can in-line the known static shape. However, while these known TIR values were only collected if the expression used in `R.match_cast` was a `R.Tensor`, `R.Shape`, and `R.Prim` (Relax types which may contain symbolic TIR values), they were not collected if the `R.match_cast` expression was a `R.Tuple`. For example, while using `R.match_cast` to convert from `R.Tensor([16])` to `R.Tensor([batch_size])` would identify that `batch_size` must be `16`, using `R.match_cast` to convert from `R.Tuple(R.Tensor([16]))` to `R.Tuple(R.Tensor([batch_size]))` would not. This commit updates the `InferSymbolicVarMap` to collect all symbolic shapes, even if they occur within a `R.Tuple`.
vinx13
approved these changes
Aug 28, 2024
Lunderberg
deleted the
relax_bugfix_infer_tir_values_from_shape_inside_tuple
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If a Relax function contains an
R.match_castthat defines a symbolic shape, and the value provided to theR.match_casthas a known static shape, therelax.transform.CanoncalizeBindings()pass can in-line the known static shape. However, while these known TIR values were only collected if the expression used inR.match_castwas aR.Tensor,R.Shape, andR.Prim(Relax types which may contain symbolic TIR values), they were not collected if theR.match_castexpression was aR.Tuple.For example, while using
R.match_castto convert fromR.Tensor([16])toR.Tensor([batch_size])would identify thatbatch_sizemust be16, usingR.match_castto convert fromR.Tuple(R.Tensor([16]))toR.Tuple(R.Tensor([batch_size]))would not.This commit updates the
InferSymbolicVarMapto collect all symbolic shapes, even if they occur within aR.Tuple.