[Relax][BlockBuilder] Use PrimValue to provide tir_vars #17087
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Prior to this commit, if a TIR variable was required to compute the output of `BlockBuilder.call_te`, but that TIR variable could not be inferred from the shape of any tensor arguments, it would be provided in an optional `tir_vars` argument to `R.call_tir`. In C++, this would be then be accessed as an optional `call->args[2].as<ShapeExprNode>()`. This extra argument can cause unexpected bugs. For example, `RewriteDataflowReshape` identifies the output buffer using `prim_func->buffer_map.Get(prim_func->params.back())`, which is only correct if `tir_vars` is empty. Rather than fixing these issues as they come up, it would be better to make the general Relax guarantees stronger by removing the `tir_vars` argument altogether. Use of extra `R.shape` parameter to specify additional `tir_vars` predates the existence of `relax::PrimValue`, and is no longer required. This commit updates `BlockBuilder.call_te` to use additional `relax.PrimValue` arguments to handle symbolic values that cannot be inferred from tensor shapes, rather than `tir_vars`.
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Prior to this commit, if a TIR variable was required to compute the output of
BlockBuilder.call_te, but that TIR variable could not be inferred from the shape of any tensor arguments, it would be provided in an optionaltir_varsargument toR.call_tir. In C++, this would be then be accessed as an optionalcall->args[2].as<ShapeExprNode>().This extra argument can cause unexpected bugs. For example, the bug that was fixed in #17086 was caused by
RewriteDataflowReshapeidentifying the output buffer usingprim_func->buffer_map.Get(prim_func->params.back()), which is only correct iftir_varsis empty. Rather than fixing these issues as they come up, it would be better to make the general Relax guarantees stronger by removing thetir_varsargument altogether.Use of extra
R.shapeparameter to specify additionaltir_varspredates the existence ofrelax::PrimValue, and is no longer required. This commit updatesBlockBuilder.call_teto use additionalrelax.PrimValuearguments to handle symbolic values that cannot be inferred from tensor shapes, rather thantir_vars.