[TIR] Legalize dtype of constants in IndexMap

src/tir/schedule/primitive/layout_transformation.cc

@@ -1095,8 +1095,17 @@ IndexMap LegalizeIndexMapDType(const IndexMap& index_map, const Array<PrimExpr>&
 
   Array<Var> initial_indices;
   Map<Var, PrimExpr> var_map;
+  std::optional<DataType> index_dtype = std::nullopt;
 
   for (size_t i = 0; i < args.size(); ++i) {
+    if (index_dtype.has_value()) {
+      ICHECK_EQ(*index_dtype, args[i]->dtype)
+          << "Buffer index " << args[i] << " has dtype " << args[i]->dtype
+          << ", but previous index for the same buffer access used index type " << *index_dtype;
+    } else {
+      index_dtype = args[i]->dtype;
+    }
+
     if (args[i]->dtype != initial_indices_orig[i].dtype()) {
       auto new_idx = Var(initial_indices_orig[i]->name_hint, args[i]->dtype);
       initial_indices.push_back(new_idx);
@@ -1108,8 +1117,13 @@ IndexMap LegalizeIndexMapDType(const IndexMap& index_map, const Array<PrimExpr>&
 
   if (!var_map.empty()) {
     auto final_indices = index_map->final_indices.Map([&](PrimExpr index) {
-      return SubstituteWithDataTypeLegalization(index,
-                                                [&](const Var& var) { return var_map.Get(var); });
+      if (auto* ptr = index.as<IntImmNode>()) {
+        ICHECK(index_dtype.has_value());
+        return tir::make_const(*index_dtype, ptr->value);
+      } else {
+        return SubstituteWithDataTypeLegalization(index,
+                                                  [&](const Var& var) { return var_map.Get(var); });
+      }
     });
     Optional<IndexMap> opt_inverse_index_map =
         Downcast<Optional<IndexMap>>(index_map->inverse_index_map);

tests/python/unittest/test_tir_schedule_transform_layout.py

@@ -1049,5 +1049,41 @@ def func(A: T.Buffer(T.int64(58), "int32")):
     )
 
 
+def test_index_map_dtype_legalize_with_constant():
+    """Legalization of inverse containing a constant output
+
+    The index map `lambda i,j: [i, j//8, j % 8]` has an inverse `lambda i,j,k: [i, 8*j+k]`.
+    """
+
+    @T.prim_func
+    def func(A: T.Buffer(T.int64(16), "int32")):
+        for i in T.grid(T.int64(16)):
+            with T.block("block"):
+                vi = T.axis.remap("S", [i])
+                A[vi] = 0
+
+    sch = tir.Schedule(func)
+
+    # Triggering the error requires an IndexMap that introduces padding
+    func = lambda i: [
+        # And a constant to be one of the output indices.
+        tir.const(0, i.dtype),
+        (i + 1) // 8,
+        (i + 1) % 8,
+    ]
+
+    # Previously, the legalization was only handled by propagating the
+    # dtype of the indices to the transformed indices.  As a result,
+    # output indices whose value did not depend on the input index
+    # would be left with the incorrect dtype.
+
+    # Prior to the bugfix, this resulted in the following error is
+    # raised from the IterVar constructor.
+    #
+    # TVMError: Check failed: dom->extent.dtype() == var.dtype() (int64 vs. int32) :
+    # The dtype of the extent of an IterVar (int64) must match its associated Var's dtype (int32)
+    sch.transform_layout(block="block", buffer="A", index_map=func, pad_value=0)
+
+
 if __name__ == "__main__":
     tvm.testing.main()