diff --git a/lib/Dialect/Torch/IR/TorchOps.cpp b/lib/Dialect/Torch/IR/TorchOps.cpp
index bed228671de1..e10564bbe26b 100644
--- a/lib/Dialect/Torch/IR/TorchOps.cpp
+++ b/lib/Dialect/Torch/IR/TorchOps.cpp
@@ -5405,8 +5405,11 @@ void BindSymbolicShapeOp::print(OpAsmPrinter &p) {
 }
 
 LogicalResult BindSymbolicShapeOp::verify() {
-  if (getShapeSymbols().empty())
-    return emitOpError() << "requires non-empty shapeSymbols";
+  if (getShapeSymbols().size() !=
+      getShapeExpressions().getValue().getNumSymbols())
+    return emitOpError()
+           << "requires equal number of shape symbol args and symbol args to "
+              "the attached affine map, since they are 1:1 mapped";
 
   for (auto symbol : getShapeSymbols()) {
     Operation *definingOp = symbol.getDefiningOp();
diff --git a/test/Dialect/Torch/invalid.mlir b/test/Dialect/Torch/invalid.mlir
index 5b732788faef..8f38c66ad154 100644
--- a/test/Dialect/Torch/invalid.mlir
+++ b/test/Dialect/Torch/invalid.mlir
@@ -381,13 +381,21 @@ func.func private @tensor.sparse() -> !torch.vtensor<[64,64],f32,12345>
 
 func.func @torch.symbolic_int$no_shape_symbols(%arg0: !torch.vtensor<[?],f32>) -> !torch.vtensor<[?],f32> {
   %0 = torch.symbolic_int "s0" {min_val = 3, max_val = 6} : !torch.int
-  // expected-error @+1 {{op requires non-empty shapeSymbols}}
+  // expected-error @+1 {{op requires equal number of shape symbol args and symbol args to the attached affine map, since they are 1:1 mapped}}
   torch.bind_symbolic_shape %arg0, [], affine_map<()[s0] -> (s0)> : !torch.vtensor<[?],f32>
   return %arg0 : !torch.vtensor<[?],f32>
 }
 
 // -----
 
+// Verifier should not fail here since the op does not require shapeSymbols.
+func.func @torch.symbolic_int$no_shape_symbols_no_symbols_in_map(%arg0: !torch.vtensor<[?],f32>) -> !torch.vtensor<[?],f32> {
+  torch.bind_symbolic_shape %arg0, [], affine_map<()[] -> (1)> : !torch.vtensor<[?],f32>
+  return %arg0 : !torch.vtensor<[?],f32>
+}
+
+// -----
+
 func.func @torch.symbolic_int$no_shape_symbols(%arg0: !torch.vtensor<[?],f32>) -> !torch.vtensor<[?],f32> {
   %int0 = torch.constant.int 0
   // expected-error @+1 {{shape symbol must be produced by a SymbolicIntOp}}