Add another regression test for concatenate with zero-sized dimension.
PiperOrigin-RevId: 445115361
diff --git a/tensorflow/compiler/mlir/tfrt/python_tests/regression_tests/concat_of_fill.mlir b/tensorflow/compiler/mlir/tfrt/python_tests/regression_tests/concat_of_fill.mlir
new file mode 100644
index 0000000..b0fb26e
--- /dev/null
+++ b/tensorflow/compiler/mlir/tfrt/python_tests/regression_tests/concat_of_fill.mlir
@@ -0,0 +1,7 @@
+func.func @test(%V__0 : tensor<?x?xi1> { python_test_attrs.static_type = tensor<1x2xi1> }, %V__1 : tensor<i1> { python_test_attrs.static_type = tensor<i1> }) -> tensor<?x?xi1> {
+ %0 = "tf.Const"() { value = dense<[1, 0]> : tensor<2xi32>, device = "/job:localhost/replica:0/task:0/device:CPU:0" } : () -> tensor<2xi32>
+ %1 = "tf.Fill"(%0, %V__1) { device = "/job:localhost/replica:0/task:0/device:CPU:0" } : (tensor<2xi32>, tensor<i1>) -> tensor<?x?xi1>
+ %axis2 = "tf.Const"() { value = dense<1> : tensor<i32>, device = "/job:localhost/replica:0/task:0/device:CPU:0" } : () -> tensor<i32>
+ %2 = "tf.ConcatV2"(%V__0, %1, %axis2) { device = "/job:localhost/replica:0/task:0/device:CPU:0" } : (tensor<?x?xi1>, tensor<?x?xi1>, tensor<i32>) -> tensor<?x?xi1>
+ func.return %2 : tensor<?x?xi1>
+}
