Make op_glu_test input asymmetric

This way it will produce different results along each tested dim.


ghstack-source-id: 48c5336
ghstack-comment-id: 2932190378
Pull-Request-resolved: pytorch/executorch#11294

Author: swolchok

kernels/test/op_glu_test.cpp

@@ -51,20 +51,20 @@ class OpGluOutTest : public OperatorTest {
     const std::vector<int32_t> out_sizes_1 = {2, 2};
 
     // Valid input should give the expected output
-    Tensor in = tf.ones(sizes);
+    Tensor in = tf.make(sizes, {0, 1, 2, 3, 4, 5, 6, 7});
     Tensor out = tf_out.zeros(out_sizes_1);
     op_glu_out(in, 0, out);
-    expect_tensor_close<DTYPE>(
+    expect_tensor_close<OUT_DTYPE>(
         out,
         tf_out.make(
-            out_sizes_1, /*data=*/{0.731059, 0.731059, 0.731059, 0.731059}));
+            out_sizes_1, /*data=*/{0, 0.99330717, 1.99505484, 2.99726701}));
     const std::vector<int32_t> out_sizes_2 = {4, 1};
     out = tf_out.zeros(out_sizes_2);
     op_glu_out(in, 1, out);
-    expect_tensor_close<DTYPE>(
+    expect_tensor_close<OUT_DTYPE>(
         out,
         tf_out.make(
-            out_sizes_2, /*data=*/{0.731059, 0.731059, 0.731059, 0.731059}));
+            out_sizes_2, /*data=*/{0, 1.90514827, 3.97322869, 5.99453402}));
   }
 
   // Mismatched shape tests.