[TFLite] Support quantized GREATER op in TFLite frontend

Address comments
Change-Id: I0371e17031fa19a9ceebc33546cee15301c3c078

tests/python/frontend/tflite/test_forward.py

@@ -2224,36 +2224,23 @@ def __test_elemwise(in_data):
                 if None != x[0]
             }
 
-            if comparison_op:
-                out = math_op(inq_data[0], inq_data[1])
-                out = with_fused_activation_function(out, fused_activation_function)
-
-                compare_tflite_with_tvm(
-                    [x[1] for x in zip(in_data, data) if None != x[0]],
-                    [x + ":0" for x in input_range.keys()],
-                    [x[1] for x in zip(in_data, inq_data) if None != x[0]],
-                    [out],
-                    quantized=True,
-                    input_range=input_range,
-                    experimental_new_converter=same_qnn_params,
-                )
-            else:
-                out = math_op(inq_data[0], inq_data[1])
-                out = with_fused_activation_function(out, fused_activation_function)
+            out = math_op(inq_data[0], inq_data[1])
+            out = with_fused_activation_function(out, fused_activation_function)
+            if not comparison_op:
                 out = tf.quantization.fake_quant_with_min_max_args(
                     out, min=out_min, max=out_max, name="out"
                 )
 
-                # Note same_qnn_params uses experimental_new_converter as toco failed
-                compare_tflite_with_tvm(
-                    [x[1] for x in zip(in_data, data) if None != x[0]],
-                    [x + ":0" for x in input_range.keys()],
-                    [x[1] for x in zip(in_data, inq_data) if None != x[0]],
-                    [out],
-                    quantized=True,
-                    input_range=input_range,
-                    experimental_new_converter=same_qnn_params,
-                )
+            # Note same_qnn_params uses experimental_new_converter as toco failed
+            compare_tflite_with_tvm(
+                [x[1] for x in zip(in_data, data) if None != x[0]],
+                [x + ":0" for x in input_range.keys()],
+                [x[1] for x in zip(in_data, inq_data) if None != x[0]],
+                [out],
+                quantized=True,
+                input_range=input_range,
+                experimental_new_converter=same_qnn_params,
+            )
         else:
             out = math_op(
                 in_data[0]
@@ -2493,7 +2480,7 @@ def _test_forward_elemwise(testop):
     )
 
 
-def _test_forward_elemwise_quantized(testop, comparison_op=False):
+def _test_forward_elemwise_quantized(testop):
     testop(
         [
             np.array(np.random.uniform(0, 255, (3, 6)), dtype=np.uint8),
@@ -2545,11 +2532,11 @@ def test_all_elemwise():
     _test_forward_elemwise(_test_squared_difference)
     _test_forward_elemwise(_test_greater_equal)
     _test_forward_elemwise(_test_greater)
-    _test_forward_elemwise_quantized(_test_greater, True)
+    _test_forward_elemwise_quantized(_test_greater)
     _test_forward_elemwise(_test_less)
     _test_forward_elemwise(_test_less_equal)
     _test_forward_elemwise(_test_equal)
-    _test_forward_elemwise_quantized(_test_equal, True)
+    _test_forward_elemwise_quantized(_test_equal)
     _test_forward_elemwise(_test_not_equal)
     if package_version.parse(tf.VERSION) >= package_version.parse("1.14.0"):
         _test_forward_elemwise(_test_floor_divide)