[TFLITE]FLOOR_MOD & FLOOR_DIV support (#4971)

* TFLite Floor_div & floor_mod parsing code

* Review comment updated

python/tvm/relay/frontend/tflite.py

@@ -123,6 +123,8 @@ class OperatorConverter(object):
             'DETECTION_POSTPROCESS': self.convert_detection_postprocess,
             'SQUARE': self.convert_square,
             'L2_NORMALIZATION': self.convert_l2_normalization,
+            'FLOOR_DIV': self.convert_floor_div,
+            'FLOOR_MOD': self.convert_floor_mod,
         }
 
     def check_unsupported_ops(self):
@@ -1579,6 +1581,20 @@ class OperatorConverter(object):
         out = _op.nn.pad(in_expr, pad_width=paddings, pad_value=pad_value)
         return out
 
+    def convert_floor_div(self, op):
+        """Convert TFLite FLOOR_DIV"""
+        if self.is_quantized(op):
+            raise tvm.error.OpNotImplemented(
+                'TFlite quantized FLOOR DIV operator is not supported yet.')
+        return self._convert_elemwise(_op.floor_divide, op)
+
+    def convert_floor_mod(self, op):
+        """Convert TFLite FLOOR_MOD"""
+        if self.is_quantized(op):
+            raise tvm.error.OpNotImplemented(
+                'TFlite quantized FLOOR MOD operator is not supported yet.')
+        return self._convert_elemwise(_op.floor_mod, op)
+
     def convert_mirror_pad(self, op):
         """Convert TFLite MIRROR_PAD"""
         try:

tests/python/frontend/tflite/test_forward.py

@@ -943,6 +943,22 @@ def _test_squared_difference(data):
     """ One iteration of squared difference """
     return _test_elemwise(math_ops.squared_difference, data)
 
+#######################################################################
+# Floor_divide
+# ------------
+
+def _test_floor_divide(data):
+    """ One iteration of floor_div"""
+    return _test_elemwise(math_ops.floordiv, data)
+
+#######################################################################
+# Floor_mod
+# ---------
+
+def _test_floor_mod(data):
+    """ One iteration of floor_mod"""
+    return _test_elemwise(math_ops.floormod, data)
+
 def _test_forward_elemwise(testop):
     """ Elewise"""
     testop([np.arange(6.0, dtype=np.float32).reshape((2, 1, 1, 3)),
@@ -991,6 +1007,9 @@ def test_all_elemwise():
     _test_forward_elemwise(_test_less_equal)
     _test_forward_elemwise(_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)
+        _test_forward_elemwise(_test_floor_mod)
 
 #######################################################################
 # Logical operators