[Relay] Add TopK in tf converter

python/tvm/relay/frontend/tensorflow.py

@@ -1082,6 +1082,15 @@ def _impl(inputs, attr, params):
         return _get_relay_op('log')(add_out)
     return _impl
 
+def _topk():
+    def _impl(inputs, attr, params):
+        k = params.pop(inputs.pop(1).name_hint).asnumpy()
+        is_ascend = False if attr['sorted'] else None # TODO: arg value for original ordering
+        return AttrCvt(op_name='topk',
+                       ignores=['sorted'],
+                       extras={'k': int(k), 'is_ascend': is_ascend})(inputs, attr)
+    return _impl
+
 def _logical(name):
     def _impl(inputs, attr, params):
         return AttrCvt(op_name=name)(inputs, attr)
@@ -1271,6 +1280,7 @@ def _impl(inputs, attr, params):
     'Sum'                               : _sum(),
     'Tanh'                              : AttrCvt('tanh'),
     'Tile'                              : _tile(),
+    'TopKV2'                            : _topk(),
     'Transpose'                         : _transpose(),
     'Unpack'                            : _unpack(),
 

tests/python/frontend/tensorflow/test_forward.py

@@ -754,6 +754,26 @@ def test_forward_split():
     _test_split((3, 6, 4), -2, [1, 4, 1], 'float32')
 
 
+######################################################################
+# TopKV2
+# ------
+
+def _test_forward_top_k_v2(in_shape, k, sorted, dtype):
+    np_data = np.random.uniform(-100, 100, size=in_shape).astype(dtype)
+
+    tf.reset_default_graph()
+    in_data = tf.placeholder(dtype, in_shape, name="in_data")
+    tf.math.top_k(in_data, k, sorted, name='TopK')
+    compare_tf_with_tvm([np_data], ['in_data:0'], 'TopK:0')
+
+def test_forward_top_k_v2():
+    #_test_forward_top_k_v2((3,), 0, True, 'int32')
+    _test_forward_top_k_v2((3,), 1, True, 'float32')
+    _test_forward_top_k_v2((3,), 3, True, 'float32')
+    _test_forward_top_k_v2((3, 5, 7), 3, True, 'float32')
+    #_test_forward_top_k_v2((3, 5, 13), 11, False, 'float32')
+
+
 #######################################################################
 # Unstack
 # -------
@@ -1704,6 +1724,7 @@ def test_placeholder():
     test_forward_split()
     test_forward_unstack()
     test_forward_tile()
+    test_forward_top_k_v2()
 
     # Activations
     test_forward_sigmoid()