masahi commented on a change in pull request #4964: [Torch] Add initial control 
flow support 
URL: https://github.com/apache/incubator-tvm/pull/4964#discussion_r385932502
 
 

 ##########
 File path: python/tvm/relay/frontend/pytorch.py
 ##########
 @@ -614,6 +615,55 @@ def _impl(inputs, input_types):
         return _op.tensor.sqrt(data)
     return _impl
 
+def _neg():
+    def _impl(inputs, input_types):
+        data = inputs[0]
+        return _op.tensor.negative(data)
+    return _impl
+
+def _tanh():
+    def _impl(inputs, input_types):
+        data = inputs[0]
+        return _op.tensor.tanh(data)
+    return _impl
+
+def _ge():
+    def _impl(inputs, input_types):
+        assert len(inputs) == 2
+        lhs = _wrap_const(inputs[0])
+        rhs = _wrap_const(inputs[1])
+        return _op.tensor.greater_equal(lhs, rhs)
+    return _impl
+
+def _gt():
+    def _impl(inputs, input_types):
+        assert len(inputs) == 2
+        lhs = _wrap_const(inputs[0])
+        rhs = _wrap_const(inputs[1])
+        return _op.tensor.greater(lhs, rhs)
+    return _impl
+
+def _lt():
+    def _impl(inputs, input_types):
+        assert len(inputs) == 2
+        lhs = _wrap_const(inputs[0])
+        rhs = _wrap_const(inputs[1])
+        return _op.tensor.less(lhs, rhs)
+    return _impl
+
+def _Bool():
+    def _impl(inputs, input_types):
+        assert len(inputs) == 1
+        return inputs[0]
+    return _impl
+
+def _Float():
+    def _impl(inputs, input_types):
+        assert len(inputs) == 1
+        return _op.cast(inputs[0], "float")
 
 Review comment:
   good catch, thanks

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