[GitHub] [tvm] Hzfengsy commented on a change in pull request #10233: [PyTorch] add var_mean support

[GitBox <gi...@apache.org>]

Hzfengsy commented on a change in pull request #10233:
URL: https://github.com/apache/tvm/pull/10233#discussion_r805301483



##########
File path: python/tvm/relay/frontend/pytorch.py
##########
@@ -1597,6 +1597,21 @@ def func(x):
 
         return func(data)
 
+    def var_mean(self, inputs, input_types):
+        data = inputs[0]
+        if len(inputs) == 2:
+            axis = None
+            keepdims = False
+            unbiased = bool(inputs[1])
+        else:
+            axis = inputs[1]
+            keepdims = bool(inputs[3])
+            unbiased = bool(inputs[2])
+
+        return _op.reduce.variance(data, axis=axis, keepdims=keepdims, unbiased=unbiased), _op.mean(
+            data, axis, keepdims
+        )

Review comment:
       Thanks for your advice. Finally, I found an existing API `mean_variance`, and enhance it a bit.
   https://github.com/apache/tvm/blob/6df070aac6d0e26d1e127095a323c61c2287eb9d/python/tvm/relay/op/reduce.py#L395




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