codeislife99 commented on a change in pull request #7562:
URL: https://github.com/apache/tvm/pull/7562#discussion_r586914618
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File path: python/tvm/relay/frontend/tensorflow.py
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@@ -1166,6 +1166,125 @@ def _impl(inputs, attr, params, mod):
return _impl
+def _math_segment_sum():
+ def _impl(inputs, attr, params, mod):
+ assert len(inputs) == 2, "There should be 2 input tensors"
+ return get_relay_op("segment_sum")(inputs[0], inputs[1])
+
+ return _impl
+
+
+def _sparse_segment_sum():
+ def _impl(inputs, attr, params, mod):
+ assert len(inputs) == 3, "There should be 3 input tensors"
+ data = _op.take(inputs[0], inputs[1], axis=0)
+ return _op.segment_sum(data, inputs[2])
+
Review comment:
In this case, I understand we must do the take and the addition from
segment sum simultaneously for performance. So a fused implementation in that
case would be a new op ?
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