mbaret commented on a change in pull request #5474:
URL: https://github.com/apache/incubator-tvm/pull/5474#discussion_r417873031
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File path: python/tvm/relay/frontend/tflite.py
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@@ -863,6 +845,21 @@ def convert_add(self, op):
return self._convert_elemwise(_qnn.op.add, op)
return self._convert_elemwise(_op.add, op)
+ def convert_add_n(self, op):
+ """Convert TFLite ADD_N"""
+ output_tensors = self.get_output_tensors(op)
+ assert len(output_tensors) == 1, "output tensors length should be 1"
+
+ input_tensors = self.get_input_tensors(op)
+ assert not input_tensors[0].qnn_params, "TFLite does not support
quantized ADD_N."
+ lhs_expr = self.get_tensor_or_const_expr(input_tensors[0])
+ for rhs_tensor in input_tensors[1:]:
Review comment:
I believe doing x[1:] with len(x) < 2 will just return an empty list
rather than throw an error.
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