siju-samuel commented on a change in pull request #5474:
URL: https://github.com/apache/incubator-tvm/pull/5474#discussion_r417851626
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File path: python/tvm/relay/frontend/tflite.py
##########
@@ -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:
assert if len(input_tensors) <2 ? Othersiwe input_tensors[1: ] will
throw error.
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File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -1142,6 +1142,43 @@ def test_all_elemwise():
_test_forward_elemwise(_test_floor_divide)
_test_forward_elemwise(_test_floor_mod)
+
+#######################################################################
+# AddN
+# ----------------------
Review comment:
remove unnecessary dashes
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