cam145 commented on a change in pull request #5992:
URL: https://github.com/apache/incubator-tvm/pull/5992#discussion_r452216449
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File path: python/tvm/relay/frontend/tflite.py
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@@ -1634,6 +1636,56 @@ def convert_reduce_sum(self, op):
def convert_reduce_any(self, op):
return self._convert_reduce(_op.reduce.any, op)
+ def _convert_arg_min_max(self, relay_op, op):
+ """Generic method to convert TFLite arg_min_max"""
+ try:
+ from tflite.Operator import Operator
Review comment:
@d-smirnov
is something like this?
def convert_arg_max(self, op):
"""Convert TFLite ARG_MAX"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented(
'TFlite quantized ARG_MAX operator is not supported yet.')
return self._convert_unary_elemwise(_op.arg_max, op)
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