AndrewZhaoLuo commented on a change in pull request #9840:
URL: https://github.com/apache/tvm/pull/9840#discussion_r783397015
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File path: python/tvm/relay/frontend/tflite.py
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@@ -1911,6 +1911,14 @@ def convert_fully_connected(self, op):
weight_expr = self.exp_tab.new_const(weight_value,
dtype=weight_tensor_type_str)
weight_shape = _infer_shape(weight_expr)
+ # Change the output shape calculation based on keep_dim option
Review comment:
Maybe try converting from keras?
https://www.tensorflow.org/api_docs/python/tf/keras/layers/Dense
Its documentated behavior seems to match keep_dims = True.
I would make just a new unit test if you go this route.
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