apivovarov commented on a change in pull request #4447:
[Relay][Frontend][TFlite] Add parses support for UNPACK tflite operator
URL: https://github.com/apache/incubator-tvm/pull/4447#discussion_r354040129
##########
File path: python/tvm/relay/frontend/tflite.py
##########
@@ -1238,6 +1239,54 @@ def convert_pack(self, op):
out = _op.concatenate(in_exprs_reshaped, pack_axis)
return out
+ def convert_unpack(self, op):
+ """Convert TFLite unpack"""
+ try:
+ from tflite.BuiltinOptions import BuiltinOptions
+ from tflite.Operator import Operator
+ from tflite.UnpackOptions import UnpackOptions
+ except ImportError:
+ raise ImportError("The tflite package must be installed")
+
+ assert isinstance(op, Operator)
+ input_tensors = self.get_input_tensors(op)
+ assert len(input_tensors) == 1, "input tensors length should be 1"
+ input_tensor = input_tensors[0]
+ in_expr = self.get_expr(input_tensor.tensor_idx)
+ assert op.BuiltinOptionsType() == BuiltinOptions.UnpackOptions
+ op_options = op.BuiltinOptions()
+ unpack_options = UnpackOptions()
+ unpack_options.Init(op_options.Bytes, op_options.Pos)
+ num_unpacks = unpack_options.Num()
+ unpack_axis = unpack_options.Axis()
+
+ # Relay doesn't support 'unpack' operator so we use 'split' &
'squeeze' instead.
+ # We have to do 'squeeze' along the split axis but Relay expects
+ # squeeze_axis to be either None or List
+ if unpack_axis == 0:
+ squeeze_axis = None
+ else:
+ squeeze_axis = [unpack_axis]
+
+ # Relay doesn't like TupleWrapper of 1 element so we isolate the case
of unpacking
+ # a tensor by an axis with len(axis) == 1. For reference see
convert_split()
+ # Such unpacking will result in the same tensor so we omit 'split' and
only squeeze
+ # along the axis of dim == 1
Review comment:
Can you add punctuation to this text?
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