siju-samuel commented on a change in pull request #4788:
[FRONTEND][TFLITE]Gather, StridedSlice op support added
URL: https://github.com/apache/incubator-tvm/pull/4788#discussion_r379762683
##########
File path: python/tvm/relay/frontend/tflite.py
##########
@@ -792,6 +794,147 @@ def convert_not_equal(self, op):
'TFlite quantized NOT_EQUAL operator is not supported yet.')
return self._convert_elemwise(_op.not_equal, op)
+ def convert_gather(self, op):
+ """Method to Convert TFLite GATHER operator"""
+ try:
+ from tflite.BuiltinOptions import BuiltinOptions
+ from tflite.GatherOptions import GatherOptions
+ from tflite.TensorType import TensorType
+ except ImportError:
+ raise ImportError("The tflite package must be installed")
+
+ input_tensors = self.get_input_tensors(op)
+ data = self.get_expr(input_tensors[0].tensor_idx)
+
+ indices = input_tensors[1]
+ indices_type = indices.tensor.Type()
+ assert indices_type in (TensorType.INT32, TensorType.INT64)
+ indices_type_str = self.get_tensor_type_str(indices_type)
+ indices = self.exp_tab.new_const(self.get_tensor_value(indices),
+ dtype=indices_type_str)
+
+ assert op.BuiltinOptionsType() == BuiltinOptions.GatherOptions
+ op_options = op.BuiltinOptions()
+ gather_options = GatherOptions()
+ gather_options.Init(op_options.Bytes, op_options.Pos)
+ axis = gather_options.Axis()
+
+ out = _op.take(data, indices, axis=axis)
+ return out
+
+ def convert_strided_slice(self, op):
+ """Method to Convert TFLite STRIDED_SLICE operator"""
+ try:
+ from tflite.BuiltinOptions import BuiltinOptions
+ from tflite.StridedSliceOptions import StridedSliceOptions
+ except ImportError:
+ raise ImportError("The tflite package must be installed")
+
+ input_tensors = self.get_input_tensors(op)
Review comment:
Added the assert as per your suggestion
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