u99127 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_r372390838
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File path: python/tvm/relay/frontend/tflite.py
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@@ -747,6 +749,158 @@ def convert_squared_difference(self, op):
out = _op.power(difference, relay.const(2, exp_type))
return out
+ def convert_gather(self, op):
+ """Method to Convert TFLite Gather operator"""
+ # Check if the input tensor is quantized, call QNN op
+ if self.is_quantized(op):
+ raise tvm.error.OpNotImplemented(
+ 'TFlite quantized gather operator is not supported yet.')
+ input_tensors = self.get_input_tensors(op)
+
+ 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")
+
+ 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()
+
+ 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)
+ out = _op.take(data, indices, axis=axis)
+ return out
+
+ def convert_strided_slice(self, op):
+ """Method to Convert TFLite Strided Slice operator"""
+ # Check if the input tensor is quantized, call QNN op
+ if self.is_quantized(op):
+ raise tvm.error.OpNotImplemented(
+ 'TFlite quantized strided slice operator is not supported
yet.')
Review comment:
Same comment as above - this is a tensor manipulation op rather than
anything that intrinsically requires quantization knowledge.
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