u99127 commented on a change in pull request #5447:
URL: https://github.com/apache/incubator-tvm/pull/5447#discussion_r416152206
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File path: python/tvm/relay/frontend/tflite.py
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@@ -2075,6 +2077,29 @@ def convert_space_to_depth(self, op):
return out
+ def convert_sparse_to_dense(self, op):
+ """Convert TFLite SPARSE_TO_DENSE"""
+ try:
+ from tflite.Operator import Operator
+ 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) == 4, "input tensors length should be 4"
+ indices, values = input_tensors[0], input_tensors[2]
+ default_value = input_tensors[3]
+ output_shape = input_tensors[1]
+
Review comment:
Do we need to have some additional data type checking for int32 and
int64 ?
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