[GitHub] [incubator-tvm] u99127 commented on a change in pull request #5447: [TOPI,RELAY][TFLITE] Sparse to dense operator

[GitBox <gi...@apache.org>]

u99127 commented on a change in pull request #5447:
URL: https://github.com/apache/incubator-tvm/pull/5447#discussion_r416152206



##########
File path: python/tvm/relay/frontend/tflite.py
##########
@@ -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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