Add support for quant. mul operator in tflite frontend (#4283)

A test for qnn_mul has to be added when the qnn elemwise tests (#4282) get merged.

diff --git a/python/tvm/relay/frontend/tflite.py b/python/tvm/relay/frontend/tflite.py
index 8966aa6..30209ff 100644 (file)
--- a/python/tvm/relay/frontend/tflite.py
+++ b/python/tvm/relay/frontend/tflite.py
@@ -575,8 +575,7 @@ class OperatorConverter(object):
         """Convert TFLite MUL"""
         # Check if the input tensor is quantized, call QNN op
         if self.is_quantized(op):
-            raise tvm.error.OpNotImplemented(
-                'TFlite quantized mul operator is not supported yet.')
+            return self._convert_elemwise(_qnn.op.mul, op)
         return self._convert_elemwise(_op.multiply, op)
 
     def convert_div(self, op):