diff --git a/mace/ops/eltwise.h b/mace/ops/eltwise.h
index 66c505fa2e4f75d4070672cd3f9f8a2b1e90a7a5..9cc800bfb40c2db88a28c4b4e0a3c2daeb60eb97 100644
--- a/mace/ops/eltwise.h
+++ b/mace/ops/eltwise.h
@@ -30,7 +30,7 @@ class EltwiseOp : public Operator<D, T> {
             static_cast<kernels::EltwiseType>(OperatorBase::GetOptionalArg<int>(
                 "type", static_cast<int>(kernels::EltwiseType::NONE))),
             OperatorBase::GetRepeatedArgs<float>("coeff"),
-            OperatorBase::GetOptionalArg<float>("x", 1.0)) {}
+            OperatorBase::GetOptionalArg<float>("value", 1.0)) {}
 
   MaceStatus Run(StatsFuture *future) override {
     const Tensor *input0 = this->Input(0);
diff --git a/mace/ops/eltwise_test.cc b/mace/ops/eltwise_test.cc
index e3cbb2debd97c16abeef2481972e89ab1eda3f74..e8fd81cf7fdad1b948c5537925795b472ec4b98d 100644
--- a/mace/ops/eltwise_test.cc
+++ b/mace/ops/eltwise_test.cc
@@ -40,7 +40,7 @@ void SimpleTensorScalar(const kernels::EltwiseType type,
     OpDefBuilder("Eltwise", "EltwiseTest")
         .Input("TInput")
         .AddIntArg("type", static_cast<int>(type))
-        .AddFloatArg("x", x)
+        .AddFloatArg("value", x)
         .Output("TOutput")
         .Finalize(net.NewOperatorDef());
     // Run
@@ -52,7 +52,7 @@ void SimpleTensorScalar(const kernels::EltwiseType type,
     OpDefBuilder("Eltwise", "EltwiseTest")
         .Input("InputImg")
         .AddIntArg("type", static_cast<int>(type))
-        .AddFloatArg("x", x)
+        .AddFloatArg("value", x)
         .Output("OutputImg")
         .Finalize(net.NewOperatorDef());
 
@@ -321,7 +321,7 @@ void RandomTensorScalar(const kernels::EltwiseType type,
   OpDefBuilder("Eltwise", "EltwiseTest")
       .Input("TInput")
       .AddIntArg("type", static_cast<int>(type))
-      .AddFloatArg("x", 0.1)
+      .AddFloatArg("value", 0.1)
       .Output("TOutput")
       .Finalize(net.NewOperatorDef());
   // Run
@@ -336,7 +336,7 @@ void RandomTensorScalar(const kernels::EltwiseType type,
   OpDefBuilder("Eltwise", "EltwiseTest")
       .Input("InputImg")
       .AddIntArg("type", static_cast<int>(type))
-      .AddFloatArg("x", 0.1)
+      .AddFloatArg("value", 0.1)
       .Output("OutputImg")
       .AddIntArg("T", static_cast<int>(DataTypeToEnum<T>::value))
       .Finalize(net.NewOperatorDef());
diff --git a/mace/python/tools/converter_tool/base_converter.py b/mace/python/tools/converter_tool/base_converter.py
index be6e67529166d6678df326af14c369124fff7e08..0a56239eace1c825752556ebad9d01a3479f8679 100644
--- a/mace/python/tools/converter_tool/base_converter.py
+++ b/mace/python/tools/converter_tool/base_converter.py
@@ -139,6 +139,7 @@ class MaceKeyword(object):
     mace_shape_str = 'shape'
     mace_winograd_filter_transformed = 'is_filter_transformed'
     mace_device = 'device'
+    mace_value_str = 'value'
 
 
 class TransformerRule(Enum):
diff --git a/mace/python/tools/converter_tool/tensorflow_converter.py b/mace/python/tools/converter_tool/tensorflow_converter.py
index 19674f376999aba31172be2c4cdecce27b578c31..0eea81c079cb26b9e1e84d09877f2912436057ba 100644
--- a/mace/python/tools/converter_tool/tensorflow_converter.py
+++ b/mace/python/tools/converter_tool/tensorflow_converter.py
@@ -309,6 +309,19 @@ class TensorflowConverter(base_converter.ConverterInterface):
         type_arg.name = MaceKeyword.mace_element_type_str
         type_arg.i = self.eltwise_type[tf_op.type].value
 
+        if len(tf_op.inputs[0].shape) == 0:
+            value_arg = op.arg.add()
+            value_arg.name = MaceKeyword.mace_value_str
+            value_arg.f = tf_op.inputs[0].eval().astype(np.float32)
+            self._skip_tensor.add(tf_op.inputs[0].name)
+            del op.input[0]
+        elif len(tf_op.inputs[1].shape) == 0:
+            value_arg = op.arg.add()
+            value_arg.name = MaceKeyword.mace_value_str
+            value_arg.f = tf_op.inputs[1].eval().astype(np.float32)
+            self._skip_tensor.add(tf_op.inputs[1].name)
+            del op.input[1]
+
     def convert_biasadd(self, tf_op):
         op = self.convert_general_op(tf_op)
         op.type = MaceOp.BiasAdd.name