diff --git a/metal/paddle-mobile/paddle-mobile/Executor.swift b/metal/paddle-mobile/paddle-mobile/Executor.swift
index 0f3b8824ad77de379ee575546a3e262ceb7833bb..f569b74c02bafff5c30f81643c8b54dcc1d755ce 100644
--- a/metal/paddle-mobile/paddle-mobile/Executor.swift
+++ b/metal/paddle-mobile/paddle-mobile/Executor.swift
@@ -14,7 +14,7 @@
 
 import Foundation
 
-let testTo = 7
+let testTo = 12
 
 public class ResultHolder<P: PrecisionType> {
   public let dim: [Int]
diff --git a/metal/paddle-mobile/paddle-mobile/Operators/ConcatOp.swift b/metal/paddle-mobile/paddle-mobile/Operators/ConcatOp.swift
index 361761c7533c891c7937f36b83a4edbb3f2e5726..117fd8c39fadec55b88cc1aeaf3b91e5a0dd966d 100644
--- a/metal/paddle-mobile/paddle-mobile/Operators/ConcatOp.swift
+++ b/metal/paddle-mobile/paddle-mobile/Operators/ConcatOp.swift
@@ -68,6 +68,7 @@ class ConcatOp<P: PrecisionType>: Operator<ConcatKernel<P>, ConcatParam<P>>, Run
     let originDim = para.output.originDim
     let outputArray = para.output.metalTexture.realNHWC(dim: (n: originDim[0], h: originDim[1], w: originDim[2], c: originDim[3]))
     print(outputArray.strideArray())
+    print(para.output.metalTexture.toTensor(dim: (n: para.output.tensorDim[0], c: para.output.tensorDim[1], h: para.output.tensorDim[2], w: para.output.tensorDim[3])).strideArray())
   }
 }
 
diff --git a/metal/paddle-mobile/paddle-mobile/Operators/ElementwiseAddOp.swift b/metal/paddle-mobile/paddle-mobile/Operators/ElementwiseAddOp.swift
index 8f95be21148ce5d6cccf8fb8b7e4d0ae54bf00f9..a6c31621555852e297c81cbf1306dcc878901705 100644
--- a/metal/paddle-mobile/paddle-mobile/Operators/ElementwiseAddOp.swift
+++ b/metal/paddle-mobile/paddle-mobile/Operators/ElementwiseAddOp.swift
@@ -56,7 +56,24 @@ class ElementwiseAddOp<P: PrecisionType>: Operator<ElementwiseAddKernel<P>, Elem
 //    para.output.dim = para.input.dim
   }
   
+  func delogOutput() {
+    print(" \(type) inputX: ")
+    print(para.inputX.metalTexture.toTensor(dim: (n: para.inputX.tensorDim[0], c: para.inputX.tensorDim[1], h: para.inputX.tensorDim[2], w: para.inputX.tensorDim[3])).strideArray())
+    print(" \(type) inputY: ")
+    print(para.inputY.metalTexture.toTensor(dim: (n: para.inputY.tensorDim[0], c: para.inputY.tensorDim[1], h: para.inputY.tensorDim[2], w: para.inputY.tensorDim[3])).strideArray())
+    print(" \(type) output: ")
+    let originDim = para.output.originDim
+    let outputArray = para.output.metalTexture.realNHWC(dim: (n: originDim[0], h: originDim[1], w: originDim[2], c: originDim[3]))
+    print(outputArray.strideArray())
+    print(para.output.metalTexture.toTensor(dim: (n: para.output.tensorDim[0], c: para.output.tensorDim[1], h: para.output.tensorDim[2], w: para.output.tensorDim[3])).strideArray())
+  }
+  
   func runImpl(device: MTLDevice, buffer: MTLCommandBuffer) throws {
+    do {
+      try kernel.compute(commandBuffer: buffer, param: para)
+    } catch let error {
+      throw error
+    }
   }
 }
 
diff --git a/metal/paddle-mobile/paddle-mobile/Operators/Kernels/ElementwiseAddKernel.swift b/metal/paddle-mobile/paddle-mobile/Operators/Kernels/ElementwiseAddKernel.swift
index 0a1aeeb8bf70d187515683034ffc4a2f8157b281..884b2ae3c3a02912529cc120409d2add021416fc 100644
--- a/metal/paddle-mobile/paddle-mobile/Operators/Kernels/ElementwiseAddKernel.swift
+++ b/metal/paddle-mobile/paddle-mobile/Operators/Kernels/ElementwiseAddKernel.swift
@@ -55,6 +55,7 @@ class ElementwiseAddKernel<P: PrecisionType>: Kernel, Computable {
     }
     emp.yoff = 4 - Int32(param.inputY.tensorDim.cout())
     if (param.inputX.dim == param.inputY.dim) && (param.inputX.transpose == param.inputY.transpose) {
+      print("===> elementwise_add fast!!!")
       emp.fast = 1
     }