diff --git a/src/operators/kernel/central-arm-func/conv_transpose_arm_func.h b/src/operators/kernel/central-arm-func/conv_transpose_arm_func.h
index 51dac36aee0634ff0fb2b4bc1bcc45f663f84462..343e5f147644cc5bb86c2929d4bd35b44301c4cf 100644
--- a/src/operators/kernel/central-arm-func/conv_transpose_arm_func.h
+++ b/src/operators/kernel/central-arm-func/conv_transpose_arm_func.h
@@ -96,10 +96,6 @@ void ConvTransposeCompute(const ConvTransposeParam<CPU> &param) {
 
       math::matmul(filter_slice, true, in_slice, false, static_cast<P>(1.0),
                    &col_matrix, static_cast<P>(0.0));
-      //初始化out_slice的值为0
-      float *tmp = out_slice.data<float>();
-      int numel = out_slice.numel();
-      memset(static_cast<void *>(tmp), 0, sizeof(float) * numel);
       if (data_dim == 2U) {
         col2im(col, dilations, strides,
                std::vector<int>{paddings[0], paddings[1], paddings[0],
diff --git a/src/operators/math/im2col.cpp b/src/operators/math/im2col.cpp
index cb4d02f45c4229475d5c8ce896427a9aad228ef6..4065f7d9c4934bce8285ea99fe4f14c4e2cc990c 100644
--- a/src/operators/math/im2col.cpp
+++ b/src/operators/math/im2col.cpp
@@ -481,6 +481,7 @@ class Col2ImFunctor<ColFormat::kCFO, CPU, T> {
 
     T *im_data = im->data<T>();
     const T *col_data = col.data<T>();
+    memset(static_cast<void *>(im_data), 0, sizeof(T) * im->numel());
 
     for (int c = 0; c < channels_col; ++c) {
       int w_offset = c % filter_width;