fix build without neon

src/layer/arm/convolution_arm.cpp

@@ -974,7 +974,28 @@ int Convolution_arm::forward(const Mat& bottom_blob, Mat& top_blob, const Option
                             kptr += maxk;
                         }
 
-                        sum = activation_ss(sum, activation_type, activation_params);
+                        if (activation_type == 1)
+                        {
+                            sum = std::max(sum, 0.f);
+                        }
+                        else if (activation_type == 2)
+                        {
+                            float slope = activation_params[0];
+                            sum = sum > 0.f ? sum : sum * slope;
+                        }
+                        else if (activation_type == 3)
+                        {
+                            float min = activation_params[0];
+                            float max = activation_params[1];
+                            if (sum < min)
+                                sum = min;
+                            if (sum > max)
+                                sum = max;
+                        }
+                        else if (activation_type == 4)
+                        {
+                            sum = static_cast<float>(1.f / (1.f + exp(-sum)));
+                        }
 
                         outptr[j] = sum;
                     }

src/layer/arm/deconvolution_arm.cpp

@@ -644,7 +644,28 @@ int Deconvolution_arm::forward(const Mat& bottom_blob, Mat& top_blob, const Opti
                             kptr += maxk;
                         }
 
-                        sum = activation_ss(sum, activation_type, activation_params);
+                        if (activation_type == 1)
+                        {
+                            sum = std::max(sum, 0.f);
+                        }
+                        else if (activation_type == 2)
+                        {
+                            float slope = activation_params[0];
+                            sum = sum > 0.f ? sum : sum * slope;
+                        }
+                        else if (activation_type == 3)
+                        {
+                            float min = activation_params[0];
+                            float max = activation_params[1];
+                            if (sum < min)
+                                sum = min;
+                            if (sum > max)
+                                sum = max;
+                        }
+                        else if (activation_type == 4)
+                        {
+                            sum = static_cast<float>(1.f / (1.f + exp(-sum)));
+                        }
 
                         outptr[j] = sum;
                     }

src/layer/arm/deconvolutiondepthwise_arm.cpp

@@ -306,7 +306,28 @@ int DeconvolutionDepthWise_arm::forward(const Mat& bottom_blob, Mat& top_blob, c
                             }
                         }
 
-                        sum = activation_ss(sum, activation_type, activation_params);
+                        if (activation_type == 1)
+                        {
+                            sum = std::max(sum, 0.f);
+                        }
+                        else if (activation_type == 2)
+                        {
+                            float slope = activation_params[0];
+                            sum = sum > 0.f ? sum : sum * slope;
+                        }
+                        else if (activation_type == 3)
+                        {
+                            float min = activation_params[0];
+                            float max = activation_params[1];
+                            if (sum < min)
+                                sum = min;
+                            if (sum > max)
+                                sum = max;
+                        }
+                        else if (activation_type == 4)
+                        {
+                            sum = static_cast<float>(1.f / (1.f + exp(-sum)));
+                        }
 
                         outptr[j] = sum;
                     }