fix potential crash on int8 convolution with no bias

src/layer/arm/convolution_arm.cpp

@@ -1160,7 +1160,7 @@ int Convolution_arm::forward_int8_arm(const Mat& bottom_blob, Mat& top_blob, con
 
             float scale_out = top_blob_int8_scale;//FIXME load param
 
-            requantize_int8_to_int8(top_blob_tm_g, top_blob_g, scale_in, scale_out, &bias_data[p], bias_term ? 1 : 0, 0, opt_g);
+            requantize_int8_to_int8(top_blob_tm_g, top_blob_g, scale_in, scale_out, bias_term ? (const float*)bias_data + p : 0, bias_term ? 1 : 0, 0, opt_g);
         }
     }
     else
@@ -1181,7 +1181,7 @@ int Convolution_arm::forward_int8_arm(const Mat& bottom_blob, Mat& top_blob, con
         else
         {
             conv_im2col_sgemm_int8_neon(bottom_blob_bordered, top_blob, weight_sgemm_data_int8, kernel_w, kernel_h, stride_w, stride_h, opt);
-        }        
+        }
 
         // dequantize, reverse scale inplace
         #pragma omp parallel for num_threads(opt.num_threads)
@@ -1200,7 +1200,7 @@ int Convolution_arm::forward_int8_arm(const Mat& bottom_blob, Mat& top_blob, con
             else
                 scale_in = 1.f / (bottom_blob_int8_scale * weight_data_int8_scales[p]);
 
-            dequantize_int32_to_float32(top_blob_g, scale_in, &bias_data[p], bias_term ? 1 : 0, opt_g);
+            dequantize_int32_to_float32(top_blob_g, scale_in, bias_term ? (const float*)bias_data + p : 0, bias_term ? 1 : 0, opt_g);
         }
     }
 

src/layer/arm/convolutiondepthwise_arm.cpp

@@ -671,7 +671,7 @@ int ConvolutionDepthWise_arm::forward_int8_arm(const Mat& bottom_blob, Mat& top_
                     opt_g.blob_allocator = top_blob.allocator;
 
                     Mat top_blob_g = top_blob.channel(g);
-                    dequantize_int32_to_float32(top_blob_g, scale_in, &bias_data[g], bias_term ? 0 : 1, opt_g);
+                    dequantize_int32_to_float32(top_blob_g, scale_in, bias_term ? (const float*)bias_data + g : 0, bias_term ? 0 : 1, opt_g);
                 }
 
                 if (activation)
@@ -702,7 +702,7 @@ int ConvolutionDepthWise_arm::forward_int8_arm(const Mat& bottom_blob, Mat& top_
                     opt_g.blob_allocator = top_blob.allocator;
 
                     Mat top_blob_g = top_blob.channel(g);
-                    dequantize_int32_to_float32(top_blob_g, scale_in, &bias_data[g], bias_term ? 0 : 1, opt_g);
+                    dequantize_int32_to_float32(top_blob_g, scale_in, bias_term ? (const float*)bias_data + g : 0, bias_term ? 0 : 1, opt_g);
                 }
 
                 if (activation)

src/layer/x86/convolution_x86.cpp

@@ -414,7 +414,7 @@ int Convolution_x86::forward_int8_x86(const Mat& bottom_blob, Mat& top_blob, con
 
                 float scale_out = top_blob_int8_scale;//FIXME load param
 
-                requantize_int8_to_int8(top_blob_tm_g, top_blob_g, scale_in, scale_out, &bias_data[p], bias_term ? 1 : 0, 0, opt_g);
+                requantize_int8_to_int8(top_blob_tm_g, top_blob_g, scale_in, scale_out, bias_term ? (const float*)bias_data + p : 0, bias_term ? 1 : 0, 0, opt_g);
             }
         }
         else
@@ -461,7 +461,7 @@ int Convolution_x86::forward_int8_x86(const Mat& bottom_blob, Mat& top_blob, con
                 else
                     scale_in = 1.f / (bottom_blob_int8_scale * weight_data_int8_scales[p]);
 
-                dequantize_int32_to_float32(top_blob_g, scale_in, &bias_data[p], bias_term ? 1 : 0, opt_g);
+                dequantize_int32_to_float32(top_blob_g, scale_in, bias_term ? (const float*)bias_data + p : 0, bias_term ? 1 : 0, opt_g);
             }
         }
         else