dnn: fix OpenCL code in pooling_ocl

modules/dnn/src/layers/pooling_layer.cpp

@@ -132,7 +132,7 @@ void PoolingLayerImpl::maxPooling(Blob &src, Blob &dst, Blob &mask)
 
 bool PoolingLayerImpl::maxPooling_ocl(Blob &src, Blob &dst, Blob &mask)
 {
-    return pooling_ocl("MaxPoolForward", src, dst);
+    return pooling_ocl("MaxPoolForward", src, dst, &mask);
 }
 
 void PoolingLayerImpl::avePooling(Blob &src, Blob &dst)
@@ -201,22 +201,36 @@ bool PoolingLayerImpl::pooling_ocl(const char *kname, const Blob &src, Blob &dst
 {
     const UMat &srcMat = src.umatRefConst();
     UMat &dstMat = dst.umatRef();
-    UMat* indexesMat = mask == NULL ? NULL : &dst.umatRef();
+    UMat *maskUMat = mask == NULL ? NULL : &mask->umatRef();
+    CV_Assert(maskUMat == NULL || maskUMat->type() == CV_32FC1); // FIXIT CV_32SC1
+    CV_Assert(maskUMat == NULL || maskUMat->offset == 0);
 
     CV_Assert(srcMat.offset == 0 && dstMat.offset == 0);
 
-    ocl::Kernel ker(kname, ocl::dnn::pooling_oclsrc, String("-DT=") + ocl::typeToStr(src.type()));
+    ocl::Kernel ker(kname, ocl::dnn::pooling_oclsrc,
+        cv::format("-DT=%s%s", ocl::typeToStr(src.type()), maskUMat ? " -DMASK=1" : ""));
     if (ker.empty())
         return false;
 
     BlobShape s = src.shape();
     size_t nthreads = dst.total();
-    ker.args((int)nthreads,
+    if (maskUMat)
+    {
+        ker.args((int)nthreads,
              ocl::KernelArg::PtrReadOnly(srcMat), s[0], s[1], s[2], s[3],
              out.height, out.width, kernel.height, kernel.width,
              stride.height, stride.width, pad.height, pad.width,
              ocl::KernelArg::PtrWriteOnly(dstMat),
-             ocl::KernelArg(ocl::KernelArg::PTR_ONLY + ocl::KernelArg::WRITE_ONLY, indexesMat));
+             ocl::KernelArg::PtrWriteOnly(*maskUMat));
+    }
+    else
+    {
+        ker.args((int)nthreads,
+             ocl::KernelArg::PtrReadOnly(srcMat), s[0], s[1], s[2], s[3],
+             out.height, out.width, kernel.height, kernel.width,
+             stride.height, stride.width, pad.height, pad.width,
+             ocl::KernelArg::PtrWriteOnly(dstMat));
+    }
 
     size_t wgSize = ocl::Device::getDefault().maxWorkGroupSize();
     if (!ker.run(1, &nthreads, &wgSize, true))

modules/dnn/src/opencl/pooling.cl

@@ -24,8 +24,16 @@
  * POSSIBILITY OF SUCH DAMAGE.
  **************************************************************************************/
 
-__kernel void MaxPoolForward(const int nthreads, __global T* bottom_data, const int num, const int channels, const int height, const int width, const int pooled_height, const int pooled_width, const int kernel_h, const int kernel_w, const int stride_h, const int stride_w, const int pad_h, const int pad_w, __global T* top_data, __global int* mask
-) {
+__kernel void MaxPoolForward(const int nthreads,
+    __global T* bottom_data, const int num, const int channels, const int height, const int width,
+    const int pooled_height, const int pooled_width, const int kernel_h, const int kernel_w,
+    const int stride_h, const int stride_w, const int pad_h, const int pad_w,
+    __global T* top_data
+#ifdef MASK
+    , __global float* mask
+#endif
+    )
+{
   int index = get_global_id(0);
   int tmp = get_global_size(0);
   for(index; index < nthreads; index += tmp) {
@@ -51,15 +59,25 @@ __kernel void MaxPoolForward(const int nthreads, __global T* bottom_data, const
         }
       }
     }
+
     top_data[index] = maxval;
 
-    if (mask) {
-      mask[index] = maxidx;
-    }
+#ifdef MASK
+    mask[index] = maxidx;
+#endif
   }
 }
 
-__kernel void AvePoolForward(const int nthreads, __global T* bottom_data, const int num, const int channels, const int height, const int width, const int pooled_height, const int pooled_width, const int kernel_h, const int kernel_w, const int stride_h, const int stride_w, const int pad_h, const int pad_w,__global T* top_data) {
+__kernel void AvePoolForward(const int nthreads,
+    __global T* bottom_data, const int num, const int channels, const int height, const int width,
+    const int pooled_height, const int pooled_width, const int kernel_h, const int kernel_w,
+    const int stride_h, const int stride_w, const int pad_h, const int pad_w,
+    __global T* top_data
+#ifdef MASK
+    , __global float* mask // NOT USED
+#endif
+    )
+{
   int index = get_global_id(0);
   int tmp = get_global_size(0);
   for(index; index < nthreads; index+=tmp) {