update ca_forward_kernel (#1144)

mmcv/ops/csrc/parrots/cc_attention_cuda.cu

@@ -24,8 +24,8 @@ void CAForwardCUDAKernelLauncher(const Tensor t, const Tensor f,
   dim3 threads(32, 32);
   int d1 = (w + threads.x - 1) / threads.x;
   int d2 = (h + threads.y - 1) / threads.y;
-  int d3 = h + w;
-  dim3 blocks(d1, d2, d3);
+  int d3 = h + w - 1;
+  dim3 blocks(d1, d2, d3 * n);
 
   AT_DISPATCH_FLOATING_TYPES(t.scalar_type(), "ca_forward", [&] {
     ca_forward_kernel<scalar_t><<<blocks, threads, 0, stream>>>(
@@ -53,7 +53,7 @@ void CABackwardCUDAKernelLauncher(const Tensor dw, const Tensor t,
   dim3 threads(32, 32);
   int d1 = (w + threads.x - 1) / threads.x;
   int d2 = (h + threads.y - 1) / threads.y;
-  int d3 = c;
+  int d3 = c * n;
   dim3 blocks(d1, d2, d3);
 
   AT_DISPATCH_FLOATING_TYPES(t.scalar_type(), "ca_backward_kernel_t", [&] {
@@ -90,7 +90,7 @@ void CAMapForwardCUDAKernelLauncher(const Tensor weight, const Tensor g,
   dim3 threads(32, 32);
   int d1 = (w + threads.x - 1) / threads.x;
   int d2 = (h + threads.y - 1) / threads.y;
-  int d3 = c;
+  int d3 = c * n;
   dim3 blocks(d1, d2, d3);
 
   AT_DISPATCH_FLOATING_TYPES(g.scalar_type(), "ca_map_forward", [&] {
@@ -119,8 +119,8 @@ void CAMapBackwardCUDAKernelLauncher(const Tensor dout, const Tensor weight,
   dim3 threads(32, 32);
   int d1 = (w + threads.x - 1) / threads.x;
   int d2 = (h + threads.y - 1) / threads.y;
-  int d3 = h + w;
-  dim3 blocks(d1, d2, d3);
+  int d3 = h + w - 1;
+  dim3 blocks(d1, d2, d3 * n);
 
   AT_DISPATCH_FLOATING_TYPES(
       weight.scalar_type(), "ca_map_backward_kernel_w", [&] {
@@ -130,7 +130,8 @@ void CAMapBackwardCUDAKernelLauncher(const Tensor dout, const Tensor weight,
             g.contiguous().data_ptr<scalar_t>(),
             dw.contiguous().data_ptr<scalar_t>(), n, c, h, w);
       });
-
+  d3 = c * n;
+  blocks = dim3(d1, d2, d3);
   AT_DISPATCH_FLOATING_TYPES(g.scalar_type(), "ca_map_backward_kernel_g", [&] {
     ca_map_backward_kernel_g<scalar_t><<<blocks, threads, 0, stream>>>(
         dout.contiguous().data_ptr<scalar_t>(),