optimize backward (#37055)

PaddlePaddle · Nov 9, 2021 · aac00f6 · aac00f6
1 parent 7181670
commit aac00f6
Showing 1 changed file with 27 additions and 14 deletions.
diff --git a/paddle/fluid/operators/index_select_op.cu b/paddle/fluid/operators/index_select_op.cu
@@ -54,14 +54,18 @@ __global__ void index_select_grad_cuda_kernel(const T* output_grad,
 
   int64_t pre_idx = idx / (stride * size);
   int64_t dim_idx = idx % (stride * size) / stride;
-  int64_t begin_idx = idx + (delta * pre_idx - dim_idx) * stride;
+  IndexT src_dim_idx = index[dim_idx];
+  int64_t input_idx = idx + (delta * pre_idx + src_dim_idx - dim_idx) * stride;
+  paddle::platform::CudaAtomicAdd(&input_grad[input_idx], output_grad[idx]);
+}
 
-  input_grad[idx] = 0.0;
-  for (int64_t i = 0; i < nums; i++) {
-    if (index[i] == dim_idx) {
-      input_grad[idx] += output_grad[begin_idx + i * stride];
-    }
+template <typename T>
+__global__ void index_select_grad_init(T* input_grad, int64_t N) {
+  int64_t idx = blockIdx.x * blockDim.x + threadIdx.x;
+  if (idx >= N) {
+    return;
   }
+  input_grad[idx] = 0.0;
 }
 
 template <typename DeviceContext, typename T>
@@ -143,8 +147,8 @@ class IndexSelectGradCUDAKernel : public framework::OpKernel<T> {
     dim = dim >= 0 ? dim : dim + input_dim.size();
     auto stride_dim = framework::stride(input_dim);
     int64_t stride = stride_dim[dim];
-    int64_t size = input_dim[dim];
-    int64_t delta = output_dim[dim] - size;
+    int64_t size = output_dim[dim];
+    int64_t delta = input_dim[dim] - size;
 
     const auto& index_type = index->type();
     bool index_type_match = index_type == framework::proto::VarType::INT64 ||
@@ -161,17 +165,22 @@ class IndexSelectGradCUDAKernel : public framework::OpKernel<T> {
 
     int64_t numel = in_grad->numel();
     int64_t index_nums = index->numel();
+    int64_t out_nums = output_grad->numel();
 
     auto stream =
         context.template device_context<platform::CUDADeviceContext>().stream();
 
+    index_select_grad_init<
+        T><<<(numel + PADDLE_CUDA_NUM_THREADS - 1) / PADDLE_CUDA_NUM_THREADS,
+             PADDLE_CUDA_NUM_THREADS, 0, stream>>>(in_grad_data, numel);
+
     if (index_type == framework::proto::VarType::INT64) {
       const int64_t* index_data = index->data<int64_t>();
       index_select_grad_cuda_kernel<T, int64_t><<<
-          (numel + PADDLE_CUDA_NUM_THREADS - 1) / PADDLE_CUDA_NUM_THREADS,
+          (out_nums + PADDLE_CUDA_NUM_THREADS - 1) / PADDLE_CUDA_NUM_THREADS,
           PADDLE_CUDA_NUM_THREADS, 0, stream>>>(output_grad_data, in_grad_data,
-                                                index_data, index_nums, numel,
-                                                stride, size, delta);
+                                                index_data, index_nums,
+                                                out_nums, stride, size, delta);
 #ifdef PADDLE_WITH_HIP
       PADDLE_ENFORCE_CUDA_SUCCESS(hipStreamSynchronize(stream));
 #else
@@ -180,10 +189,10 @@ class IndexSelectGradCUDAKernel : public framework::OpKernel<T> {
     } else {
       const int* index_data = index->data<int>();
       index_select_grad_cuda_kernel<T, int><<<
-          (numel + PADDLE_CUDA_NUM_THREADS - 1) / PADDLE_CUDA_NUM_THREADS,
+          (out_nums + PADDLE_CUDA_NUM_THREADS - 1) / PADDLE_CUDA_NUM_THREADS,
           PADDLE_CUDA_NUM_THREADS, 0, stream>>>(output_grad_data, in_grad_data,
-                                                index_data, index_nums, numel,
-                                                stride, size, delta);
+                                                index_data, index_nums,
+                                                out_nums, stride, size, delta);
 #ifdef PADDLE_WITH_HIP
       PADDLE_ENFORCE_CUDA_SUCCESS(hipStreamSynchronize(stream));
 #else
@@ -201,12 +210,16 @@ REGISTER_OP_CUDA_KERNEL(
     index_select,
     ops::IndexSelectCUDAKernel<paddle::platform::CUDADeviceContext, float>,
     ops::IndexSelectCUDAKernel<paddle::platform::CUDADeviceContext, double>,
+    ops::IndexSelectCUDAKernel<paddle::platform::CUDADeviceContext,
+                               paddle::platform::float16>,
     ops::IndexSelectCUDAKernel<paddle::platform::CUDADeviceContext, int>,
     ops::IndexSelectCUDAKernel<paddle::platform::CUDADeviceContext, int64_t>);
 REGISTER_OP_CUDA_KERNEL(
     index_select_grad,
     ops::IndexSelectGradCUDAKernel<paddle::platform::CUDADeviceContext, float>,
     ops::IndexSelectGradCUDAKernel<paddle::platform::CUDADeviceContext, double>,
+    ops::IndexSelectGradCUDAKernel<paddle::platform::CUDADeviceContext,
+                                   paddle::platform::float16>,
     ops::IndexSelectGradCUDAKernel<paddle::platform::CUDADeviceContext, int>,
     ops::IndexSelectGradCUDAKernel<paddle::platform::CUDADeviceContext,
                                    int64_t>);