From 4440d7ced0075eb116b5e4e74658049f5968d61a Mon Sep 17 00:00:00 2001
From: wangchaochaohu <wangchao66@baidu.com>
Date: Fri, 6 Sep 2019 21:59:51 +0800
Subject: [PATCH] test=develop cuda realization of label smooth op (#19175)

---
 paddle/fluid/operators/label_smooth_op.cu | 94 ++++++++++++++++++++++-
 1 file changed, 90 insertions(+), 4 deletions(-)

diff --git a/paddle/fluid/operators/label_smooth_op.cu b/paddle/fluid/operators/label_smooth_op.cu
index ab259b48e3..89f1d28e99 100644
--- a/paddle/fluid/operators/label_smooth_op.cu
+++ b/paddle/fluid/operators/label_smooth_op.cu
@@ -12,15 +12,101 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
+#include "paddle/fluid/framework/tensor.h"
 #include "paddle/fluid/operators/label_smooth_op.h"
+namespace paddle {
+namespace operators {
 
+template <typename T>
+__global__ void LabelSmoothRunOriginKernel(const int N, const float epsilon,
+                                           const int label_dim, const T* src,
+                                           T* dst) {
+  int idx = blockDim.x * blockIdx.x + threadIdx.x;
+  for (; idx < N; idx += blockDim.x * gridDim.x) {
+    dst[idx] = static_cast<T>(1 - epsilon) * src[idx] +
+               static_cast<T>(epsilon / label_dim);
+  }
+}
+
+template <typename T>
+__global__ void LabelSmoothRunDistKernel(const int N, const float epsilon,
+                                         const int dist_numel, const T* src,
+                                         const T* dist_data, T* dst) {
+  int idx = blockDim.x * blockIdx.x + threadIdx.x;
+  for (; idx < N; idx += blockDim.x * gridDim.x) {
+    int dist_idx = idx - (idx / dist_numel) * dist_numel;
+    dst[idx] = static_cast<T>(1 - epsilon) * src[idx] +
+               static_cast<T>(epsilon) * dist_data[dist_idx];
+  }
+}
+
+template <typename T>
+__global__ void LabelSmoothGradRunKernel(const int N, const float epsilon,
+                                         const T* src, T* dst) {
+  int idx = blockDim.x * blockIdx.x + threadIdx.x;
+  for (; idx < N; idx += blockDim.x * gridDim.x) {
+    dst[idx] = static_cast<T>(1 - epsilon) * src[idx];
+  }
+}
+
+template <typename DeviceContext, typename T>
+class LabelSmoothGPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const {
+    auto* out_t = ctx.Output<framework::LoDTensor>("Out");
+    auto* in_t = ctx.Input<framework::LoDTensor>("X");
+    auto* dist_t = ctx.Input<framework::Tensor>("PriorDist");
+    auto label_dim = in_t->dims()[1];
+    auto epsilon = ctx.Attr<float>("epsilon");
+    auto& dev = *ctx.template device_context<DeviceContext>().eigen_device();
+    auto size_prob = in_t->numel();
+    const T* in_data = in_t->data<T>();
+    T* out_data = out_t->mutable_data<T>(ctx.GetPlace());
+    int threads = 512;
+    int grid = (size_prob + threads - 1) / threads;
+    auto stream = ctx.cuda_device_context().stream();
+    if (dist_t) {
+      auto dist_numel = dist_t->numel();
+      const T* dist_data = dist_t->data<T>();
+      LabelSmoothRunDistKernel<T><<<grid, threads, 0, stream>>>(
+          size_prob, epsilon, dist_numel, in_data, dist_data, out_data);
+
+    } else {
+      LabelSmoothRunOriginKernel<T><<<grid, threads, 0, stream>>>(
+          size_prob, epsilon, label_dim, in_data, out_data);
+    }
+  }
+};
+
+template <typename DeviceContext, typename T>
+class LabelSmoothGradGPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const {
+    auto* d_out_t = ctx.Input<framework::Tensor>(framework::GradVarName("Out"));
+    auto* d_in_t = ctx.Output<framework::Tensor>(framework::GradVarName("X"));
+    d_in_t->mutable_data<T>(ctx.GetPlace());
+
+    auto epsilon = ctx.Attr<float>("epsilon");
+    auto& dev = *ctx.template device_context<DeviceContext>().eigen_device();
+    const T* in_data = d_out_t->data<T>();
+    auto size_prob = d_out_t->numel();
+    T* out_data = d_in_t->mutable_data<T>(ctx.GetPlace());
+    int threads = 512;
+    int grid = (size_prob + threads - 1) / threads;
+    auto stream = ctx.cuda_device_context().stream();
+    LabelSmoothGradRunKernel<T><<<grid, threads, 0, stream>>>(
+        size_prob, epsilon, in_data, out_data);
+  }
+};
+}  // namespace operators
+}  // namespace paddle
 namespace ops = paddle::operators;
 
 REGISTER_OP_CUDA_KERNEL(
     label_smooth,
-    ops::LabelSmoothKernel<paddle::platform::CUDADeviceContext, float>,
-    ops::LabelSmoothKernel<paddle::platform::CUDADeviceContext, double>);
+    ops::LabelSmoothGPUKernel<paddle::platform::CUDADeviceContext, float>,
+    ops::LabelSmoothGPUKernel<paddle::platform::CUDADeviceContext, double>);
 REGISTER_OP_CUDA_KERNEL(
     label_smooth_grad,
-    ops::LabelSmoothGradKernel<paddle::platform::CUDADeviceContext, float>,
-    ops::LabelSmoothGradKernel<paddle::platform::CUDADeviceContext, double>);
+    ops::LabelSmoothGradGPUKernel<paddle::platform::CUDADeviceContext, float>,
+    ops::LabelSmoothGradGPUKernel<paddle::platform::CUDADeviceContext, double>);
-- 
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