replace last contextT (PaddlePaddle#38971)

jiweibo · Jan 15, 2022 · 1053b1d · 1053b1d
1 parent 88966b2
commit 1053b1d
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Showing 3 changed files with 18 additions and 18 deletions.
diff --git a/paddle/pten/kernels/gpu/scale_kernel.cu b/paddle/pten/kernels/gpu/scale_kernel.cu
@@ -43,8 +43,8 @@ struct ScaleFunctor {
   }
 };
 
-template <typename T, typename ContextT>
-void ScaleKernel(const ContextT& dev_ctx,
+template <typename T, typename Context>
+void ScaleKernel(const Context& dev_ctx,
                  const DenseTensor& x,
                  const Scalar& scale,
                  float bias,

diff --git a/paddle/pten/kernels/math_kernel.h b/paddle/pten/kernels/math_kernel.h
@@ -67,8 +67,8 @@ void SumKernel(const Context& dev_ctx,
                DataType out_dtype,
                DenseTensor* out);
 
-template <typename T, typename ContextT>
-DenseTensor Add(const ContextT& dev_ctx,
+template <typename T, typename Context>
+DenseTensor Add(const Context& dev_ctx,
                 const DenseTensor& x,
                 const DenseTensor& y,
                 int axis) {
@@ -77,12 +77,12 @@ DenseTensor Add(const ContextT& dev_ctx,
       pten::make_intrusive<paddle::experimental::SharedStorage>(
           dev_ctx.GetPlace()),
       std::move(out_meta));
-  AddKernel<T, ContextT>(dev_ctx, x, y, axis, &dense_out);
+  AddKernel<T, Context>(dev_ctx, x, y, axis, &dense_out);
   return dense_out;
 }
 
-template <typename T, typename ContextT>
-DenseTensor Subtract(const ContextT& dev_ctx,
+template <typename T, typename Context>
+DenseTensor Subtract(const Context& dev_ctx,
                      const DenseTensor& x,
                      const DenseTensor& y,
                      int axis) {
@@ -91,12 +91,12 @@ DenseTensor Subtract(const ContextT& dev_ctx,
       pten::make_intrusive<paddle::experimental::SharedStorage>(
           dev_ctx.GetPlace()),
       std::move(out_meta));
-  SubtractKernel<T, ContextT>(dev_ctx, x, y, axis, &dense_out);
+  SubtractKernel<T, Context>(dev_ctx, x, y, axis, &dense_out);
   return dense_out;
 }
 
-template <typename T, typename ContextT>
-DenseTensor Divide(const ContextT& dev_ctx,
+template <typename T, typename Context>
+DenseTensor Divide(const Context& dev_ctx,
                    const DenseTensor& x,
                    const DenseTensor& y,
                    int axis) {
@@ -105,12 +105,12 @@ DenseTensor Divide(const ContextT& dev_ctx,
       pten::make_intrusive<paddle::experimental::SharedStorage>(
           dev_ctx.GetPlace()),
       std::move(out_meta));
-  DivideKernel<T, ContextT>(dev_ctx, x, y, axis, &dense_out);
+  DivideKernel<T, Context>(dev_ctx, x, y, axis, &dense_out);
   return dense_out;
 }
 
-template <typename T, typename ContextT>
-DenseTensor Multiply(const ContextT& dev_ctx,
+template <typename T, typename Context>
+DenseTensor Multiply(const Context& dev_ctx,
                      const DenseTensor& x,
                      const DenseTensor& y,
                      int axis) {
@@ -119,7 +119,7 @@ DenseTensor Multiply(const ContextT& dev_ctx,
       pten::make_intrusive<paddle::experimental::SharedStorage>(
           dev_ctx.GetPlace()),
       std::move(out_meta));
-  MultiplyKernel<T, ContextT>(dev_ctx, x, y, axis, &dense_out);
+  MultiplyKernel<T, Context>(dev_ctx, x, y, axis, &dense_out);
   return dense_out;
 }
 

diff --git a/paddle/pten/kernels/scale_kernel.h b/paddle/pten/kernels/scale_kernel.h
@@ -28,15 +28,15 @@ void ScaleKernel(const Context& dev_ctx,
                  bool bias_after_scale,
                  DenseTensor* out);
 
-template <typename T, typename ContextT>
-DenseTensor Scale(const ContextT& dev_ctx,
+template <typename T, typename Context>
+DenseTensor Scale(const Context& dev_ctx,
                   const DenseTensor& x,
                   const Scalar& scale,
                   float bias,
                   bool bias_after_scale) {
   auto out_meta = UnchangedInferMeta(x.meta());
-  auto dense_out = pten::Empty<T, ContextT>(dev_ctx, std::move(out_meta));
-  ScaleKernel<T, ContextT>(
+  auto dense_out = pten::Empty<T, Context>(dev_ctx, std::move(out_meta));
+  ScaleKernel<T, Context>(
       dev_ctx, x, scale, bias, bias_after_scale, &dense_out);
   return dense_out;
 }