[pten] add Scale xpu kernel (#39092)

* add scale xpu kernel

* add scale xpu kernel

* add scale xpu kernel

* replace with pten scale kernel

* change dev_ctx

* modify float16 head path

* remove unused xpu header

paddle/fluid/operators/scale_op_xpu.cc

@@ -16,7 +16,7 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/scale_op.h"
 #include <string>
-#include "paddle/fluid/platform/device/xpu/xpu_header.h"
+#include "paddle/pten/kernels/scale_kernel.h"
 
 namespace paddle {
 namespace operators {
@@ -41,21 +41,12 @@ class ScaleXPUKernel : public framework::OpKernel<T> {
     auto* out =
         framework::GetMutableLoDTensorOrSelectedRowsValueFromVar(out_var);
     out->mutable_data<T>(in->place());
-    PADDLE_ENFORCE_EQ(
-        in->dims(), out->dims(),
-        platform::errors::InvalidArgument("In and out should have the same dim,"
-                                          " expected %s, but got %s.",
-                                          in->dims().to_str().c_str(),
-                                          out->dims().to_str().c_str()));
     auto& dev_ctx = ctx.template device_context<DeviceContext>();
-    int r = xpu::scale(dev_ctx.x_context(),
-                       reinterpret_cast<const XPUType*>(in->data<T>()),
-                       reinterpret_cast<XPUType*>(out->data<T>()), in->numel(),
-                       bias_after_scale, scale, bias);
-    PADDLE_ENFORCE_EQ(
-        r, XPU_SUCCESS,
-        platform::errors::External("XPU scale kernel return wrong value[%d %s]",
-                                   r, XPUAPIErrorMsg[r]));
+    // call pten kernel
+    pten::ScaleKernel<T>(
+        static_cast<const typename framework::ConvertToPtenContext<
+            DeviceContext>::TYPE&>(dev_ctx),
+        *in, scale, bias, bias_after_scale, out);
   }
 };
 

paddle/pten/kernels/xpu/scale_kernel.cc

+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// 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/pten/kernels/scale_kernel.h"
+
+#include "paddle/fluid/platform/device/xpu/xpu_header.h"
+#include "paddle/pten/backends/xpu/xpu_context.h"
+#include "paddle/pten/common/data_type.h"
+#include "paddle/pten/common/float16.h"
+#include "paddle/pten/core/convert_utils.h"
+#include "paddle/pten/core/kernel_registry.h"
+
+namespace pten {
+
+template <typename T, typename Context>
+void ScaleKernel(const Context& dev_ctx,
+                 const DenseTensor& x,
+                 const Scalar& scale,
+                 float bias,
+                 bool bias_after_scale,
+                 DenseTensor* out) {
+  out->mutable_data<T>(dev_ctx.GetPlace());
+
+  PADDLE_ENFORCE_EQ(x.dims(),
+                    out->dims(),
+                    paddle::platform::errors::InvalidArgument(
+                        "In and out should have the same dim,"
+                        " expected %s, but got %s.",
+                        x.dims().to_str().c_str(),
+                        out->dims().to_str().c_str()));
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  int r = xpu::scale(dev_ctx.x_context(),
+                     reinterpret_cast<const XPUType*>(x.data<T>()),
+                     reinterpret_cast<XPUType*>(out->data<T>()),
+                     x.numel(),
+                     bias_after_scale,
+                     scale.to<float>(),
+                     bias);
+  PADDLE_ENFORCE_EQ(
+      r,
+      XPU_SUCCESS,
+      paddle::platform::errors::External(
+          "XPU scale kernel return wrong value[%d %s]", r, XPUAPIErrorMsg[r]));
+}
+
+}  // namespace pten
+
+PT_REGISTER_KERNEL(scale,
+                   XPU,
+                   ALL_LAYOUT,
+                   pten::ScaleKernel,
+                   float,
+                   pten::dtype::float16,
+                   int64_t) {}