chore: import upstream snapshot with attribution

paddle/phi/kernels/selected_rows/uniform_kernel.cc

@@ -0,0 +1,106 @@
+/* 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/phi/kernels/selected_rows/uniform_kernel.h"
+#include "paddle/phi/kernels/legacy/uniform_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/uniform_kernel.h"
+
+namespace phi::sr {
+
+template <typename T, typename Context>
+void UniformRawKernel(const Context& dev_ctx,
+                      const IntArray& shape,
+                      DataType dtype,
+                      const Scalar& min,
+                      const Scalar& max,
+                      int seed,
+                      int diag_num,
+                      int diag_step,
+                      float diag_val,
+                      SelectedRows* out) {
+  phi::UniformRawKernel<T>(dev_ctx,
+                           shape,
+                           dtype,
+                           min,
+                           max,
+                           seed,
+                           diag_num,
+                           diag_step,
+                           diag_val,
+                           out->mutable_value());
+}
+
+template <typename T, typename Context>
+void UniformKernel(const Context& dev_ctx,
+                   const IntArray& shape,
+                   DataType dtype,
+                   const Scalar& min,
+                   const Scalar& max,
+                   int seed,
+                   SelectedRows* out) {
+  phi::UniformKernel<T>(
+      dev_ctx, shape, dtype, min, max, seed, out->mutable_value());
+}
+
+}  // namespace phi::sr
+
+PD_REGISTER_KERNEL(uniform_raw_sr,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sr::UniformRawKernel,
+                   float,
+                   double,
+                   phi::bfloat16) {}
+
+PD_REGISTER_KERNEL(uniform_sr,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sr::UniformKernel,
+                   float,
+                   double,
+                   phi::bfloat16) {}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+
+PD_REGISTER_KERNEL(uniform_raw_sr,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sr::UniformRawKernel,
+                   float,
+                   double,
+                   phi::float16,
+                   phi::bfloat16) {}
+
+PD_REGISTER_KERNEL(uniform_sr,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sr::UniformKernel,
+                   float,
+                   double,
+                   phi::float16,
+                   phi::bfloat16) {}
+#endif
+
+#if defined(PADDLE_WITH_XPU)
+
+PD_REGISTER_KERNEL(
+    uniform_raw_sr, XPU, ALL_LAYOUT, phi::sr::UniformRawKernel, float) {}
+
+PD_REGISTER_KERNEL(uniform_sr, XPU, ALL_LAYOUT, phi::sr::UniformKernel, float) {
+}
+#endif