chore: import upstream snapshot with attribution

paddle/phi/kernels/xpu/log_softmax_kernel.cc

@@ -0,0 +1,56 @@
+// 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/log_softmax_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/axis_utils.h"
+#include "paddle/phi/kernels/funcs/math_function.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void LogSoftmaxKernel(const Context& dev_ctx,
+                      const DenseTensor& x,
+                      int axis,
+                      DenseTensor* out) {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  const int rank = x.dims().size();
+  axis = funcs::CanonicalAxis(axis, rank);
+
+  // For 0D Tensor
+  if (rank == 0) {
+    dev_ctx.template Alloc<T>(out);
+    funcs::set_constant(dev_ctx, out, static_cast<T>(0.0));
+    return;
+  }
+  if (x.numel() != 0) {
+    auto x_shape = vectorize<int64_t>(x.dims());
+    dev_ctx.template Alloc<T>(out);
+    if (axis < 0) axis += rank;
+    int r =
+        xpu::log_softmax<XPUType>(dev_ctx.x_context(),
+                                  reinterpret_cast<const XPUType*>(x.data<T>()),
+                                  reinterpret_cast<XPUType*>(out->data<T>()),
+                                  x_shape,
+                                  axis);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "log_softmax");
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(log_softmax, XPU, ALL_LAYOUT, phi::LogSoftmaxKernel, float) {
+}