[phi] Migrate masked_select XPU kernel to phi (#45575)

* test=kunlun

* test=kunlun

paddle/fluid/operators/masked_select_op_xpu.cc

-/* Copyright (c) 2021 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. */
-
-#ifdef PADDLE_WITH_XPU
-
-#include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/platform/device/device_wrapper.h"
-
-namespace paddle {
-namespace operators {
-
-template <typename T>
-class MaskedSelectXPUKernel : public framework::OpKernel<T> {
-  using XPUType = typename XPUTypeTrait<T>::Type;
-
- public:
-  void Compute(const framework::ExecutionContext& context) const override {
-    auto input = context.Input<framework::Tensor>("X");
-    auto mask = context.Input<framework::Tensor>("Mask");
-    auto out = context.Output<framework::Tensor>("Y");
-    auto* mask_data = mask->data<bool>();
-    auto* input_data = reinterpret_cast<const XPUType*>(input->data<T>());
-    auto input_dim = input->dims();
-    auto mask_dim = mask->dims();
-    PADDLE_ENFORCE_EQ(
-        input_dim,
-        mask_dim,
-        platform::errors::InvalidArgument(
-            "The dim size of input and mask in OP(masked_selected) "
-            "must be equal, but got input dim:(%ld), mask dim: "
-            "(%ld). Please check input "
-            "value.",
-            input_dim,
-            mask_dim));
-    auto& dev_ctx =
-        context.template device_context<paddle::platform::XPUDeviceContext>();
-    xpu::ctx_guard RAII_GUARD(dev_ctx.x_context());
-    int* out_size = RAII_GUARD.alloc_l3_or_gm<int32_t>(1);
-    int out_size_cpu;
-
-    PADDLE_ENFORCE_XDNN_SUCCESS(
-        xpu::nonzero_count(
-            dev_ctx.x_context(), mask_data, out_size, mask->numel()),
-        "nonzero_count ");
-    memory::Copy(platform::CPUPlace(),
-                 static_cast<void*>(&out_size_cpu),
-                 mask->place(),
-                 static_cast<void*>(out_size),
-                 sizeof(int32_t));
-
-    framework::DDim out_dim{out_size_cpu};
-    out->Resize(out_dim);
-    auto out_data =
-        reinterpret_cast<XPUType*>(out->mutable_data<T>(context.GetPlace()));
-
-    auto input_shape = phi::vectorize<int>(input_dim);
-    auto mask_shape = phi::vectorize<int>(mask_dim);
-
-    PADDLE_ENFORCE_XDNN_SUCCESS(xpu::masked_select(dev_ctx.x_context(),
-                                                   input_data,
-                                                   mask_data,
-                                                   out_data,
-                                                   input_shape,
-                                                   mask_shape,
-                                                   out_size_cpu),
-                                "masked_select");
-  }
-};
-
-}  // namespace operators
-}  // namespace paddle
-
-namespace ops = paddle::operators;
-namespace plat = paddle::platform;
-REGISTER_OP_XPU_KERNEL(masked_select,
-                       ops::MaskedSelectXPUKernel<float>,
-                       ops::MaskedSelectXPUKernel<paddle::platform::float16>,
-                       ops::MaskedSelectXPUKernel<int>,
-                       ops::MaskedSelectXPUKernel<int64_t>);
-#endif

paddle/phi/kernels/xpu/masked_select_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/phi/kernels/masked_select_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+#include "paddle/fluid/memory/memcpy.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void MaskedSelectKernel(const Context& dev_ctx,
+                        const DenseTensor& x,
+                        const DenseTensor& mask,
+                        DenseTensor* out) {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  auto input = &x;
+  auto* mask_data = mask.data<bool>();
+  auto* input_data = reinterpret_cast<const XPUType*>(input->data<T>());
+  auto input_dim = input->dims();
+  auto mask_dim = mask.dims();
+  PADDLE_ENFORCE_EQ(input_dim,
+                    mask_dim,
+                    phi::errors::InvalidArgument(
+                        "The dim size of input and mask in OP(masked_selected) "
+                        "must be equal, but got input dim:(%ld), mask dim: "
+                        "(%ld). Please check input "
+                        "value.",
+                        input_dim,
+                        mask_dim));
+  xpu::ctx_guard RAII_GUARD(dev_ctx.x_context());
+  int* out_size = RAII_GUARD.alloc_l3_or_gm<int32_t>(1);
+  int out_size_cpu;
+
+  PADDLE_ENFORCE_XDNN_SUCCESS(
+      xpu::nonzero_count(
+          dev_ctx.x_context(), mask_data, out_size, mask.numel()),
+      "nonzero_count ");
+  paddle::memory::Copy(phi::CPUPlace(),
+                       static_cast<void*>(&out_size_cpu),
+                       mask.place(),
+                       static_cast<void*>(out_size),
+                       sizeof(int32_t));
+
+  DDim out_dim{out_size_cpu};
+  out->Resize(out_dim);
+  auto out_data = reinterpret_cast<XPUType*>(dev_ctx.template Alloc<T>(out));
+
+  auto input_shape = vectorize<int>(input_dim);
+  auto mask_shape = vectorize<int>(mask_dim);
+
+  PADDLE_ENFORCE_XDNN_SUCCESS(xpu::masked_select(dev_ctx.x_context(),
+                                                 input_data,
+                                                 mask_data,
+                                                 out_data,
+                                                 input_shape,
+                                                 mask_shape,
+                                                 out_size_cpu),
+                              "masked_select");
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(masked_select,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::MaskedSelectKernel,
+                   float,
+                   phi::dtype::float16,
+                   int,
+                   int64_t) {
+  kernel->InputAt(1).SetDataType(phi::DataType::BOOL);
+}