[phi] move shape op (#40248)

* add selected row op and fix bug in ctest

* modify the date

* fix bug in npu and xpu

* modfiy the include file

paddle/fluid/operators/mkldnn/shape_mkldnn_op.cc

@@ -13,19 +13,32 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/operators/shape_op.h"
 #include "paddle/fluid/platform/mkldnn_helper.h"
 
 namespace paddle {
 namespace operators {
 
-using paddle::framework::Tensor;
+using Tensor = framework::Tensor;
+using LoDTensor = framework::LoDTensor;
+using SelectedRows = phi::SelectedRows;
 
 template <typename T>
-class ShapeMKLDNNKernel : public ShapeKernel<T> {
+class ShapeMKLDNNKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
-    ShapeKernel<T>::Compute(ctx);
+    auto* in_var = ctx.InputVar("Input");
+    framework::DDim in_dims;
+    if (in_var->IsType<phi::SelectedRows>()) {
+      in_dims = in_var->Get<phi::SelectedRows>().value().dims();
+    } else {
+      in_dims = in_var->Get<LoDTensor>().dims();
+    }
+    auto* out_t = ctx.Output<Tensor>("Out");
+    out_t->Resize({in_dims.size()});
+    auto out_data = out_t->mutable_data<int32_t>(platform::CPUPlace());
+    for (int i = 0; i < in_dims.size(); ++i) {
+      out_data[i] = in_dims[i];
+    }
 
     auto* out = ctx.Output<Tensor>("Out");
     out->set_layout(framework::DataLayout::kMKLDNN);

paddle/fluid/operators/shape_op.cc

@@ -12,10 +12,8 @@ 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/fluid/operators/shape_op.h"
 #include <string>
 #include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/platform/complex.h"
 
 namespace paddle {
 namespace operators {
@@ -95,9 +93,3 @@ REGISTER_OPERATOR(
     shape, ops::ShapeOp, ops::ShapeOpMaker,
     paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
     paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
-REGISTER_OP_CPU_KERNEL(shape, ops::ShapeKernel<bool>, ops::ShapeKernel<int>,
-                       ops::ShapeKernel<int8_t>, ops::ShapeKernel<uint8_t>,
-                       ops::ShapeKernel<int64_t>, ops::ShapeKernel<float>,
-                       ops::ShapeKernel<double>,
-                       ops::ShapeKernel<plat::complex<float>>,
-                       ops::ShapeKernel<plat::complex<double>>);

paddle/fluid/operators/shape_op_npu.cc

@@ -12,7 +12,7 @@ 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/fluid/operators/shape_op.h"
+#include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/platform/device/npu/npu_op_runner.h"
 
 namespace paddle {

paddle/fluid/operators/shape_op_xpu.cc

@@ -10,12 +10,41 @@
  *     limitations under the License. */
 
 #ifdef PADDLE_WITH_XPU
+#include <algorithm>
+#include "paddle/fluid/framework/op_registry.h"
 
-#include "paddle/fluid/operators/shape_op.h"
+namespace paddle {
+namespace operators {
+
+using Tensor = framework::Tensor;
+using LoDTensor = framework::LoDTensor;
+using SelectedRows = phi::SelectedRows;
+
+template <typename T>
+class ShapeXPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    auto* in_var = ctx.InputVar("Input");
+    framework::DDim in_dims;
+    if (in_var->IsType<phi::SelectedRows>()) {
+      in_dims = in_var->Get<phi::SelectedRows>().value().dims();
+    } else {
+      in_dims = in_var->Get<LoDTensor>().dims();
+    }
+    auto* out_t = ctx.Output<Tensor>("Out");
+    out_t->Resize({in_dims.size()});
+    auto out_data = out_t->mutable_data<int32_t>(platform::CPUPlace());
+    for (int i = 0; i < in_dims.size(); ++i) {
+      out_data[i] = in_dims[i];
+    }
+  }
+};
+}  // namespace operators
+}  // namespace paddle
 
 namespace ops = paddle::operators;
-REGISTER_OP_XPU_KERNEL(shape, ops::ShapeKernel<bool>, ops::ShapeKernel<int>,
-                       ops::ShapeKernel<int64_t>, ops::ShapeKernel<float>,
-                       ops::ShapeKernel<double>);
+REGISTER_OP_XPU_KERNEL(shape, ops::ShapeXPUKernel<bool>,
+                       ops::ShapeXPUKernel<int>, ops::ShapeXPUKernel<int64_t>,
+                       ops::ShapeXPUKernel<float>, ops::ShapeXPUKernel<double>);
 
 #endif

paddle/phi/kernels/cpu/shape_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/shape_kernel.h"
+#include "paddle/phi/kernels/impl/shape_kernel_impl.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+PD_REGISTER_KERNEL(shape,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::ShapeKernel,
+                   bool,
+                   int,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   float,
+                   double,
+                   phi::dtype::complex<float>,
+                   phi::dtype::complex<double>) {}

paddle/phi/kernels/gpu/shape_kernel.cu

+/* 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/shape_kernel.h"
+
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/common/float16.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/shape_kernel_impl.h"
+
+PD_REGISTER_KERNEL(shape,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ShapeKernel,
+                   bool,
+                   int,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   float,
+                   double,
+                   phi::dtype::complex<float>,
+                   phi::dtype::complex<double>,
+                   phi::dtype::float16) {}

paddle/fluid/operators/shape_op.cu → paddle/phi/kernels/impl/shape_kernel_impl.h

-/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+/* 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.
@@ -12,16 +12,25 @@ 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/fluid/operators/shape_op.h"
-#include "paddle/fluid/platform/complex.h"
-
-REGISTER_OP_CUDA_KERNEL(
-    shape, paddle::operators::ShapeKernel<bool>,
-    paddle::operators::ShapeKernel<int>, paddle::operators::ShapeKernel<int8_t>,
-    paddle::operators::ShapeKernel<uint8_t>,
-    paddle::operators::ShapeKernel<int64_t>,
-    paddle::operators::ShapeKernel<float>,
-    paddle::operators::ShapeKernel<double>,
-    paddle::operators::ShapeKernel<paddle::platform::float16>,
-    paddle::operators::ShapeKernel<paddle::platform::complex<float>>,
-    paddle::operators::ShapeKernel<paddle::platform::complex<double>>);
+#pragma once
+
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ShapeKernel(const Context& ctx,
+                 const DenseTensor& input,
+                 DenseTensor* out) {
+  auto in_var = &input;
+  phi::DDim in_dims;
+  in_dims = in_var->dims();
+  auto out_t = out;
+  out_t->Resize({in_dims.size()});
+  auto out_data = ctx.template HostAlloc<int32_t>(out_t);
+  for (int i = 0; i < in_dims.size(); ++i) {
+    out_data[i] = in_dims[i];
+  }
+}
+
+}  // namespace phi

paddle/phi/kernels/selected_rows/shape_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/selected_rows/shape_kernel.h"
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/common/float16.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+namespace sr {
+
+template <typename T, typename Context>
+void ShapeKernel(const Context& ctx,
+                 const SelectedRows& input,
+                 DenseTensor* out) {
+  auto in_var = input;
+  phi::DDim in_dims;
+  in_dims = in_var.value().dims();
+  auto out_t = out;
+  out_t->Resize({in_dims.size()});
+  auto out_data = ctx.template HostAlloc<int32_t>(out_t);
+  for (int i = 0; i < in_dims.size(); ++i) {
+    out_data[i] = in_dims[i];
+  }
+}
+
+}  // namespace sr
+}  // namespace phi
+
+PD_REGISTER_KERNEL(shape_sr,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sr::ShapeKernel,
+                   bool,
+                   int,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   float,
+                   double,
+                   phi::dtype::complex<float>,
+                   phi::dtype::complex<double>) {}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(shape_sr,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sr::ShapeKernel,
+                   bool,
+                   int,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   float,
+                   double,
+                   phi::dtype::complex<float>,
+                   phi::dtype::complex<double>) {}
+#endif

paddle/fluid/operators/shape_op.h → paddle/phi/kernels/selected_rows/shape_kernel.h

-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
+/* 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.
@@ -13,34 +13,16 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #pragma once
-#include <algorithm>
-#include "paddle/fluid/framework/op_registry.h"
-
-namespace paddle {
-namespace operators {
-
-using Tensor = framework::Tensor;
-using LoDTensor = framework::LoDTensor;
-using SelectedRows = phi::SelectedRows;
-
-template <typename T>
-class ShapeKernel : public framework::OpKernel<T> {
- public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
-    auto* in_var = ctx.InputVar("Input");
-    framework::DDim in_dims;
-    if (in_var->IsType<phi::SelectedRows>()) {
-      in_dims = in_var->Get<phi::SelectedRows>().value().dims();
-    } else {
-      in_dims = in_var->Get<LoDTensor>().dims();
-    }
-    auto* out_t = ctx.Output<Tensor>("Out");
-    out_t->Resize({in_dims.size()});
-    auto out_data = out_t->mutable_data<int32_t>(platform::CPUPlace());
-    for (int i = 0; i < in_dims.size(); ++i) {
-      out_data[i] = in_dims[i];
-    }
-  }
-};
-}  // namespace operators
-}  // namespace paddle
+
+#include "paddle/phi/core/selected_rows.h"
+
+namespace phi {
+namespace sr {
+
+template <typename T, typename Context>
+void ShapeKernel(const Context& ctx,
+                 const SelectedRows& input,
+                 DenseTensor* out);
+
+}  // namespace sr
+}  // namespace phi

paddle/phi/kernels/shape_kernel.h

+// 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.
+
+#pragma once
+
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ShapeKernel(const Context& ctx,
+                 const DenseTensor& input,
+                 DenseTensor* out);
+
+}  // namespace phi