[phi] move is_empty to phi

paddle/fluid/operators/is_empty_op.cc

@@ -12,9 +12,11 @@ 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/is_empty_op.h"
+#include "paddle/fluid/framework/infershape_utils.h"
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/framework/operator.h"
+#include "paddle/phi/core/infermeta_utils.h"
+#include "paddle/phi/infermeta/unary.h"
 
 namespace paddle {
 namespace operators {
@@ -24,12 +26,6 @@ class IsEmptyOp : public framework::OperatorWithKernel {
  using framework::OperatorWithKernel::OperatorWithKernel;
 
  protected:
- void InferShape(framework::InferShapeContext *ctx) const override {
- OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "IsEmpty");
- OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "IsEmpty");
- ctx->SetOutputDim("Out", {1});
- }
-
  framework::OpKernelType GetExpectedKernelType(
  const framework::ExecutionContext &ctx) const override {
  auto *x = ctx.Input<framework::LoDTensor>("X");
@@ -56,12 +52,10 @@ It will just return product(tensor.ddims()) > 0;
 } // namespace paddle
 
 namespace ops = paddle::operators;
+DELCARE_INFER_SHAPE_FUNCTOR(is_empty, IsEmptyInferShapeFunctor,
+ PT_INFER_META(phi::IsEmptyInferMeta));
 REGISTER_OPERATOR(
  is_empty, ops::IsEmptyOp, ops::IsEmptyOpMaker,
  paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
- paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
-REGISTER_OP_CPU_KERNEL(
- is_empty, ops::IsEmptyOpKernel<paddle::platform::CPUDeviceContext, float>,
- ops::IsEmptyOpKernel<paddle::platform::CPUDeviceContext, double>,
- ops::IsEmptyOpKernel<paddle::platform::CPUDeviceContext, int>,
- ops::IsEmptyOpKernel<paddle::platform::CPUDeviceContext, int64_t>);
+ paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
+ IsEmptyInferShapeFunctor);

paddle/fluid/operators/is_empty_op.h

@@ -1,11 +1,8 @@
 /* Copyright (c) 2016 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.

paddle/phi/infermeta/unary.cc

@@ -16,6 +16,7 @@ limitations under the License. */
 
 #include <algorithm>
 #include <set>
+
 #include "paddle/phi/common/data_type.h"
 #include "paddle/phi/core/enforce.h"
 #include "paddle/phi/core/infermeta_utils.h"
@@ -268,6 +269,11 @@ void InferMetaFromVecValue(const MetaTensor& x,
  }
 }
 
+void IsEmptyInferMeta(const MetaTensor& x, MetaTensor* out) {
+ out->set_dims(phi::make_ddim({1}));
+ out->set_dtype(DataType::BOOL);
+}
+
 void MultinomialInferMeta(const MetaTensor& x,
  int num_samples,
  bool replacement,

paddle/phi/infermeta/unary.h

@@ -56,6 +56,8 @@ void InferMetaFromVecValue(const MetaTensor& x,
  const std::vector<int64_t>& shape,
  MetaTensor* out);
 
+void IsEmptyInferMeta(const MetaTensor& x, MetaTensor* out);
+
 void MultinomialInferMeta(const MetaTensor& x,
  int num_samples,
  bool replacement,

paddle/phi/kernels/is_empty_kernel.cc

@@ -0,0 +1,52 @@
+// 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/is_empty_kernel.h"
+
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void IsEmptyKernel(const Context& dev_ctx,
+ const DenseTensor& x,
+ DenseTensor* out) {
+ // Note: is_empty is always executed on CPU and the output data should
+ // always be allocated for CPUPlace. We reigister CUDA kernel for this op to
+ // avoid the unnecessary data transform.
+ out->mutable_data<bool>(phi::CPUPlace())[0] = phi::product(x.dims()) == 0;
+}
+
+} // namespace phi
+
+PD_REGISTER_KERNEL(is_empty,
+ CPU,
+ ALL_LAYOUT,
+ phi::IsEmptyKernel,
+ float,
+ double,
+ int,
+ int64_t) {}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(is_empty,
+ GPU,
+ ALL_LAYOUT,
+ phi::IsEmptyKernel,
+ float,
+ double,
+ int,
+ int64_t) {}
+#endif

paddle/phi/kernels/is_empty_kernel.h

@@ -0,0 +1,24 @@
+// 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 IsEmptyKernel(const Context& ctx, const DenseTensor& x, DenseTensor* out);
+
+} // namespace phi