[phi] move isnan_v2、isfinite_v2、isinf_v2 to phi

paddle/fluid/operators/isfinite_v2_op.cc

@@ -12,11 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/operators/isfinite_v2_op.h"
-
 #include <string>
 
+#include "paddle/fluid/framework/infershape_utils.h"
+#include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/operators/common_infer_shape_functions.h"
+#include "paddle/phi/core/infermeta_utils.h"
+#include "paddle/phi/infermeta/unary.h"
 
 namespace paddle {
 namespace framework {
@@ -49,11 +51,6 @@ class OverflowV2Op : public framework::OperatorWithKernel {
                const framework::VariableNameMap &outputs,
                const framework::AttributeMap &attrs)
       : OperatorWithKernel(type, inputs, outputs, attrs) {}
-  void InferShape(framework::InferShapeContext *ctx) const override {
-    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "isfinitev2");
-    OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "isfinitev2");
-    UnaryOpUnchangedInferShape(ctx);
-  }
 
  protected:
   framework::OpKernelType GetExpectedKernelType(
@@ -104,6 +101,14 @@ element of X as a tensor.
 }  // namespace paddle
 
 namespace ops = paddle::operators;
+DECLARE_INFER_SHAPE_FUNCTOR(isinf_v2, IsinfInferShapeFunctor,
+                            PD_INFER_META(phi::IsfiniteInferMeta));
+
+DECLARE_INFER_SHAPE_FUNCTOR(isnan_v2, IsnanInferShapeFunctor,
+                            PD_INFER_META(phi::IsfiniteInferMeta));
+
+DECLARE_INFER_SHAPE_FUNCTOR(isfinite_v2, IsfiniteInferShapeFunctor,
+                            PD_INFER_META(phi::IsfiniteInferMeta));
 
 #define REGISTER_V2OP_MAKER(op_type, comment)           \
   namespace paddle {                                    \
@@ -124,50 +129,17 @@ REGISTER_V2OP_MAKER(isfinite_v2, "isfinitev2(X)");
 REGISTER_OPERATOR(
     isinf_v2, ops::OverflowV2Op, ops::_isinf_v2OverflowV2OpMaker,
     paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
-    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
+    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
+    IsinfInferShapeFunctor);
 
 REGISTER_OPERATOR(
     isnan_v2, ops::OverflowV2Op, ops::_isnan_v2OverflowV2OpMaker,
     paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
-    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
+    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
+    IsnanInferShapeFunctor);
 
 REGISTER_OPERATOR(
     isfinite_v2, ops::OverflowV2Op, ops::_isfinite_v2OverflowV2OpMaker,
     paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
-    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
-
-REGISTER_OP_CPU_KERNEL(isnan_v2,
-                       ops::OverflowKernel<paddle::platform::CPUDeviceContext,
-                                           int, ops::NANV2Functor>,
-                       ops::OverflowKernel<paddle::platform::CPUDeviceContext,
-                                           int64_t, ops::NANV2Functor>,
-                       ops::OverflowKernel<paddle::platform::CPUDeviceContext,
-                                           float, ops::NANV2Functor>,
-                       ops::OverflowKernel<paddle::platform::CPUDeviceContext,
-                                           double, ops::NANV2Functor>,
-                       ops::OverflowKernel<paddle::platform::CPUDeviceContext,
-                                           plat::float16, ops::NANV2Functor>);
-
-REGISTER_OP_CPU_KERNEL(
-    isinf_v2, ops::OverflowKernel<paddle::platform::CPUDeviceContext, int,
-                                  ops::InfinityV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, int64_t,
-                        ops::InfinityV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, float,
-                        ops::InfinityV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, double,
-                        ops::InfinityV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, plat::float16,
-                        ops::InfinityV2Functor>);
-
-REGISTER_OP_CPU_KERNEL(
-    isfinite_v2, ops::OverflowKernel<paddle::platform::CPUDeviceContext, int,
-                                     ops::IsfiniteV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, int64_t,
-                        ops::IsfiniteV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, float,
-                        ops::IsfiniteV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, double,
-                        ops::IsfiniteV2Functor>,
-    ops::OverflowKernel<paddle::platform::CPUDeviceContext, plat::float16,
-                        ops::IsfiniteV2Functor>);
+    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
+    IsfiniteInferShapeFunctor);

paddle/phi/core/compat/op_utils.h

@@ -40,6 +40,9 @@ const std::unordered_set<std::string> standard_kernel_suffixs({
 const std::unordered_set<std::string> deprecated_op_names({"diag",
                                                            "flatten",
                                                            "flatten_grad",
+                                                           "isinf",
+                                                           "isnan",
+                                                           "isfinite",
                                                            "matmul",
                                                            "matmul_grad",
                                                            "matmul_grad_grad",

paddle/phi/infermeta/unary.cc

@@ -983,6 +983,11 @@ void SizeInferMeta(const MetaTensor& input, MetaTensor* out) {
   out->set_dims({1});
 }
 
+void IsfiniteInferMeta(const MetaTensor& x, MetaTensor* out) {
+  out->set_dims(x.dims());
+  out->set_dtype(DataType::BOOL);
+}
+
 void PixelShuffleInferMeta(const MetaTensor& x,
                            int upscale_factor,
                            const std::string& data_format,

paddle/phi/infermeta/unary.h

@@ -148,6 +148,8 @@ void PixelShuffleInferMeta(const MetaTensor& x,
                            const std::string& data_format,
                            MetaTensor* out);
 
+void IsfiniteInferMeta(const MetaTensor& input, MetaTensor* out);
+
 void TransposeInferMeta(const MetaTensor& x,
                         const std::vector<int>& axis,
                         MetaTensor* out);

paddle/phi/kernels/cpu/isfinite_kernel.cc

@@ -0,0 +1,62 @@
+// 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/isfinite_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/isfinite_kernel_impl.h"
+
+namespace phi {
+
+template <typename T, typename Context, typename Functor>
+inline void IsfiniteKernelImpl(const Context& dev_ctx,
+                               const DenseTensor& x,
+                               DenseTensor* out) {
+  dev_ctx.template Alloc<T>(out);
+  Functor functor;
+  functor(x, out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(isinf,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::IsinfKernel,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   int,
+                   int64_t) {}
+
+PD_REGISTER_KERNEL(isnan,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::IsnanKernel,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   int,
+                   int64_t) {}
+
+PD_REGISTER_KERNEL(isfinite,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::IsfiniteKernel,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   int,
+                   int64_t) {}

paddle/fluid/operators/isfinite_v2_op.h → paddle/phi/kernels/funcs/isfinite_functor.h

@@ -1,4 +1,4 @@
-// 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.
@@ -14,39 +14,32 @@
 
 #pragma once
 
-#include <vector>
-
-#include "paddle/fluid/framework/eigen.h"
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/framework/tensor_util.h"
-#include "paddle/fluid/operators/isfinite_op.h"
-#include "paddle/fluid/platform/float16.h"
-#include "paddle/fluid/platform/transform.h"
+#include "paddle/phi/common/scalar.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/infermeta/unary.h"
 
 namespace phi {
-class DenseTensor;
-}  // namespace phi
-
-namespace paddle {
-namespace operators {
+namespace funcs {
 
 struct InfinityV2Functor {
-  void operator()(const framework::Tensor& tensor, framework::Tensor* out) {
-    framework::TensorContainsInfV2(tensor, out);
+  void operator()(const DenseTensor& tensor, DenseTensor* out) {
+    paddle::framework::TensorContainsInfV2(tensor, out);
   }
 };
 
 struct NANV2Functor {
-  void operator()(const framework::Tensor& tensor, framework::Tensor* out) {
-    framework::TensorContainsNANV2(tensor, out);
+  void operator()(const DenseTensor& tensor, DenseTensor* out) {
+    paddle::framework::TensorContainsNANV2(tensor, out);
   }
 };
 
 struct IsfiniteV2Functor {
-  void operator()(const framework::Tensor& tensor, framework::Tensor* out) {
-    framework::TensorIsfiniteV2(tensor, out);
+  void operator()(const DenseTensor& tensor, DenseTensor* out) {
+    paddle::framework::TensorIsfiniteV2(tensor, out);
   }
 };
 
-}  // namespace operators
-}  // namespace paddle
+}  // namespace funcs
+}  // namespace phi

paddle/phi/kernels/gpu/isfinite_kernel.cu

@@ -0,0 +1,61 @@
+// 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/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/isfinite_kernel_impl.h"
+#include "paddle/phi/kernels/isfinite_kernel.h"
+
+namespace phi {
+
+template <typename T, typename Context, typename Functor>
+inline void IsfiniteKernelImpl(const Context& dev_ctx,
+                               const DenseTensor& x,
+                               DenseTensor* out) {
+  dev_ctx.template Alloc<T>(out);
+  Functor functor;
+  functor(x, out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(isinf,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::IsinfKernel,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   int,
+                   int64_t) {}
+
+PD_REGISTER_KERNEL(isnan,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::IsnanKernel,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   int,
+                   int64_t) {}
+
+PD_REGISTER_KERNEL(isfinite,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::IsfiniteKernel,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   int,
+                   int64_t) {}