[phi] transfer accuracy op and pass the unittests (#39982)

* transfer accuracy op and pass the ci

* remove header file

* fix code

* fix code

* fix

* fix

paddle/fluid/operators/metrics/accuracy_op.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/metrics/accuracy_op.h"
+#include "paddle/fluid/framework/op_registry.h"
 
 namespace paddle {
 namespace operators {
@@ -123,13 +123,10 @@ with the input Out(Inference).
 }  // namespace operators
 }  // namespace paddle
 
+// FIXME(typhoonzero): types of T is for infernece data.
+// label data is always int.
 namespace ops = paddle::operators;
 REGISTER_OPERATOR(
     accuracy, ops::AccuracyOp, ops::AccuracyOpMaker,
     paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
     paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
-// FIXME(typhoonzero): types of T is for infernece data.
-// label data is always int.
-REGISTER_OP_CPU_KERNEL(accuracy,
-                       ops::AccuracyKernel<paddle::platform::CPUPlace, float>,
-                       ops::AccuracyKernel<paddle::platform::CPUPlace, double>);

paddle/fluid/operators/metrics/accuracy_op_mlu.cc

@@ -12,7 +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/metrics/accuracy_op.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/framework/tensor.h"
 #include "paddle/fluid/operators/mlu/mlu_baseop.h"
 
 namespace paddle {

paddle/fluid/operators/metrics/accuracy_op_npu.cc

@@ -13,7 +13,7 @@ limitations under the License. */
 #include <string>
 
 #include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/operators/metrics/accuracy_op.h"
+#include "paddle/fluid/framework/tensor.h"
 #include "paddle/fluid/platform/device/npu/npu_op_runner.h"
 
 namespace paddle {

paddle/fluid/operators/metrics/accuracy_op_xpu.cc

@@ -14,12 +14,14 @@ limitations under the License. */
 
 #ifdef PADDLE_WITH_XPU
 
-#include "paddle/fluid/operators/metrics/accuracy_op.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/framework/tensor.h"
 #include "paddle/fluid/platform/device/xpu/xpu_header.h"
 
 namespace paddle {
 namespace operators {
 
+using Tensor = paddle::framework::Tensor;
 template <typename DeviceContext, typename T>
 class AccuracyXPUKernel : public framework::OpKernel<T> {
  public:

paddle/phi/kernels/accuracy_kernel.h

@@ -0,0 +1,30 @@
+
+// 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 AccuracyRawKernel(const Context& dev_ctx,
+                       const DenseTensor& out,
+                       const DenseTensor& indices,
+                       const DenseTensor& label,
+                       DenseTensor* accuracy,
+                       DenseTensor* correct,
+                       DenseTensor* total);
+}  // namespace phi

paddle/phi/kernels/cpu/accuracy_kernel.cc

@@ -0,0 +1,72 @@
+// 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/accuracy_kernel.h"
+
+#include <algorithm>
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+template <typename T, typename Context>
+void AccuracyRawKernel(const Context& dev_ctx,
+                       const DenseTensor& inference,
+                       const DenseTensor& indices,
+                       const DenseTensor& label,
+                       DenseTensor* accuracy,
+                       DenseTensor* correct,
+                       DenseTensor* total) {
+  int* correct_data = dev_ctx.template Alloc<int>(correct);
+  int* total_data = dev_ctx.template Alloc<int>(total);
+  float* accuracy_data = dev_ctx.template Alloc<float>(accuracy);
+
+  const int64_t* indices_data = indices.data<int64_t>();
+  const int64_t* label_data = label.data<int64_t>();
+
+  size_t num_samples = inference.dims()[0];
+  size_t class_dim = inference.dims()[1];
+  *accuracy_data = 0.0f;
+
+  if (num_samples == 0) {
+    return;
+  }
+
+  int num_correct = 0;
+  // assume inference is already the topk of the output
+  for (size_t i = 0; i < num_samples; ++i) {
+    PADDLE_ENFORCE_GE(
+        label_data[i],
+        0,
+        phi::errors::InvalidArgument(
+            "label of AccuracyOp must >= 0, But received label[%d] is %d",
+            i,
+            label_data[i]));
+    for (size_t j = 0; j < class_dim; ++j) {
+      if (indices_data[i * class_dim + j] == label_data[i]) {
+        ++num_correct;
+        break;
+      }
+    }
+  }
+
+  *correct_data = num_correct;
+  *total_data = num_samples;
+  *accuracy_data =
+      static_cast<float>(num_correct) / static_cast<float>(num_samples);
+}
+}  // namespace phi
+
+// TODO(add supported dtype.)
+PD_REGISTER_KERNEL(
+    accuracy, CPU, ALL_LAYOUT, phi::AccuracyRawKernel, float, double) {}