[PHI decoupling] Remove fluid imports from MKLDNN code (#48981)

* fix wrong handler name

* mkldnn_engine -> onednn_engine

* remove fluid/errors.h imports

* remove fluid/enforce.h imports

* remove note and unnecessary import

* remove fluid/pretty_log.h imports

* remove fluid/place.h imports

* remove fluid/data_layout_transform.h imports

* remove fluid/device_context.h imports

* remove mkldnn_helper code

* remove fluid/mkldnn_reuse.h imports

* pretty_log import

Author: Silv3S

paddle/fluid/framework/ir/mkldnn/batch_norm_act_fuse_pass.cc

@@ -16,8 +16,8 @@
 
 #include "paddle/fluid/framework/ir/graph_pattern_detector.h"
 #include "paddle/fluid/framework/op_version_registry.h"
-#include "paddle/fluid/platform/enforce.h"
-#include "paddle/fluid/string/pretty_log.h"
+#include "paddle/phi/core/enforce.h"
+#include "paddle/utils/string/pretty_log.h"
 
 namespace paddle {
 namespace framework {

paddle/fluid/framework/ir/mkldnn/batch_norm_act_fuse_pass_tester.cc

@@ -19,7 +19,6 @@
 #include "paddle/fluid/framework/op_desc.h"
 #include "paddle/fluid/framework/op_version_registry.h"
 #include "paddle/fluid/framework/program_desc.h"
-#include "paddle/fluid/platform/errors.h"
 
 namespace paddle {
 namespace framework {

paddle/fluid/framework/ir/mkldnn/compute_propagate_scales_mkldnn_pass.cc

@@ -28,7 +28,7 @@ namespace ir {
 void ComputePropagateScalesMkldnnPass::GetTensorFromVector(
     const std::vector<float>& data_v, phi::DenseTensor* tensor) const {
   const int size = static_cast<int>(data_v.size());
-  auto* data = tensor->mutable_data<float>({size}, platform::CPUPlace());
+  auto* data = tensor->mutable_data<float>({size}, phi::CPUPlace());
   for (int i = 0; i < size; i++) {
     data[i] = data_v[i];
   }
@@ -123,7 +123,7 @@ void ComputePropagateScalesMkldnnPass::ComputeVarScales(
       std::vector<int64_t> reshape_dims = {dims[0], volume};
       tmp_tensor.Resize(phi::make_ddim(reshape_dims));
       auto* weight_data = weight_tensor->data<float>();
-      auto* tmp_data = tmp_tensor.mutable_data<float>(platform::CPUPlace());
+      auto* tmp_data = tmp_tensor.mutable_data<float>(phi::CPUPlace());
       for (int i = 0; i < weight_tensor->numel(); i++) {
         tmp_data[i] = std::abs(weight_data[i]);
       }
@@ -365,7 +365,7 @@ void ComputePropagateScalesMkldnnPass::UpdateScaleOpInOutScales(
   auto pair = iter->second;
   const auto tensor = pair.second;
   tmp_tensor.Resize(tensor.dims());
-  auto* data = tmp_tensor.mutable_data<float>(platform::CPUPlace());
+  auto* data = tmp_tensor.mutable_data<float>(phi::CPUPlace());
   auto* src_data = tensor.data<float>();
   for (int i = 0; i < tensor.numel(); i++) {
     if (out_iter != var_quant_scales->end()) {

paddle/fluid/framework/ir/mkldnn/compute_propagate_scales_mkldnn_pass_tester.cc

@@ -17,7 +17,7 @@
 
 #include "paddle/fluid/framework/ir/mkldnn/compute_propagate_scales_mkldnn_pass.h"
 #include "paddle/fluid/framework/naive_executor.h"
-#include "paddle/fluid/platform/place.h"
+#include "paddle/phi/common/place.h"
 
 namespace paddle {
 namespace framework {
@@ -119,7 +119,7 @@ class ComputePropagateScalesMkldnnPassTest : public testing::Test {
                     const ProgramDesc& prog,
                     Scope* scope,
                     const std::initializer_list<std::string>& variable_names) {
-    auto place = paddle::platform::CPUPlace();
+    auto place = phi::CPUPlace();
     NaiveExecutor exe{place};
     exe.CreateVariables(prog, 0, true, scope);
 
@@ -148,19 +148,19 @@ class ComputePropagateScalesMkldnnPassTest : public testing::Test {
     auto* wx_tensor = wx_var->GetMutable<phi::DenseTensor>();
     wx_tensor->Resize(phi::make_dim(wx.size(), wx[0].size()));
     for (size_t i = 0; i < wx.size(); i++)
-      std::copy(begin(wx[i]),
-                end(wx[i]),
-                wx_tensor->mutable_data<float>(platform::CPUPlace()) +
-                    i * wx[0].size());
+      std::copy(
+          begin(wx[i]),
+          end(wx[i]),
+          wx_tensor->mutable_data<float>(phi::CPUPlace()) + i * wx[0].size());
 
     auto* wh_var = scope.FindVar(wh_var_names);
     auto* wh_tensor = wh_var->GetMutable<phi::DenseTensor>();
     wh_tensor->Resize(phi::make_dim(wh.size(), wh[0].size()));
     for (size_t i = 0; i < wh.size(); i++)
-      std::copy(begin(wh[i]),
-                end(wh[i]),
-                wh_tensor->mutable_data<float>(platform::CPUPlace()) +
-                    i * wh[0].size());
+      std::copy(
+          begin(wh[i]),
+          end(wh[i]),
+          wh_tensor->mutable_data<float>(phi::CPUPlace()) + i * wh[0].size());
     if (type == "gru") {
       ComputeGruWeightScales(
           graph, &scope, wx_name, wh_name, &var_quant_scales);
@@ -283,7 +283,7 @@ TEST_F(ComputePropagateScalesMkldnnPassTest, get_scales_function) {
   var_tensor.Resize(phi::make_dim(values.size(), 1));
   std::copy(begin(values),
             end(values),
-            var_tensor.mutable_data<float>(platform::CPUPlace()));
+            var_tensor.mutable_data<float>(phi::CPUPlace()));
   std::vector<float> results = GetScales(&var_tensor, 0);
 
   ASSERT_EQ(results.size(), std::size_t(1));
@@ -310,7 +310,7 @@ TEST_F(ComputePropagateScalesMkldnnPassTest, compute_var_scales) {
   weight_tensor->Resize(phi::make_dim(1, values.size()));
   std::copy(begin(values),
             end(values),
-            weight_tensor->mutable_data<float>(platform::CPUPlace()));
+            weight_tensor->mutable_data<float>(phi::CPUPlace()));
 
   auto max_val = *std::max_element(values.begin(), values.end());
 
@@ -338,7 +338,7 @@ TEST_F(ComputePropagateScalesMkldnnPassTest, update_relu_output_scales) {
   StringPairMap var_quant_scales;
   for (auto& var_name : conv_variable_names) {
     phi::DenseTensor tensor;
-    auto* data = tensor.mutable_data<float>({1}, platform::CPUPlace());
+    auto* data = tensor.mutable_data<float>({1}, phi::CPUPlace());
     data[0] = 10;
     auto pair = std::make_pair(false, tensor);
     var_quant_scales.insert(std::make_pair(var_name, pair));

paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.cc

@@ -15,8 +15,8 @@
 #include "paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.h"
 
 #include "paddle/fluid/framework/op_version_registry.h"
-#include "paddle/fluid/platform/mkldnn_reuse.h"
-#include "paddle/fluid/string/pretty_log.h"
+#include "paddle/phi/backends/onednn/onednn_reuse.h"
+#include "paddle/utils/string/pretty_log.h"
 
 namespace paddle {
 namespace framework {

paddle/fluid/framework/ir/mkldnn/conv_affine_channel_mkldnn_fuse_pass.cc

@@ -80,7 +80,7 @@ void recompute_bias_and_weights(const Scope* scope,
       ac_bias_tensor.data<float>(), ac_bias_tensor.numel(), 1);
 
   EigenVectorArrayMap eltwise_y_in_array(
-      eltwise_y_in_tensor->mutable_data<float>(platform::CPUPlace()),
+      eltwise_y_in_tensor->mutable_data<float>(phi::CPUPlace()),
       eltwise_y_in_tensor->numel(),
       1);
 
@@ -91,7 +91,7 @@ void recompute_bias_and_weights(const Scope* scope,
       scope->FindVar(conv_weight->Name())->GetMutable<phi::DenseTensor>();
   auto weights_shape = weights->dims();
   auto weights_shape_2d = phi::flatten_to_2d(weights_shape, 1);
-  auto* weights_data = weights->mutable_data<float>(platform::CPUPlace());
+  auto* weights_data = weights->mutable_data<float>(phi::CPUPlace());
 
   EigenMatrixArrayMap weights_array_2d(
       weights_data, weights_shape_2d[0], weights_shape_2d[1]);
@@ -233,7 +233,7 @@ void ConvAffineChannelFusePass::ApplyImpl(ir::Graph* graph) const {
     auto* eltwise_y_in_tensor =
         scope->Var(eltwise_y_in_node->Name())->GetMutable<phi::DenseTensor>();
     eltwise_y_in_tensor->Resize(ac_bias_tensor->dims());
-    std::fill_n(eltwise_y_in_tensor->mutable_data<float>(platform::CPUPlace()),
+    std::fill_n(eltwise_y_in_tensor->mutable_data<float>(phi::CPUPlace()),
                 eltwise_y_in_tensor->numel(),
                 0.0f);
 

paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc

@@ -19,8 +19,8 @@
 
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/op_version_registry.h"
-#include "paddle/fluid/platform/enforce.h"
-#include "paddle/fluid/string/pretty_log.h"
+#include "paddle/phi/core/enforce.h"
+#include "paddle/utils/string/pretty_log.h"
 
 namespace paddle {
 namespace framework {
@@ -263,7 +263,7 @@ phi::DenseTensor tensor_apply_eltwise(const phi::DenseTensor& vec_a,
   vec_y.Resize(vec_a.dims());
   const float* a = vec_a.data<float>();
   const float* b = vec_b.data<float>();
-  float* y = vec_y.mutable_data<float>(platform::CPUPlace());
+  float* y = vec_y.mutable_data<float>(phi::CPUPlace());
   for (int i = 0; i < vec_a.numel(); i++) {
     y[i] = f(a[i], b[i]);
   }

paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass_tester.cc

@@ -19,7 +19,7 @@
 #include "paddle/fluid/framework/op_proto_maker.h"
 #include "paddle/fluid/framework/op_version_registry.h"
 #include "paddle/fluid/imperative/type_defs.h"
-#include "paddle/fluid/platform/place.h"
+#include "paddle/phi/common/place.h"
 
 namespace paddle {
 namespace framework {
@@ -112,7 +112,7 @@ void InitTensorHolder(Scope* scope,
 void MainTest(bool convWithExistingBias) {
   auto prog = BuildProgramDesc(convWithExistingBias);
   std::unique_ptr<ir::Graph> graph(new ir::Graph(prog));
-  auto place = paddle::platform::CPUPlace();
+  auto place = phi::CPUPlace();
   NaiveExecutor exe{place};
   Scope scope;
   // Init scope, as it is used in pass

paddle/fluid/framework/ir/mkldnn/conv_elementwise_add_mkldnn_fuse_pass.cc

@@ -16,7 +16,7 @@
 
 #include "paddle/fluid/framework/ir/graph_traits.h"
 #include "paddle/fluid/framework/op_version_registry.h"
-#include "paddle/fluid/string/pretty_log.h"
+#include "paddle/utils/string/pretty_log.h"
 
 namespace paddle {
 namespace framework {

paddle/fluid/framework/ir/mkldnn/cpu_bfloat16_pass.cc

@@ -18,7 +18,7 @@ limitations under the License. */
 
 #include "paddle/fluid/framework/ir/graph_pattern_detector.h"
 #include "paddle/fluid/framework/op_version_registry.h"
-#include "paddle/fluid/string/pretty_log.h"
+#include "paddle/utils/string/pretty_log.h"
 
 namespace paddle {
 namespace framework {