[PHI decoupling] move "flags.h" from fluid to phi (#48696)

paddle/fluid/distributed/store/tcp_store.cc

@@ -20,7 +20,7 @@
 
 #include "paddle/fluid/distributed/store/tcp_utils.h"
 #include "paddle/fluid/platform/enforce.h"
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 namespace paddle {
 namespace distributed {

paddle/fluid/eager/tests/performance_tests/benchmark_eager_cpu.cc

@@ -25,7 +25,7 @@
 #include "paddle/fluid/eager/tests/performance_tests/benchmark_utils.h"
 #include "paddle/fluid/eager/tests/test_utils.h"
 #include "paddle/fluid/imperative/tracer.h"
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 #ifdef WITH_GPERFTOOLS
 #include "gperftools/profiler.h"

paddle/fluid/eager/tests/performance_tests/benchmark_eager_cuda.cc

@@ -24,7 +24,7 @@
 #include "paddle/fluid/eager/tests/performance_tests/benchmark_utils.h"
 #include "paddle/fluid/eager/tests/test_utils.h"
 #include "paddle/fluid/imperative/tracer.h"
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 #ifdef WITH_GPERFTOOLS
 #include "gperftools/profiler.h"

paddle/fluid/framework/new_executor/executor_statistics.cc

@@ -24,9 +24,9 @@
 #include <vector>
 
 #include "glog/logging.h"
-#include "paddle/fluid/platform/flags.h"
 #include "paddle/fluid/platform/os_info.h"
 #include "paddle/fluid/platform/profiler/utils.h"
+#include "paddle/phi/core/flags.h"
 
 DECLARE_bool(use_stream_safe_cuda_allocator);
 PADDLE_DEFINE_EXPORTED_string(static_executor_perfstat_filepath,

paddle/fluid/imperative/flags.cc

@@ -14,7 +14,7 @@
 
 #include "paddle/fluid/imperative/flags.h"
 
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 PADDLE_DEFINE_EXPORTED_uint64(dygraph_debug,
                               0,

paddle/fluid/imperative/profiler.cc

@@ -21,7 +21,7 @@
 
 #include <mutex>  // NOLINT
 
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 PADDLE_DEFINE_EXPORTED_string(
     tracer_profile_fname,

paddle/fluid/inference/api/analysis_predictor.cc

@@ -1422,8 +1422,7 @@ CreatePaddlePredictor<AnalysisConfig, PaddleEngineKind::kAnalysis>(
       }
 
       // support set flags from enviorment.
-      const platform::ExportedFlagInfoMap &env_map =
-          platform::GetExportedFlagInfoMap();
+      const phi::ExportedFlagInfoMap &env_map = phi::GetExportedFlagInfoMap();
       std::ostringstream os;
       os << "--tryfromenv=";
       for (auto &pair : env_map) {

paddle/fluid/memory/allocation/auto_growth_best_fit_allocator.cc

@@ -18,8 +18,8 @@
 #include <mutex>  // NOLINT
 
 #include "paddle/fluid/memory/allocation/aligned_allocator.h"
-#include "paddle/fluid/platform/flags.h"
 #include "paddle/fluid/platform/profiler/event_tracing.h"
+#include "paddle/phi/core/flags.h"
 
 PADDLE_DEFINE_EXPORTED_READONLY_bool(
     free_idle_chunk,

paddle/fluid/operators/controlflow/conditional_block_op.cc

@@ -17,7 +17,7 @@ limitations under the License. */
 #include "paddle/fluid/framework/new_executor/standalone_executor.h"
 #include "paddle/fluid/operators/assign_op.h"
 #include "paddle/fluid/operators/controlflow/control_flow_op_helper.h"
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 #include "paddle/phi/kernels/funcs/math_function.h"
 
 #ifdef PADDLE_WITH_MKLDNN

paddle/fluid/operators/conv_op.cc

@@ -25,7 +25,6 @@ limitations under the License. */
 #include "paddle/fluid/platform/mkldnn_helper.h"
 #endif
 #include "paddle/fluid/framework/infershape_utils.h"
-#include "paddle/fluid/platform/cudnn_workspace_helper.h"
 #include "paddle/phi/infermeta/binary.h"
 
 namespace paddle {

paddle/fluid/operators/conv_transpose_op.cc

@@ -21,7 +21,6 @@ limitations under the License. */
 #include "paddle/fluid/framework/infershape_utils.h"
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/framework/op_version_registry.h"
-#include "paddle/fluid/platform/cudnn_workspace_helper.h"
 #include "paddle/phi/core/infermeta_utils.h"
 #include "paddle/phi/infermeta/backward.h"
 #include "paddle/phi/infermeta/binary.h"

paddle/fluid/operators/fused/fusion_conv_inception_op.cc

@@ -16,7 +16,7 @@ limitations under the License. */
 #include <vector>
 
 #include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/platform/cudnn_workspace_helper.h"
+#include "paddle/phi/backends/gpu/cuda/cudnn_workspace_helper.h"
 
 namespace paddle {
 namespace operators {
@@ -113,7 +113,7 @@ class ConvInceptionFusionOpMaker : public framework::OpProtoAndCheckerMaker {
                  "allocated/freed each time the operator runs, larger "
                  "workspace size can increase performance but also requires "
                  "better hardware. This size should be chosen carefully.")
-        .SetDefault(platform::GetDefaultConvWorkspaceSizeLimitMB());
+        .SetDefault(phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB());
     AddComment(R"DOC(
 )DOC");
   }

paddle/fluid/platform/CMakeLists.txt

@@ -31,10 +31,6 @@ if(WITH_PYTHON)
   endif()
 endif()
 
-cc_library(
-  flags
-  SRCS flags.cc
-  DEPS gflags)
 cc_library(
   denormal
   SRCS denormal.cc
@@ -178,11 +174,6 @@ if(WITH_GLOO)
     DEPS framework_proto gloo_wrapper enforce)
 endif()
 
-cc_library(
-  cudnn_workspace_helper
-  SRCS cudnn_workspace_helper.cc
-  DEPS)
-
 # separate init from device_context to avoid cycle dependencies
 cc_library(
   init

paddle/fluid/platform/cpu_info.cc

@@ -32,7 +32,7 @@ limitations under the License. */
 
 #include <algorithm>
 
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 DECLARE_double(fraction_of_cpu_memory_to_use);
 DECLARE_uint64(initial_cpu_memory_in_mb);

paddle/fluid/platform/device/gpu/gpu_info.cc

@@ -24,14 +24,14 @@ limitations under the License. */
 #include "paddle/fluid/memory/memory.h"
 #include "paddle/fluid/platform/cuda_device_guard.h"
 #include "paddle/fluid/platform/enforce.h"
-#include "paddle/fluid/platform/flags.h"
 #include "paddle/fluid/platform/lock_guard_ptr.h"
 #include "paddle/fluid/platform/macros.h"
 #include "paddle/fluid/platform/monitor.h"
 #include "paddle/fluid/platform/place.h"
 #include "paddle/fluid/platform/profiler/mem_tracing.h"
 #include "paddle/fluid/string/split.h"
 #include "paddle/phi/backends/gpu/gpu_info.h"
+#include "paddle/phi/core/flags.h"
 
 #ifdef PADDLE_WITH_HIP
 #include "paddle/fluid/platform/dynload/miopen.h"

paddle/fluid/platform/enforce.h

@@ -101,7 +101,7 @@ limitations under the License. */
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
 #include "paddle/fluid/platform/device/gpu/gpu_types.h"
 #endif
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 namespace phi {
 class ErrorSummary;

paddle/fluid/platform/profiler/host_tracer.cc

@@ -17,9 +17,9 @@
 
 #include "glog/logging.h"
 #include "paddle/fluid/framework/op_proto_maker.h"
-#include "paddle/fluid/platform/flags.h"
 #include "paddle/fluid/platform/profiler/common_event.h"
 #include "paddle/fluid/platform/profiler/host_event_recorder.h"
+#include "paddle/phi/core/flags.h"
 
 // Used to filter events, works like glog VLOG(level).
 // RecordEvent will works if host_trace_level >= level.

paddle/fluid/pybind/global_value_getter_setter.cc

@@ -252,7 +252,7 @@ static void RegisterGlobalVarGetterSetter() {
   REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_rpc_prefetch_thread_num);
 #endif
 
-  const auto &flag_map = platform::GetExportedFlagInfoMap();
+  const auto &flag_map = phi::GetExportedFlagInfoMap();
   for (const auto &pair : flag_map) {
     const std::string &name = pair.second.name;
     bool is_writable = pair.second.is_writable;

paddle/phi/api/yaml/generator/ops_extra_info_gen.py

@@ -22,7 +22,7 @@ def map_code_template(attrs_str, attrs_checker_str):
     return f"""// This file is generated by paddle/phi/api/yaml/generator/ops_extra_info_gen.py
 #include "paddle/fluid/operators/ops_extra_info.h"
 
-#include "paddle/fluid/platform/cudnn_workspace_helper.h"
+#include "paddle/phi/backends/gpu/cuda/cudnn_workspace_helper.h"
 
 namespace paddle {{
 namespace operators {{

paddle/phi/api/yaml/op_compat.yaml

@@ -202,7 +202,7 @@
              str fuse_activation = "", float fuse_alpha = 0.0f, float fuse_beta = 0.0f, bool use_addto = false,
              bool fuse_residual_connection = false, float Scale_in = 1.0f, float Scale_out = 1.0f,
              float Scale_in_eltwise = 1.0f, 'float[] Scale_weights = {1.0f}', bool force_fp32_output = false,
-             int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
+             int workspace_size_MB = phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
 
 - op : conv2d_fusion
   extra :
@@ -211,28 +211,28 @@
              str fuse_activation = "", float fuse_alpha = 0.0f, float fuse_beta = 0.0f, bool use_addto = false,
              bool fuse_residual_connection = false, float Scale_in = 1.0f, float Scale_out = 1.0f,
              float Scale_in_eltwise = 1.0f, 'float[] Scale_weights = {1.0f}', bool force_fp32_output = false,
-             int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
+             int workspace_size_MB = phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
 
 - op : conv2d_transpose
   backward : conv2d_transpose_grad
   extra :
     attrs : [bool is_test = false, bool use_cudnn = true, bool use_mkldnn = false, bool force_fp32_output = false,
              str mkldnn_data_type = "float32", bool fuse_relu = false,
              str fuse_activation = "", float fuse_alpha = 0.0f, float fuse_beta = 0.0f,
-             int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB()]
+             int workspace_size_MB = phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB()]
 
 - op : conv3d
   backward : conv3d_grad
   extra :
     attrs : [bool is_test = false, bool use_cudnn = true, bool use_mkldnn = false, str mkldnn_data_type = "float32", bool fuse_relu = false,
              str fuse_activation = "", float fuse_alpha = 0.0f, float fuse_beta = 0.0f,
              bool use_addto = false, bool fuse_residual_connection = false, bool force_fp32_output = false,
-             int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
+             int workspace_size_MB = phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
 
 - op : conv3d_transpose
   backward : conv3d_transpose_grad
   extra :
-    attrs : [bool use_cudnn = true, bool use_mkldnn = false, int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB()]
+    attrs : [bool use_cudnn = true, bool use_mkldnn = false, int workspace_size_MB = phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB()]
 
 - op : cos
   backward : cos_grad, cos_double_grad, cos_triple_grad
@@ -273,15 +273,15 @@
              str fuse_activation = "", float fuse_alpha = 0.0f, float fuse_beta = 0.0f, bool use_addto = false,
              bool fuse_residual_connection = false, float Scale_in = 1.0f, float Scale_out = 1.0f,
              float Scale_in_eltwise = 1.0f, 'float[] Scale_weights = {1.0f}', bool force_fp32_output = false,
-             int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
+             int workspace_size_MB = phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB(), bool exhaustive_search = false]
 
 - op : depthwise_conv2d_transpose
   backward : depthwise_conv2d_transpose_grad
   extra :
     attrs : [bool is_test = false, bool use_cudnn = false, bool use_mkldnn = false, bool force_fp32_output = false,
              str mkldnn_data_type = "float32", bool fuse_relu = false,
              str fuse_activation = "", float fuse_alpha = 0.0f, float fuse_beta = 0.0f,
-             int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB()]
+             int workspace_size_MB = phi::backends::gpu::GetDefaultConvWorkspaceSizeLimitMB()]
 
 - op : dequantize_linear
   extra :

paddle/phi/backends/CMakeLists.txt

@@ -1,4 +1,5 @@
 add_subdirectory(dynload)
+add_subdirectory(gpu)
 
 set(BACKENDS_SRCS all_context.cc cpu/cpu_context.cc)
 set(BACKENDS_DEPS enforce place flags eigen3 phi_device_context)

paddle/phi/backends/gpu/CMakeLists.txt

@@ -0,0 +1 @@
+add_subdirectory(cuda)

paddle/phi/backends/gpu/cuda/CMakeLists.txt

@@ -0,0 +1 @@
+cc_library(cudnn_workspace_helper SRCS cudnn_workspace_helper.cc)

paddle/fluid/platform/cudnn_workspace_helper.cc → paddle/phi/backends/gpu/cuda/cudnn_workspace_helper.cc

@@ -1,4 +1,4 @@
-// Copyright (c) 2019 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.
@@ -12,13 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/platform/cudnn_workspace_helper.h"
+#include "paddle/phi/backends/gpu/cuda/cudnn_workspace_helper.h"
 
 #include <cstdlib>
 #include <string>
 
-namespace paddle {
-namespace platform {
+namespace phi {
+namespace backends {
+namespace gpu {
 
 static int GetDefaultConvWorkspaceSizeLimitMBImpl() {
   const char *env_str = std::getenv("FLAGS_conv_workspace_size_limit");
@@ -30,6 +31,6 @@ int GetDefaultConvWorkspaceSizeLimitMB() {
   static auto workspace_size = GetDefaultConvWorkspaceSizeLimitMBImpl();
   return workspace_size;
 }
-
-}  // namespace platform
-}  // namespace paddle
+}  // namespace gpu
+}  // namespace backends
+}  // namespace phi

paddle/fluid/platform/cudnn_workspace_helper.h → paddle/phi/backends/gpu/cuda/cudnn_workspace_helper.h

@@ -1,4 +1,4 @@
-// Copyright (c) 2019 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.
@@ -14,12 +14,13 @@
 
 #pragma once
 
-namespace paddle {
-namespace platform {
+namespace phi {
+namespace backends {
+namespace gpu {
 
 static constexpr int kDefaultConvWorkspaceSizeLimitMB = 512;
 
 int GetDefaultConvWorkspaceSizeLimitMB();
-
-}  // namespace platform
-}  // namespace paddle
+}  // namespace gpu
+}  // namespace backends
+}  // namespace phi

paddle/phi/backends/xpu/xpu_info.cc

@@ -21,7 +21,7 @@ limitations under the License. */
 
 // TODO(wilber): The phi computing library requires a component to manage
 // flags.
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 
 PADDLE_DEFINE_EXPORTED_string(
     selected_xpus,

paddle/phi/core/CMakeLists.txt

@@ -5,6 +5,11 @@ if(WITH_GPU)
   proto_library(external_error_proto SRCS external_error.proto)
 endif()
 
+cc_library(
+  flags
+  SRCS flags.cc
+  DEPS gflags)
+
 cc_library(errors SRCS errors.cc)
 set(phi_enforce_deps errors flags)
 if(WITH_GPU)

paddle/fluid/platform/flags.cc → paddle/phi/core/flags.cc

@@ -13,13 +13,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/platform/flags.h"
+#include "paddle/phi/core/flags.h"
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
-#include "paddle/fluid/platform/cudnn_workspace_helper.h"
+#include "paddle/phi/backends/gpu/cuda/cudnn_workspace_helper.h"
 #endif
 
-namespace paddle {
-namespace platform {
+namespace phi {
 
 const ExportedFlagInfoMap &GetExportedFlagInfoMap() {
   return *GetMutableExportedFlagInfoMap();
@@ -30,8 +29,7 @@ ExportedFlagInfoMap *GetMutableExportedFlagInfoMap() {
   return &g_exported_flag_info_map;
 }
 
-}  // namespace platform
-}  // namespace paddle
+}  // namespace phi
 
 PADDLE_DEFINE_EXPORTED_int32(inner_op_parallelism,
                              0,
@@ -261,9 +259,10 @@ PADDLE_DEFINE_EXPORTED_bool(
  * increased.
  *       Users need to balance memory and speed.
  */
-PADDLE_DEFINE_EXPORTED_int64(conv_workspace_size_limit,
-                             paddle::platform::kDefaultConvWorkspaceSizeLimitMB,
-                             "cuDNN convolution workspace limit in MB unit.");
+PADDLE_DEFINE_EXPORTED_int64(
+    conv_workspace_size_limit,
+    phi::backends::gpu::kDefaultConvWorkspaceSizeLimitMB,
+    "cuDNN convolution workspace limit in MB unit.");
 
 /**
  * CUDNN related FLAG