Add paddle::variant and replace paddle::any (#42139)

* add variant and replace any

* split attribute

paddle/fluid/framework/custom_operator.cc

@@ -39,6 +39,7 @@ limitations under the License. */
 #include "paddle/phi/api/all.h"
 #include "paddle/phi/api/lib/utils/tensor_utils.h"
 #include "paddle/phi/core/compat/convert_utils.h"
+#include "paddle/phi/core/tensor_utils.h"
 #include "paddle/utils/any.h"
 
 namespace paddle {

paddle/fluid/framework/new_executor/interpretercore.cc

@@ -22,6 +22,7 @@
 #include "paddle/fluid/framework/operator.h"
 #include "paddle/fluid/platform/os_info.h"
 #include "paddle/fluid/platform/profiler/event_tracing.h"
+#include "paddle/phi/core/kernel_context.h"
 #ifdef PADDLE_WITH_MKLDNN
 #include "paddle/fluid/platform/mkldnn_helper.h"
 #endif

paddle/fluid/framework/new_executor/interpretercore_util.cc

@@ -19,6 +19,7 @@
 #include "paddle/fluid/operators/controlflow/conditional_block_op_helper.h"
 #include "paddle/fluid/operators/controlflow/recurrent_op_helper.h"
 #include "paddle/fluid/operators/controlflow/while_op_helper.h"
+#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/kernel_factory.h"
 
 #ifdef PADDLE_WITH_MKLDNN

paddle/fluid/framework/operator.cc

@@ -35,6 +35,7 @@ limitations under the License. */
 #include "paddle/fluid/platform/profiler/event_tracing.h"
 #include "paddle/phi/common/int_array.h"
 #include "paddle/phi/common/scalar.h"
+#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/kernel_factory.h"
 #include "paddle/phi/ops/compat/signatures.h"
 

paddle/fluid/framework/operator.h

@@ -43,7 +43,6 @@ limitations under the License. */
 #include "paddle/fluid/framework/convert_utils.h"
 #include "paddle/phi/core/compat/arg_map_context.h"
 #include "paddle/phi/core/compat/op_utils.h"
-#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/kernel_factory.h"
 
 namespace paddle {
@@ -55,6 +54,10 @@ class Variable;
 }  // namespace framework
 }  // namespace paddle
 
+namespace phi {
+class KernelContext;
+}
+
 DECLARE_int32(inner_op_parallelism);
 
 namespace paddle {

paddle/fluid/imperative/prepared_operator.h

@@ -31,6 +31,7 @@
 
 #include "paddle/fluid/framework/convert_utils.h"
 #include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/selected_rows.h"
 
 DECLARE_bool(use_mkldnn);

paddle/phi/core/attribute.h

@@ -0,0 +1,50 @@
+//   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 <string>
+#include <vector>
+
+#include "paddle/phi/common/data_type.h"
+#include "paddle/phi/common/int_array.h"
+#include "paddle/phi/common/layout.h"
+#include "paddle/phi/common/scalar.h"
+#include "paddle/utils/variant.h"
+
+namespace phi {
+
+class Place;
+
+// NOTE: Add needed type in the future
+using Attribute = paddle::variant<bool,
+                                  int,
+                                  int64_t,
+                                  float,
+                                  double,
+                                  std::string,
+                                  std::vector<bool>,
+                                  std::vector<int>,
+                                  std::vector<int64_t>,
+                                  std::vector<float>,
+                                  std::vector<double>,
+                                  std::vector<std::string>,
+                                  Scalar,
+                                  std::vector<Scalar>,
+                                  IntArray,
+                                  DataType,
+                                  DataLayout,
+                                  Place>;
+
+}  // namespace phi

paddle/phi/core/kernel_context.cc

@@ -73,7 +73,7 @@ void KernelContext::EmplaceBackOutputsWithoutSetRange(
                   std::make_move_iterator(outputs.end()));
 }
 
-void KernelContext::EmplaceBackAttr(paddle::any attr) {
+void KernelContext::EmplaceBackAttr(Attribute attr) {
   attrs_.emplace_back(std::move(attr));
 }
 
@@ -113,4 +113,34 @@ const std::pair<int, int>& KernelContext::OutputRangeAt(size_t idx) const {
   return output_range_.at(idx);
 }
 
+template <typename AttrType>
+const AttrType& KernelContext::AttrAt(size_t idx) const {
+  try {
+    return paddle::get<AttrType>(attrs_.at(idx));
+  } catch (paddle::bad_variant_access const& ex) {
+    PADDLE_THROW(phi::errors::InvalidArgument(
+        "Attribute cast error in Op Kernel Context."));
+  }
+}
+
+template const bool& KernelContext::AttrAt(size_t idx) const;
+template const int& KernelContext::AttrAt(size_t idx) const;
+template const int64_t& KernelContext::AttrAt(size_t idx) const;
+template const float& KernelContext::AttrAt(size_t idx) const;
+template const double& KernelContext::AttrAt(size_t idx) const;
+template const std::string& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<bool>& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<int>& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<int64_t>& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<float>& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<double>& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<std::string>& KernelContext::AttrAt(
+    size_t idx) const;
+template const Scalar& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<Scalar>& KernelContext::AttrAt(size_t idx) const;
+template const IntArray& KernelContext::AttrAt(size_t idx) const;
+template const DataType& KernelContext::AttrAt(size_t idx) const;
+template const DataLayout& KernelContext::AttrAt(size_t idx) const;
+template const Place& KernelContext::AttrAt(size_t idx) const;
+
 }  // namespace phi

paddle/phi/core/kernel_context.h

@@ -17,11 +17,11 @@
 #include <iterator>
 #include <utility>
 
+#include "paddle/phi/core/attribute.h"
 #include "paddle/phi/core/device_context.h"
 #include "paddle/phi/core/enforce.h"
 #include "paddle/phi/core/tensor_base.h"
 #include "paddle/phi/core/tensor_utils.h"
-#include "paddle/utils/any.h"
 #include "paddle/utils/optional.h"
 #include "paddle/utils/small_vector.h"
 
@@ -64,7 +64,7 @@ class KernelContext {
   void EmplaceBackOutputsWithoutSetRange(
       paddle::SmallVector<TensorBase*> outputs);
 
-  void EmplaceBackAttr(paddle::any attr);
+  void EmplaceBackAttr(Attribute attr);
 
   const std::pair<int, int>& InputRangeAt(size_t idx) const;
 
@@ -128,14 +128,7 @@ class KernelContext {
   }
 
   template <typename AttrType>
-  AttrType AttrAt(size_t idx) const {
-    try {
-      return paddle::any_cast<AttrType>(attrs_.at(idx));
-    } catch (paddle::bad_any_cast&) {
-      PADDLE_THROW(phi::errors::InvalidArgument(
-          "Attribute cast error in Op Kernel Context."));
-    }
-  }
+  const AttrType& AttrAt(size_t idx) const;
 
   size_t InputsSize() const { return inputs_.size(); }
   size_t OutputsSize() const { return outputs_.size(); }
@@ -146,7 +139,7 @@ class KernelContext {
 
   paddle::SmallVector<const TensorBase*> inputs_;
   paddle::SmallVector<TensorBase*> outputs_;
-  paddle::SmallVector<paddle::any> attrs_;
+  paddle::SmallVector<Attribute> attrs_;
 
   paddle::SmallVector<std::pair<int, int>> input_range_;
   paddle::SmallVector<std::pair<int, int>> output_range_;

paddle/phi/core/kernel_registry.h

@@ -105,6 +105,11 @@ struct KernelArgsParseFunctor<Return_ (*)(Args_...)> {
                               default_tensor_layout,
                               default_key.dtype(),
                               arg_type);
+      } else if (arg_type == std::type_index(typeid(const StringTensor&))) {
+        args_def->AppendInput(default_key.backend(),
+                              default_tensor_layout,
+                              default_key.dtype(),
+                              arg_type);
       } else if (arg_type == std::type_index(typeid(const SparseCooTensor&))) {
         args_def->AppendInput(default_key.backend(),
                               default_tensor_layout,
@@ -153,6 +158,11 @@ struct KernelArgsParseFunctor<Return_ (*)(Args_...)> {
                                default_tensor_layout,
                                default_key.dtype(),
                                arg_type);
+      } else if (arg_type == std::type_index(typeid(StringTensor*))) {
+        args_def->AppendOutput(default_key.backend(),
+                               default_tensor_layout,
+                               default_key.dtype(),
+                               arg_type);
       } else {
         // Attribute deal with
         // TODO(chenweihang): now here allow any types of attribute, maybe

paddle/phi/core/kernel_utils.h

@@ -168,6 +168,24 @@ namespace phi {
     }                                                                     \
   }
 
+#define PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(attr_type) \
+  template <typename... Tail>                                             \
+  struct KernelCallHelper<const attr_type&, Tail...> {                    \
+    template <int dev_ctx_idx,                                            \
+              int in_idx,                                                 \
+              int attr_idx,                                               \
+              int out_idx,                                                \
+              typename... PreviousArgs>                                   \
+    static void Compute(KernelContext* ctx, PreviousArgs&... pargs) {     \
+      static_assert(out_idx == 0,                                         \
+                    "Kernel's Attributes should appear before Outputs."); \
+      const attr_type& arg = ctx->AttrAt<attr_type>(attr_idx);            \
+      KernelCallHelper<Tail...>::                                         \
+          template Compute<dev_ctx_idx, in_idx, attr_idx + 1, out_idx>(   \
+              ctx, pargs..., arg);                                        \
+    }                                                                     \
+  }
+
 #define PD_SPECIALIZE_KernelCallHelper_FOR_OUTPUT(tensor_type)           \
   template <typename... Tail>                                            \
   struct KernelCallHelper<tensor_type*, Tail...> {                       \
@@ -270,19 +288,20 @@ struct KernelImpl<Return (*)(DevCtx, Args...), kernel_fn> {
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(int);
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(int64_t);
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(phi::dtype::float16);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const Scalar&);
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(DataType);
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(DataLayout);
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(Place);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::vector<int64_t>&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const IntArray&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::vector<int>&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::string&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::vector<bool>&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::vector<float>&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::vector<double>&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::vector<std::string>&);
-  PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(const std::vector<Scalar>&);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::string);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(Scalar);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(IntArray);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<bool>);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<int>);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<int64_t>);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<float>);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<double>);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(
+      std::vector<std::string>);
+  PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<Scalar>);
 
   /* Output Helpers */
 

paddle/phi/core/type_defs.h

@@ -15,9 +15,40 @@
 #pragma once
 
 #include <functional>
+#include <string>
+#include <vector>
+
+#include "paddle/phi/common/data_type.h"
+#include "paddle/phi/common/int_array.h"
+#include "paddle/phi/common/layout.h"
+#include "paddle/phi/common/scalar.h"
+
+#include "paddle/utils/variant.h"
 
 namespace phi {
 
+class Place;
+
+// NOTE: Add needed type in the future
+using Attribute = paddle::variant<bool,
+                                  int,
+                                  int64_t,
+                                  float,
+                                  double,
+                                  std::string,
+                                  std::vector<bool>,
+                                  std::vector<int>,
+                                  std::vector<int64_t>,
+                                  std::vector<float>,
+                                  std::vector<double>,
+                                  std::vector<std::string>,
+                                  Scalar,
+                                  std::vector<Scalar>,
+                                  IntArray,
+                                  DataType,
+                                  DataLayout,
+                                  Place>;
+
 class Kernel;
 class KernelKey;
 class KernelArgsDef;

paddle/phi/tests/core/test_custom_kernel.cc

@@ -49,7 +49,6 @@ void FakeDot(const Context& dev_ctx,
              float fake_attr_float,
              double fake_attr_double,
              int64_t fake_attr_int64,
-             phi::dtype::float16 fake_attr_f16,
              phi::DataType fake_attr_dtype,
              const phi::Scalar& fake_attr_scalar,
              const phi::IntArray& fake_attr_int_array,
@@ -64,7 +63,6 @@ void FakeDot(const Context& dev_ctx,
   std::cout << "fake_attr_float: " << fake_attr_float << std::endl;
   std::cout << "fake_attr_double: " << fake_attr_double << std::endl;
   std::cout << "fake_attr_int64: " << fake_attr_int64 << std::endl;
-  std::cout << "fake_attr_f16: " << fake_attr_f16 << std::endl;
   std::cout << "fake_attr_dtype: " << fake_attr_dtype << std::endl;
   std::cout << "fake_attr_int64_vec: " << fake_attr_int64_vec.size()
             << std::endl;
@@ -78,7 +76,6 @@ void FakeDot(const Context& dev_ctx,
   assert(fake_attr_float == 2);
   assert(fake_attr_double == 3);
   assert(fake_attr_int64 == 4);
-  assert(fake_attr_f16 == phi::dtype::float16(5));
   assert(fake_attr_dtype == phi::DataType::UINT32);
   assert(fake_attr_int64_vec.size() == 0);
   assert(fake_attr_int_vec.size() == 0);
@@ -248,7 +245,6 @@ TEST(CustomKernel, custom_kernel_dot) {
   float fake_attr_float = 2.0;
   double fake_attr_double = 3.0;
   int64_t fake_attr_int64 = 4;
-  phi::dtype::float16 fake_attr_f16 = phi::dtype::float16(5);
   phi::DataType fake_attr_dtype = phi::DataType::UINT32;
   paddle::framework::LoDTensor tmp_tensor;
   tmp_tensor.mutable_data<uint8_t>({1}, phi::TransToPhiPlace(backend));
@@ -262,7 +258,6 @@ TEST(CustomKernel, custom_kernel_dot) {
   kernel_context.EmplaceBackAttr(fake_attr_float);
   kernel_context.EmplaceBackAttr(fake_attr_double);
   kernel_context.EmplaceBackAttr(fake_attr_int64);
-  kernel_context.EmplaceBackAttr(fake_attr_f16);
   kernel_context.EmplaceBackAttr(fake_attr_dtype);
   kernel_context.EmplaceBackAttr(fake_attr_scalar);
   kernel_context.EmplaceBackAttr(fake_attr_int_array);