Support custom implement for C++ API (#39521)

* Support custom implement for C++ API

* rename api_invoke_impl to api_custom_impl

* remove manual_api

* delete mutable_data in copy_to api

* fix problem of copy_to

* add unittest for infer_meta_fn_factory

* fix split cofig in yaml

* fix split cofig in yaml

* modify sum api yaml

* add copy_to wrapped infermeta

* rollback copy impl

paddle/phi/api/CMakeLists.txt

 add_subdirectory(lib)
-cc_library(phi_api SRCS all.cc DEPS phi_function_api phi_bw_function_api manual_api sparse_api)
+cc_library(phi_api SRCS all.cc DEPS phi_function_api phi_bw_function_api sparse_api)

paddle/phi/api/all.h

@@ -26,7 +26,6 @@ limitations under the License. */
 
 // new pten apis
 #include "paddle/phi/api/include/api.h"
-#include "paddle/phi/api/include/manual_api.h"
 #include "paddle/phi/api/include/sparse_api.h"
 #include "paddle/phi/api/include/tensor.h"
 

paddle/phi/api/lib/CMakeLists.txt

@@ -3,11 +3,11 @@ add_subdirectory(utils)
 cc_library(ext_compat_utils SRCS ext_compat_utils.cc DEPS place)
 
 if (WITH_GPU)
-  nv_library(phi_tensor_raw SRCS tensor.cc DEPS tensor_base dense_tensor phi_api_utils ext_compat_utils phi_enforce manual_api)
+  nv_library(phi_tensor_raw SRCS tensor.cc DEPS tensor_base dense_tensor phi_api_utils ext_compat_utils phi_enforce)
 elseif (WITH_ROCM)
-  hip_library(phi_tensor_raw SRCS tensor.cc DEPS tensor_base dense_tensor phi_api_utils ext_compat_utils phi_enforce manual_api)
+  hip_library(phi_tensor_raw SRCS tensor.cc DEPS tensor_base dense_tensor phi_api_utils ext_compat_utils phi_enforce)
 else()
-  cc_library(phi_tensor_raw SRCS tensor.cc DEPS tensor_base dense_tensor phi_api_utils ext_compat_utils phi_enforce manual_api)
+  cc_library(phi_tensor_raw SRCS tensor.cc DEPS tensor_base dense_tensor phi_api_utils ext_compat_utils phi_enforce)
 endif()
 
 set(api_gen_base ${CMAKE_SOURCE_DIR}/python/paddle/utils/code_gen/api_base.py)
@@ -83,17 +83,16 @@ add_custom_command(
   DEPENDS ${api_yaml_file} ${wrapped_infermeta_gen_file} ${api_gen_base}
   VERBATIM)
 
+cc_library(op_meta_info SRCS op_meta_info.cc DEPS phi_tensor_raw)
+cc_library(wrapped_infermeta SRCS ${wrapped_infermeta_source_file} DEPS phi)
+
 cc_library(kernel_dispatch SRCS kernel_dispatch.cc DEPS phi_tensor_raw phi_context kernel_factory)
 cc_library(phi_data_transform SRCS data_transform.cc DEPS phi_tensor_raw transfer_layout_kernel cast_kernel data_device_transform)
-cc_library(manual_api SRCS manual_api.cc DEPS phi_tensor_raw phi kernel_dispatch phi_data_transform)
-
-cc_library(phi_tensor SRCS tensor_method.cc DEPS phi_tensor_raw phi_function_api)
+cc_library(api_custom_impl SRCS api_custom_impl.cc DEPS phi_tensor_raw phi kernel_dispatch phi_data_transform)
 
-cc_library(op_meta_info SRCS op_meta_info.cc DEPS phi_tensor)
+cc_library(sparse_api SRCS sparse_api.cc DEPS phi_tensor_raw phi kernel_dispatch phi_data_transform)
+cc_library(phi_function_api SRCS ${api_source_file} DEPS phi_tensor_raw phi kernel_dispatch phi_data_transform api_custom_impl)
+cc_library(phi_dygraph_api SRCS ${dygraph_api_source_file} DEPS phi_tensor_raw phi kernel_dispatch phi_data_transform)
+cc_library(phi_bw_function_api SRCS ${bw_api_source_file} DEPS phi_tensor_raw phi kernel_dispatch backward_infermeta phi_data_transform phi_function_api api_custom_impl)
 
-cc_library(wrapped_infermeta SRCS ${wrapped_infermeta_source_file} DEPS phi)
-
-cc_library(sparse_api SRCS sparse_api.cc DEPS phi_tensor phi kernel_dispatch phi_data_transform)
-cc_library(phi_function_api SRCS ${api_source_file} DEPS phi_tensor phi kernel_dispatch phi_data_transform wrapped_infermeta)
-cc_library(phi_dygraph_api SRCS ${dygraph_api_source_file} DEPS phi_tensor phi kernel_dispatch phi_data_transform)
-cc_library(phi_bw_function_api SRCS ${bw_api_source_file} DEPS phi_tensor phi kernel_dispatch backward_infermeta phi_data_transform phi_function_api)
+cc_library(phi_tensor SRCS tensor_method.cc DEPS phi_tensor_raw phi_function_api)

paddle/phi/api/lib/manual_api.cc → paddle/phi/api/lib/api_custom_impl.cc

-/* Copyright (c) 2021 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.
@@ -12,11 +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/phi/api/include/manual_api.h"
-
-#include <memory>
-
-#include "glog/logging.h"
+#include "paddle/phi/api/lib/api_custom_impl.h"
 
 #include "paddle/phi/api/lib/api_registry.h"
 #include "paddle/phi/api/lib/api_utils.h"
@@ -25,23 +21,17 @@ limitations under the License. */
 #include "paddle/phi/api/lib/utils/storage.h"
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/core/meta_tensor.h"
+#include "paddle/phi/infermeta/binary.h"
+#include "paddle/phi/infermeta/multiary.h"
+#include "paddle/phi/infermeta/nullary.h"
 #include "paddle/phi/infermeta/unary.h"
 
-PD_DECLARE_KERNEL(copy, CPU, ALL_LAYOUT);
-PD_DECLARE_KERNEL(split, CPU, ALL_LAYOUT);
-
-#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
-PD_DECLARE_KERNEL(copy, GPU, ALL_LAYOUT);
-#endif
-
-#ifdef PADDLE_WITH_XPU
-PD_DECLARE_KERNEL(copy, XPU, ALL_LAYOUT);
-#endif
+#include "glog/logging.h"
 
 namespace paddle {
 namespace experimental {
 
-PADDLE_API Tensor copy_to(const Tensor& x, Backend backend, bool blocking) {
+Tensor copy_to_impl(const Tensor& x, Backend backend, bool blocking) {
   // 1. Get kernel signature and kernel
   auto kernel_key_set = ParseKernelKeyByInputArgs(x);
   kernel_key_set.backend_set = kernel_key_set.backend_set | BackendSet(backend);
@@ -79,28 +69,15 @@ PADDLE_API Tensor copy_to(const Tensor& x, Backend backend, bool blocking) {
   return out;
 }
 
-PADDLE_API std::vector<Tensor> split(const Tensor& x,
+std::vector<Tensor> split_impl(const Tensor& x,
                                const ScalarArray& num_or_sections,
                                const Scalar& axis) {
-  Backend kernel_backend = Backend::UNDEFINED;
-  DataLayout kernel_layout = DataLayout::UNDEFINED;
-  DataType kernel_data_type = DataType::UNDEFINED;
-
-  if (kernel_backend == Backend::UNDEFINED ||
-      kernel_layout == DataLayout::UNDEFINED ||
-      kernel_data_type == DataType::UNDEFINED) {
   auto kernel_key_set = ParseKernelKeyByInputArgs(x);
   auto kernel_key = kernel_key_set.GetHigestPriorityKernelKey();
-    if (kernel_backend == Backend::UNDEFINED) {
-      kernel_backend = kernel_key.backend();
-    }
-    if (kernel_layout == DataLayout::UNDEFINED) {
-      kernel_layout = kernel_key.layout();
-    }
-    if (kernel_data_type == DataType::UNDEFINED) {
-      kernel_data_type = kernel_key.dtype();
-    }
-  }
+
+  Backend kernel_backend = kernel_key.backend();
+  DataLayout kernel_layout = kernel_key.layout();
+  DataType kernel_data_type = kernel_key.dtype();
 
   auto kernel = phi::KernelFactory::Instance().SelectKernelOrThrowError(
       "split", {kernel_backend, kernel_layout, kernel_data_type});
@@ -144,7 +121,6 @@ PADDLE_API std::vector<Tensor> split(const Tensor& x,
 
   return out;
 }
+
 }  // namespace experimental
 }  // namespace paddle
-
-PD_REGISTER_API(Utils);

paddle/phi/api/include/manual_api.h → paddle/phi/api/lib/api_custom_impl.h

-/* Copyright (c) 2021 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.
@@ -19,20 +19,13 @@ limitations under the License. */
 #include "paddle/phi/common/scalar.h"
 #include "paddle/phi/common/scalar_array.h"
 
-/**
- * This file stores some special APIs that are implemented manually
- * or difficult to automatically generated.
- */
-
 namespace paddle {
 namespace experimental {
 
 // TODO(chenweihang): Replace backend by place when place is ready
-PADDLE_API Tensor copy_to(const Tensor& x, Backend backend, bool blocking);
+Tensor copy_to_impl(const Tensor& x, Backend backend, bool blocking);
 
-// TODO(chentianyu03): Split API has extra logic to calculate the outputs size,
-// api_gen do not support
-PADDLE_API std::vector<Tensor> split(const Tensor& x,
+std::vector<Tensor> split_impl(const Tensor& x,
                                const ScalarArray& num_or_sections,
                                const Scalar& axis);
 

paddle/phi/api/lib/api_declare.h

@@ -18,5 +18,4 @@ limitations under the License. */
 #include "paddle/phi/api/lib/api_registry.h"
 
 PD_DECLARE_API(Math);
-PD_DECLARE_API(Utils);
 PD_DECLARE_API(SparseApi);

paddle/phi/api/lib/tensor.cc

@@ -19,7 +19,6 @@ limitations under the License. */
 #include <vector>
 
 #include "glog/logging.h"
-#include "paddle/phi/api/include/manual_api.h"
 #include "paddle/phi/api/lib/ext_compat_utils.h"
 #include "paddle/phi/api/lib/utils/allocator.h"
 #include "paddle/phi/api/lib/utils/storage.h"
@@ -299,72 +298,7 @@ gpuStream_t Tensor::stream() const {
 }
 #endif
 
-/* Part 5: Data Transform methods */
-
-template <typename T>
-Tensor Tensor::copy_to(const PlaceType &target_place) const {
-  LOG(WARNING) << "The Tensor's `copy_to` method is deprecated since version "
-                  "2.3, and will be removed in version 2.4, please use "
-                  "`copy_to` method without template argument instead. "
-                  "reason: copying a Tensor to another device does not need "
-                  "to specify the data type template argument.";
-  return copy_to(ConvertExtPlaceToBackend(target_place), /*blocking=*/false);
-}
-
-template PADDLE_API Tensor
-Tensor::copy_to<float>(const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<double>(const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<int64_t>(const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<int32_t>(const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<uint8_t>(const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<int8_t>(const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<int16_t>(const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<bool>(const PlaceType &target_place) const;
-template PADDLE_API Tensor Tensor::copy_to<phi::dtype::complex<float>>(
-    const PlaceType &target_place) const;
-template PADDLE_API Tensor Tensor::copy_to<phi::dtype::complex<double>>(
-    const PlaceType &target_place) const;
-template PADDLE_API Tensor
-Tensor::copy_to<phi::dtype::float16>(const PlaceType &target_place) const;
-
-Tensor Tensor::copy_to(Backend backend, bool blocking) const {
-  return experimental::copy_to(*this, backend, blocking);
-}
-
-void Tensor::copy_(const Tensor &src, bool blocking) {
-  if (!src.is_initialized()) {
-    return;
-  }
-  VLOG(3) << "Deep copy Tensor from " << src.name() << " to " << name();
-  if (defined()) {
-    PADDLE_ENFORCE_EQ(dtype(),
-                      src.dtype(),
-                      platform::errors::PreconditionNotMet(
-                          "Tensor %s has different data type with Tensor %s, "
-                          "Tensor Copy cannot be performed!",
-                          name(),
-                          src.name()));
-    PADDLE_ENFORCE_EQ(impl()->type_info().id(),
-                      src.impl()->type_info().id(),
-                      platform::errors::PreconditionNotMet(
-                          "Tensor %s has different type with Tensor %s, Tensor "
-                          "Copy cannot be performed!",
-                          name(),
-                          src.name()));
-  }
-  auto copy_tensor =
-      src.copy_to(phi::TransToPtenBackend(src.inner_place()), blocking);
-  set_impl(copy_tensor.impl());
-}
-
-/* Part 6: Status utils methods */
+/* Part 5: Status utils methods */
 
 bool Tensor::defined() const { return impl_ != nullptr; }
 
@@ -376,7 +310,7 @@ bool Tensor::is_initialized() const {
 
 void Tensor::reset() { impl_.reset(); }
 
-/* Part 7: Operator overloading */
+/* Part 6: Operator overloading */
 
 Tensor &Tensor::operator=(const Tensor &x) & {
   impl_ = x.impl_;

paddle/phi/api/lib/tensor_method.cc

@@ -14,15 +14,83 @@ limitations under the License. */
 
 #include "paddle/phi/api/include/tensor.h"
 
+#include "paddle/phi/api/lib/ext_compat_utils.h"
+#include "paddle/phi/core/compat/convert_utils.h"
+#include "paddle/phi/core/tensor_base.h"
+
 namespace paddle {
 namespace experimental {
 
 // declare cast api
 Tensor cast(const Tensor &x, DataType out_dtype);
+Tensor copy_to(const Tensor &x, Backend backend, bool blocking);
 
 Tensor Tensor::cast(DataType target_type) const {
   return experimental::cast(*this, target_type);
 }
 
+Tensor Tensor::copy_to(Backend backend, bool blocking) const {
+  return experimental::copy_to(*this, backend, blocking);
+}
+
+template <typename T>
+Tensor Tensor::copy_to(const PlaceType &target_place) const {
+  LOG(WARNING) << "The Tensor's `copy_to` method is deprecated since version "
+                  "2.3, and will be removed in version 2.4, please use "
+                  "`copy_to` method without template argument instead. "
+                  "reason: copying a Tensor to another device does not need "
+                  "to specify the data type template argument.";
+  return copy_to(ConvertExtPlaceToBackend(target_place), /*blocking=*/false);
+}
+
+template PADDLE_API Tensor
+Tensor::copy_to<float>(const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<double>(const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<int64_t>(const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<int32_t>(const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<uint8_t>(const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<int8_t>(const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<int16_t>(const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<bool>(const PlaceType &target_place) const;
+template PADDLE_API Tensor Tensor::copy_to<phi::dtype::complex<float>>(
+    const PlaceType &target_place) const;
+template PADDLE_API Tensor Tensor::copy_to<phi::dtype::complex<double>>(
+    const PlaceType &target_place) const;
+template PADDLE_API Tensor
+Tensor::copy_to<phi::dtype::float16>(const PlaceType &target_place) const;
+
+void Tensor::copy_(const Tensor &src, bool blocking) {
+  if (!src.is_initialized()) {
+    return;
+  }
+  VLOG(3) << "Deep copy Tensor from " << src.name() << " to " << name();
+  if (defined()) {
+    PADDLE_ENFORCE_EQ(dtype(),
+                      src.dtype(),
+                      platform::errors::PreconditionNotMet(
+                          "Tensor %s has different data type with Tensor %s, "
+                          "Tensor Copy cannot be performed!",
+                          name(),
+                          src.name()));
+    PADDLE_ENFORCE_EQ(impl()->type_info().id(),
+                      src.impl()->type_info().id(),
+                      platform::errors::PreconditionNotMet(
+                          "Tensor %s has different type with Tensor %s, Tensor "
+                          "Copy cannot be performed!",
+                          name(),
+                          src.name()));
+  }
+  auto copy_tensor =
+      src.copy_to(phi::TransToPtenBackend(src.inner_place()), blocking);
+  set_impl(copy_tensor.impl());
+}
+
 }  // namespace experimental
 }  // namespace paddle

paddle/phi/kernels/CMakeLists.txt

@@ -18,7 +18,8 @@ set(COMMON_KERNEL_DEPS ${COMMON_KERNEL_DEPS} infermeta)
 # NOTE: Some kernels depend on some targets that are not commonly used.
 # These targets are not suitable for common dependencies.
 # In this case, you need to manually generate them here.
-set(MANUAL_BUILD_KERNELS softmax_kernel softmax_grad_kernel)
+set(MANUAL_BUILD_KERNELS math_kernel softmax_kernel softmax_grad_kernel)
+kernel_library(math_kernel DEPS ${COMMON_KERNEL_DEPS} cast_kernel copy_kernel)
 kernel_library(softmax_kernel DEPS ${COMMON_KERNEL_DEPS} softmax)
 kernel_library(softmax_grad_kernel DEPS ${COMMON_KERNEL_DEPS} softmax)
 

paddle/phi/tests/api/CMakeLists.txt

 if(WITH_ROCM)
-  hip_test(test_phi_tensor SRCS test_pten_tensor.cc DEPS phi_tensor phi_function_api manual_api glog)
+  hip_test(test_phi_tensor SRCS test_pten_tensor.cc DEPS phi_tensor phi_function_api glog)
 else()
-  cc_test(test_phi_tensor SRCS test_pten_tensor.cc DEPS phi_tensor phi_function_api manual_api glog)
+  cc_test(test_phi_tensor SRCS test_pten_tensor.cc DEPS phi_tensor phi_function_api glog)
 endif()
 
 cc_test(test_phi_exception SRCS test_pten_exception.cc DEPS gtest)

paddle/phi/tests/api/test_data_transform.cc

@@ -16,7 +16,6 @@ limitations under the License. */
 #include <memory>
 
 #include "paddle/phi/api/include/api.h"
-#include "paddle/phi/api/include/manual_api.h"
 #include "paddle/phi/common/complex.h"
 #include "paddle/phi/core/compat/convert_utils.h"
 #include "paddle/phi/core/dense_tensor.h"

paddle/phi/tests/api/test_split_api.cc

@@ -17,7 +17,6 @@
 
 #include "paddle/phi/api/include/api.h"
 
-#include "paddle/phi/api/include/manual_api.h"
 #include "paddle/phi/api/lib/utils/allocator.h"
 #include "paddle/phi/core/dense_tensor.h"
 #include "paddle/phi/core/kernel_registry.h"

paddle/phi/tests/api/test_to_api.cc

@@ -15,7 +15,7 @@ limitations under the License. */
 #include <gtest/gtest.h>
 #include <memory>
 
-#include "paddle/phi/api/include/manual_api.h"
+#include "paddle/phi/api/include/api.h"
 
 #include "paddle/phi/api/lib/utils/allocator.h"
 #include "paddle/phi/core/dense_tensor.h"

paddle/phi/tests/kernels/test_split_dev_api.cc

@@ -18,7 +18,6 @@ limitations under the License. */
 #include "paddle/phi/kernels/split_kernel.h"
 
 #include "paddle/fluid/memory/allocation/allocator_facade.h"
-#include "paddle/phi/api/include/manual_api.h"
 #include "paddle/phi/api/lib/utils/allocator.h"
 #include "paddle/phi/backends/cpu/cpu_context.h"
 #include "paddle/phi/core/dense_tensor.h"

python/paddle/utils/code_gen/api.yaml

@@ -34,6 +34,11 @@
   kernel :
     func : conj
 
+- api : copy_to
+  args : (Tensor x, Backend backend, bool blocking)
+  output : Tensor
+  invoke : copy_to_impl(x, backend, blocking)
+
 - api : divide
   args : (Tensor x, Tensor y)
   output : Tensor
@@ -162,6 +167,11 @@
   kernel :
     func : sign
 
+- api : split
+  args : (Tensor x, ScalarArray num_or_sections, Scalar axis)
+  output : Tensor[]
+  invoke : split_impl(x, num_or_sections, axis)
+
 - api : subtract
   args : (Tensor x, Tensor y)
   output : Tensor
@@ -177,7 +187,6 @@
     func : SumInferMeta
   kernel :
     func : sum
-    param : [x, axis, dtype, keep_dim]
     data_type : x
 
 - api : zeros_like

python/paddle/utils/code_gen/api_gen.py

@@ -102,6 +102,7 @@ def source_include(header_file_path):
 
 #include "glog/logging.h"
 
+#include "paddle/phi/api/lib/api_custom_impl.h"
 #include "paddle/phi/api/lib/api_registry.h"
 #include "paddle/phi/api/lib/api_utils.h"
 #include "paddle/phi/api/lib/data_transform.h"

python/paddle/utils/code_gen/backward_api_gen.py

@@ -142,6 +142,7 @@ def source_include(header_file_path):
 
 #include "glog/logging.h"
 
+#include "paddle/phi/api/lib/api_custom_impl.h"
 #include "paddle/phi/api/lib/api_registry.h"
 #include "paddle/phi/api/lib/api_utils.h"
 #include "paddle/phi/api/lib/data_transform.h"