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未验证 提交 2ab986ae 编写于 作者: C Chen Weihang 提交者： GitHub
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[Phi] Unify dispatch macros to visit (#41653) 

* chnage dispatch to visit

* resolve conflict
上级 8e2d4d30
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Showing with 421 addition and 364 deletion
paddle/phi/api/ext/dispatch.h
浏览文件 @ 2ab986ae
...@@ -14,327 +14,57 @@ limitations under the License. */ ...@@ -14,327 +14,57 @@ limitations under the License. */
#pragma once #pragma once
#include "paddle/phi/api/ext/exception.h" #include "paddle/phi/core/visit_type.h"
#include "paddle/phi/common/data_type.h"
namespace paddle { namespace paddle {
///////// Basic Marco /////////// // Note: Keep this file only for compatibility with custom operators
#define PD_PRIVATE_CASE_TYPE_USING_HINT(NAME, enum_type, type, HINT, ...) \
case enum_type: { \
using HINT = type; \
__VA_ARGS__(); \
break; \
}
#define PD_PRIVATE_CASE_TYPE(NAME, enum_type, type, ...) \
PD_PRIVATE_CASE_TYPE_USING_HINT(NAME, enum_type, type, data_t, __VA_ARGS__)
///////// Floating Dispatch Marco /////////// ///////// Floating Dispatch Marco ///////////
#define PD_DISPATCH_FLOATING_TYPES(TYPE, NAME, ...) \ #define PD_DISPATCH_FLOATING_TYPES(TYPE, NAME, ...) \
[&] { \ PD_VISIT_FLOATING_TYPES(TYPE, NAME, __VA_ARGS__)
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
#define PD_DISPATCH_FLOATING_AND_HALF_TYPES(TYPE, NAME, ...) \ #define PD_DISPATCH_FLOATING_AND_HALF_TYPES(TYPE, NAME, ...) \
[&] { \ PD_VISIT_FLOATING_AND_HALF_TYPES(TYPE, NAME, __VA_ARGS__)
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT16, paddle::float16, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Integral Dispatch Marco /////////// ///////// Integral Dispatch Marco ///////////
#define PD_DISPATCH_INTEGRAL_TYPES(TYPE, NAME, ...) \ #define PD_DISPATCH_INTEGRAL_TYPES(TYPE, NAME, ...) \
[&] { \ PD_VISIT_INTEGRAL_TYPES(TYPE, NAME, __VA_ARGS__)
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::INT32, int, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT16, int16_t, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Complex Dispatch Marco /////////// ///////// Complex Dispatch Marco ///////////
#define PD_DISPATCH_COMPLEX_TYPES(TYPE, NAME, ...) \ #define PD_DISPATCH_COMPLEX_TYPES(TYPE, NAME, ...) \
[&] { \ PD_VISIT_COMPLEX_TYPES(TYPE, NAME, __VA_ARGS__)
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Integral Dispatch Marco /////////// ///////// Floating and Integral Dispatch Marco ///////////
#define PD_DISPATCH_FLOATING_AND_INTEGRAL_TYPES(TYPE, NAME, ...) \ #define PD_DISPATCH_FLOATING_AND_INTEGRAL_TYPES(TYPE, NAME, ...) \
[&] { \ PD_VISIT_FLOATING_AND_INTEGRAL_TYPES(TYPE, NAME, __VA_ARGS__)
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::INT32, int, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT16, int16_t, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Complex Dispatch Marco /////////// ///////// Floating and Complex Dispatch Marco ///////////
#define PD_DISPATCH_FLOATING_AND_COMPLEX_TYPES(TYPE, NAME, ...) \ #define PD_DISPATCH_FLOATING_AND_COMPLEX_TYPES(TYPE, NAME, ...) \
[&] { \ PD_VISIT_FLOATING_AND_COMPLEX_TYPES(TYPE, NAME, __VA_ARGS__)
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Complex and other type Dispatch Marco /////////// ///////// Floating and Complex and other type Dispatch Marco ///////////
#define PD_DISPATCH_FLOATING_AND_COMPLEX_AND_1_TYPES( \ #define PD_DISPATCH_FLOATING_AND_COMPLEX_AND_1_TYPE( \
SPECIFIED_TYPE, TYPE, NAME, ...) \ SPECIFIED_TYPE, TYPE, NAME, ...) \
[&] { \ PD_VISIT_FLOATING_AND_COMPLEX_AND_1_TYPE( \
const auto& __dtype__ = TYPE; \ SPECIFIED_TYPE, TYPE, NAME, __VA_ARGS__)
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Complex and 2 other type Dispatch Marco /////////// ///////// Floating and Complex and 2 other type Dispatch Marco ///////////
#define PD_DISPATCH_FLOATING_AND_COMPLEX_AND_2_TYPES( \ #define PD_DISPATCH_FLOATING_AND_COMPLEX_AND_2_TYPES( \
SPECIFIED_TYPE1, SPECIFIED_TYPE2, TYPE, NAME, ...) \ SPECIFIED_TYPE1, SPECIFIED_TYPE2, TYPE, NAME, ...) \
[&] { \ PD_VISIT_FLOATING_AND_COMPLEX_AND_2_TYPES( \
const auto& __dtype__ = TYPE; \ SPECIFIED_TYPE1, SPECIFIED_TYPE2, TYPE, NAME, __VA_ARGS__)
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE1, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE1>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE2, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE2>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating, Integral and Complex Dispatch Marco /////////// ///////// Floating, Integral and Complex Dispatch Marco ///////////
#define PD_DISPATCH_FLOATING_AND_INTEGRAL_AND_COMPLEX_TYPES(TYPE, NAME, ...) \ #define PD_DISPATCH_FLOATING_AND_INTEGRAL_AND_COMPLEX_TYPES(TYPE, NAME, ...) \
[&] { \ PD_VISIT_FLOATING_AND_INTEGRAL_AND_COMPLEX_TYPES(TYPE, NAME, __VA_ARGS__)
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::INT32, int, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT16, int16_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
// TODO(chenweihang): Add more Marcos in the future if needed
#define PD_VISIT_ALL_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::BOOL, bool, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT16, int16_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT32, int32_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::BFLOAT16, \
paddle::experimental::bfloat16, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::FLOAT16, \
paddle::experimental::float16, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::phi::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::COMPLEX64, \
paddle::experimental::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::COMPLEX128, \
paddle::experimental::complex128, \
__VA_ARGS__) \
default: \
PADDLE_THROW(phi::errors::InvalidArgument( \
"Invalid enum data type `%d`.", static_cast<int>(__dtype__))); \
} \
}()
#define PD_VISIT_BOOL_AND_FLOATING_AND_COMPLEX_AND_3_TYPES( \
SPECIFIED_TYPE1, SPECIFIED_TYPE2, SPECIFIED_TYPE3, TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::BOOL, bool, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE1, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE1>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE2, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE2>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE3, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE3>::type, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
} // namespace paddle } // namespace paddle
paddle/phi/api/lib/data_transform.cc
浏览文件 @ 2ab986ae
...@@ -14,7 +14,6 @@ limitations under the License. */ ...@@ -14,7 +14,6 @@ limitations under the License. */
#include "paddle/phi/api/lib/data_transform.h" #include "paddle/phi/api/lib/data_transform.h"
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/api/lib/kernel_dispatch.h" #include "paddle/phi/api/lib/kernel_dispatch.h"
#include "paddle/phi/api/lib/utils/storage.h" #include "paddle/phi/api/lib/utils/storage.h"
#include "paddle/phi/backends/all_context.h" #include "paddle/phi/backends/all_context.h"
......
paddle/phi/core/visit_type.h 0 → 100644
浏览文件 @ 2ab986ae
/* 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/api/ext/exception.h"
#include "paddle/phi/common/data_type.h"
namespace phi {
///////// Basic Marco ///////////
#define PD_PRIVATE_CASE_TYPE_USING_HINT(NAME, enum_type, type, HINT, ...) \
case enum_type: { \
using HINT = type; \
__VA_ARGS__(); \
break; \
}
#define PD_PRIVATE_CASE_TYPE(NAME, enum_type, type, ...) \
PD_PRIVATE_CASE_TYPE_USING_HINT(NAME, enum_type, type, data_t, __VA_ARGS__)
///////// Floating Dispatch Marco ///////////
#define PD_VISIT_FLOATING_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
#define PD_VISIT_FLOATING_AND_HALF_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT16, paddle::float16, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Integral Dispatch Marco ///////////
#define PD_VISIT_INTEGRAL_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::INT32, int, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT16, int16_t, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Complex Dispatch Marco ///////////
#define PD_VISIT_COMPLEX_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Integral Dispatch Marco ///////////
#define PD_VISIT_FLOATING_AND_INTEGRAL_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::INT32, int, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT16, int16_t, __VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Complex Dispatch Marco ///////////
#define PD_VISIT_FLOATING_AND_COMPLEX_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Complex and other type Dispatch Marco ///////////
#define PD_VISIT_FLOATING_AND_COMPLEX_AND_1_TYPE( \
SPECIFIED_TYPE, TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating and Complex and 2 other type Dispatch Marco ///////////
#define PD_VISIT_FLOATING_AND_COMPLEX_AND_2_TYPES( \
SPECIFIED_TYPE1, SPECIFIED_TYPE2, TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE1, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE1>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE2, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE2>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
///////// Floating, Integral and Complex Dispatch Marco ///////////
#define PD_VISIT_FLOATING_AND_INTEGRAL_AND_COMPLEX_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::INT32, int, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::INT16, int16_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
#define PD_VISIT_ALL_TYPES(TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::BOOL, bool, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT8, int8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::UINT8, uint8_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT16, int16_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT32, int32_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::INT64, int64_t, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::BFLOAT16, \
paddle::experimental::bfloat16, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::FLOAT16, \
paddle::experimental::float16, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, ::phi::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::phi::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::COMPLEX64, \
paddle::experimental::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::phi::DataType::COMPLEX128, \
paddle::experimental::complex128, \
__VA_ARGS__) \
default: \
PADDLE_THROW(phi::errors::InvalidArgument( \
"Invalid enum data type `%d`.", static_cast<int>(__dtype__))); \
} \
}()
#define PD_VISIT_BOOL_AND_FLOATING_AND_COMPLEX_AND_3_TYPES( \
SPECIFIED_TYPE1, SPECIFIED_TYPE2, SPECIFIED_TYPE3, TYPE, NAME, ...) \
[&] { \
const auto& __dtype__ = TYPE; \
switch (__dtype__) { \
PD_PRIVATE_CASE_TYPE(NAME, ::paddle::DataType::BOOL, bool, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT32, float, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, ::paddle::DataType::FLOAT64, double, __VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX64, \
::paddle::complex64, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE(NAME, \
::paddle::DataType::COMPLEX128, \
::paddle::complex128, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE1, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE1>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE2, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE2>::type, \
__VA_ARGS__) \
PD_PRIVATE_CASE_TYPE( \
NAME, \
SPECIFIED_TYPE3, \
::paddle::experimental::DataTypeToCppType<SPECIFIED_TYPE3>::type, \
__VA_ARGS__) \
default: \
PD_THROW("function " #NAME " is not implemented for data type `", \
__dtype__, \
"`"); \
} \
}()
} // namespace phi
paddle/phi/kernels/cpu/cast_grad_kernel.cc
浏览文件 @ 2ab986ae
...@@ -13,7 +13,9 @@ ...@@ -13,7 +13,9 @@
// limitations under the License. // limitations under the License.
#include "paddle/phi/kernels/cast_grad_kernel.h" #include "paddle/phi/kernels/cast_grad_kernel.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/cpu/cast_impl.h" #include "paddle/phi/kernels/cpu/cast_impl.h"
namespace phi { namespace phi {
......
paddle/phi/kernels/cpu/cast_impl.h
浏览文件 @ 2ab986ae
...@@ -13,7 +13,7 @@ ...@@ -13,7 +13,7 @@
// limitations under the License. // limitations under the License.
#pragma once #pragma once
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/backends/cpu/cpu_context.h"
// See Note [ Why still include the fluid headers? ] // See Note [ Why still include the fluid headers? ]
......
paddle/phi/kernels/cpu/cast_kernel.cc
浏览文件 @ 2ab986ae
...@@ -16,6 +16,7 @@ ...@@ -16,6 +16,7 @@
#include "paddle/phi/kernels/cpu/cast_impl.h" #include "paddle/phi/kernels/cpu/cast_impl.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
namespace phi { namespace phi {
......
paddle/phi/kernels/cpu/cross_entropy_grad_kernel.cc
浏览文件 @ 2ab986ae
...@@ -16,13 +16,11 @@ limitations under the License. */ ...@@ -16,13 +16,11 @@ limitations under the License. */
#include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/funcs/axis_utils.h" #include "paddle/phi/kernels/funcs/axis_utils.h"
#include "paddle/phi/kernels/funcs/eigen/common.h" #include "paddle/phi/kernels/funcs/eigen/common.h"
// TODO(chenweihang): move dispatch.h into phi/core
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
template <typename T, typename LabelT> template <typename T, typename LabelT>
...@@ -200,7 +198,7 @@ void CrossEntropyWithSoftmaxGradKernel(const Context& dev_ctx, ...@@ -200,7 +198,7 @@ void CrossEntropyWithSoftmaxGradKernel(const Context& dev_ctx,
axis, axis,
logits_grad); logits_grad);
} else { } else {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
dtype, "CrossEntropyWithSoftmaxGradCPUKernel", ([&] { dtype, "CrossEntropyWithSoftmaxGradCPUKernel", ([&] {
CrossEntropyWithSoftmaxGradCPUKernel<T, data_t>(dev_ctx, CrossEntropyWithSoftmaxGradCPUKernel<T, data_t>(dev_ctx,
label, label,
......
paddle/phi/kernels/cpu/elementwise_kernel.cc
浏览文件 @ 2ab986ae
...@@ -13,7 +13,6 @@ ...@@ -13,7 +13,6 @@
// limitations under the License. // limitations under the License.
#include "paddle/phi/kernels/cpu/elementwise.h" #include "paddle/phi/kernels/cpu/elementwise.h"
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/common/bfloat16.h" #include "paddle/phi/common/bfloat16.h"
#include "paddle/phi/common/complex.h" #include "paddle/phi/common/complex.h"
......
paddle/phi/kernels/cpu/reduce.h
浏览文件 @ 2ab986ae
...@@ -16,8 +16,8 @@ ...@@ -16,8 +16,8 @@
#include <set> #include <set>
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/cast_kernel.h" #include "paddle/phi/kernels/cast_kernel.h"
#include "paddle/phi/api/lib/utils/storage.h" #include "paddle/phi/api/lib/utils/storage.h"
......
paddle/phi/kernels/cpu/transpose_kernel.cc
浏览文件 @ 2ab986ae
...@@ -13,8 +13,9 @@ ...@@ -13,8 +13,9 @@
// limitations under the License. // limitations under the License.
#include "paddle/phi/kernels/transpose_kernel.h" #include "paddle/phi/kernels/transpose_kernel.h"
#include <vector> #include <vector>
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/common/bfloat16.h" #include "paddle/phi/common/bfloat16.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
......
paddle/phi/kernels/funcs/reduce_function.h
浏览文件 @ 2ab986ae
...@@ -35,7 +35,6 @@ namespace cub = hipcub; ...@@ -35,7 +35,6 @@ namespace cub = hipcub;
#include "paddle/fluid/platform/device/gpu/gpu_device_function.h" #include "paddle/fluid/platform/device/gpu/gpu_device_function.h"
#include "paddle/fluid/platform/device/gpu/gpu_launch_config.h" #include "paddle/fluid/platform/device/gpu/gpu_launch_config.h"
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/gpu/gpu_context.h" #include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/backends/gpu/gpu_info.h" #include "paddle/phi/backends/gpu/gpu_info.h"
#include "paddle/phi/core/dense_tensor.h" #include "paddle/phi/core/dense_tensor.h"
......
paddle/phi/kernels/gpu/cast_grad_kernel.cu
浏览文件 @ 2ab986ae
...@@ -12,8 +12,10 @@ ...@@ -12,8 +12,10 @@
// See the License for the specific language governing permissions and // See the License for the specific language governing permissions and
// limitations under the License. // limitations under the License.
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/cast_grad_kernel.h" #include "paddle/phi/kernels/cast_grad_kernel.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/gpu/cast_impl.h" #include "paddle/phi/kernels/gpu/cast_impl.h"
namespace phi { namespace phi {
......
paddle/phi/kernels/gpu/cast_impl.h
浏览文件 @ 2ab986ae
...@@ -13,7 +13,7 @@ ...@@ -13,7 +13,7 @@
// limitations under the License. // limitations under the License.
#pragma once #pragma once
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/gpu/gpu_context.h" #include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/kernels/funcs/elementwise_base.h" #include "paddle/phi/kernels/funcs/elementwise_base.h"
......
paddle/phi/kernels/gpu/cast_kernel.cu
浏览文件 @ 2ab986ae
...@@ -12,8 +12,10 @@ ...@@ -12,8 +12,10 @@
// See the License for the specific language governing permissions and // See the License for the specific language governing permissions and
// limitations under the License. // limitations under the License.
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/cast_kernel.h" #include "paddle/phi/kernels/cast_kernel.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/gpu/cast_impl.h" #include "paddle/phi/kernels/gpu/cast_impl.h"
namespace phi { namespace phi {
......
paddle/phi/kernels/gpu/cross_entropy_grad_kernel.cu
浏览文件 @ 2ab986ae
...@@ -24,15 +24,13 @@ namespace cub = hipcub; ...@@ -24,15 +24,13 @@ namespace cub = hipcub;
#include "paddle/phi/common/amp_type_traits.h" #include "paddle/phi/common/amp_type_traits.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/funcs/axis_utils.h" #include "paddle/phi/kernels/funcs/axis_utils.h"
#include "paddle/phi/kernels/funcs/for_range.h" #include "paddle/phi/kernels/funcs/for_range.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h" #include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h"
// TODO(chenweihang): move dispatch.h into phi/core
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/fluid/operators/math/cross_entropy.h" #include "paddle/fluid/operators/math/cross_entropy.h"
#include "paddle/fluid/operators/math/softmax.h" #include "paddle/fluid/operators/math/softmax.h"
#include "paddle/fluid/platform/device/gpu/gpu_device_function.h" #include "paddle/fluid/platform/device/gpu/gpu_device_function.h"
...@@ -267,7 +265,7 @@ void CrossEntropyWithSoftmaxGradKernel(const Context& dev_ctx, ...@@ -267,7 +265,7 @@ void CrossEntropyWithSoftmaxGradKernel(const Context& dev_ctx,
axis, axis,
logits_grad); logits_grad);
} else { } else {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
dtype, "CrossEntropyWithSoftmaxGradGPUKernel", ([&] { dtype, "CrossEntropyWithSoftmaxGradGPUKernel", ([&] {
CrossEntropyWithSoftmaxGradGPUKernel<T, data_t>(dev_ctx, CrossEntropyWithSoftmaxGradGPUKernel<T, data_t>(dev_ctx,
label, label,
......
paddle/phi/kernels/gpu/cross_entropy_kernel.cu
浏览文件 @ 2ab986ae
...@@ -24,15 +24,13 @@ namespace cub = hipcub; ...@@ -24,15 +24,13 @@ namespace cub = hipcub;
#include "paddle/phi/common/amp_type_traits.h" #include "paddle/phi/common/amp_type_traits.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/funcs/axis_utils.h" #include "paddle/phi/kernels/funcs/axis_utils.h"
#include "paddle/phi/kernels/funcs/for_range.h" #include "paddle/phi/kernels/funcs/for_range.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h" #include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h"
// TODO(chenweihang): move dispatch.h into phi/core
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/fluid/operators/math/cross_entropy.h" #include "paddle/fluid/operators/math/cross_entropy.h"
#include "paddle/fluid/operators/math/softmax.h" #include "paddle/fluid/operators/math/softmax.h"
#include "paddle/fluid/platform/device/gpu/gpu_device_function.h" #include "paddle/fluid/platform/device/gpu/gpu_device_function.h"
...@@ -1529,19 +1527,19 @@ void CrossEntropyWithSoftmaxKernel(const Context& dev_ctx, ...@@ -1529,19 +1527,19 @@ void CrossEntropyWithSoftmaxKernel(const Context& dev_ctx,
softmax, softmax,
loss); loss);
} else { } else {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(dtype, "CrossEntropyWithSoftmaxCUDAKernel", ([&] {
dtype, "CrossEntropyWithSoftmaxCUDAKernel", ([&] { CrossEntropyWithSoftmaxCUDAKernel<T, data_t>(
CrossEntropyWithSoftmaxCUDAKernel<T, data_t>(dev_ctx, dev_ctx,
logits, logits,
label, label,
soft_label, soft_label,
use_softmax, use_softmax,
numeric_stable_mode, numeric_stable_mode,
ignore_index, ignore_index,
axis, axis,
softmax, softmax,
loss); loss);
})); }));
} }
} }
......
paddle/phi/kernels/gpu/reduce.h
浏览文件 @ 2ab986ae
...@@ -18,6 +18,7 @@ ...@@ -18,6 +18,7 @@
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) || \ #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) || \
defined(PADDLE_WITH_XPU_KP) defined(PADDLE_WITH_XPU_KP)
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/funcs/reduce_function.h" #include "paddle/phi/kernels/funcs/reduce_function.h"
namespace phi { namespace phi {
......
paddle/phi/kernels/gpu/reduce_grad.h
浏览文件 @ 2ab986ae
...@@ -23,7 +23,7 @@ ...@@ -23,7 +23,7 @@
#include <set> #include <set>
#include <vector> #include <vector>
#include "paddle/phi/api/ext/dispatch.h" #include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/funcs/broadcast_function.h" #include "paddle/phi/kernels/funcs/broadcast_function.h"
namespace phi { namespace phi {
......
paddle/phi/kernels/gpu/transpose_kernel.cu
浏览文件 @ 2ab986ae
...@@ -14,7 +14,6 @@ ...@@ -14,7 +14,6 @@
#include <vector> #include <vector>
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/transpose_kernel.h" #include "paddle/phi/kernels/transpose_kernel.h"
......
paddle/phi/kernels/sparse/cpu/convolution_grad_kernel.cc
浏览文件 @ 2ab986ae
...@@ -13,13 +13,12 @@ See the License for the specific language governing permissions and ...@@ -13,13 +13,12 @@ See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#include "paddle/phi/kernels/sparse/convolution_grad_kernel.h" #include "paddle/phi/kernels/sparse/convolution_grad_kernel.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/funcs/blas/blas.h" #include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/sparse/cpu/convolution.h" #include "paddle/phi/kernels/sparse/cpu/convolution.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -191,7 +190,7 @@ void Conv3dGradKernel(const Context& dev_ctx, ...@@ -191,7 +190,7 @@ void Conv3dGradKernel(const Context& dev_ctx,
const bool subm, const bool subm,
SparseCooTensor* x_grad, SparseCooTensor* x_grad,
DenseTensor* kernel_grad) { DenseTensor* kernel_grad) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "Conv3dGradCPUKernel", ([&] { x.non_zero_indices().dtype(), "Conv3dGradCPUKernel", ([&] {
Conv3dGradCPUKernel<T, data_t>(dev_ctx, Conv3dGradCPUKernel<T, data_t>(dev_ctx,
x, x,
......
paddle/phi/kernels/sparse/cpu/convolution_kernel.cc
浏览文件 @ 2ab986ae
...@@ -15,10 +15,9 @@ limitations under the License. */ ...@@ -15,10 +15,9 @@ limitations under the License. */
#include "paddle/phi/kernels/sparse/cpu/convolution.h" #include "paddle/phi/kernels/sparse/cpu/convolution.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/tensor_meta.h" #include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/funcs/blas/blas.h" #include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -159,7 +158,7 @@ void Conv3dKernel(const Context& dev_ctx, ...@@ -159,7 +158,7 @@ void Conv3dKernel(const Context& dev_ctx,
const bool subm, const bool subm,
SparseCooTensor* out, SparseCooTensor* out,
DenseTensor* rulebook) { DenseTensor* rulebook) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "Conv3dCPUKernel", ([&] { x.non_zero_indices().dtype(), "Conv3dCPUKernel", ([&] {
Conv3dCPUKernel<T, data_t>(dev_ctx, Conv3dCPUKernel<T, data_t>(dev_ctx,
x, x,
......
paddle/phi/kernels/sparse/cpu/sparse_mask_kernel.cc
浏览文件 @ 2ab986ae
...@@ -16,13 +16,12 @@ limitations under the License. */ ...@@ -16,13 +16,12 @@ limitations under the License. */
#include "paddle/phi/core/ddim.h" #include "paddle/phi/core/ddim.h"
#include "paddle/phi/core/enforce.h" #include "paddle/phi/core/enforce.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/empty_kernel.h" #include "paddle/phi/kernels/empty_kernel.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/funcs/sparse/common_shape.h" #include "paddle/phi/kernels/funcs/sparse/common_shape.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -78,7 +77,7 @@ void SparseMaskKernel(const Context& dev_ctx, ...@@ -78,7 +77,7 @@ void SparseMaskKernel(const Context& dev_ctx,
const DenseTensor& x, const DenseTensor& x,
const SparseCooTensor& mask, const SparseCooTensor& mask,
SparseCooTensor* out) { SparseCooTensor* out) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
mask.non_zero_indices().dtype(), "SparseMaskCPUKernel", ([&] { mask.non_zero_indices().dtype(), "SparseMaskCPUKernel", ([&] {
SparseMaskCPUKernel<T, data_t>(dev_ctx, x, mask, out); SparseMaskCPUKernel<T, data_t>(dev_ctx, x, mask, out);
})); }));
...@@ -145,7 +144,7 @@ void SparseMaskHelperKernel(const Context& dev_ctx, ...@@ -145,7 +144,7 @@ void SparseMaskHelperKernel(const Context& dev_ctx,
const SparseCooTensor& x, const SparseCooTensor& x,
const DenseTensor& mask_indices, const DenseTensor& mask_indices,
DenseTensor* out) { DenseTensor* out) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "SparseMaskHelperCPUKernel", ([&] { x.non_zero_indices().dtype(), "SparseMaskHelperCPUKernel", ([&] {
SparseMaskHelperCPUKernel<T, data_t>(dev_ctx, x, mask_indices, out); SparseMaskHelperCPUKernel<T, data_t>(dev_ctx, x, mask_indices, out);
})); }));
......
paddle/phi/kernels/sparse/cpu/sparse_pool_grad_kernel.cc
浏览文件 @ 2ab986ae
...@@ -14,13 +14,12 @@ limitations under the License. */ ...@@ -14,13 +14,12 @@ limitations under the License. */
#include "paddle/phi/kernels/sparse/sparse_pool_grad_kernel.h" #include "paddle/phi/kernels/sparse/sparse_pool_grad_kernel.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/empty_kernel.h" #include "paddle/phi/kernels/empty_kernel.h"
#include "paddle/phi/kernels/funcs/pooling.h" #include "paddle/phi/kernels/funcs/pooling.h"
#include "paddle/phi/kernels/funcs/sparse/convolution.h" #include "paddle/phi/kernels/funcs/sparse/convolution.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -82,7 +81,7 @@ void MaxPoolGradKernel(const Context& dev_ctx, ...@@ -82,7 +81,7 @@ void MaxPoolGradKernel(const Context& dev_ctx,
const SparseCooTensor& out_grad, const SparseCooTensor& out_grad,
const std::vector<int>& kernel_sizes, const std::vector<int>& kernel_sizes,
SparseCooTensor* x_grad) { SparseCooTensor* x_grad) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "MaxPoolGradCPUKernel", ([&] { x.non_zero_indices().dtype(), "MaxPoolGradCPUKernel", ([&] {
MaxPoolGradCPUKernel<T, data_t>( MaxPoolGradCPUKernel<T, data_t>(
dev_ctx, x, rulebook, out, out_grad, kernel_sizes, x_grad); dev_ctx, x, rulebook, out, out_grad, kernel_sizes, x_grad);
......
paddle/phi/kernels/sparse/cpu/sparse_pool_kernel.cc
浏览文件 @ 2ab986ae
...@@ -15,12 +15,11 @@ limitations under the License. */ ...@@ -15,12 +15,11 @@ limitations under the License. */
#include "paddle/phi/kernels/sparse/sparse_pool_kernel.h" #include "paddle/phi/kernels/sparse/sparse_pool_kernel.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/tensor_meta.h" #include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/funcs/pooling.h" #include "paddle/phi/kernels/funcs/pooling.h"
#include "paddle/phi/kernels/funcs/sparse/convolution.h" #include "paddle/phi/kernels/funcs/sparse/convolution.h"
#include "paddle/phi/kernels/sparse/cpu/convolution.h" #include "paddle/phi/kernels/sparse/cpu/convolution.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -106,7 +105,7 @@ void MaxPoolKernel(const Context& dev_ctx, ...@@ -106,7 +105,7 @@ void MaxPoolKernel(const Context& dev_ctx,
const std::vector<int>& strides, const std::vector<int>& strides,
SparseCooTensor* out, SparseCooTensor* out,
DenseTensor* rulebook) { DenseTensor* rulebook) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "MaxPoolCPUKernel", ([&] { x.non_zero_indices().dtype(), "MaxPoolCPUKernel", ([&] {
MaxPoolCPUKernel<T, data_t>(dev_ctx, MaxPoolCPUKernel<T, data_t>(dev_ctx,
x, x,
......
paddle/phi/kernels/sparse/gpu/convolution.cu.h
浏览文件 @ 2ab986ae
...@@ -338,7 +338,7 @@ int ProductRuleBook(const Context& dev_ctx, ...@@ -338,7 +338,7 @@ int ProductRuleBook(const Context& dev_ctx,
SparseCooTensor* out, SparseCooTensor* out,
std::vector<int>* h_counter, std::vector<int>* h_counter,
std::vector<int>* h_offsets) { std::vector<int>* h_offsets) {
// TODO(zhangkaihuo): use PD_DISPATCH_INTEGRAL_TYPES for secondary dispatch // TODO(zhangkaihuo): use PD_VISIT_INTEGRAL_TYPES for secondary dispatch
auto indices_dtype = paddle::experimental::CppTypeToDataType<IntT>::Type(); auto indices_dtype = paddle::experimental::CppTypeToDataType<IntT>::Type();
const int64_t non_zero_num = x.nnz(); const int64_t non_zero_num = x.nnz();
const auto& non_zero_indices = x.non_zero_indices(); const auto& non_zero_indices = x.non_zero_indices();
......
paddle/phi/kernels/sparse/gpu/convolution_grad_kernel.cu
浏览文件 @ 2ab986ae
...@@ -18,14 +18,13 @@ limitations under the License. */ ...@@ -18,14 +18,13 @@ limitations under the License. */
#include "paddle/phi/backends/gpu/gpu_launch_config.h" #include "paddle/phi/backends/gpu/gpu_launch_config.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/tensor_meta.h" #include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/funcs/blas/blas.h" #include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/sparse/convolution_grad_kernel.h" #include "paddle/phi/kernels/sparse/convolution_grad_kernel.h"
#include "paddle/phi/kernels/sparse/gpu/convolution.cu.h" #include "paddle/phi/kernels/sparse/gpu/convolution.cu.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -249,7 +248,7 @@ void Conv3dGradKernel(const Context& dev_ctx, ...@@ -249,7 +248,7 @@ void Conv3dGradKernel(const Context& dev_ctx,
const bool subm, const bool subm,
SparseCooTensor* x_grad, SparseCooTensor* x_grad,
DenseTensor* kernel_grad) { DenseTensor* kernel_grad) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "Conv3dGradGPUKernel", ([&] { x.non_zero_indices().dtype(), "Conv3dGradGPUKernel", ([&] {
Conv3dGradGPUKernel<T, data_t>(dev_ctx, Conv3dGradGPUKernel<T, data_t>(dev_ctx,
x, x,
......
paddle/phi/kernels/sparse/gpu/convolution_kernel.cu
浏览文件 @ 2ab986ae
...@@ -15,12 +15,11 @@ limitations under the License. */ ...@@ -15,12 +15,11 @@ limitations under the License. */
#include "paddle/phi/backends/gpu/gpu_context.h" #include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/tensor_meta.h" #include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/funcs/blas/blas.h" #include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/phi/kernels/sparse/convolution_kernel.h" #include "paddle/phi/kernels/sparse/convolution_kernel.h"
#include "paddle/phi/kernels/sparse/gpu/convolution.cu.h" #include "paddle/phi/kernels/sparse/gpu/convolution.cu.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -177,7 +176,7 @@ void Conv3dKernel(const Context& dev_ctx, ...@@ -177,7 +176,7 @@ void Conv3dKernel(const Context& dev_ctx,
const bool subm, const bool subm,
SparseCooTensor* out, SparseCooTensor* out,
DenseTensor* rulebook) { DenseTensor* rulebook) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "Conv3dGPUKernel", ([&] { x.non_zero_indices().dtype(), "Conv3dGPUKernel", ([&] {
Conv3dGPUKernel<T, data_t>(dev_ctx, Conv3dGPUKernel<T, data_t>(dev_ctx,
x, x,
......
paddle/phi/kernels/sparse/gpu/sparse_mask_kernel.cu
浏览文件 @ 2ab986ae
...@@ -19,14 +19,13 @@ limitations under the License. */ ...@@ -19,14 +19,13 @@ limitations under the License. */
#include "paddle/phi/core/ddim.h" #include "paddle/phi/core/ddim.h"
#include "paddle/phi/core/enforce.h" #include "paddle/phi/core/enforce.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/empty_kernel.h" #include "paddle/phi/kernels/empty_kernel.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/funcs/sparse/common_shape.h" #include "paddle/phi/kernels/funcs/sparse/common_shape.h"
#include "paddle/phi/kernels/sparse/sparse_mask_kernel.h" #include "paddle/phi/kernels/sparse/sparse_mask_kernel.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -118,7 +117,7 @@ void SparseMaskKernel(const Context& dev_ctx, ...@@ -118,7 +117,7 @@ void SparseMaskKernel(const Context& dev_ctx,
const DenseTensor& x, const DenseTensor& x,
const SparseCooTensor& mask, const SparseCooTensor& mask,
SparseCooTensor* out) { SparseCooTensor* out) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
mask.non_zero_indices().dtype(), "SparseMaskGPUKernel", ([&] { mask.non_zero_indices().dtype(), "SparseMaskGPUKernel", ([&] {
SparseMaskGPUKernel<T, data_t>(dev_ctx, x, mask, out); SparseMaskGPUKernel<T, data_t>(dev_ctx, x, mask, out);
})); }));
...@@ -265,7 +264,7 @@ void SparseMaskHelperKernel(const Context& dev_ctx, ...@@ -265,7 +264,7 @@ void SparseMaskHelperKernel(const Context& dev_ctx,
const SparseCooTensor& x, const SparseCooTensor& x,
const DenseTensor& mask_indices, const DenseTensor& mask_indices,
DenseTensor* out) { DenseTensor* out) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "SparseMaskHelperGPUKernel", ([&] { x.non_zero_indices().dtype(), "SparseMaskHelperGPUKernel", ([&] {
SparseMaskHelperGPUKernel<T, data_t>(dev_ctx, x, mask_indices, out); SparseMaskHelperGPUKernel<T, data_t>(dev_ctx, x, mask_indices, out);
})); }));
......
paddle/phi/kernels/sparse/gpu/sparse_pool_grad_kernel.cu
浏览文件 @ 2ab986ae
...@@ -18,14 +18,13 @@ limitations under the License. */ ...@@ -18,14 +18,13 @@ limitations under the License. */
#include "paddle/phi/backends/gpu/gpu_info.h" #include "paddle/phi/backends/gpu/gpu_info.h"
#include "paddle/phi/backends/gpu/gpu_launch_config.h" #include "paddle/phi/backends/gpu/gpu_launch_config.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/empty_kernel.h" #include "paddle/phi/kernels/empty_kernel.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/funcs/pooling.h" #include "paddle/phi/kernels/funcs/pooling.h"
#include "paddle/phi/kernels/funcs/sparse/convolution.h" #include "paddle/phi/kernels/funcs/sparse/convolution.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -129,7 +128,7 @@ void MaxPoolGradKernel(const Context& dev_ctx, ...@@ -129,7 +128,7 @@ void MaxPoolGradKernel(const Context& dev_ctx,
const SparseCooTensor& out_grad, const SparseCooTensor& out_grad,
const std::vector<int>& kernel_sizes, const std::vector<int>& kernel_sizes,
SparseCooTensor* x_grad) { SparseCooTensor* x_grad) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "MaxPoolGradGPUKernel", ([&] { x.non_zero_indices().dtype(), "MaxPoolGradGPUKernel", ([&] {
MaxPoolGradGPUKernel<T, data_t>( MaxPoolGradGPUKernel<T, data_t>(
dev_ctx, x, rulebook, out, out_grad, kernel_sizes, x_grad); dev_ctx, x, rulebook, out, out_grad, kernel_sizes, x_grad);
......
paddle/phi/kernels/sparse/gpu/sparse_pool_kernel.cu
浏览文件 @ 2ab986ae
...@@ -16,12 +16,11 @@ limitations under the License. */ ...@@ -16,12 +16,11 @@ limitations under the License. */
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/tensor_meta.h" #include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/funcs/pooling.h" #include "paddle/phi/kernels/funcs/pooling.h"
#include "paddle/phi/kernels/funcs/sparse/convolution.h" #include "paddle/phi/kernels/funcs/sparse/convolution.h"
#include "paddle/phi/kernels/sparse/gpu/convolution.cu.h" #include "paddle/phi/kernels/sparse/gpu/convolution.cu.h"
#include "paddle/phi/api/ext/dispatch.h"
namespace phi { namespace phi {
namespace sparse { namespace sparse {
...@@ -136,7 +135,7 @@ void MaxPoolKernel(const Context& dev_ctx, ...@@ -136,7 +135,7 @@ void MaxPoolKernel(const Context& dev_ctx,
const std::vector<int>& strides, const std::vector<int>& strides,
SparseCooTensor* out, SparseCooTensor* out,
DenseTensor* rulebook) { DenseTensor* rulebook) {
PD_DISPATCH_INTEGRAL_TYPES( PD_VISIT_INTEGRAL_TYPES(
x.non_zero_indices().dtype(), "MaxPoolGPUKernel", ([&] { x.non_zero_indices().dtype(), "MaxPoolGPUKernel", ([&] {
MaxPoolGPUKernel<T, data_t>(dev_ctx, MaxPoolGPUKernel<T, data_t>(dev_ctx,
x, x,
......
paddle/phi/kernels/transfer_layout_kernel.cc
浏览文件 @ 2ab986ae
...@@ -14,9 +14,9 @@ limitations under the License. */ ...@@ -14,9 +14,9 @@ limitations under the License. */
#include "paddle/phi/kernels/transfer_layout_kernel.h" #include "paddle/phi/kernels/transfer_layout_kernel.h"
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/all_context.h" #include "paddle/phi/backends/all_context.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/funcs/math_function.h" #include "paddle/phi/kernels/funcs/math_function.h"
namespace phi { namespace phi {
......
paddle/phi/kernels/xpu/full_kernel.cc
浏览文件 @ 2ab986ae
...@@ -14,13 +14,13 @@ ...@@ -14,13 +14,13 @@
#include "paddle/phi/kernels/full_kernel.h" #include "paddle/phi/kernels/full_kernel.h"
#include "paddle/phi/api/ext/dispatch.h"
#include "paddle/phi/backends/xpu/xpu_context.h" #include "paddle/phi/backends/xpu/xpu_context.h"
#include "paddle/phi/common/bfloat16.h" #include "paddle/phi/common/bfloat16.h"
#include "paddle/phi/common/complex.h" #include "paddle/phi/common/complex.h"
#include "paddle/phi/common/float16.h" #include "paddle/phi/common/float16.h"
#include "paddle/phi/common/scalar.h" #include "paddle/phi/common/scalar.h"
#include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
// See Note [ Why still include the fluid headers? ] // See Note [ Why still include the fluid headers? ]
#include "paddle/fluid/memory/memcpy.h" #include "paddle/fluid/memory/memcpy.h"
......
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