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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,105 @@ | ||
| /* Copyright (c) 2023 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 "paddle/fluid/framework/operator.h" | ||
| #include "paddle/fluid/string/string_helper.h" | ||
| #include "paddle/phi/api/ext/op_meta_info.h" | ||
|
|
||
| namespace paddle { | ||
| namespace framework { | ||
|
|
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| namespace detail { | ||
|
|
||
| // dynamic lib load func | ||
| template <typename T> | ||
| static T* DynLoad(void* handle, std::string name) { | ||
| T* func = reinterpret_cast<T*>(dlsym(handle, name.c_str())); | ||
| #if !defined(_WIN32) | ||
| auto errorno = dlerror(); | ||
| #else | ||
| auto errorno = GetLastError(); | ||
| #endif // !_WIN32 | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| func, | ||
| platform::errors::NotFound( | ||
| "Failed to load dynamic operator library, error message(%s).", | ||
| errorno)); | ||
| return func; | ||
| } | ||
|
|
||
| inline static bool IsDuplicableVar(const std::string& var_name) { | ||
| std::string suffix = kTensorVectorSuffix; | ||
| return var_name.rfind(suffix) != std::string::npos; | ||
| } | ||
|
|
||
| inline static bool IsOptionalVar(const std::string& var_name) { | ||
| std::string suffix = kOptionalSuffix; | ||
| return var_name.rfind(suffix) != std::string::npos; | ||
| } | ||
|
|
||
| inline static std::string NoGrad(const std::string& var_name, | ||
| bool is_double_grad = false) { | ||
| std::string suffix = kGradVarSuffix; | ||
| std::string new_out_suffix = kDoubleGradNewOutSuffix; | ||
| std::string tmp_var_name(var_name); | ||
| if (is_double_grad && | ||
| (tmp_var_name.rfind(new_out_suffix) != std::string::npos)) { | ||
| tmp_var_name = tmp_var_name.substr( | ||
| 0, tmp_var_name.size() - /*kDoubleGradNewOutSuffix length*/ 4); | ||
| } | ||
| return tmp_var_name.substr(0, tmp_var_name.size() - kGradVarSuffixSize); | ||
| } | ||
|
|
||
| inline static bool IsGradVar(const std::string& var_name, bool is_double_grad) { | ||
| std::string suffix = kGradVarSuffix; | ||
| if (!is_double_grad) { | ||
| return var_name.rfind(suffix) != std::string::npos; | ||
| } else { | ||
| // for double grad cases, the X@GRAD is not a grad var, X@GRAD@GRAD is a | ||
| // grad var, here we remove a @GRAD suffix | ||
| return NoGrad(var_name).rfind(suffix) != std::string::npos; | ||
| } | ||
| } | ||
|
|
||
| inline static bool IsMemberOf(const std::vector<std::string>& vec, | ||
| const std::string& name) { | ||
| return std::find(vec.cbegin(), vec.cend(), name) != vec.cend(); | ||
| } | ||
|
|
||
| static std::vector<std::string> ParseAttrStr(const std::string& attr) { | ||
| auto split_pos = attr.find_first_of(":"); | ||
| PADDLE_ENFORCE_NE(split_pos, | ||
| std::string::npos, | ||
| platform::errors::InvalidArgument( | ||
| "Invalid attribute string format. Attribute string " | ||
| "format is `<name>:<type>`.")); | ||
|
|
||
| std::vector<std::string> rlt; | ||
| // 1. name | ||
| rlt.emplace_back(string::trim_spaces(attr.substr(0, split_pos))); | ||
| // 2. type | ||
| rlt.emplace_back(string::trim_spaces(attr.substr(split_pos + 1))); | ||
|
|
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| VLOG(3) << "attr name: " << rlt[0] << ", attr type str: " << rlt[1]; | ||
|
|
||
| return rlt; | ||
| } | ||
|
|
||
| } // namespace detail | ||
| } // namespace framework | ||
| } // namespace paddle |
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