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add a subdirectory named cinn in operators and move releated files in…
…to it (#37938) 1. add a subdirectory named `cinn` in `paddle/fluid/operators` directory and move releated files into it 2. seperate CinnLaunchContext class from `cinn_launch_op.h` and put it in a new independent file named `cinn_launch_context.h`, so that it can be included by others clearly.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,13 @@ | ||
| include(operators) | ||
| register_operators(EXCLUDES cinn_launch_op) | ||
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| cc_library(cinn_launch_context SRCS cinn_launch_context.cc DEPS cinn) | ||
| op_library(cinn_launch_op SRCS cinn_launch_op.cc cinn_launch_op.cu.cc DEPS cinn cinn_compiler cinn_launch_context) | ||
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| if (WITH_TESTING) | ||
| cc_test(cinn_launch_context_test SRCS cinn_launch_context_test.cc DEPS scope lod_tensor cinn_launch_context) | ||
| set_tests_properties(cinn_launch_context_test PROPERTIES LABELS "RUN_TYPE=CINN") | ||
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| cc_test(cinn_launch_op_test SRCS cinn_launch_op_test.cc DEPS cinn_compiler cinn_launch_op elementwise_add_op) | ||
| set_tests_properties(cinn_launch_op_test PROPERTIES ENVIRONMENT "OMP_NUM_THREADS=1;runtime_include_dir=${PADDLE_BINARY_DIR}/third_party/CINN/src/external_cinn/cinn/runtime/cuda") | ||
| endif() |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,104 @@ | ||
| // Copyright (c) 2021 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. | ||
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| #pragma once | ||
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| #include <map> | ||
| #include <memory> | ||
| #include <string> | ||
| #include <unordered_map> | ||
| #include <unordered_set> | ||
| #include "cinn/hlir/framework/scope.h" | ||
| #include "cinn/hlir/framework/tensor.h" | ||
| #include "cinn/runtime/cinn_runtime.h" | ||
| #include "paddle/fluid/framework/ddim.h" | ||
| #include "paddle/fluid/framework/lod_tensor.h" | ||
| #include "paddle/fluid/platform/place.h" | ||
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| namespace paddle { | ||
| namespace operators { | ||
| namespace details { | ||
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| using LoDTensor = framework::LoDTensor; | ||
| using CinnTensor = ::cinn::hlir::framework::Tensor; | ||
| using CinnScope = ::cinn::hlir::framework::Scope; | ||
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| class CinnLaunchContext { | ||
| public: | ||
| explicit CinnLaunchContext( | ||
| const std::unordered_map<std::string, std::string>& paddle2cinn_varmap, | ||
| const std::shared_ptr<CinnScope>& cinn_scope); | ||
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| // Return whether a Paddle variable used on compiled kernels | ||
| bool IsVariableUsed(const std::string& var_name); | ||
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| // Assign tensor buffer to input or output variables | ||
| void AssignExternalVariable(const std::string& var_name, | ||
| const platform::Place& place, LoDTensor* tensor); | ||
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| // Assign tensor buffer to internal variables | ||
| void AssignInternalVariable(const std::string& var_name, | ||
| const platform::Place& place, LoDTensor* tensor); | ||
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| // Extract internal variable names from CinnScope | ||
| // by excluding used input and output variables | ||
| std::unordered_set<std::string> GetInternalVariableNames(); | ||
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| // Finalize all execution arguments and return them | ||
| const std::map<std::string, cinn_pod_value_t>& FinalizeArguments() const; | ||
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| std::vector<std::unique_ptr<cinn_buffer_t>> HandoverBuffers() { | ||
| return std::move(hold_buffers_); | ||
| } | ||
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| private: | ||
| // Get CinnTensor with CINN variable name | ||
| CinnTensor GetCinnTensor(const std::string& var_name); | ||
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| // Check whether tensors from Paddle and CINN of the same variable | ||
| // are equivalent in type and dimension | ||
| void CheckTensorEquivalent(const std::string& var_name, | ||
| const LoDTensor& paddle_tensor, | ||
| const CinnTensor& cinn_tensor); | ||
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| // Share the buffer of a Paddle tensor to CINN by delivering memory address | ||
| // to a cinn_buffer_t object | ||
| std::unique_ptr<cinn_buffer_t> ShareTensorWithCinnBuffer( | ||
| const platform::Place& place, bool free_mem_callback, LoDTensor* tensor); | ||
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| // Set an argument with (cinn name)->(paddle tensor) pair | ||
| void SetArgument(const std::string& cinn_name, const platform::Place& place, | ||
| bool free_mem_callback, LoDTensor* paddle_tensor); | ||
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| private: | ||
| // a variable name map from paddle to cinn | ||
| const std::unordered_map<std::string, std::string>& paddle2cinn_varmap_; | ||
| // the variable scope of cinn | ||
| const std::shared_ptr<CinnScope> cinn_scope_; | ||
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| // all variables used by compiled executable program | ||
| std::unordered_set<std::string> cinn_variable_names_; | ||
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| // because a cinn_pod_value_t does not own the cinn_buffer_t object, | ||
| // an extra stroage is necessary to keep the object and it can | ||
| // not be released until runtime program finish execution. | ||
| std::vector<std::unique_ptr<cinn_buffer_t>> hold_buffers_; | ||
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| // name to execution argument | ||
| std::map<std::string, cinn_pod_value_t> name2argument_; | ||
| }; | ||
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| } // namespace details | ||
| } // namespace operators | ||
| } // namespace paddle |
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