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add_subdirectory(api) | ||
add_subdirectory(tests) | ||
cc_library(grad_node_info SRCS grad_node_info.cc DEPS pten pten_api) | ||
cc_library(autograd_meta SRCS autograd_meta.cc DEPS pten pten_api) | ||
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cc_library(utils SRCS utils.cc DEPS pten pten_api global_utils layer proto_desc operator op_registry variable_helper memcpy scale_op autograd_meta) |
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add_subdirectory(utils) |
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cc_library(global_utils SRCS global_utils.cc DEPS enforce) |
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// 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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#include "paddle/fluid/eager/api/utils/global_utils.h" | ||
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namespace egr { | ||
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Controller* Controller::controller_ = new Controller(); | ||
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} // namespace egr |
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// 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 "paddle/fluid/eager/eager_tensor.h" | ||
#include "paddle/fluid/platform/enforce.h" | ||
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namespace egr { | ||
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class UniqueNameGenerator { | ||
public: | ||
explicit UniqueNameGenerator(std::string prefix = "") : prefix_(prefix) {} | ||
std::string Generate(std::string key = "eager_tmp") { | ||
return prefix_ + key + "_" + std::to_string(id_++); | ||
} | ||
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private: | ||
std::atomic<int> id_{0}; | ||
std::string prefix_; | ||
}; | ||
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// Global | ||
class Controller { | ||
public: | ||
static Controller& Instance() { return *controller_; } | ||
const paddle::platform::Place& GetExpectedPlace() const { | ||
return *expected_place_.get(); | ||
} | ||
void SetExpectedPlace(const paddle::platform::Place& place) { | ||
expected_place_ = std::make_shared<paddle::platform::Place>(place); | ||
} | ||
void SetAMPLevel(int level) { amp_level_ = level; } | ||
int GetAMPLevel() const { return amp_level_; } | ||
bool HasGrad() const { return has_grad_; } | ||
std::string GenerateUniqueName(std::string key = "eager_tmp") { | ||
return generator_->Generate(key); | ||
} | ||
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private: | ||
Controller() = default; | ||
static Controller* controller_; | ||
std::shared_ptr<paddle::platform::Place> expected_place_ = nullptr; | ||
int amp_level_ = 0; | ||
bool has_grad_ = true; | ||
std::unique_ptr<UniqueNameGenerator> generator_{new UniqueNameGenerator()}; | ||
DISABLE_COPY_AND_ASSIGN(Controller); | ||
}; | ||
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} // namespace egr |
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set(eager_deps pten pten_api) | ||
set(eager_deps pten pten_api pten_tensor utils) | ||
add_subdirectory(data_structure_tests) | ||
add_subdirectory(task_tests) |
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cc_test(test_egr_ds_eager_utils SRCS eager_utils_test.cc DEPS ${eager_deps}) |
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paddle/fluid/eager/tests/task_tests/eager_utils_test.cc
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// 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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#include <sstream> | ||
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#include "gtest/gtest.h" | ||
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#include "paddle/fluid/eager/eager_tensor.h" | ||
#include "paddle/fluid/eager/grad_node_info.h" | ||
#include "paddle/fluid/eager/tests/data_structure_tests/grad_node_test.h" | ||
#include "paddle/fluid/eager/utils.h" | ||
#include "paddle/pten/api/lib/utils/allocator.h" | ||
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#include "paddle/pten/core/kernel_registry.h" | ||
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// TODO(jiabin): remove nolint here!!! | ||
using namespace egr; // NOLINT | ||
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TEST(EagerUtils, AutoGradMeta) { | ||
// Construct Eager Tensor | ||
pten::DenseTensorMeta meta = pten::DenseTensorMeta( | ||
pten::DataType::FLOAT32, paddle::framework::make_ddim({1, 1})); | ||
std::shared_ptr<pten::DenseTensor> dt0 = std::make_shared<pten::DenseTensor>( | ||
std::make_shared<paddle::experimental::DefaultAllocator>( | ||
paddle::platform::CPUPlace()), | ||
meta); | ||
dt0->mutable_data<float>()[0] = 10.0; | ||
EagerTensor et0 = EagerTensor(dt0); | ||
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std::shared_ptr<pten::DenseTensor> dt1 = std::make_shared<pten::DenseTensor>( | ||
std::make_shared<paddle::experimental::DefaultAllocator>( | ||
paddle::platform::CPUPlace()), | ||
meta); | ||
dt1->mutable_data<float>()[0] = 20.0; | ||
EagerTensor et1 = EagerTensor(dt1); | ||
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std::vector<EagerTensor> ets = {et0, et1}; | ||
auto test_node = std::make_shared<eager_test::GradTestNode>(); | ||
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// unsafe_autograd_meta() | ||
// autograd_meta() | ||
// multi_autograd_meta() | ||
AutogradMeta* autograd_meta0 = EagerUtils::autograd_meta(&et0); | ||
AutogradMeta* autograd_meta1 = EagerUtils::autograd_meta(&et1); | ||
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AutogradMeta* unsafe_autograd_meta_after = | ||
EagerUtils::unsafe_autograd_meta(et0); | ||
CHECK_NOTNULL(unsafe_autograd_meta_after); | ||
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std::vector<AutogradMeta*> autograd_metas = | ||
EagerUtils::multi_autograd_meta(&ets); | ||
std::vector<AutogradMeta*> unsafe_autograd_metas = | ||
EagerUtils::unsafe_autograd_meta(&ets); | ||
CHECK_NOTNULL(unsafe_autograd_metas[0]); | ||
CHECK_NOTNULL(unsafe_autograd_metas[1]); | ||
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// Set Autograd Meta | ||
autograd_meta0->SetSingleOutRankWithSlot(0, 1); | ||
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autograd_meta0->SetGradNode(test_node); | ||
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// OutRankInfo() | ||
std::pair<size_t, size_t> out_rank_info0 = EagerUtils::OutRankInfo(et0); | ||
CHECK_EQ(static_cast<int>(out_rank_info0.first), 0); | ||
CHECK_EQ(static_cast<int>(out_rank_info0.second), 1); | ||
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// grad_node() | ||
std::shared_ptr<GradNodeBase> grad_node0 = EagerUtils::grad_node(et0); | ||
CHECK_NOTNULL(grad_node0.get()); | ||
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EagerUtils::SetHistory(autograd_meta1, test_node); | ||
EagerUtils::SetHistory({autograd_meta1}, test_node); | ||
std::shared_ptr<GradNodeBase> grad_node1 = EagerUtils::grad_node(et1); | ||
CHECK_NOTNULL(grad_node1.get()); | ||
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// SetOutRankWithSlot() | ||
EagerUtils::SetOutRankWithSlot(autograd_meta1, 0); | ||
std::pair<size_t, size_t> out_rank_info1 = EagerUtils::OutRankInfo(et1); | ||
CHECK_EQ(static_cast<int>(out_rank_info1.first), 0); | ||
CHECK_EQ(static_cast<int>(out_rank_info1.second), 0); | ||
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EagerUtils::SetOutRankWithSlot(&autograd_metas, 0); | ||
std::pair<size_t, size_t> out_rank_info2 = EagerUtils::OutRankInfo(et0); | ||
CHECK_EQ(static_cast<int>(out_rank_info2.first), 0); | ||
CHECK_EQ(static_cast<int>(out_rank_info2.second), 0); | ||
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std::pair<size_t, size_t> out_rank_info3 = EagerUtils::OutRankInfo(et1); | ||
CHECK_EQ(static_cast<int>(out_rank_info3.first), 0); | ||
CHECK_EQ(static_cast<int>(out_rank_info3.second), 1); | ||
} |
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// 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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#include "paddle/fluid/eager/utils.h" | ||
#include "paddle/fluid/eager/api/utils/global_utils.h" | ||
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#include "paddle/pten/api/all.h" | ||
#include "paddle/pten/common/layout.h" | ||
#include "paddle/pten/core/tensor_meta.h" | ||
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#include "paddle/fluid/framework/data_layout.h" | ||
#include "paddle/fluid/framework/pten_utils.h" | ||
#include "paddle/fluid/framework/variable.h" | ||
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namespace egr { | ||
/** | ||
* Implementation of Eager Utils. | ||
**/ | ||
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AutogradMeta* EagerUtils::autograd_meta(egr::EagerTensor* target) { | ||
auto* p_autograd_meta = target->get_autograd_meta(); | ||
if (!p_autograd_meta) { | ||
auto p_autograd_meta_ptr = std::make_shared<AutogradMeta>(); | ||
p_autograd_meta = p_autograd_meta_ptr.get(); | ||
target->set_autograd_meta(p_autograd_meta_ptr); | ||
} | ||
return static_cast<AutogradMeta*>(p_autograd_meta); | ||
} | ||
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AutogradMeta* EagerUtils::unsafe_autograd_meta(const egr::EagerTensor& target) { | ||
auto* p_autograd_meta = target.get_autograd_meta(); | ||
PADDLE_ENFORCE(p_autograd_meta, | ||
paddle::platform::errors::Fatal( | ||
"Null autograd_meta gotten from unsafe_autograd_meta()")); | ||
return static_cast<AutogradMeta*>(p_autograd_meta); | ||
} | ||
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std::vector<AutogradMeta*> EagerUtils::unsafe_autograd_meta( | ||
std::vector<egr::EagerTensor>* targets) { | ||
std::vector<AutogradMeta*> metas; | ||
for (const egr::EagerTensor& t : *targets) { | ||
metas.push_back(unsafe_autograd_meta(t)); | ||
} | ||
return metas; | ||
} | ||
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std::vector<AutogradMeta*> EagerUtils::multi_autograd_meta( | ||
std::vector<egr::EagerTensor>* targets) { | ||
std::vector<AutogradMeta*> ret; | ||
ret.reserve(targets->size()); | ||
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// for multi_autograd_meta we can tolerent it has nullptr. | ||
for (auto& t : (*targets)) { | ||
auto* p_autograd_meta = autograd_meta(&t); | ||
ret.push_back(static_cast<AutogradMeta*>(p_autograd_meta)); | ||
} | ||
return ret; | ||
} | ||
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std::pair<size_t, size_t> EagerUtils::OutRankInfo( | ||
const egr::EagerTensor& target) { | ||
return unsafe_autograd_meta(target)->OutRankInfo(); | ||
} | ||
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std::shared_ptr<GradNodeBase> EagerUtils::grad_node( | ||
const egr::EagerTensor& target) { | ||
return unsafe_autograd_meta(target)->GetMutableGradNode(); | ||
} | ||
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void EagerUtils::SetHistory(std::vector<AutogradMeta*>* autograd_metas, | ||
const std::shared_ptr<GradNodeBase>& grad_node) { | ||
for (const auto& autograd_meta : *autograd_metas) { | ||
autograd_meta->SetGradNode(grad_node); | ||
} | ||
} | ||
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void EagerUtils::SetHistory(AutogradMeta* autograd_meta, | ||
const std::shared_ptr<GradNodeBase>& grad_node) { | ||
autograd_meta->SetGradNode(grad_node); | ||
} | ||
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void EagerUtils::SetOutRankWithSlot(std::vector<AutogradMeta*>* targets, | ||
size_t slot_id) { | ||
// Set OutRankInfo from 0 to size of targets | ||
for (size_t i = 0; i < targets->size(); i++) { | ||
(*targets)[i]->SetSingleOutRankWithSlot(slot_id, i); | ||
} | ||
} | ||
void EagerUtils::SetOutRankWithSlot(AutogradMeta* target, size_t slot_id) { | ||
target->SetSingleOutRankWithSlot(slot_id, 0); | ||
} | ||
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} // namespace egr |
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// 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 "paddle/fluid/eager/autograd_meta.h" | ||
#include "paddle/fluid/eager/eager_tensor.h" | ||
#include "paddle/fluid/eager/grad_node_info.h" | ||
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#include "paddle/pten/api/all.h" | ||
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namespace egr { | ||
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/** | ||
* EagerUtils is utils used to do some static conversion or autograd | ||
* members access, this class is desinged to be a full static functional | ||
* utils class | ||
* **/ | ||
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class EagerUtils { | ||
public: | ||
/** | ||
* We have to use autograd_meta and multi_autograd_meta to initialize | ||
* autograd_meta for tensor, since we can't init it in | ||
* egr::EagerTensor's | ||
* constructor (it's abstract class there) | ||
* | ||
* **/ | ||
static AutogradMeta* autograd_meta(egr::EagerTensor* target); | ||
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static std::vector<AutogradMeta*> multi_autograd_meta( | ||
std::vector<egr::EagerTensor>* targets); | ||
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static std::pair<size_t, size_t> OutRankInfo(const egr::EagerTensor& target); | ||
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static std::shared_ptr<GradNodeBase> grad_node( | ||
const egr::EagerTensor& target); | ||
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// Set history is used to set backward info during forward process, it will | ||
// set forward var's autograd meta's grad node as current backward node. | ||
static void SetHistory(std::vector<AutogradMeta*>* autograd_metas, | ||
const std::shared_ptr<GradNodeBase>& grad_node); | ||
static void SetHistory(AutogradMeta* autograd_meta, | ||
const std::shared_ptr<GradNodeBase>& grad_node); | ||
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// This is used for Set vector of tensors' rank | ||
static void SetOutRankWithSlot(std::vector<AutogradMeta*>* targets, | ||
size_t slot_id); | ||
static void SetOutRankWithSlot(AutogradMeta* target, size_t slot_id); | ||
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// This method will return an AutogradMeta pointer unsafely. | ||
static AutogradMeta* unsafe_autograd_meta(const egr::EagerTensor& target); | ||
static std::vector<AutogradMeta*> unsafe_autograd_meta( | ||
std::vector<egr::EagerTensor>* targets); | ||
}; | ||
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} // namespace egr |