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[fleet executor] add a tensor wrapper to support python numpy input (#…
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100 changes: 100 additions & 0 deletions
100
paddle/fluid/distributed/fleet_executor/dist_model_tensor_wrapper.cc
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,100 @@ | ||
| // 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/distributed/fleet_executor/dist_model_tensor_wrapper.h" | ||
| #include "paddle/fluid/platform/enforce.h" | ||
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| namespace paddle { | ||
| namespace distributed { | ||
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| void DistModelDataBuf::Reset(void* data, size_t length) { | ||
| Free(); | ||
| memory_owned_ = false; | ||
| data_ = data; | ||
| length_ = length; | ||
| } | ||
|
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| void DistModelDataBuf::Free() { | ||
| if (memory_owned_ && data_) { | ||
| PADDLE_ENFORCE_GT(length_, 0UL, | ||
| platform::errors::PreconditionNotMet( | ||
| "Error occurred when deconstruct DistModelDataBuf: " | ||
| "it contains no data!")); | ||
| // NOTE: if own the memory, it must be char* type | ||
| delete[] static_cast<char*>(data_); | ||
| data_ = nullptr; | ||
| length_ = 0; | ||
| } | ||
| } | ||
|
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| void DistModelDataBuf::Resize(size_t length) { | ||
| if (length_ >= length) { | ||
| return; | ||
| } | ||
| if (memory_owned_) { | ||
| Free(); | ||
| data_ = new char[length]; | ||
| length_ = length; | ||
| memory_owned_ = true; | ||
| } else { | ||
| PADDLE_THROW(platform::errors::PreconditionNotMet( | ||
| "The memory is allocated externally, can not Resized")); | ||
| } | ||
| } | ||
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| DistModelDataBuf& DistModelDataBuf::operator=(const DistModelDataBuf& other) { | ||
| if (!other.memory_owned_) { | ||
| data_ = other.data_; | ||
| length_ = other.length_; | ||
| memory_owned_ = other.memory_owned_; | ||
| } else { | ||
| Resize(other.length_); | ||
| if (other.length() && other.data()) { | ||
| std::memcpy(data_, other.data(), other.length()); | ||
| } else if (other.length()) { | ||
| PADDLE_THROW(platform::errors::InvalidArgument( | ||
| "Invalid argument, null pointer data with length %u is passed", | ||
| other.length())); | ||
| } | ||
| length_ = other.length_; | ||
| memory_owned_ = true; | ||
| } | ||
| return *this; | ||
| } | ||
|
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| DistModelDataBuf& DistModelDataBuf::operator=(DistModelDataBuf&& other) { | ||
| data_ = other.data_; | ||
| memory_owned_ = other.memory_owned_; | ||
| length_ = other.length_; | ||
| other.data_ = nullptr; | ||
| other.length_ = 0; | ||
| other.memory_owned_ = false; | ||
| return *this; | ||
| } | ||
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| DistModelDataBuf::DistModelDataBuf(DistModelDataBuf&& other) | ||
| : data_(other.data_), | ||
| length_(other.length_), | ||
| memory_owned_(other.memory_owned_) { | ||
| other.memory_owned_ = false; | ||
| other.data_ = nullptr; | ||
| other.length_ = 0; | ||
| } | ||
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| DistModelDataBuf::DistModelDataBuf(const DistModelDataBuf& other) { | ||
| *this = other; | ||
| } | ||
|
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| } // namespace distributed | ||
| } // namespace paddle |
77 changes: 77 additions & 0 deletions
77
paddle/fluid/distributed/fleet_executor/dist_model_tensor_wrapper.h
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| // 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 | ||
| #include <string> | ||
| #include <vector> | ||
| #include "paddle/fluid/platform/macros.h" | ||
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| namespace paddle { | ||
| namespace distributed { | ||
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| enum DistModelDataType { FLOAT16, FLOAT32, INT64, INT32, INT8 }; | ||
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| template <typename T> | ||
| constexpr DistModelDataType DistModelGetDtype(); | ||
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| template <> | ||
| constexpr DistModelDataType DistModelGetDtype<int32_t>() { | ||
| return DistModelDataType::INT32; | ||
| } | ||
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| template <> | ||
| constexpr DistModelDataType DistModelGetDtype<int64_t>() { | ||
| return DistModelDataType::INT64; | ||
| } | ||
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| template <> | ||
| constexpr DistModelDataType DistModelGetDtype<float>() { | ||
| return DistModelDataType::FLOAT32; | ||
| } | ||
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| class DistModelDataBuf { | ||
| public: | ||
| explicit DistModelDataBuf(size_t length) | ||
| : data_(new char[length]), length_(length), memory_owned_(true) {} | ||
| DistModelDataBuf(void* data, size_t length) | ||
| : data_(data), length_(length), memory_owned_(false) {} | ||
| void Reset(void* data, size_t length); | ||
| size_t length() const { return length_; } | ||
| void* data() const { return data_; } | ||
| ~DistModelDataBuf() { Free(); } | ||
| DistModelDataBuf() = default; | ||
| void Resize(size_t length); | ||
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| DistModelDataBuf& operator=(const DistModelDataBuf& other); | ||
| DistModelDataBuf& operator=(DistModelDataBuf&& other); | ||
| DistModelDataBuf(DistModelDataBuf&& other); | ||
| DistModelDataBuf(const DistModelDataBuf& other); | ||
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| private: | ||
| void Free(); | ||
| void* data_{nullptr}; | ||
| size_t length_{0}; | ||
| bool memory_owned_{false}; | ||
| }; | ||
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| struct DistModelTensor { | ||
| std::string name; | ||
| std::vector<int> shape; | ||
| DistModelDataBuf data; | ||
| DistModelDataType dtype; | ||
| std::vector<std::vector<size_t>> lod; | ||
| }; | ||
|
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| } // namespace distributed | ||
| } // namespace paddle |
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