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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/15967 Codemod generated with clangr shard mode, 25 files per diff, To eliminiate partially initialized Tensor, we split the initialization of local Tensor variables into two steps, first declare un uninitialized Tensor, and call `ReinitializeTensor` to initialize it. motivation: https://github.com/pytorch/pytorch/pull/12407 Reviewed By: smessmer Differential Revision: D13586735 fbshipit-source-id: eae2d79e1107a2e813ce3809e690af4706aaa9ca
61 lines
1.6 KiB
C++
61 lines
1.6 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef CAFFE_OPERATORS_UNIQUE_OPS_H_
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#define CAFFE_OPERATORS_UNIQUE_OPS_H_
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#include <cmath>
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#include "caffe2/core/context.h"
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#include "caffe2/core/logging.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/core/types.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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/**
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* Deduplicates input indices vector and optionally produces reverse remapping.
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* Current implementation produces a sorted list but it's not guaranteed in
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* general.
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*/
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template <class Context>
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class UniqueOp : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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USE_SIMPLE_CTOR_DTOR(UniqueOp)
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bool RunOnDevice() override {
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return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(this, Input(0));
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}
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template <typename T>
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bool DoRunWithType();
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private:
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vector<int> order_;
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Tensor thrust_unique_buffer_;
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Tensor cuda_order_buffer_{Context::GetDeviceType()};
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Tensor second_order_buffer_{Context::GetDeviceType()};
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public:
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OUTPUT_TAGS(UNIQUE, REMAPPING);
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};
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} // namespace caffe2
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#endif // CAFFE_OPERATORS_UNIQUE_OPS_H_
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