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44 lines
1.5 KiB
44 lines
1.5 KiB
6 years ago
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/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <cmath>
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#include <unordered_map>
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#include <utility>
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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#include "paddle/fluid/operators/unique_op.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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class UniqueWithCountsKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto data_type = static_cast<framework::proto::VarType::Type>(
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context.Attr<int>("dtype"));
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auto* x = context.Input<framework::Tensor>("X");
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auto* out = context.Output<framework::Tensor>("Out");
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auto* index = context.Output<framework::Tensor>("Index");
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auto* count = context.Output<framework::Tensor>("Count");
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framework::VisitDataType(data_type,
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UniqueOpFunctor<T>(out, index, x, count));
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}
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};
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} // namespace operators
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} // namespace paddle
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