71 lines
2.3 KiB
71 lines
2.3 KiB
/* Copyright (c) 2016 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 <algorithm>
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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template <typename DeviceContext, typename T>
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class AccuracyKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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auto* inference = ctx.Input<Tensor>("Out");
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auto* indices = ctx.Input<Tensor>("Indices");
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auto* label = ctx.Input<Tensor>("Label");
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auto* accuracy = ctx.Output<Tensor>("Accuracy");
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auto* correct = ctx.Output<Tensor>("Correct");
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auto* total = ctx.Output<Tensor>("Total");
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int* correct_data = correct->mutable_data<int>(ctx.GetPlace());
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int* total_data = total->mutable_data<int>(ctx.GetPlace());
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float* accuracy_data = accuracy->mutable_data<float>(ctx.GetPlace());
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const int64_t* indices_data = indices->data<int64_t>();
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const int64_t* label_data = label->data<int64_t>();
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size_t num_samples = inference->dims()[0];
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size_t class_dim = inference->dims()[1];
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*accuracy_data = 0.0f;
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if (num_samples == 0) {
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return;
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}
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int num_correct = 0;
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// assume inference is already the topk of the output
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for (size_t i = 0; i < num_samples; ++i) {
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PADDLE_ENFORCE_GE(label_data[i], 0, "label must >= 0");
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for (size_t j = 0; j < class_dim; ++j) {
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if (indices_data[i * class_dim + j] == label_data[i]) {
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++num_correct;
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break;
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}
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}
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}
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*correct_data = num_correct;
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*total_data = num_samples;
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*accuracy_data =
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static_cast<float>(num_correct) / static_cast<float>(num_samples);
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}
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};
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} // namespace operators
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} // namespace paddle
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