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54c4b5a4db
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17082 clangr codemod Reviewed By: ezyang Differential Revision: D14078498 fbshipit-source-id: f7f65d6d81c7942293f53fdaa61f756d8b7360c1
43 lines
1.0 KiB
C++
43 lines
1.0 KiB
C++
#ifndef CAFFE2_MAP_OP_H_
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#define CAFFE2_MAP_OP_H_
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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namespace caffe2 {
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template <typename T, class Context>
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class APMeterOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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template <class... Args>
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explicit APMeterOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...),
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buffer_size_(
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this->template GetSingleArgument<int32_t>("buffer_size", 1000)),
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buffer_used_(0) {}
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bool RunOnDevice() override;
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protected:
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using BufferDataType = std::pair<float, int>;
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// Buffer the predictions for each class
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std::vector<std::vector<BufferDataType>> buffers_;
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// Capacity of the buffer
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int buffer_size_;
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// Used buffer
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int buffer_used_;
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INPUT_TAGS(PREDICTION, LABEL);
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protected:
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// Buffer predictions for N sample and D classes
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void
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BufferPredictions(const float* Xdata, const int* labelData, int N, int D);
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};
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} // namespace caffe2
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#endif // CAFFE2_MAP_OP_H_
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