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neilisaac / torch   python

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Version: 1.8.0 

/ include / caffe2 / operators / ceil_op.h

#ifndef CAFFE2_OPERATORS_CEIL_OP_H_
#define CAFFE2_OPERATORS_CEIL_OP_H_

#include "caffe2/core/common_omp.h"
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"

namespace caffe2 {

template <typename T, class Context>
class CeilOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  USE_SIMPLE_CTOR_DTOR(CeilOp);

  bool RunOnDevice() override {
    auto& X = Input(0);

    auto* Y = Output(0, X.sizes(), at::dtype<float>());

    const float* Xdata = X.template data<float>();
    float* Ydata = Y->template mutable_data<float>();
    for (int i = 0; i < X.numel(); ++i) {
      Ydata[i] = std::ceil(Xdata[i]);
    }
    return true;
  }
};

} // namespace caffe2

#endif // CAFFE2_OPERATORS_CEIL_OP_H_