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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/15088 Codemod generated with clangr shard mode, 25 files per diff, motivation: https://github.com/pytorch/pytorch/pull/12407 Reviewed By: ezyang Differential Revision: D13419682 fbshipit-source-id: 3e59403bc1c0e71e5cb66df932ed0c6a0a72e643
34 lines
782 B
C++
34 lines
782 B
C++
#ifndef CAFFE2_OPERATORS_CEIL_OP_H_
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#define CAFFE2_OPERATORS_CEIL_OP_H_
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#include "caffe2/core/common_omp.h"
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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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namespace caffe2 {
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template <typename T, class Context>
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class CeilOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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USE_SIMPLE_CTOR_DTOR(CeilOp);
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bool RunOnDevice() override {
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auto& X = Input(0);
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auto* Y = Output(0, X.sizes(), at::dtype<float>());
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const float* Xdata = X.template data<float>();
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float* Ydata = Y->template mutable_data<float>();
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for (int i = 0; i < X.numel(); ++i) {
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Ydata[i] = std::ceil(Xdata[i]);
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}
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return true;
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}
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};
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_CEIL_OP_H_
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