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9024faaafe
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17596 Was reverted before, now fixed version. Reviewed By: ezyang Differential Revision: D14270288 fbshipit-source-id: c72490b5d02cc6098cb60145fa9a842b3c9a24c5
41 lines
984 B
C++
41 lines
984 B
C++
#ifndef CAFFE_OPERATORS_MOD_OP_H_
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#define CAFFE_OPERATORS_MOD_OP_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 <class Context>
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class ModOp 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 ModOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...) {
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divisor_ = this->template GetSingleArgument<int64_t>("divisor", 0);
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CAFFE_ENFORCE_NE(divisor_, 0, "divisor must not be 0");
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sign_follow_divisor_ =
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this->template GetSingleArgument<bool>("sign_follow_divisor", false);
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}
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bool RunOnDevice() override {
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return DispatchHelper<TensorTypes<int, int64_t>>::call(this, Input(DATA));
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}
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template <typename T>
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bool DoRunWithType();
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protected:
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INPUT_TAGS(DATA);
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private:
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int64_t divisor_;
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bool sign_follow_divisor_;
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};
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} // namespace caffe2
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#endif // CAFFE_OPERATORS_MOD_OP_H_
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