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a1c234e372
Test Plan: revert-hammer
Differential Revision:
D22330340 (ce63f70981)
Original commit changeset: 0bccf925bb76
fbshipit-source-id: e27d70dee0fbe9e708b0cf3be81dbd33c4015026
40 lines
1.0 KiB
C++
40 lines
1.0 KiB
C++
#ifndef CAFFE2_OPERATORS_NORMALIZE_L1_OP_H_
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#define CAFFE2_OPERATORS_NORMALIZE_L1_OP_H_
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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template <typename T, class Context>
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class NormalizeL1Op 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(NormalizeL1Op)
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bool RunOnDevice() override {
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const auto& x = Input(0);
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const auto* xData = x.template data<T>();
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auto* y = Output(0, x.sizes(), at::dtype<T>());
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auto* yData = y->template mutable_data<T>();
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const auto canonical_axis = x.canonical_axis_index(
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this->template GetSingleArgument<int>("axis", -1));
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const int m = x.dim32(canonical_axis);
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const int n = x.numel() / m;
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const int sf = x.size_from_dim(canonical_axis + 1);
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DoNormalize(xData, yData, m, n, sf);
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return true;
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}
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private:
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void
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DoNormalize(const T* xData, T* yData, const int m, const int n, const int sf);
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};
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_NORMALIZE_L1_OP_H_
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