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7f33ec55b2
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9350 Re-apply #9270 Breaking this out of #8338 This takes care of the Eigen failure we saw on Mac CUDA builds when BUILD_CAFFE2 and BUILD_ATEN were removed. Fix is to isolate Eigen from headers included by cu files and processed by nvcc. This was worked on with smessmer. Reviewed By: mingzhe09088 Differential Revision: D8794431 fbshipit-source-id: de656334af46c697802073f8e8d9a6aeb9ca65a7
42 lines
1.1 KiB
C++
42 lines
1.1 KiB
C++
#include "caffe2/operators/normalize_l1_op.h"
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#include "caffe2/core/tensor.h"
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#include "caffe2/utils/eigen_utils.h"
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namespace caffe2 {
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template <typename T, class Context>
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void NormalizeL1Op<T, Context>::DoNormalize(
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const T* xData,
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T* yData,
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const int m,
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const int n,
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const int sf) {
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using InnerStride = Eigen::InnerStride<Eigen::Dynamic>;
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using StridedVec =
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Eigen::Map<Eigen::Matrix<T, 1, Eigen::Dynamic>, 0, InnerStride>;
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using ConstStridedVec =
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Eigen::Map<const Eigen::Matrix<T, 1, Eigen::Dynamic>, 0, InnerStride>;
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for (int i = 0; i < n; ++i) {
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auto base = (i / sf) * sf * m + (i % sf);
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ConstStridedVec xVec(xData + base, 1, m, InnerStride(sf));
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auto norm = xVec.template lpNorm<1>();
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if (norm != 0) {
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StridedVec yVec(yData + base, 1, m, InnerStride(sf));
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yVec = xVec / norm;
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}
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}
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};
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REGISTER_CPU_OPERATOR(NormalizeL1, NormalizeL1Op<float, CPUContext>);
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OPERATOR_SCHEMA(NormalizeL1)
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.NumInputs(1)
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.NumOutputs(1)
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.Arg("axis", "axis to normalize")
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.SetDoc(R"DOC(
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Given a matrix, apply L1-normalization along the specified axis.
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)DOC");
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} // namespace caffe2
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