| /external/eigen/doc/snippets/ |
| MatrixBase_cwiseMin.cpp | 2 cout << v.cwiseMin(w) << endl;
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| /external/eigen/Eigen/src/plugins/ |
| MatrixCwiseBinaryOps.h | 78 cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
89 cwiseMin(const Scalar &other) const
91 return cwiseMin(Derived::Constant(rows(), cols(), other));
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| /external/tensorflow/tensorflow/core/kernels/ |
| colorspace_op.h | 76 auto dr = ((dh - T(3)).abs() - T(1)).cwiseMax(T(0)).cwiseMin(T(1));
77 auto dg = (-(dh - T(2)).abs() + T(2)).cwiseMax(T(0)).cwiseMin(T(1));
78 auto db = (-(dh - T(4)).abs() + T(2)).cwiseMax(T(0)).cwiseMin(T(1));
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| quantize_and_dequantize_op.h | 72 ((input.cwiseMin(max_range).cwiseMax(min_range) - min_range) *
94 ((input.cwiseMin(max_range).cwiseMax(min_range)) * scale + T(0.5))
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| quantize_op.cc | 156 ((input.flat<float>().cwiseMin(max_range).cwiseMax(min_range) -
165 o = ((input.flat<float>().cwiseMin(max_range).cwiseMax(min_range) -
209 (input.flat<float>().cwiseMin(max_range).cwiseMax(min_range) *
216 (input.flat<float>().cwiseMin(max_range).cwiseMax(min_range) *
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| fake_quant_ops_functor.h | 92 auto clamped = inputs.cwiseMin(nudged_max).cwiseMax(nudged_min);
143 const auto clamped = inputs.cwiseMin(nudged_max).cwiseMax(nudged_min);
216 inputs.chip<1>(i).cwiseMin(nudged_max).cwiseMax(nudged_min);
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| adjust_contrast_op.h | 85 output.device(d) = adjusted.cwiseMin(max_bcast).cwiseMax(min_bcast);
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| histogram_op.cc | 62 .cwiseMin(nbins - 1);
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| quantized_activation_ops.cc | 85 .cwiseMin(max_as_quantized)
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| quantized_pooling_ops.cc | 91 .cwiseMin(highest)
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| relu_op_functor.h | 69 features.cwiseMax(static_cast<T>(0)).cwiseMin(static_cast<T>(6));
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| eigen_attention.h | 200 .cwiseMin(
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| quantization_utils.h | 153 .cwiseMin(f2q.upper_bound_float()) \
720 .cwiseMin(255LL)
[all...] |
| segment_reduction_ops.cc | 419 output = data.cwiseMin(output);
[all...] |
| training_ops.cc | [all...] |
| /external/eigen/Eigen/src/Geometry/ |
| AlignedBox.h | 203 m_min = m_min.cwiseMin(p_n);
212 m_min = m_min.cwiseMin(b.m_min);
223 m_max = m_max.cwiseMin(b.m_max);
231 {return AlignedBox(m_min.cwiseMax(b.m_min), m_max.cwiseMin(b.m_max)); }
237 { return AlignedBox(m_min.cwiseMin(b.m_min), m_max.cwiseMax(b.m_max)); }
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| /external/eigen/test/ |
| array_for_matrix.cpp | 118 VERIFY_IS_APPROX( (m1.array()<m2.array()).select(m1,m2), m1.cwiseMin(m2) );
187 VERIFY_IS_APPROX(MatrixType::Constant(rows,cols, minM1), m1.cwiseMin(MatrixType::Constant(rows,cols, minM1)));
188 VERIFY_IS_APPROX(m1, m1.cwiseMin(MatrixType::Constant(rows,cols, maxM1)));
194 VERIFY_IS_APPROX(MatrixType::Constant(rows,cols, minM1), m1.cwiseMin( minM1));
195 VERIFY_IS_APPROX(m1, m1.cwiseMin(maxM1));
196 VERIFY_IS_APPROX(-m1, (-m1).cwiseMin(-minM1));
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| block.cpp | 18 VERIFY_IS_APPROX(m1.col(c1).cwiseMin(s1), m1.cwiseMin(s1).col(c1));
20 VERIFY_IS_APPROX(m1.block(r1,c1,r2-r1+1,c2-c1+1).cwiseMin(s1), m1.cwiseMin(s1).block(r1,c1,r2-r1+1,c2-c1+1));
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| array.cpp | 175 VERIFY_IS_APPROX( (m1<m2).select(m1,m2), m1.cwiseMin(m2) );
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| /external/eigen/bench/ |
| BenchTimer.h | 87 m_bests = m_bests.cwiseMin(m_times);
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| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| TensorCostModel.h | 97 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost cwiseMin(
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| TensorBase.h | 298 cwiseMin(Scalar threshold) const {
299 return cwiseMin(constant(threshold));
366 cwiseMin(const OtherDerived& other) const {
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/kernels/ |
| clustering_ops.cc | 167 min_distances = min_distances.cwiseMin(GetHalfSquaredDistancesToY(
180 min_distances.cwiseMin(GetHalfSquaredDistancesToY(
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