Searched defs:dense (Results 1 - 16 of 16) sorted by relevance

/external/tensorflow/tensorflow/core/util/
H A Dexample_proto_fast_parsing.h60 std::vector<Dense> dense; member in struct:tensorflow::example::FastParseExampleConfig
H A Dstrided_slice_op.cc62 // The dense indexed shrink mask is which processing dimensions
73 const StridedSliceSparseSpec& sparse, StridedSliceDenseSpec* dense) {
76 dense->begin.resize(dense->dims);
77 dense->end.resize(dense->dims);
78 dense->strides.resize(dense->dims);
80 dense->begin_mask = 0;
81 dense
72 BuildDenseSpec( const StridedSliceSparseSpec& sparse, StridedSliceDenseSpec* dense) argument
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/external/eigen/Eigen/src/SparseLU/
H A DSparseLU_copy_to_ucol.h43 * \param dense Store the full representation of the column
51 BlockIndexVector repfnz ,IndexVector& perm_r, BlockScalarVector dense, GlobalLU_t& glu)
89 glu.ucol(nextu) = dense(irow);
90 dense(irow) = Scalar(0.0);
50 copy_to_ucol(const Index jcol, const Index nseg, IndexVector& segrep, BlockIndexVector repfnz ,IndexVector& perm_r, BlockScalarVector dense, GlobalLU_t& glu) argument
H A DSparseLU_column_bmod.h42 * \param dense Store the full representation of the column
53 Index SparseLUImpl<Scalar,StorageIndex>::column_bmod(const Index jcol, const Index nseg, BlockScalarVector dense, ScalarVector& tempv, argument
103 // then scatter the result of sup-col update to dense
106 LU_kernel_bmod<1>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
108 LU_kernel_bmod<Dynamic>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
116 // copy the SPA dense into L\U[*,j]
131 glu.lusup(nextlu) = dense(irow);
132 dense(irow) = Scalar(0.0);
H A DSparseLU_kernel_bmod.h23 * \param[in,out] dense Packed values of the original matrix
33 static EIGEN_DONT_INLINE void run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda,
39 EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda, argument
43 // First, copy U[*,j] segment from dense(*) to tempv(*)
45 // The result of matric-vector update is in dense[*]
52 tempv(i) = dense(irow);
75 // Scatter tempv[] into SPA dense[] as a temporary storage
80 dense(irow) = tempv(i);
83 // Scatter l into SPA dense[]
87 dense(iro
100 run(const Index , BlockScalarVector& dense, ScalarVector& , ScalarVector& lusup, Index& luptr, const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros) argument
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H A DSparseLU_panel_bmod.h47 * \param dense Store the full representation of the panel
57 const Index nseg, ScalarVector& dense, ScalarVector& tempv,
113 VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here
160 VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here
178 // Scatter l into SPA dense[]
195 VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here
207 // then scatter the result of sup-col update to dense[]
56 panel_bmod(const Index m, const Index w, const Index jcol, const Index nseg, ScalarVector& dense, ScalarVector& tempv, IndexVector& segrep, IndexVector& repfnz, GlobalLU_t& glu) argument
H A DSparseLU_panel_dfs.h206 * \param[out] dense Accumulate the column vectors of the panel
219 void SparseLUImpl<Scalar,StorageIndex>::panel_dfs(const Index m, const Index w, const Index jcol, MatrixType& A, IndexVector& perm_r, Index& nseg, ScalarVector& dense, IndexVector& panel_lsub, IndexVector& segrep, IndexVector& repfnz, IndexVector& xprune, IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu) argument
235 VectorBlock<ScalarVector> dense_col(dense,nextl_col, m); // Accumulate a column vector here
H A DSparseLU.h562 ScalarVector dense; local
563 dense.setZero(maxpanel);
612 Base::panel_dfs(m, panel_size, jcol, m_mat, m_perm_r.indices(), nseg1, dense, panel_lsub, segrep, repfnz, xprune, marker, parent, xplore, m_glu);
615 Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu);
635 VectorBlock<ScalarVector> dense_k(dense, k, m);
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/
H A Dinput_data.cc104 void TensorDataSet::set_input_tensors(const Tensor& dense, argument
108 if (dense.shape().dims() == 2) {
109 dense_data_.reset(new DenseStorageType(dense.tensor<float, 2>()));
118 original_dense_tensor_ = dense;
134 if (rand_feature < available_features_.size()) { // it's dense.
H A Dcandidate_graph_runner.cc119 auto* dense = stats->mutable_classification()->mutable_dense_counts(); local
121 dense->add_value()->set_float_value(counts(i));
129 auto* dense = stats->mutable_classification()->mutable_dense_counts(); local
131 dense->add_value()->set_float_value(counts(i));
/external/tensorflow/tensorflow/core/kernels/
H A Dsparse_dense_binary_op_shared_test.cc77 AddInputFromArray<float>(TensorShape({2, 1}), {17, 19}); // dense
79 ExpectHasSubstr(RunOpKernel().ToString(), "broadcasts dense to sparse only");
90 ExpectHasSubstr(RunOpKernel().ToString(), "broadcasts dense to sparse only");
96 // [2 ] cdiv [dense: same shape, all 1's]
104 // Tensor dense(DT_FLOAT, TensorShape({3, 1}));
105 Tensor dense(DT_FLOAT, TensorShape(shape));
106 auto dense_flat = dense.flat<float>();
125 // [2 ] cdiv [dense: shape [3,1], all 1's]
133 Tensor dense(DT_FLOAT, TensorShape({3, 1}));
134 auto dense_flat = dense
211 SparseMatCMulDenseMat(Graph* g, Node* sp_indices, Node* sp_vals, Node* sp_shape, Node* dense) argument
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/external/tensorflow/tensorflow/python/layers/
H A Dcore.py179 @tf_export('layers.dense')
180 def dense( function
420 fully_connected = dense
H A Dlayers.py41 @@dense
78 from tensorflow.python.layers.core import dense namespace
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/
H A Ddata_spec.h31 // A feature could be dense or sparse, and be of any size.
67 // data set, which were flattened to a single dense float tensor and/or a
76 // dense_features_size: <size> dense: [{<col1>}{<col2>}] sparse: [{<col3>}]
94 const DataColumn& dense(int i) const { return dense_.at(i); } function in class:tensorflow::tensorforest::TensorForestDataSpec
133 // This map tracks features in the total dense feature space to their
H A Dtree_utils.cc539 GetFeatureFnType GetDenseFunctor(const Tensor& dense) { argument
540 if (dense.shape().dims() == 2) {
541 const auto dense_features = dense.matrix<float>();
549 LOG(ERROR) << "trying to access nonexistent dense features.";
/external/opencv/cv/src/
H A Dcvhistogram.cpp1415 CvMatND dense; local
1481 dense = *(CvMatND*)hist->bins;
1482 dense.type = (dense.type & ~CV_MAT_TYPE_MASK) | CV_32SC1;
1491 CV_CALL( cvConvert( (CvMatND*)hist->bins, &dense ));
1529 CV_CALL( cvConvert( &dense, (CvMatND*)hist->bins ));
2242 CV_ERROR( CV_StsBadArg, "The function supports dense histograms only" );

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