| /external/eigen/unsupported/Eigen/src/SparseExtra/ |
| DynamicSparseMatrix.h | 91 /** \returns the coefficient value at given position \a row, \a col
94 inline Scalar coeff(Index row, Index col) const
96 const Index outer = IsRowMajor ? row : col;
97 const Index inner = IsRowMajor ? col : row;
101 /** \returns a reference to the coefficient value at given position \a row, \a col
105 inline Scalar& coeffRef(Index row, Index col)
107 const Index outer = IsRowMajor ? row : col;
108 const Index inner = IsRowMajor ? col : row;
147 /** \returns a reference to the non zero coefficient at position \a row, \a col assuming that:
152 inline Scalar& insertBack(Index row, Index col
[all...] |
| /development/samples/ApiDemos/src/com/example/android/apis/view/ |
| TableLayout8.java | 55 TableRow row = new TableRow(this); local
66 row.addView(label, new TableRow.LayoutParams(1));
67 row.addView(shortcut, new TableRow.LayoutParams());
69 table.addView(row, new TableLayout.LayoutParams());
|
| /external/aac/libSACdec/src/ |
| sac_calcM1andM2.h | 124 int SpatialDecGetResidualIndex(spatialDec* self, int row);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/linear/ |
| DefaultRealMatrixChangingVisitor.java | 40 public double visit(int row, int column, double value) throws MatrixVisitorException {
|
| DefaultRealMatrixPreservingVisitor.java | 40 public void visit(int row, int column, double value)
|
| RealMatrixChangingVisitor.java | 36 * @param startRow Initial row index
37 * @param endRow Final row index (inclusive)
46 * @param row row index of the entry
52 double visit(int row, int column, double value)
|
| RealMatrixPreservingVisitor.java | 36 * @param startRow Initial row index
37 * @param endRow Final row index (inclusive)
46 * @param row row index of the entry
51 void visit(int row, int column, double value)
|
| /external/eigen/doc/examples/ |
| Tutorial_BlockOperations_colrow.cpp | 13 cout << "2nd Row: " << m.row(1) << endl;
|
| /external/libvpx/libvpx/vp9/encoder/ |
| vp9_encodemb.h | 32 void vp9_xform_quant_fp(MACROBLOCK *x, int plane, int block, int row, int col,
34 void vp9_xform_quant_dc(MACROBLOCK *x, int plane, int block, int row, int col,
36 void vp9_xform_quant(MACROBLOCK *x, int plane, int block, int row, int col,
41 void vp9_encode_block_intra(int plane, int block, int row, int col,
|
| /external/toolchain-utils/cros_utils/ |
| html_tools.py | 22 var row = document.getElementById("group_"+id);
23 if (row.style.display == '') row.style.display = 'none';
24 else row.style.display = '';
63 row = ''.join(['<th>%s</th>' % header for header in headers])
64 return '<table><tr>%s</tr>' % row
85 table.extend([GetTableRow(row) for row in rows])
|
| /frameworks/base/core/java/android/util/ |
| DayOfMonthCursor.java | 24 * <li>Keeps track of current cursor position (row, column)</li>
63 public void setSelectedRowColumn(int row, int col) {
64 mRow = row;
74 * depending on whether the selection is in the first or last row.
91 public boolean isSelected(int row, int column) {
92 return (mRow == row) && (mColumn == column);
|
| /frameworks/base/packages/SystemUI/src/com/android/systemui/statusbar/notification/ |
| NotificationMessagingTemplateViewWrapper.java | 42 ExpandableNotificationRow row) {
43 super(ctx, view, row);
54 public void onContentUpdated(ExpandableNotificationRow row) {
58 super.onContentUpdated(row);
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| avg_pool_float_2.mod.py | 21 row = 52 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_values = [1. for _ in range(bat * row * col * chn)]
|
| avg_pool_float_3.mod.py | 21 row = 200 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_values = [x % 2 for x in range(bat * row * col * chn)]
|
| avg_pool_float_4.mod.py | 21 row = 52 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_values = [10 for _ in range(bat * row * col * chn)]
|
| avg_pool_quant8_2.mod.py | 21 row = 52 variable
25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_values = [255 for _ in range(bat * row * col * chn)]
|
| avg_pool_quant8_3.mod.py | 21 row = 100 variable
25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_values = [x % 4 * 2 for x in range(bat * row * col * chn)]
|
| max_pool_float_2.mod.py | 21 row = 50 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_range = bat * row * col * chn
|
| max_pool_float_3.mod.py | 21 row = 50 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_range = bat * row * col * chn
|
| max_pool_quant8_2.mod.py | 21 row = 50 variable
25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_range = bat * row * col * chn
|
| max_pool_quant8_3.mod.py | 21 row = 50 variable
25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
45 input_range = bat * row * col * chn
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| avg_pool_float_2_relaxed.mod.py | 21 row = 52 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
46 input_values = [1. for _ in range(bat * row * col * chn)]
|
| avg_pool_float_3_relaxed.mod.py | 21 row = 200 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
46 input_values = [x % 2 for x in range(bat * row * col * chn)]
|
| avg_pool_float_4_relaxed.mod.py | 21 row = 52 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
46 input_values = [10 for _ in range(bat * row * col * chn)]
|
| max_pool_float_2_relaxed.mod.py | 21 row = 50 variable
25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
35 output_row = (row + 2 * pad - flt + std) // std
46 input_range = bat * row * col * chn
|
