| /external/deqp/external/vulkancts/modules/vulkan/image/ |
| vktImageTexture.cpp | 126 int Texture::dimension (void) const function in class:vkt::image::Texture
|
| /packages/apps/DocumentsUI/src/com/android/documentsui/sorting/ |
| TableHeaderController.java | 83 SortDimension dimension = mModel.getDimensionById(id); local
85 cell.setTag(dimension);
87 cell.onBind(dimension);
88 if (dimension.getVisibility() == View.VISIBLE
89 && dimension.getSortCapability() != SortDimension.SORT_CAPABILITY_NONE) {
97 SortDimension dimension = (SortDimension) v.getTag(); local
99 mModel.sortByUser(dimension.getId(), dimension.getNextDirection());
|
| HeaderCell.java | 61 void onBind(SortDimension dimension) {
62 setVisibility(dimension.getVisibility());
64 if (dimension.getVisibility() == View.VISIBLE) {
66 label.setText(dimension.getLabelId());
67 switch (dimension.getDataType()) {
76 "Unknown column data type: " + dimension.getDataType() + ".");
79 if (mCurDirection != dimension.getSortDirection()) {
81 switch (dimension.getSortDirection()) {
95 "Unknown sort direction: " + dimension.getSortDirection() + ".");
98 mCurDirection = dimension.getSortDirection()
[all...] |
| DropdownSortWidgetController.java | 83 SortDimension dimension = mModel.getDimensionAt(i); local
84 if (dimension.getSortCapability() != SortDimension.SORT_CAPABILITY_NONE) {
85 menu.add(0, dimension.getId(), Menu.NONE, dimension.getLabelId());
112 SortDimension dimension = mModel.getDimensionById(item.getItemId()); local
113 item.setVisible(dimension.getVisibility() == View.VISIBLE);
121 SortDimension dimension = mModel.getDimensionById(sortedId); local
122 mDimensionButton.setText(dimension.getLabelId());
130 final SortDimension dimension = mModel.getDimensionById(sortedId); local
131 switch (dimension.getSortDirection())
159 final SortDimension dimension = mModel.getDimensionById(item.getItemId()); local
176 final SortDimension dimension = mModel.getDimensionById(id); local
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/exception/ |
| DimensionMismatchException.java | 32 /** Correct dimension. */
33 private final int dimension; field in class:DimensionMismatchException
38 * @param wrong Wrong dimension.
39 * @param expected Expected dimension.
44 dimension = expected;
48 * @return the expected dimension.
51 return dimension;
|
| /external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
| parallel_loop_emitter.cc | 43 const int64 dimension = LayoutUtil::Minor(shape_.layout(), i); local
46 // Emit dynamic loop bounds for this dimension. Dynamic loop bounds
52 /*suffix=*/tensorflow::strings::Printf("dim.%lld", dimension),
54 array_index[dimension] = loop->GetIndVarValue();
56 // Emit static loop bounds for this dimension.
59 /*end_index=*/shape_.dimensions(dimension),
60 /*suffix=*/tensorflow::strings::Printf("dim.%lld", dimension));
61 array_index[dimension] = loop->GetIndVarValue();
|
| shape_partition.cc | 29 const int64 dimension = shape_.layout().minor_to_major(i); local
30 outer_dims.push_back(dimension);
31 outer_dim_size *= shape_.dimensions(dimension);
40 // Calculate the target number of partitions per-dimension, by factoring
49 // Assign feasible dimension partitions based on 'target_dim_partition_count'
50 // and actual dimension sizes from 'shape_'.
76 // Clip 'additional_partition_count' by current dimension size.
111 // Calculate partition size for each dimension (note that the size of
112 // the last partition in each dimension may be different if the dimension
[all...] |
| shape_partition_test.cc | 35 // Check all partitions of outer dimension.
40 // Check target_partition_count > outer dimension size.
208 // Choose random outer dimension partition counts.
213 const int64 dimension = shape.layout().minor_to_major( local
215 dim_sizes[i] = shape.dimensions(dimension);
217 // Choose dimension partition count in [1, dim_size]
222 // index ranges by dimension.
234 // Check that partitions cover entire dimension size range (for each
235 // partitioned dimension).
|
| /external/tensorflow/tensorflow/compiler/xla/service/llvm_ir/ |
| loop_emitter.cc | 99 // Create loop nest with one for-loop for each dimension of the target shape.
101 // class so emit loops in order from most-major dimension down to most-minor
102 // dimension (of the target shape).
106 int64 dimension = LayoutUtil::Major(shape_.layout(), i); local
109 /*end_index=*/shape_.dimensions(dimension),
110 /*suffix=*/tensorflow::strings::Printf("dim.%lld", dimension));
111 array_index[dimension] = loop->GetIndVarValue();
|
| /external/webrtc/webrtc/modules/audio_processing/vad/ |
| gmm.h | 23 // weight[n] = log(w[n]) - |dimension|/2 * log(2*pi) - 1/2 * log(det(cov[n]));
26 // pointer to the first element of a |num_mixtures|x|dimension| matrix
29 // pointer to the first element of a |num_mixtures|x|dimension|x|dimension|
34 int dimension; member in struct:webrtc::GmmParameters
41 // acceptable dimension by the following function -1 is returned.
|
| /frameworks/base/cmds/statsd/tests/metrics/ |
| metrics_test_helper.cpp | 22 HashableDimensionKey dimension; local
24 dimension.addValue(FieldValue(Field(tagId, pos, 0), Value(value)));
26 return dimension;
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
| UnitSphereRandomVectorGenerator.java | 37 * Space dimension.
39 private final int dimension; field in class:UnitSphereRandomVectorGenerator
42 * @param dimension Space dimension.
45 public UnitSphereRandomVectorGenerator(final int dimension,
47 this.dimension = dimension;
54 * @param dimension Space dimension.
56 public UnitSphereRandomVectorGenerator(final int dimension) {
[all...] |
| /external/javaparser/javaparser-symbol-solver-testing/src/test/test_sourcecode/javaparser_new_src/javaparser-core/com/github/javaparser/ast/ |
| ArrayCreationLevel.java | 20 private Expression dimension; field in class:ArrayCreationLevel
23 public ArrayCreationLevel(Range range, Expression dimension, List<AnnotationExpr> annotations) {
25 setDimension(dimension);
37 public void setDimension(Expression dimension) {
38 this.dimension = dimension;
39 setAsParentNodeOf(dimension);
43 return dimension;
|
| /external/tensorflow/tensorflow/compiler/xla/ |
| window_util.cc | 32 auto* dimension = window.add_dimensions(); local
33 dimension->set_size(size);
34 dimension->set_stride(1);
35 dimension->set_base_dilation(1);
36 dimension->set_window_dilation(1);
44 auto* dimension = config.add_dimensions(); local
45 dimension->set_edge_padding_low(size);
46 dimension->set_edge_padding_high(size);
|
| /packages/apps/Gallery2/jni/filters/ |
| kmeans.cc | 50 int dimension = 3; local
58 runKMeans<unsigned char, int>(k, finalCentroids, small_ds, len, dimension,
68 dimension, stride, iterations, finalCentroids);
73 applyCentroids<unsigned char, int>(k, nextCentroids, dst, len, dimension, stride);
|
| /art/runtime/mirror/ |
| array.cc | 88 int dimension = dimensions->Get(i); local
89 if (UNLIKELY(dimension < 0)) {
90 ThrowNegativeArraySizeException(StringPrintf("Dimension %d: %d", i, dimension).c_str());
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/ |
| FirstOrderConverter.java | 29 * <p>The transformation is done by changing the n dimension state
30 * vector to a 2n dimension vector, where the first n components are
63 /** second order problem dimension. */
64 private final int dimension; field in class:FirstOrderConverter
81 dimension = equations.getDimension();
82 z = new double[dimension];
83 zDot = new double[dimension];
84 zDDot = new double[dimension];
87 /** Get the dimension of the problem.
88 * <p>The dimension of the first order problem is twice th
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/nonstiff/ |
| RungeKuttaStepInterpolator.java | 84 final int dimension = currentState.length; local
88 yDotK[k] = new double[dimension];
90 yDotK[k], 0, dimension);
|
| /sdk/eclipse/plugins/com.android.ide.eclipse.adt/src/com/android/ide/eclipse/adt/internal/lint/ |
| LinearLayoutWeightFix.java | 56 String dimension; local
59 dimension = ATTR_LAYOUT_HEIGHT;
61 dimension = ATTR_LAYOUT_WIDTH;
63 element.setAttributeNS(ANDROID_URI, dimension, VALUE_ZERO_DP);
|
| /external/eigen/unsupported/test/ |
| splines.cpp | 243 const unsigned int dimension = 2; local
246 ArrayXXd points = ArrayXXd::Random(dimension, numPoints);
251 ArrayXXd derivatives = ArrayXXd::Random(dimension, numPoints);
|
| /external/javaparser/javaparser-core/src/main/java/com/github/javaparser/ast/ |
| ArrayCreationLevel.java | 50 private Expression dimension; field in class:ArrayCreationLevel
58 public ArrayCreationLevel(int dimension) {
59 this(null, new IntegerLiteralExpr("" + dimension), new NodeList<>());
62 public ArrayCreationLevel(Expression dimension) {
63 this(null, dimension, new NodeList<>());
67 public ArrayCreationLevel(Expression dimension, NodeList<AnnotationExpr> annotations) {
68 this(null, dimension, annotations);
75 public ArrayCreationLevel(TokenRange tokenRange, Expression dimension, NodeList<AnnotationExpr> annotations) {
77 setDimension(dimension);
95 * Sets the dimension
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| wishart.py | 133 dtype=self._scale_operator.dtype, name="dimension")
137 dtype=self._scale_operator.dtype, name="dimension")
147 "dimension of scale matrix (scale.dimension = %s)"
153 "less than dimension of scale matrix "
154 "(scale.dimension = %s)" %
195 def dimension(self): member in class:_WishartLinearOperator
196 """Dimension of underlying vector space. The `p` in `R^(p*p)`."""
200 dimension = self.scale_operator.domain_dimension_tensor()
201 return array_ops.stack([dimension, dimension]
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| argmax_op.cc | 50 const Tensor& dimension = context->input(1); variable
52 OP_REQUIRES(context, TensorShapeUtils::IsScalar(dimension.shape()),
55 dimension.shape().DebugString()));
57 const int32 dim = internal::SubtleMustCopy(dimension.scalar<int32>()());
63 errors::InvalidArgument("Expected dimension in the range [",
126 .HostMemory("dimension"), \
132 .HostMemory("dimension"), \
138 .HostMemory("dimension"), \
144 .HostMemory("dimension"), \
158 const int32 dimension, typename TTypes<Tout, Dims - 1>::Tensor output);
[all...] |
| /external/tensorflow/tensorflow/core/ops/ |
| math_ops_test.cc | 66 INFER_ERROR("Dimension 1 in both shapes must be equal, but are 2 and 4", op,
91 // Data shape with single dimension.
152 // Multiple dimension cases (same test cases, switching x and y).
190 INFER_ERROR("Dimension 2 in both shapes must be equal, but are 3 and 5", op,
347 INFER_ERROR(("Dimension size, given by scalar input 2, must be "
361 INFER_ERROR("Dimension 0 in both shapes must be equal, but are 3 and 4", op,
436 // Incorrect rank for dimension
439 // dimension not available, but input rank is. Output is unknown
444 // Dimension values known
445 Tensor dimension = test::AsScalar(0) local
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/interpolation/ |
| MicrosphereInterpolatingFunction.java | 41 * Space dimension.
43 private final int dimension; field in class:MicrosphereInterpolatingFunction
134 * point (where {@code dimension} is thus the dimension of the sampled
144 * have lengths different from {@code dimension}.
161 dimension = xval[0].length;
168 if ( xvalI.length != dimension) {
169 throw new DimensionMismatchException(xvalI.length, dimension);
|
