Searched refs:dimension (Results 1 - 25 of 364) sorted by relevance

1234567891011>>

/external/apache-commons-math/src/main/java/org/apache/commons/math/ode/
H A DFirstOrderConverter.java29 * <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 o
[all...]
/external/apache-commons-math/src/main/java/org/apache/commons/math/random/
H A DUnitSphereRandomVectorGenerator.java37 * Space dimension.
39 private final int dimension; field in class:UnitSphereRandomVectorGenerator
42 * @param dimension Space dimension.
45 public UnitSphereRandomVectorGenerator(final int dimension, argument
47 this.dimension = dimension;
54 * @param dimension Space dimension.
56 public UnitSphereRandomVectorGenerator(final int dimension) { argument
[all...]
H A DUncorrelatedRandomVectorGenerator.java67 * @param dimension dimension of the vectors to generate
71 public UncorrelatedRandomVectorGenerator(int dimension, argument
73 mean = new double[dimension];
74 standardDeviation = new double[dimension];
/external/apache-commons-math/src/main/java/org/apache/commons/math/exception/
H A DDimensionMismatchException.java32 /** 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/eigen/unsupported/test/
H A Dcxx11_tensor_layout_swap.cpp22 VERIFY_IS_EQUAL(tensor.dimension(0), tensor2.dimension(2));
23 VERIFY_IS_EQUAL(tensor.dimension(1), tensor2.dimension(1));
24 VERIFY_IS_EQUAL(tensor.dimension(2), tensor2.dimension(0));
43 VERIFY_IS_EQUAL(tensor.dimension(0), tensor2.dimension(2));
44 VERIFY_IS_EQUAL(tensor.dimension(1), tensor2.dimension(
[all...]
H A Dcxx11_tensor_patch.cpp32 VERIFY_IS_EQUAL(no_patch.dimension(0), 1);
33 VERIFY_IS_EQUAL(no_patch.dimension(1), 1);
34 VERIFY_IS_EQUAL(no_patch.dimension(2), 1);
35 VERIFY_IS_EQUAL(no_patch.dimension(3), 1);
36 VERIFY_IS_EQUAL(no_patch.dimension(4), tensor.size());
38 VERIFY_IS_EQUAL(no_patch.dimension(0), tensor.size());
39 VERIFY_IS_EQUAL(no_patch.dimension(1), 1);
40 VERIFY_IS_EQUAL(no_patch.dimension(2), 1);
41 VERIFY_IS_EQUAL(no_patch.dimension(3), 1);
42 VERIFY_IS_EQUAL(no_patch.dimension(
[all...]
H A Dcxx11_tensor_volume_patch.cpp15 VERIFY_IS_EQUAL(single_voxel_patch.dimension(0), 4);
16 VERIFY_IS_EQUAL(single_voxel_patch.dimension(1), 1);
17 VERIFY_IS_EQUAL(single_voxel_patch.dimension(2), 1);
18 VERIFY_IS_EQUAL(single_voxel_patch.dimension(3), 1);
19 VERIFY_IS_EQUAL(single_voxel_patch.dimension(4), 2 * 3 * 5);
20 VERIFY_IS_EQUAL(single_voxel_patch.dimension(5), 7);
24 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(0), 7);
25 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(1), 2 * 3 * 5);
26 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(2), 1);
27 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(
[all...]
H A Dcxx11_tensor_image_patch.cpp21 VERIFY_IS_EQUAL(tensor.dimension(0), tensor_row_major.dimension(3));
22 VERIFY_IS_EQUAL(tensor.dimension(1), tensor_row_major.dimension(2));
23 VERIFY_IS_EQUAL(tensor.dimension(2), tensor_row_major.dimension(1));
24 VERIFY_IS_EQUAL(tensor.dimension(3), tensor_row_major.dimension(0));
29 VERIFY_IS_EQUAL(single_pixel_patch.dimension(0), 2);
30 VERIFY_IS_EQUAL(single_pixel_patch.dimension(
[all...]
H A Dcxx11_tensor_inflation.cpp31 VERIFY_IS_EQUAL(no_stride.dimension(0), 2);
32 VERIFY_IS_EQUAL(no_stride.dimension(1), 3);
33 VERIFY_IS_EQUAL(no_stride.dimension(2), 5);
34 VERIFY_IS_EQUAL(no_stride.dimension(3), 7);
53 VERIFY_IS_EQUAL(inflated.dimension(0), 3);
54 VERIFY_IS_EQUAL(inflated.dimension(1), 9);
55 VERIFY_IS_EQUAL(inflated.dimension(2), 9);
56 VERIFY_IS_EQUAL(inflated.dimension(3), 19);
H A Dcxx11_tensor_shuffling.cpp31 VERIFY_IS_EQUAL(no_shuffle.dimension(0), 2);
32 VERIFY_IS_EQUAL(no_shuffle.dimension(1), 3);
33 VERIFY_IS_EQUAL(no_shuffle.dimension(2), 5);
34 VERIFY_IS_EQUAL(no_shuffle.dimension(3), 7);
53 VERIFY_IS_EQUAL(shuffle.dimension(0), 5);
54 VERIFY_IS_EQUAL(shuffle.dimension(1), 7);
55 VERIFY_IS_EQUAL(shuffle.dimension(2), 3);
56 VERIFY_IS_EQUAL(shuffle.dimension(3), 2);
98 VERIFY_IS_EQUAL(result.dimension(0), 5);
99 VERIFY_IS_EQUAL(result.dimension(
[all...]
H A Dcxx11_tensor_reverse.cpp33 VERIFY_IS_EQUAL(reversed_tensor.dimension(0), 2);
34 VERIFY_IS_EQUAL(reversed_tensor.dimension(1), 3);
35 VERIFY_IS_EQUAL(reversed_tensor.dimension(2), 5);
36 VERIFY_IS_EQUAL(reversed_tensor.dimension(3), 7);
55 VERIFY_IS_EQUAL(reversed_tensor.dimension(0), 2);
56 VERIFY_IS_EQUAL(reversed_tensor.dimension(1), 3);
57 VERIFY_IS_EQUAL(reversed_tensor.dimension(2), 5);
58 VERIFY_IS_EQUAL(reversed_tensor.dimension(3), 7);
78 VERIFY_IS_EQUAL(reversed_tensor.dimension(0), 2);
79 VERIFY_IS_EQUAL(reversed_tensor.dimension(
[all...]
H A Dcxx11_tensor_custom_op.cpp20 result[0] = input.dimension(0) * 2;
21 result[1] = input.dimension(1) * 2;
34 Eigen::DSizes<DenseIndex, 2> extents(output.dimension(0)-1, output.dimension(1)-1);
45 VERIFY_IS_EQUAL(result.dimension(0), 6);
46 VERIFY_IS_EQUAL(result.dimension(1), 10);
64 result[0] = input1.dimension(0);
65 result[1] = input2.dimension(1);
66 result[2] = input2.dimension(2);
77 for (int i = 0; i < output.dimension(
[all...]
H A Dcxx11_tensor_broadcasting.cpp30 VERIFY_IS_EQUAL(no_broadcast.dimension(0), 2);
31 VERIFY_IS_EQUAL(no_broadcast.dimension(1), 3);
32 VERIFY_IS_EQUAL(no_broadcast.dimension(2), 5);
33 VERIFY_IS_EQUAL(no_broadcast.dimension(3), 7);
52 VERIFY_IS_EQUAL(broadcast.dimension(0), 4);
53 VERIFY_IS_EQUAL(broadcast.dimension(1), 9);
54 VERIFY_IS_EQUAL(broadcast.dimension(2), 5);
55 VERIFY_IS_EQUAL(broadcast.dimension(3), 28);
82 VERIFY_IS_EQUAL(broadcast.dimension(0), 16);
83 VERIFY_IS_EQUAL(broadcast.dimension(
[all...]
H A Dcxx11_tensor_ifft.cpp31 VERIFY_IS_EQUAL(tensor_after_fft.dimension(0), sequence_length);
32 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(0), sequence_length);
54 VERIFY_IS_EQUAL(tensor_after_fft.dimension(0), dim0);
55 VERIFY_IS_EQUAL(tensor_after_fft.dimension(1), dim1);
56 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(0), dim0);
57 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(1), dim1);
83 VERIFY_IS_EQUAL(tensor_after_fft.dimension(0), dim0);
84 VERIFY_IS_EQUAL(tensor_after_fft.dimension(1), dim1);
85 VERIFY_IS_EQUAL(tensor_after_fft.dimension(2), dim2);
86 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(
[all...]
H A Dcxx11_tensor_map.cpp52 VERIFY_IS_EQUAL(vec1.dimension(0), 6);
93 VERIFY_IS_EQUAL(mat3.dimension(0), 2);
94 VERIFY_IS_EQUAL(mat3.dimension(1), 3);
98 VERIFY_IS_EQUAL(mat4.dimension(0), 2);
99 VERIFY_IS_EQUAL(mat4.dimension(1), 3);
137 VERIFY_IS_EQUAL(mat3.dimension(0), 2);
138 VERIFY_IS_EQUAL(mat3.dimension(1), 3);
139 VERIFY_IS_EQUAL(mat3.dimension(2), 7);
143 VERIFY_IS_EQUAL(mat4.dimension(0), 2);
144 VERIFY_IS_EQUAL(mat4.dimension(
[all...]
/external/webrtc/webrtc/modules/audio_processing/vad/
H A Dgmm.cc24 int dimension,
26 for (int n = 0; n < dimension; ++n)
32 int dimension) {
34 for (int i = 0; i < dimension; ++i) {
36 for (int j = 0; j < dimension; j++)
45 if (gmm_parameters.dimension > kMaxDimension) {
54 RemoveMean(x, mean_vec, gmm_parameters.dimension, v);
55 double q = ComputeExponent(v, covar_inv, gmm_parameters.dimension) +
58 mean_vec += gmm_parameters.dimension;
59 covar_inv += gmm_parameters.dimension * gmm_parameter
22 RemoveMean(const double* in, const double* mean_vec, int dimension, double* out) argument
30 ComputeExponent(const double* in, const double* covar_inv, int dimension) argument
[all...]
H A Dgmm.h23 // 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.
/external/javaparser/javaparser-core/src/main/java/com/github/javaparser/ast/
H A DArrayCreationLevel.java50 private Expression dimension; field in class:ArrayCreationLevel
58 public ArrayCreationLevel(int dimension) { argument
59 this(null, new IntegerLiteralExpr("" + dimension), new NodeList<>());
62 public ArrayCreationLevel(Expression dimension) { argument
63 this(null, dimension, new NodeList<>());
67 public ArrayCreationLevel(Expression dimension, NodeList<AnnotationExpr> annotations) { argument
68 this(null, dimension, annotations);
75 public ArrayCreationLevel(TokenRange tokenRange, Expression dimension, NodeList<AnnotationExpr> annotations) { argument
77 setDimension(dimension);
95 * Sets the dimension
101 setDimension(final Expression dimension) argument
[all...]
/external/skia/src/core/
H A DSkColorLookUpTable.h28 int gridPoints(int dimension) const {
29 SkASSERT(dimension >= 0 && dimension < inputChannels());
30 return fLimits[dimension];
/external/skqp/src/core/
H A DSkColorLookUpTable.h28 int gridPoints(int dimension) const {
29 SkASSERT(dimension >= 0 && dimension < inputChannels());
30 return fLimits[dimension];
/external/javaparser/javaparser-symbol-solver-testing/src/test/test_sourcecode/javaparser_new_src/javaparser-core/com/github/javaparser/ast/
H A DArrayCreationLevel.java20 private Expression dimension; field in class:ArrayCreationLevel
23 public ArrayCreationLevel(Range range, Expression dimension, List<AnnotationExpr> annotations) { argument
25 setDimension(dimension);
37 public void setDimension(Expression dimension) { argument
38 this.dimension = dimension;
39 setAsParentNodeOf(dimension);
43 return dimension;
/external/apache-commons-math/src/main/java/org/apache/commons/math/util/
H A DMultidimensionalCounter.java49 private final int dimension; field in class:MultidimensionalCounter
51 * Offset for each dimension.
63 * Index of last dimension.
74 private final int[] counter = new int[dimension];
92 for (int i = 0; i < dimension; i++) {
131 return /* Arrays.*/ copyOf(counter, dimension); // Java 1.5 does not support Arrays.copyOf()
135 * Get the current count in the selected dimension.
160 * @param size Counter sizes (number of slots in each dimension).
165 dimension = size.length;
166 this.size = /* Arrays.*/ copyOf(size, dimension); // Jav
[all...]
/external/libjpeg-turbo/java/org/libjpegturbo/turbojpeg/
H A DTJScalingFactor.java63 * Returns the scaled value of <code>dimension</code>. This function
65 * <code>ceil(dimension * scalingFactor)</code>.
67 * @return the scaled value of <code>dimension</code>.
69 public int getScaled(int dimension) { argument
70 return (dimension * num + denom - 1) / denom;
/external/tensorflow/tensorflow/core/util/
H A Dtensor_format.h29 // The mnemonics specify the meaning of each tensor dimension sorted from
41 // as NCHW, except that the size of the Channels dimension is divided by 4,
42 // and a new dimension of size 4 is appended, which packs 4 adjacent channel
51 // The mnemonics specify the meaning of each tensor dimension sorted
66 // of the Input Channels dimension is divided by 4, and a new dimension of
129 // Returns the index of the batch dimension.
142 // Returns the index of the feature dimension. If format is NCHW_VECT_C, returns
143 // the index of the outer feature dimension (i.e. dimension
248 GetTensorDimIndex(TensorFormat format, char dimension) argument
290 GetFilterDimIndex(FilterTensorFormat filter_tensor_format, char dimension) argument
327 GetTensorDimIndex(TensorFormat format, char dimension) argument
334 GetTensorDim(gtl::ArraySlice<T> dimension_attributes, TensorFormat tensor_format, char dimension) argument
342 << ", " << dimension; local
349 GetFilterDim(gtl::ArraySlice<T> dimension_attribute, FilterTensorFormat filter_tensor_format, char dimension) argument
357 << filter_tensor_format << ", " << dimension; local
362 GetTensorDim(const std::vector<T>& attributes, TensorFormat format, char dimension) argument
369 GetTensorDim(const TensorShape& tensor_shape, TensorFormat tensor_format, char dimension) argument
377 GetFilterDim(const TensorShape& tensor_shape, FilterTensorFormat tensor_filter_format, char dimension) argument
386 GetTensorDim(const Tensor& tensor, TensorFormat tensor_format, char dimension) argument
393 GetFilterDim(const Tensor& tensor, FilterTensorFormat filter_tensor_format, char dimension) argument
[all...]
/external/tensorflow/tensorflow/core/kernels/
H A Dconv_2d.h102 kernel, output_backward, input_backward.dimension(2),
103 input_backward.dimension(1), col_stride, row_stride, col_dilation,
118 input, output_backward, kernel_backward.dimension(1),
119 kernel_backward.dimension(0), col_stride, row_stride, col_dilation,
152 merged_dims[0] = in.dimension(0); // spatial dimensions
154 merged_dims[0] *= in.dimension(i);
156 merged_dims[1] = in.dimension(NDIMS - 2); // input filters
157 merged_dims[2] = in.dimension(NDIMS - 1); // output filters
160 expanded_dims[0] = in.dimension(NDIMS - 1); // output filters
161 expanded_dims[1] = in.dimension(NDIM
[all...]

Completed in 558 milliseconds

1234567891011>>