| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| TensorMap.h | 60 EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr) : m_data(dataPtr), m_dimensions() {
67 EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr, Index firstDimension, IndexTypes... otherDimensions) : m_data(dataPtr), m_dimensions(firstDimension, otherDimensions...) {
73 EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr, Index firstDimension) : m_data(dataPtr), m_dimensions(firstDimension) {
78 EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr, Index dim1, Index dim2) : m_data(dataPtr), m_dimensions(dim1, dim2) {
82 EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr, Index dim1, Index dim2, Index dim3) : m_data(dataPtr), m_dimensions(dim1, dim2, dim3) {
86 EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr, Index dim1, Index dim2, Index dim3, Index dim4) : m_data(dataPtr), m_dimensions(dim1, dim2, dim3, dim4) {
90 EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr, Index dim1, Index dim2, Index dim3, Index dim4, Index dim5) : m_data(dataPtr), m_dimensions(dim1, dim2, dim3, dim4, dim5) {
96 : m_data(dataPtr), m_dimensions(dimensions)
101 : m_data(dataPtr), m_dimensions(dimensions)
105 : m_data(tensor.data()), m_dimensions(tensor.dimensions()
316 Dimensions m_dimensions; member in class:Eigen::TensorMap
[all...] |
| TensorStorage.h | 48 FixedDimensions m_dimensions; member in class:Eigen::TensorStorage
61 EIGEN_STRONG_INLINE const FixedDimensions& dimensions() const { return m_dimensions; }
64 EIGEN_STRONG_INLINE DenseIndex size() const { return m_dimensions.TotalSize(); }
77 EIGEN_DEVICE_FUNC TensorStorage() : m_data(0), m_dimensions() {
83 : m_data(0), m_dimensions(internal::template repeat<NumIndices_, Index>(0)) {}
85 : m_data(internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(size)), m_dimensions(dimensions)
90 EIGEN_DEVICE_FUNC TensorStorage(DenseIndex... indices) : m_dimensions(indices...) {
91 m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(internal::array_prod(m_dimensions));
96 : m_data(internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(internal::array_prod(other.m_dimensions)))
97 , m_dimensions(other.m_dimensions
141 Dimensions m_dimensions; member in class:Eigen::TensorStorage
[all...] |
| TensorImagePatch.h | 257 m_dimensions[0] = input_dims[0];
258 m_dimensions[1] = op.patch_rows();
259 m_dimensions[2] = op.patch_cols();
260 m_dimensions[3] = m_outputRows * m_outputCols;
262 m_dimensions[i] = input_dims[i-1];
271 m_dimensions[NumDims-1] = input_dims[NumInputDims-1];
272 m_dimensions[NumDims-2] = op.patch_rows();
273 m_dimensions[NumDims-3] = op.patch_cols();
274 m_dimensions[NumDims-4] = m_outputRows * m_outputCols;
276 m_dimensions[i] = input_dims[i]
459 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
[all...] |
| TensorReverse.h | 128 m_dimensions = m_impl.dimensions();
132 m_strides[i] = m_strides[i-1] * m_dimensions[i-1];
137 m_strides[i] = m_strides[i+1] * m_dimensions[i+1];
143 const Dimensions& dimensions() const { return m_dimensions; }
162 idx = m_dimensions[i] - idx - 1;
167 inputIndex += (m_dimensions[0] - index - 1);
176 idx = m_dimensions[i] - idx - 1;
181 inputIndex += (m_dimensions[NumDims-1] - index - 1);
228 Dimensions m_dimensions; member in namespace:Eigen
264 const Dimensions& dimensions() const { return this->m_dimensions; }
[all...] |
| TensorVolumePatch.h | 276 m_dimensions[0] = input_dims[0];
277 m_dimensions[1] = op.patch_planes();
278 m_dimensions[2] = op.patch_rows();
279 m_dimensions[3] = op.patch_cols();
280 m_dimensions[4] = m_outputPlanes * m_outputRows * m_outputCols;
282 m_dimensions[i] = input_dims[i-1];
292 m_dimensions[NumDims-1] = input_dims[NumInputDims-1];
293 m_dimensions[NumDims-2] = op.patch_planes();
294 m_dimensions[NumDims-3] = op.patch_rows();
295 m_dimensions[NumDims-4] = op.patch_cols()
536 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
[all...] |
| TensorInflation.h | 101 m_dimensions = m_impl.dimensions();
104 m_dimensions[i] = (m_dimensions[i] - 1) * op.strides()[i] + 1;
117 m_outputStrides[i] = m_outputStrides[i-1] * m_dimensions[i-1];
124 m_outputStrides[i] = m_outputStrides[i+1] * m_dimensions[i+1];
130 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
208 const double output_size = m_dimensions.TotalSize();
219 Dimensions m_dimensions; member in namespace:Eigen
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| TensorSyclExtractFunctors.h | 38 const Dimensions m_dimensions; member in struct:Eigen::TensorSycl::internal::FunctorExtractor
39 const Dimensions& dimensions() const { return m_dimensions; }
41 : m_dimensions(expr.dimensions()) {}
158 const Dimensions m_dimensions; member in struct:Eigen::TensorSycl::internal::FunctorExtractor
159 const Dimensions& dimensions() const { return m_dimensions; }
161 : m_dimensions(DimConstr<Dimensions, Evaluator::NumOutputDims>::getDim(expr.dimensions())) {}
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| TensorPadding.h | 112 m_dimensions = m_impl.dimensions();
114 m_dimensions[i] += m_padding[i].first + m_padding[i].second;
122 m_outputStrides[i] = m_outputStrides[i-1] * m_dimensions[i-1];
124 m_outputStrides[NumDims] = m_outputStrides[NumDims-1] * m_dimensions[NumDims-1];
130 m_outputStrides[i+1] = m_outputStrides[i+2] * m_dimensions[i+1];
132 m_outputStrides[0] = m_outputStrides[1] * m_dimensions[0];
136 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
210 index >= m_dimensions[dim_index] - m_padding[dim_index].second);
213 (index >= m_dimensions[dim_index] - m_padding[dim_index].second);
269 const Index firstPaddedRight = (m_dimensions[i] - m_padding[i].second) * m_outputStrides[i]
383 Dimensions m_dimensions; member in namespace:Eigen
[all...] |
| TensorGenerator.h | 103 m_dimensions = impl.dimensions();
108 m_strides[i] = m_strides[i - 1] * m_dimensions[i - 1];
113 m_strides[i] = m_strides[i + 1] * m_dimensions[i + 1];
118 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
178 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
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| TensorCustomOp.h | 103 m_dimensions = op.func().dimensions(op.expression());
106 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
146 data, m_dimensions);
150 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
259 m_dimensions = op.func().dimensions(op.lhsExpression(), op.rhsExpression());
262 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
300 TensorMap<Tensor<Scalar, NumDims, Layout> > result(data, m_dimensions);
304 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
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| TensorPatch.h | 109 m_dimensions[i] = patch_dims[i];
112 m_dimensions[NumDims-1] = num_patches;
122 m_outputStrides[i] = m_outputStrides[i-1] * m_dimensions[i-1];
126 m_dimensions[i+1] = patch_dims[i];
129 m_dimensions[0] = num_patches;
139 m_outputStrides[i] = m_outputStrides[i+1] * m_dimensions[i+1];
144 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
259 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
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| TensorStriding.h | 122 m_dimensions = m_impl.dimensions();
124 m_dimensions[i] = ceilf(static_cast<float>(m_dimensions[i]) / op.strides()[i]);
132 m_outputStrides[i] = m_outputStrides[i-1] * m_dimensions[i-1];
141 m_outputStrides[i] = m_outputStrides[i+1] * m_dimensions[i+1];
149 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
249 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
|
| TensorShuffling.h | 125 m_dimensions[i] = input_dims[shuffle[i]];
135 m_outputStrides[i] = m_outputStrides[i - 1] * m_dimensions[i - 1];
142 m_outputStrides[i] = m_outputStrides[i + 1] * m_dimensions[i + 1];
151 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
210 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
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| TensorMorphing.h | 113 : m_impl(op.expression(), device), m_dimensions(op.dimensions())
125 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
155 NewDimensions m_dimensions; member in struct:Eigen::TensorEvaluator
322 : m_impl(op.expression(), device), m_device(device), m_dimensions(op.sizes()), m_offsets(op.startIndices())
363 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
467 if (m_dimensions[i] != m_impl.dimensions()[i]) {
470 if (m_dimensions[j] > 1) {
480 if (m_dimensions[i] != m_impl.dimensions()[i]) {
483 if (m_dimensions[j] > 1) {
524 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
844 DSizes<Index, NumDims> m_dimensions; member in struct:Eigen::TensorEvaluator
[all...] |
| TensorLayoutSwap.h | 130 m_dimensions[i] = m_impl.dimensions()[NumDims-1-i];
138 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
168 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
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| TensorBroadcasting.h | 126 m_dimensions[i] = input_dims[i] * broadcast[i];
134 m_outputStrides[i] = m_outputStrides[i-1] * m_dimensions[i-1];
141 m_outputStrides[i] = m_outputStrides[i+1] * m_dimensions[i+1];
146 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
383 Dimensions m_dimensions;
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| TensorConcatenation.h | 142 m_dimensions[i] = lhs_dims[i];
146 m_dimensions[i] = lhs_dims[i] + rhs_dims[i];
150 m_dimensions[i] = lhs_dims[i];
162 m_outputStrides[j] = m_outputStrides[j-1] * m_dimensions[j-1];
172 m_outputStrides[j] = m_outputStrides[j+1] * m_dimensions[j+1];
177 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
281 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
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| TensorFFT.h | 147 m_dimensions[i] = input_dims[i];
153 m_strides[i] = m_strides[i - 1] * m_dimensions[i - 1];
158 m_strides[i] = m_strides[i + 1] * m_dimensions[i + 1];
161 m_size = m_dimensions.TotalSize();
165 return m_dimensions;
218 Index line_len = m_dimensions[dim];
538 const Index partial_m_stride = m_strides[i] / m_dimensions[omitted_dim];
547 const Index partial_m_stride = m_strides[i] / m_dimensions[omitted_dim];
566 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
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| TensorReduction.h | 429 internal::DimInitializer<Dimensions>::run(input_dims, m_reduced, &m_dimensions, &m_reducedDims);
436 m_outputStrides[i] = m_outputStrides[i - 1] * m_dimensions[i - 1];
441 m_outputStrides[i] = m_outputStrides[i + 1] * m_dimensions[i + 1];
480 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
502 const Index num_coeffs_to_preserve = internal::array_prod(m_dimensions);
525 const Index num_coeffs_to_preserve = internal::array_prod(m_dimensions);
558 const Index num_coeffs_to_preserve = internal::array_prod(m_dimensions);
634 if (((firstIndex % m_dimensions[innermost_dim]) + PacketSize - 1) < m_dimensions[innermost_dim]) {
741 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
[all...] |
| TensorConvolution.h | 333 m_dimensions = m_inputImpl.dimensions();
340 m_dimensions[index] = result_dim;
351 m_outputStride[i] = m_outputStride[i - 1] * m_dimensions[i - 1];
359 m_dimensions[index] = result_dim;
370 m_outputStride[i] = m_outputStride[i + 1] * m_dimensions[i + 1];
375 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
542 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
780 m_dimensions = m_inputImpl.dimensions();
786 m_dimensions[index] = result_dim;
795 EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_dimensions; }
[all...] |
| TensorContraction.h | 249 m_dimensions[dim_idx] = eval_left_dims[i];
276 m_dimensions[dim_idx] = eval_right_dims[i];
320 // If the layout is RowMajor, we need to reverse the m_dimensions
323 numext::swap(m_dimensions[i], m_dimensions[j]);
328 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
544 Dimensions m_dimensions; member in struct:Eigen::TensorContractionEvaluatorBase
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| TensorChipping.h | 164 m_dimensions[j] = input_dims[i];
186 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
300 Dimensions m_dimensions; member in struct:Eigen::TensorEvaluator
|
| /external/tensorflow/tensorflow/core/kernels/ |
| eigen_volume_patch.h | 165 m_dimensions[0] = input_dims[0];
166 m_dimensions[1] = op.patch_planes();
167 m_dimensions[2] = op.patch_rows();
168 m_dimensions[3] = op.patch_cols();
169 m_dimensions[4] = m_outputPlanes * m_outputRows * m_outputCols;
171 m_dimensions[i] = input_dims[i - 1];
181 m_dimensions[NumDims - 1] = input_dims[NumInputDims - 1];
182 m_dimensions[NumDims - 2] = op.patch_planes();
183 m_dimensions[NumDims - 3] = op.patch_rows();
184 m_dimensions[NumDims - 4] = op.patch_cols()
565 Dimensions m_dimensions; member in struct:Eigen::CustomTensorEvaluator
[all...] |
| /external/deqp/external/vulkancts/modules/vulkan/texture/ |
| vktTextureFilteringExplicitLodTests.cpp | 1125 , m_dimensions (dimensions)
1168 const deUint8 numLevels = (deUint8) (1 + deLog2Floor32(de::max(m_dimensions[0],
1169 m_dimensions[1])));
1175 m_dimensions,
1195 const IVec3 m_dimensions; member in class:vkt::texture::__anon17994::Texture2DGradientTestCase
1216 m_testCase->m_dimensions[0],
1217 m_testCase->m_dimensions[1]));
1219 const deUint8 numLevels = (deUint8) (1 + deLog2Floor32(de::max(m_testCase->m_dimensions[0],
1220 m_testCase->m_dimensions[1])));
[all...] |
