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/external/eigen/unsupported/test/
Dcxx11_tensor_device.cu1 // This file is part of Eigen, a lightweight C++ template library
20 #include <unsupported/Eigen/CXX11/Tensor>
22 using Eigen::Tensor;
23 using Eigen::RowMajor;
27 …CPUContext(const Eigen::Tensor<float, 3>& in1, Eigen::Tensor<float, 3>& in2, Eigen::Tensor<float, … in CPUContext()
40 kernel_3d_(1,0,0) = -1.0f; in CPUContext()
41 kernel_3d_(1,1,0) = -0.3f; in CPUContext()
42 kernel_3d_(1,0,1) = -0.7f; in CPUContext()
43 kernel_3d_(1,1,1) = -0.5f; in CPUContext()
46 const Eigen::DefaultDevice& device() const { return cpu_device_; } in device()
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Dcxx11_tensor_cuda.cu1 // This file is part of Eigen, a lightweight C++ template library
19 #include <unsupported/Eigen/CXX11/Tensor>
21 using Eigen::Tensor;
38 Eigen::CudaStreamDevice stream; in test_cuda_nullary()
39 Eigen::GpuDevice gpu_device(&stream); in test_cuda_nullary()
41 Eigen::TensorMap<Eigen::Tensor<float, 1, 0, int>, Eigen::Aligned> gpu_in1( in test_cuda_nullary()
43 Eigen::TensorMap<Eigen::Tensor<float, 1, 0, int>, Eigen::Aligned> gpu_in2( in test_cuda_nullary()
69 Tensor<float, 1> in1(Eigen::array<Eigen::DenseIndex, 1>(2)); in test_cuda_elementwise_small()
70 Tensor<float, 1> in2(Eigen::array<Eigen::DenseIndex, 1>(2)); in test_cuda_elementwise_small()
71 Tensor<float, 1> out(Eigen::array<Eigen::DenseIndex, 1>(2)); in test_cuda_elementwise_small()
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Dcxx11_tensor_fft.cpp1 // This file is part of Eigen, a lightweight C++ template library
11 #include <Eigen/CXX11/Tensor>
13 using Eigen::Tensor;
17 Tensor<float, 2, DataLayout> input(2, 3); in test_fft_2D_golden()
20 input(0, 2) = 3; in test_fft_2D_golden()
29 …Tensor<std::complex<float>, 2, DataLayout> output = input.template fft<Eigen::BothParts, Eigen::FF… in test_fft_2D_golden()
33 output_golden[1] = std::complex<float>(-9, 0); in test_fft_2D_golden()
34 output_golden[2] = std::complex<float>(-3, 1.73205); in test_fft_2D_golden()
35 output_golden[3] = std::complex<float>( 0, 0); in test_fft_2D_golden()
36 output_golden[4] = std::complex<float>(-3, -1.73205); in test_fft_2D_golden()
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Dcxx11_tensor_argmax_cuda.cu1 // This file is part of Eigen, a lightweight C++ template library
19 #include <unsupported/Eigen/CXX11/Tensor>
21 using Eigen::Tensor;
26 Tensor<double, 3, Layout> in(Eigen::array<DenseIndex, 3>(72,53,97)); in test_cuda_simple_argmax()
27 Tensor<DenseIndex, 1, Layout> out_max(Eigen::array<DenseIndex, 1>(1)); in test_cuda_simple_argmax()
28 Tensor<DenseIndex, 1, Layout> out_min(Eigen::array<DenseIndex, 1>(1)); in test_cuda_simple_argmax()
31 in(0, 0, 0) = -1000.0; in test_cuda_simple_argmax()
46 Eigen::CudaStreamDevice stream; in test_cuda_simple_argmax()
47 Eigen::GpuDevice gpu_device(&stream); in test_cuda_simple_argmax()
49 …Eigen::TensorMap<Eigen::Tensor<double, 3, Layout>, Aligned > gpu_in(d_in, Eigen::array<DenseIndex,… in test_cuda_simple_argmax()
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Dcxx11_tensor_morphing.cpp1 // This file is part of Eigen, a lightweight C++ template library
12 #include <Eigen/CXX11/Tensor>
14 using Eigen::Tensor;
19 Tensor<float, 5> tensor1(2,3,1,7,1); in test_simple_reshape()
22 Tensor<float, 3> tensor2(2,3,7); in test_simple_reshape()
26 Tensor<float, 3>::Dimensions dim1(2,3,7); in test_simple_reshape()
34 for (int j = 0; j < 3; ++j) { in test_simple_reshape()
38 VERIFY_IS_EQUAL(tensor1(i,j,0,k,0), tensor4(i,j+3*k)); in test_simple_reshape()
46 MatrixXf m1(2,3*5*7*11); in test_reshape_in_expr()
47 MatrixXf m2(3*5*7*11,13); in test_reshape_in_expr()
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Dcxx11_tensor_scan_cuda.cu1 // This file is part of Eigen, a lightweight C++ template library
20 #include <unsupported/Eigen/CXX11/Tensor>
22 using Eigen::Tensor;
29 Tensor<float, 3, DataLayout> t_input(m_size, k_size, n_size); in test_cuda_cumsum()
30 Tensor<float, 3, DataLayout> t_result(m_size, k_size, n_size); in test_cuda_cumsum()
31 Tensor<float, 3, DataLayout> t_result_gpu(m_size, k_size, n_size); in test_cuda_cumsum()
46 Eigen::CudaStreamDevice stream; in test_cuda_cumsum()
47 Eigen::GpuDevice gpu_device(&stream); in test_cuda_cumsum()
49 Eigen::TensorMap<Eigen::Tensor<float, 3, DataLayout> > in test_cuda_cumsum()
50 gpu_t_input(d_t_input, Eigen::array<int, 3>(m_size, k_size, n_size)); in test_cuda_cumsum()
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Dcxx11_tensor_thread_pool.cpp1 // This file is part of Eigen, a lightweight C++ template library
15 #include <Eigen/CXX11/Tensor>
17 using Eigen::Tensor;
22 Tensor<float, 3> in1(2,3,7); in test_multithread_elementwise()
23 Tensor<float, 3> in2(2,3,7); in test_multithread_elementwise()
24 Tensor<float, 3> out(2,3,7); in test_multithread_elementwise()
29 Eigen::ThreadPool tp(internal::random<int>(3, 11)); in test_multithread_elementwise()
30 Eigen::ThreadPoolDevice thread_pool_device(&tp, internal::random<int>(3, 11)); in test_multithread_elementwise()
34 for (int j = 0; j < 3; ++j) { in test_multithread_elementwise()
45 Tensor<float, 3> in1(2,3,7); in test_multithread_compound_assignment()
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/external/tensorflow/tensorflow/core/kernels/
Dconv_2d.h7 http://www.apache.org/licenses/LICENSE-2.0
19 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
33 const Eigen::PaddingType& padding,
38 // padding_bottom/padding_right when calling Eigen. Eigen expects the tensor
40 output.device(d) = Eigen::SpatialConvolution(
47 typename OutputKernel = const Eigen::NoOpOutputKernel>
53 const Eigen::PaddingType& padding, in operator()
67 col_dilation, Eigen::PaddingType::PADDING_VALID, output_kernel, in operator()
73 struct SpatialConvolution<Device, Eigen::half, OutputKernel> {
75 typename TTypes<Eigen::half, 4>::Tensor output,
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Deigen_pooling.h7 http://www.apache.org/licenses/LICENSE-2.0
19 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
22 namespace Eigen {
27 * \brief Applies a max-pooling over a multichannel input image.
30 * width, others in col-major, and the reverse of that in row-major).
34 * others (in col-major, and the reverse of that if the input was row-major).
42 const Eigen::DSizes<typename internal::traits<Input>::Index,
47 const Eigen::array<int, 2>,
52 const Eigen::DSizes<typename internal::traits<Input>::Index,
59 const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<2> >,
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Dpooling_ops_3d.cc7 http://www.apache.org/licenses/LICENSE-2.0
21 #include "third_party/eigen3/Eigen/Core"
22 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
45 typedef Eigen::ThreadPoolDevice CPUDevice;
46 typedef Eigen::GpuDevice GPUDevice;
55 errors::InvalidArgument("tensor_in must be 4-dimensional")); in Pool3dParameters()
57 this->data_format = data_format; in Pool3dParameters()
72 // We only support 3D pooling across plane/width/height. Depthwise in Pool3dParameters()
98 const std::array<int64, 3>& window, in launch()
99 const std::array<int64, 3>& stride, in launch()
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Dscan_ops.h7 http://www.apache.org/licenses/LICENSE-2.0
19 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
25 typedef Eigen::Index Index;
30 void operator()(const Device& d, typename TTypes<T, 3>::ConstTensor in, in operator()
31 typename TTypes<T, 3>::Tensor out, const Reducer& reducer, in operator()
33 // Perform the reverse ops directly with Eigen, which avoids copying the in operator()
35 Eigen::array<bool, 3> dims; in operator()
48 auto mi = Eigen::internal::scalar_min_op<T>()(a, b); in operator()
49 auto ma = Eigen::internal::scalar_max_op<T>()(a, b); in operator()
51 auto sub = Eigen::internal::scalar_difference_op<T>(); in operator()
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/external/tensorflow/tensorflow/core/kernels/image/
Dadjust_contrast_op.h7 http://www.apache.org/licenses/LICENSE-2.0
18 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
36 const int channels = input.dimension(3); in operator()
38 Eigen::array<int, 4> scalar_broadcast; in operator()
42 scalar_broadcast[3] = channels; in operator()
44 Eigen::array<int, 2> reduction_axis; in operator()
47 Eigen::array<int, 4> broadcast_dims; in operator()
51 broadcast_dims[3] = 1; in operator()
52 Eigen::Tensor<int, 4>::Dimensions reshape_dims; in operator()
56 reshape_dims[3] = channels; in operator()
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/external/eigen/doc/
DA05_PortingFrom2To3.dox1 namespace Eigen {
12 …Eigen provides <a href="http://eigen.tuxfamily.org/dox-3.2/Eigen2SupportModes.html">Eigen2 support…
13 …till use them by first <a href="http://eigen.tuxfamily.org/dox-3.2/Eigen2ToEigen3.html">porting yo…
17 The USING_PART_OF_NAMESPACE_EIGEN macro has been removed. In Eigen 3, just do:
19 using namespace Eigen;
24 This is the single trickiest change between Eigen 2 and Eigen 3. It only affects code using \c std:…
26 Eigen 2's dot product was linear in the first variable. Eigen 3's dot product is linear in the seco…
31 <tr><th>Eigen 2</th><th>Eigen 3</th></th>
49 <tr><th>Eigen 2</th><th>Eigen 3</th></th>
93 c = a.array().abs().pow(3) * b.array().abs().sin();
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DQuickStartGuide.dox1 namespace Eigen {
7 …ort guide on how to get started with Eigen. It has a dual purpose. It serves as a minimal introduc…
9 \section GettingStartedInstallation How to "install" Eigen?
11 …Eigen, you just need to download and extract Eigen's source code (see <a href="http://eigen.tuxfam…
25 …e to find the Eigen header files. The directory in which you placed Eigen's source code must be in…
27 \code g++ -I /path/to/eigen/ my_program.cpp -o my_program \endcode
29 On Linux or Mac OS X, another option is to symlink or copy the Eigen folder into /usr/local/include…
31 \code g++ my_program.cpp -o my_program \endcode
40 The Eigen header files define many types, but for simple applications it may be enough to use only …
42 …Eigen/Dense header file defines all member functions for the MatrixXd type and related types (see …
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/external/tensorflow/tensorflow/python/tools/
Daot_compiled_test.cc7 http://www.apache.org/licenses/LICENSE-2.0
18 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
36 ASSERT_NEAR(model.result_fetch_output_0(), 7.0f, /*abs_error=*/1e-6f); in TEST()
46 Eigen::Tensor<float, 2, Eigen::RowMajor> arg_feed_x(3000, 5000); in TEST()
47 Eigen::Tensor<float, 2, Eigen::RowMajor> arg_feed_y(5000, 4000); in TEST()
52 const Eigen::array<Eigen::IndexPair<int>, 1> product_dims = { in TEST()
53 Eigen::IndexPair<int>(1, 0)}; in TEST()
55 const Eigen::Tensor<float, 2, Eigen::RowMajor> expected_output0 = in TEST()
62 /*abs_error=*/1e-6f); in TEST()
65 /*abs_error=*/1e-6f); in TEST()
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/
Druntime_fft_impl.h7 http://www.apache.org/licenses/LICENSE-2.0
20 #include "third_party/eigen3/Eigen/Core"
21 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
34 IRFFT = 3, // Inverse real FFT; fft_length / 2 + 1 complex in,
41 // Computes either a forward or reverse complex-to-complex FFT.
47 const auto axes = Eigen::ArrayXi::LinSpaced(FFTRank, 1, FFTRank); in EigenFftC2C()
48 constexpr auto direction = Forward ? Eigen::FFT_FORWARD : Eigen::FFT_REVERSE; in EigenFftC2C()
50 const std::array<int64, 3> fft_shape = { in EigenFftC2C()
53 Eigen::DSizes<Eigen::DenseIndex, FFTRank + 1> dims; in EigenFftC2C()
58 const Eigen::TensorMap<Eigen::Tensor<Complex, FFTRank + 1, Eigen::RowMajor>, in EigenFftC2C()
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/external/tensorflow/tensorflow/core/util/ctc/
Dctc_beam_search_test.cc7 http://www.apache.org/licenses/LICENSE-2.0
43 // The dictionary itself is hard-coded a static const variable of the class.
50 dictionary_({{3}, {3, 1}}) {} in DictionaryBeamScorer()
52 void InitializeState(BeamState* root) const override { root->score = 0; } in InitializeState()
58 to_state->labels.push_back(to_label); in ExpandState()
87 const std::vector<int>& candidate = state->labels; in SetStateScoreAccordingToDict()
96 state->score = std::log(T(1.0)); in SetStateScoreAccordingToDict()
101 state->score = std::log(T(0.01)); in SetStateScoreAccordingToDict()
108 const int top_paths = 3; in ctc_beam_search_decoding_with_and_without_dictionary()
117 // Dictionary decoder, allowing only two dictionary words : {3}, {3, 1}. in ctc_beam_search_decoding_with_and_without_dictionary()
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/external/eigen/debug/msvc/
Deigen.natvis1 <?xml version="1.0" encoding="utf-8"?>
5 <!-- Fixed x Fixed Matrix -->
6 <Type Name="Eigen::Matrix&lt;*,*,*,*,*,*&gt;">
7 <AlternativeType Name="Eigen::Array&lt;*,-1,-1,*,*,*&gt;"/>
10 <ArrayItems Condition="Flags%2"> <!-- row major layout -->
15 <ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
24 <!-- 2 x 2 Matrix -->
25 <Type Name="Eigen::Matrix&lt;*,2,2,*,*,*&gt;">
26 <AlternativeType Name="Eigen::Array&lt;*,2,2,*,*,*&gt;"/>
36 <DisplayString>({m_storage.m_data.array[2]}, {m_storage.m_data.array[3]})</DisplayString>
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Deigen_autoexp_part.dat2 ; * Eigen Visualizer
6 ; * Support the enhanced debugging of the following Eigen
9 ; * - Eigen::Matrix<*,4,1,*,*,*> and Eigen::Matrix<*,1,4,*,*,*>
10 ; * - Eigen::Matrix<*,3,1,*,*,*> and Eigen::Matrix<*,1,3,*,*,*>
11 ; * - Eigen::Matrix<*,2,1,*,*,*> and Eigen::Matrix<*,1,2,*,*,*>
12 ; * - Eigen::Matrix<*,-1,-1,*,*,*>
13 ; * - Eigen::Matrix<*,+,-1,*,*,*>
14 ; * - Eigen::Matrix<*,-1,+,*,*,*>
15 ; * - Eigen::Matrix<*,+,+,*,*,*>
27 ; Fixed size 4-vectors
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/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DREADME.md1 # Eigen Tensors
11 the namespace ```::Eigen.```
30 // Create a tensor of rank 3 of sizes 2, 3, 4. This tensor owns
31 // memory to hold 24 floating point values (24 = 2 x 3 x 4).
32 Tensor<float, 3> t_3d(2, 3, 4);
35 t_3d = Tensor<float, 3>(3, 4, 3);
41 ```Eigen::array<Eigen::Index>```. The array can be constructed automatically
57 // Create a 4 x 3 tensor of floats.
58 TensorFixedSize<float, Sizes<4, 3>> t_4x3;
76 // Map a tensor of ints on top of stack-allocated storage.
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/external/eigen/Eigen/src/Core/arch/CUDA/
DPacketMathHalf.h1 // This file is part of Eigen, a lightweight C++ template library
14 namespace Eigen {
22 template<> struct packet_traits<Eigen::half> : default_packet_traits
42 template<> struct unpacket_traits<half2> { typedef Eigen::half type; enum {size=2, alignment=Aligne…
44 template<> __device__ EIGEN_STRONG_INLINE half2 pset1<half2>(const Eigen::half& from) {
48 template<> __device__ EIGEN_STRONG_INLINE half2 pload<half2>(const Eigen::half* from) {
52 template<> __device__ EIGEN_STRONG_INLINE half2 ploadu<half2>(const Eigen::half* from) {
56 template<> EIGEN_STRONG_INLINE half2 ploaddup<half2>(const Eigen::half* from) {
60 template<> __device__ EIGEN_STRONG_INLINE void pstore<Eigen::half>(Eigen::half* to, const half2& fr…
64 template<> __device__ EIGEN_STRONG_INLINE void pstoreu<Eigen::half>(Eigen::half* to, const half2& f…
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/external/eigen/test/
Dnomalloc.cpp1 // This file is part of Eigen, a lightweight C++ template library
5 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
17 #include <Eigen/Cholesky>
18 #include <Eigen/Eigenvalues>
19 #include <Eigen/LU>
20 #include <Eigen/QR>
21 #include <Eigen/SVD>
25 /* this test check no dynamic memory allocation are issued with fixed-size matrices in nomalloc()
39 Index r = internal::random<Index>(0, rows-1), in nomalloc()
40 c = internal::random<Index>(0, cols-1); in nomalloc()
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/external/tensorflow/tensorflow/core/kernels/boosted_trees/
Dtree_helper_test.cc7 // http://www.apache.org/licenses/LICENSE-2.0
17 #include "third_party/eigen3/Eigen/Core"
26 const double kDelta = 1e-5;
30 Eigen::VectorXf g(kNumClasses); in TEST()
31 g << 0.5, 0.33, -9, 1; in TEST()
32 Eigen::VectorXf h(kNumClasses * kNumClasses); in TEST()
33 h << 3, 5, 7, 8, 5, 4, 1, 5, 7, 1, 8, 4, 8, 5, 4, 9; in TEST()
36 Eigen::VectorXf weight(kNumClasses); in TEST()
40 -1.5820024}; in TEST()
49 Eigen::VectorXf g(kNumClasses); in TEST()
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/external/python/pybind11/tests/
Dtest_eigen.cpp2 tests/eigen.cpp -- automatic conversion of Eigen types
7 BSD-style license that can be found in the LICENSE file.
12 #include <pybind11/eigen.h>
19 #include <Eigen/Cholesky>
21 using MatrixXdR = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>;
26 // (1-based) row/column number.
32 // Returns a static, column-major matrix
33 Eigen::MatrixXd &get_cm() { in get_cm()
34 static Eigen::MatrixXd *x; in get_cm()
36 x = new Eigen::MatrixXd(3, 3); in get_cm()
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/external/tensorflow/tensorflow/core/framework/
Dtensor_testutil_test.cc7 http://www.apache.org/licenses/LICENSE-2.0
29 EXPECT_TRUE(IsClose(Eigen::NumTraits<T>::infinity(), in TestEdgeCasesNear()
30 Eigen::NumTraits<T>::infinity(), 0.0, 0.0)); in TestEdgeCasesNear()
31 EXPECT_TRUE(IsClose(Eigen::NumTraits<T>::lowest(), in TestEdgeCasesNear()
32 Eigen::NumTraits<T>::highest(), in TestEdgeCasesNear()
33 Eigen::NumTraits<double>::infinity(), 0.0)); in TestEdgeCasesNear()
35 IsClose(Eigen::NumTraits<T>::lowest(), Eigen::NumTraits<T>::highest(), in TestEdgeCasesNear()
36 static_cast<double>(Eigen::NumTraits<T>::highest()), 0.0)); in TestEdgeCasesNear()
37 EXPECT_FALSE(IsClose(Eigen::NumTraits<T>::quiet_NaN(), T(0.0), 0.0, 0.0)); in TestEdgeCasesNear()
38 EXPECT_TRUE(IsClose(Eigen::NumTraits<T>::quiet_NaN(), in TestEdgeCasesNear()
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