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Merge pull request #267 from bennorth/non-contiguous-arrays
Non-contiguous arrays
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c2f6841c22
@ -10,6 +10,19 @@
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#include "example.h"
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#include <pybind11/eigen.h>
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Eigen::VectorXf double_col(const Eigen::VectorXf& x)
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{ return 2.0f * x; }
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Eigen::RowVectorXf double_row(const Eigen::RowVectorXf& x)
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{ return 2.0f * x; }
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Eigen::MatrixXf double_mat_cm(const Eigen::MatrixXf& x)
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{ return 2.0f * x; }
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typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> MatrixXfRowMajor;
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MatrixXfRowMajor double_mat_rm(const MatrixXfRowMajor& x)
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{ return 2.0f * x; }
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void init_eigen(py::module &m) {
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typedef Eigen::Matrix<float, 5, 6, Eigen::RowMajor> FixedMatrixR;
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typedef Eigen::Matrix<float, 5, 6> FixedMatrixC;
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@ -23,6 +36,11 @@ void init_eigen(py::module &m) {
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mat << 0, 3, 0, 0, 0, 11, 22, 0, 0, 0, 17, 11, 7, 5, 0, 1, 0, 11, 0,
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0, 0, 0, 0, 11, 0, 0, 14, 0, 8, 11;
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m.def("double_col", &double_col);
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m.def("double_row", &double_row);
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m.def("double_mat_cm", &double_mat_cm);
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m.def("double_mat_rm", &double_mat_rm);
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m.def("fixed_r", [mat]() -> FixedMatrixR {
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return FixedMatrixR(mat);
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});
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@ -9,6 +9,8 @@ from example import dense_r, dense_c
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from example import dense_passthrough_r, dense_passthrough_c
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from example import sparse_r, sparse_c
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from example import sparse_passthrough_r, sparse_passthrough_c
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from example import double_row, double_col
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from example import double_mat_cm, double_mat_rm
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import numpy as np
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ref = np.array(
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@ -42,3 +44,22 @@ print("pt_r(sparse_r) = %s" % check(sparse_passthrough_r(sparse_r())))
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print("pt_c(sparse_c) = %s" % check(sparse_passthrough_c(sparse_c())))
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print("pt_r(sparse_c) = %s" % check(sparse_passthrough_r(sparse_c())))
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print("pt_c(sparse_r) = %s" % check(sparse_passthrough_c(sparse_r())))
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def check_got_vs_ref(got_x, ref_x):
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return 'OK' if np.array_equal(got_x, ref_x) else 'NOT OK'
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counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
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first_row = counting_mat[0, :]
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first_col = counting_mat[:, 0]
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print("double_row(first_row) = %s" % check_got_vs_ref(double_row(first_row), 2.0 * first_row))
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print("double_col(first_row) = %s" % check_got_vs_ref(double_col(first_row), 2.0 * first_row))
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print("double_row(first_col) = %s" % check_got_vs_ref(double_row(first_col), 2.0 * first_col))
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print("double_col(first_col) = %s" % check_got_vs_ref(double_col(first_col), 2.0 * first_col))
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counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3))
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slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]]
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for slice_idx, ref_mat in enumerate(slices):
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print("double_mat_cm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_cm(ref_mat), 2.0 * ref_mat)))
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print("double_mat_rm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_rm(ref_mat), 2.0 * ref_mat)))
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@ -16,3 +16,13 @@ pt_r(sparse_r) = OK
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pt_c(sparse_c) = OK
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pt_r(sparse_c) = OK
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pt_c(sparse_r) = OK
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double_row(first_row) = OK
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double_col(first_row) = OK
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double_row(first_col) = OK
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double_col(first_col) = OK
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double_mat_cm(0) = OK
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double_mat_rm(0) = OK
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double_mat_cm(1) = OK
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double_mat_rm(1) = OK
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double_mat_cm(2) = OK
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double_mat_rm(2) = OK
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@ -61,7 +61,7 @@ struct type_caster<Type, typename std::enable_if<is_eigen_dense<Type>::value>::t
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buffer_info info = buffer.request();
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if (info.ndim == 1) {
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typedef Eigen::Stride<Eigen::Dynamic, 0> Strides;
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typedef Eigen::InnerStride<> Strides;
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if (!isVector &&
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!(Type::RowsAtCompileTime == Eigen::Dynamic &&
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Type::ColsAtCompileTime == Eigen::Dynamic))
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@ -71,10 +71,13 @@ struct type_caster<Type, typename std::enable_if<is_eigen_dense<Type>::value>::t
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info.shape[0] != (size_t) Type::SizeAtCompileTime)
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return false;
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auto strides = Strides(info.strides[0] / sizeof(Scalar), 0);
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auto strides = Strides(info.strides[0] / sizeof(Scalar));
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Strides::Index n_elts = info.shape[0];
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Strides::Index unity = 1;
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value = Eigen::Map<Type, 0, Strides>(
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(Scalar *) info.ptr, typename Strides::Index(info.shape[0]), 1, strides);
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(Scalar *) info.ptr, rowMajor ? unity : n_elts, rowMajor ? n_elts : unity, strides);
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} else if (info.ndim == 2) {
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typedef Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic> Strides;
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