1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
|
// See docs in ../ops/linalg_ops.cc.
#include <cmath>
#include "tensorflow/core/framework/kernel_def_builder.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/kernels/linalg_ops_common.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/public/tensor_shape.h"
#include "third_party/eigen3/Eigen/LU"
namespace tensorflow {
template <class Scalar, bool SupportsBatchOperationT>
class MatrixInverseOp
: public LinearAlgebraOp<Scalar, SupportsBatchOperationT> {
public:
explicit MatrixInverseOp(OpKernelConstruction* context)
: LinearAlgebraOp<Scalar, SupportsBatchOperationT>(context) {}
~MatrixInverseOp() override {}
TensorShape GetOutputMatrixShape(
const TensorShape& input_matrix_shape) override {
return input_matrix_shape;
}
int64 GetCostPerUnit(const TensorShape& input_matrix_shape) override {
const int64 rows = input_matrix_shape.dim_size(0);
if (rows > (1LL << 20)) {
// A big number to cap the cost in case overflow.
return kint32max;
} else {
return rows * rows * rows;
}
}
using typename LinearAlgebraOp<Scalar, SupportsBatchOperationT>::MatrixMap;
using
typename LinearAlgebraOp<Scalar, SupportsBatchOperationT>::ConstMatrixMap;
void ComputeMatrix(OpKernelContext* context, const ConstMatrixMap& input,
MatrixMap* output) override {
OP_REQUIRES(context, input.rows() == input.cols(),
errors::InvalidArgument("Input matrix must be square."));
if (input.rows() == 0) {
// By definition, an empty matrix's inverse is an emptry matrix.
return;
}
Eigen::FullPivLU<Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic,
Eigen::RowMajor>> lu_decomposition(input);
OP_REQUIRES(context, lu_decomposition.isInvertible(),
errors::InvalidArgument("Input is not invertible."));
*output = lu_decomposition.inverse();
}
};
REGISTER_LINALG_OP("MatrixInverse", (MatrixInverseOp<float, false>), float);
REGISTER_LINALG_OP("MatrixInverse", (MatrixInverseOp<double, false>), double);
REGISTER_LINALG_OP("BatchMatrixInverse", (MatrixInverseOp<float, true>), float);
REGISTER_LINALG_OP("BatchMatrixInverse", (MatrixInverseOp<double, true>),
double);
} // namespace tensorflow
|
