1 files changed, 66 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/determinant_op.cc b/tensorflow/core/kernels/determinant_op.cc
new file mode 100644
index 0000000000..d34aab7a44
--- /dev/null
+++ b/tensorflow/core/kernels/determinant_op.cc
@@ -0,0 +1,66 @@
+// 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 DeterminantOp : public LinearAlgebraOp<Scalar, SupportsBatchOperationT> {
+ public:
+  explicit DeterminantOp(OpKernelConstruction* context)
+      : LinearAlgebraOp<Scalar, SupportsBatchOperationT>(context) {}
+  ~DeterminantOp() override {}
+
+  TensorShape GetOutputMatrixShape(
+      const TensorShape& input_matrix_shape) override {
+    return TensorShape({});
+  }
+
+  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."));
+    Scalar determinant;
+    if (input.rows() == 0) {
+      // An empty matrix' determinant is defined to be 1.  See
+      // wikipedia.
+      determinant = 1;
+    } else {
+      determinant = input.determinant();
+    }
+    OP_REQUIRES(context, std::isfinite(determinant),
+                errors::Internal("The determinant is not finite."));
+    (*output)(0, 0) = determinant;
+  }
+};
+
+REGISTER_LINALG_OP("MatrixDeterminant", (DeterminantOp<float, false>), float);
+REGISTER_LINALG_OP("MatrixDeterminant", (DeterminantOp<double, false>), double);
+REGISTER_LINALG_OP("BatchMatrixDeterminant", (DeterminantOp<float, true>),
+                   float);
+REGISTER_LINALG_OP("BatchMatrixDeterminant", (DeterminantOp<double, true>),
+                   double);
+
+}  // namespace tensorflow