diff options
Diffstat (limited to 'tensorflow/compiler/tf2xla/lib/triangular_solve.cc')
| -rw-r--r-- | tensorflow/compiler/tf2xla/lib/triangular_solve.cc | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/compiler/tf2xla/lib/triangular_solve.cc b/tensorflow/compiler/tf2xla/lib/triangular_solve.cc index 37b2240b45..6524c2a9b1 100644 --- a/tensorflow/compiler/tf2xla/lib/triangular_solve.cc +++ b/tensorflow/compiler/tf2xla/lib/triangular_solve.cc @@ -110,9 +110,9 @@ xla::XlaOp DiagonalBlocks(xla::XlaOp a, int64 block_size) { }); } -xla::XlaOp InvertDiagonalBlocks( - xla::XlaOp diag_blocks, bool lower, bool transpose_a, bool conjugate_a, - xla::PrecisionConfigProto::Precision precision) { +xla::XlaOp InvertDiagonalBlocks(xla::XlaOp diag_blocks, bool lower, + bool transpose_a, bool conjugate_a, + xla::PrecisionConfig::Precision precision) { xla::XlaBuilder* builder = diag_blocks.builder(); return builder->ReportErrorOrReturn([&]() -> xla::StatusOr<xla::XlaOp> { // Input is a batch of square lower triangular square matrices. Its shape is @@ -216,7 +216,7 @@ xla::XlaOp InvertDiagonalBlocks( dnums.add_rhs_batch_dimensions(0); dnums.add_lhs_contracting_dimensions(2); dnums.add_rhs_contracting_dimensions(1); - xla::PrecisionConfigProto precision_proto; + xla::PrecisionConfig precision_proto; precision_proto.add_operand_precision(precision); precision_proto.add_operand_precision(precision); auto update = -DotGeneral(input_row, body_out, dnums, &precision_proto); @@ -245,7 +245,7 @@ xla::XlaOp InvertDiagonalBlocks( xla::XlaOp SolveWithInvertedDiagonalBlocks( xla::XlaOp a, xla::XlaOp b, xla::XlaOp inv_diag_blocks, bool left_side, bool lower, bool transpose_a, bool conjugate_a, - xla::PrecisionConfigProto::Precision precision) { + xla::PrecisionConfig::Precision precision) { xla::XlaBuilder* builder = a.builder(); return builder->ReportErrorOrReturn([&]() -> xla::StatusOr<xla::XlaOp> { TF_ASSIGN_OR_RETURN(xla::Shape blocks_shape, @@ -346,7 +346,7 @@ xla::XlaOp SolveWithInvertedDiagonalBlocks( xla::XlaOp TriangularSolve(xla::XlaOp a, xla::XlaOp b, bool left_side, bool lower, bool transpose_a, bool conjugate_a, int64 block_size, - xla::PrecisionConfigProto::Precision precision) { + xla::PrecisionConfig::Precision precision) { xla::XlaBuilder* builder = a.builder(); return builder->ReportErrorOrReturn([&]() -> xla::StatusOr<xla::XlaOp> { TF_ASSIGN_OR_RETURN(xla::Shape a_shape, builder->GetShape(a)); |