diff options
Diffstat (limited to 'tensorflow/compiler/tf2xla/lib/qr.cc')
| -rw-r--r-- | tensorflow/compiler/tf2xla/lib/qr.cc | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/compiler/tf2xla/lib/qr.cc b/tensorflow/compiler/tf2xla/lib/qr.cc index 0a140fa93c..6b3f2b6e06 100644 --- a/tensorflow/compiler/tf2xla/lib/qr.cc +++ b/tensorflow/compiler/tf2xla/lib/qr.cc @@ -150,7 +150,7 @@ struct QRBlockResult { xla::XlaOp vs; // Shape: [..., m, n] }; xla::StatusOr<QRBlockResult> QRBlock( - xla::XlaOp a, xla::PrecisionConfigProto::Precision precision) { + xla::XlaOp a, xla::PrecisionConfig::Precision precision) { xla::XlaBuilder* builder = a.builder(); TF_ASSIGN_OR_RETURN(xla::Shape a_shape, builder->GetShape(a)); const int num_dims = xla::ShapeUtil::Rank(a_shape); @@ -257,7 +257,7 @@ xla::StatusOr<QRBlockResult> QRBlock( xla::StatusOr<xla::XlaOp> ComputeWYRepresentation( xla::PrimitiveType type, absl::Span<const int64> batch_dims, xla::XlaOp vs, xla::XlaOp taus, int64 m, int64 n, - xla::PrecisionConfigProto::Precision precision) { + xla::PrecisionConfig::Precision precision) { std::vector<int64> batch_dim_indices(batch_dims.size()); std::iota(batch_dim_indices.begin(), batch_dim_indices.end(), 0); int64 n_index = batch_dims.size() + 1; @@ -332,7 +332,7 @@ xla::StatusOr<xla::XlaOp> ComputeWYRepresentation( // rather than WY transformations. xla::StatusOr<QRDecompositionResult> QRDecomposition( xla::XlaOp a, bool full_matrices, int64 block_size, - xla::PrecisionConfigProto::Precision precision) { + xla::PrecisionConfig::Precision precision) { xla::XlaBuilder* builder = a.builder(); TF_ASSIGN_OR_RETURN(xla::Shape a_shape, builder->GetShape(a)); const int num_dims = xla::ShapeUtil::Rank(a_shape); |