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-rw-r--r--tensorflow/compiler/xla/service/service.cc4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/compiler/xla/service/service.cc b/tensorflow/compiler/xla/service/service.cc
index b27a92f2a0..084df17951 100644
--- a/tensorflow/compiler/xla/service/service.cc
+++ b/tensorflow/compiler/xla/service/service.cc
@@ -207,7 +207,7 @@ Status Service::ValidateResultShape(const Shape& client_shape,
StatusOr<std::vector<std::vector<const ShapedBuffer*>>>
Service::ResolveAndValidateArguments(
absl::Span<const GlobalDataHandle* const> arguments,
- absl::Span<se::StreamExecutor* const> stream_executors) {
+ absl::Span<se::StreamExecutor* const> stream_executors) const {
CHECK_EQ(options_.number_of_replicas(), stream_executors.size());
std::vector<std::vector<const ShapedBuffer*>> replicated_arguments;
replicated_arguments.resize(options_.number_of_replicas());
@@ -590,7 +590,7 @@ StatusOr<std::vector<se::StreamExecutor*>> Service::GetExecutors(
StatusOr<std::vector<std::vector<const ShapedBuffer*>>> Service::GetArguments(
const ExecutionOptions& execution_options,
- absl::Span<const GlobalDataHandle* const> arguments) {
+ absl::Span<const GlobalDataHandle* const> arguments) const {
// Resolve the allocations for the arguments of the computation, and create
// a vector of device memory offsets for the arguments from the allocations.
// In the case of partitioned computations, assume all arguments go on the