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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2018-10-09 16:53:29 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-10-09 17:06:10 -0700 |
| commit | bb5fc614a4a358b350ef8dd19cb7010760fa9b29 (patch) | |
| tree | 43a745ffdc409d0ff4660342d6a62735ac366a13 /tensorflow/compiler/xla/service/service.h | |
| parent | 65b7d0b2f84c334327a295bf41bc06c7f6b8ffe5 (diff) | |
[XLA] Cleanup: Make AllocationTracker::Resolve const.
So that when resolving some global data, we don't have to worry whether
"Resolve" is going to mutate the real data.
PiperOrigin-RevId: 216448145
Diffstat (limited to 'tensorflow/compiler/xla/service/service.h')
| -rw-r--r-- | tensorflow/compiler/xla/service/service.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/compiler/xla/service/service.h b/tensorflow/compiler/xla/service/service.h index 1f62fad4c8..8cf1a7b9f0 100644 --- a/tensorflow/compiler/xla/service/service.h +++ b/tensorflow/compiler/xla/service/service.h @@ -191,7 +191,7 @@ class Service : public ServiceInterface { // Prepare the arguments for executing parallel. StatusOr<std::vector<std::vector<const ShapedBuffer*>>> GetArguments( const ExecutionOptions& execution_options, - absl::Span<const GlobalDataHandle* const> arguments); + absl::Span<const GlobalDataHandle* const> arguments) const; protected: friend class LocalExecutable; @@ -208,7 +208,7 @@ class Service : public ServiceInterface { StatusOr<std::vector<std::vector<const ShapedBuffer*>>> ResolveAndValidateArguments( absl::Span<const GlobalDataHandle* const> arguments, - absl::Span<se::StreamExecutor* const> stream_executors); + absl::Span<se::StreamExecutor* const> stream_executors) const; // Create a Hlo module config for the given program shape and arguments. // execution_options is optional; if not given a default is used. |