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authorGravatar Justin Lebar <jlebar@google.com>2018-04-23 17:16:55 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-04-23 17:19:22 -0700
commit80fc661853f9a0844faf95eb68438dc85a5879e3 (patch)
treee7328a367c4f4db472063f96c983b70e63aa3f26 /tensorflow/compiler/aot
parentecd837fd0ab69cf54d920eae3b1c73602be6c626 (diff)
Use tensorflow::se instead of perftools::gputools for StreamExecutor.
PiperOrigin-RevId: 194010749
Diffstat (limited to 'tensorflow/compiler/aot')
-rw-r--r--tensorflow/compiler/aot/compile.cc5
1 files changed, 2 insertions, 3 deletions
diff --git a/tensorflow/compiler/aot/compile.cc b/tensorflow/compiler/aot/compile.cc
index 7c83387881..e17a7c4bf6 100644
--- a/tensorflow/compiler/aot/compile.cc
+++ b/tensorflow/compiler/aot/compile.cc
@@ -88,9 +88,8 @@ Status CompileGraph(const GraphDef& graph_def, const tf2xla::Config& config,
// Converts the graph into an XLA computation, and compiles the
// computation.
// TODO(toddw): Should we let the user pick the XLA cpu vs. gpu client?
- namespace gpu = perftools::gputools;
- gpu::Platform* cpu_platform =
- gpu::MultiPlatformManager::PlatformWithName("Host").ValueOrDie();
+ se::Platform* cpu_platform =
+ se::MultiPlatformManager::PlatformWithName("Host").ValueOrDie();
xla::CompileOnlyClient* client =
xla::ClientLibrary::GetOrCreateCompileOnlyClient(cpu_platform)
.ValueOrDie();