experiments/STT-tensorflow
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Minor cleanup: Remove unused BUILD dependencies and unnecessary code.

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PiperOrigin-RevId: 157837211
This commit is contained in:
A. Unique TensorFlower 2017-06-02 09:08:54 -07:00 committed by TensorFlower Gardener
parent 4161ccc8e7
commit ac66be783b
6 changed files with 14 additions and 25 deletions
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2
tensorflow/compiler/xla/service/BUILD
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@ -1683,10 +1683,8 @@ cc_library(
deps = [ deps = [
":buffer_assignment", ":buffer_assignment",
":hlo", ":hlo",
":hlo_ordering",
":hlo_proto", ":hlo_proto",
"//tensorflow/compiler/xla:status", "//tensorflow/compiler/xla:status",
"//tensorflow/compiler/xla:util",
"//tensorflow/core:lib", "//tensorflow/core:lib",
], ],
) )

1
tensorflow/compiler/xla/service/hlo_computation.cc
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@ -311,7 +311,6 @@ void ComputeComputationPostOrder(
visited->insert(computation); visited->insert(computation);
post_order->push_back(computation); post_order->push_back(computation);
return;
} }
} // namespace } // namespace

15
tensorflow/core/common_runtime/stats_publisher_interface.cc
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@ -15,29 +15,30 @@ limitations under the License.
#include "tensorflow/core/common_runtime/stats_publisher_interface.h" #include "tensorflow/core/common_runtime/stats_publisher_interface.h"
namespace tensorflow { #include "tensorflow/core/framework/graph.pb.h"
namespace tensorflow {
namespace { namespace {
// NoOpStatsPublisher provides an dummy/no-op implementation of // NoOpStatsPublisher provides an dummy/no-op implementation of
// StatsPublisherInterface. // StatsPublisherInterface.
class NoOpStatsPublisher : public StatsPublisherInterface { class NoOpStatsPublisher : public StatsPublisherInterface {
public: public:
NoOpStatsPublisher(){}; NoOpStatsPublisher() = default;
void PublishStatsProto(const StepStats& step_stats) override { return; } void PublishStatsProto(const StepStats& step_stats) override {}
void PublishGraphProto( void PublishGraphProto(
const std::vector<const GraphDef*>& graph_defs) override { const std::vector<const GraphDef*>& graph_defs) override {}
return;
}
std::unique_ptr<ProfileHandler> GetProfileHandler( std::unique_ptr<ProfileHandler> GetProfileHandler(
uint64 step, int64 execution_count, const RunOptions& ropts) override { uint64 step, int64 execution_count, const RunOptions& ropts) override {
return nullptr; return nullptr;
} }
~NoOpStatsPublisher() override {} ~NoOpStatsPublisher() override = default;
}; };
} // namespace } // namespace
std::unique_ptr<StatsPublisherInterface> CreateNoOpStatsPublisher( std::unique_ptr<StatsPublisherInterface> CreateNoOpStatsPublisher(

1
tensorflow/core/framework/rendezvous.cc
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@ -283,7 +283,6 @@ class LocalRendezvousImpl : public Rendezvous {
} }
CHECK(table_.insert({key_hash, item}).second); CHECK(table_.insert({key_hash, item}).second);
mu_.unlock(); mu_.unlock();
return;
} }
void StartAbort(const Status& status) override { void StartAbort(const Status& status) override {

7
tensorflow/core/framework/tensor_test.cc
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@ -820,16 +820,14 @@ namespace {
// failures to allocate. // failures to allocate.
class DummyCPUAllocator : public Allocator { class DummyCPUAllocator : public Allocator {
public: public:
DummyCPUAllocator() {} DummyCPUAllocator() = default;
string Name() override { return "cpu"; } string Name() override { return "cpu"; }
void* AllocateRaw(size_t alignment, size_t num_bytes) override { void* AllocateRaw(size_t alignment, size_t num_bytes) override {
return nullptr; return nullptr;
} }
void DeallocateRaw(void* ptr) override { return; } void DeallocateRaw(void* ptr) override {}
}; };
} // namespace
TEST(Tensor, FailureToAllocate) { TEST(Tensor, FailureToAllocate) {
TensorShape shape({1}); TensorShape shape({1});
DummyCPUAllocator allocator; DummyCPUAllocator allocator;
@ -1080,4 +1078,5 @@ static void BM_CreateAndMoveCtrWithBuf(int iters) {
} }
BENCHMARK(BM_CreateAndMoveCtrWithBuf); BENCHMARK(BM_CreateAndMoveCtrWithBuf);
} // namespace
} // namespace tensorflow } // namespace tensorflow

13
tensorflow/examples/wav_to_spectrogram/BUILD
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@ -15,12 +15,8 @@ exports_files(["LICENSE"])
cc_library( cc_library(
name = "wav_to_spectrogram_lib", name = "wav_to_spectrogram_lib",
srcs = [ srcs = ["wav_to_spectrogram.cc"],
"wav_to_spectrogram.cc", hdrs = ["wav_to_spectrogram.h"],
],
hdrs = [
"wav_to_spectrogram.h",
],
deps = [ deps = [
"//tensorflow/cc:cc_ops", "//tensorflow/cc:cc_ops",
"//tensorflow/core:framework_internal", "//tensorflow/core:framework_internal",
@ -30,13 +26,10 @@ cc_library(
cc_binary( cc_binary(
name = "wav_to_spectrogram", name = "wav_to_spectrogram",
srcs = [ srcs = ["main.cc"],
"main.cc",
],
deps = [ deps = [
":wav_to_spectrogram_lib", ":wav_to_spectrogram_lib",
"//tensorflow/core:framework_internal", "//tensorflow/core:framework_internal",
"//tensorflow/core:tensorflow",
], ],
) )