Minor cleanup: remove unused constructions

PiperOrigin-RevId: 160736783

tensorflow/compiler/jit/encapsulate_subgraphs_pass.cc

@@ -25,7 +25,6 @@ limitations under the License.
 #include "tensorflow/compiler/tf2xla/dump_graph.h"
 #include "tensorflow/core/common_runtime/function.h"
 #include "tensorflow/core/common_runtime/optimization_registry.h"
-#include "tensorflow/core/framework/attr_value.pb.h"
 #include "tensorflow/core/framework/function.h"
 #include "tensorflow/core/framework/graph_def_util.h"
 #include "tensorflow/core/framework/node_def_builder.h"

tensorflow/compiler/plugin/executor/compiler.cc

@@ -18,7 +18,6 @@ limitations under the License.
 
 #include "tensorflow/compiler/plugin/executor/compiler.h"
 #include "tensorflow/compiler/plugin/executor/executable.h"
-
 #include "tensorflow/compiler/xla/service/algebraic_simplifier.h"
 #include "tensorflow/compiler/xla/service/flatten_call_graph.h"
 #include "tensorflow/compiler/xla/service/hlo_constant_folding.h"
@@ -30,18 +29,15 @@ limitations under the License.
 #include "tensorflow/compiler/xla/service/inliner.h"
 #include "tensorflow/compiler/xla/service/reshape_mover.h"
 #include "tensorflow/compiler/xla/status_macros.h"
-
+#include "tensorflow/core/lib/core/errors.h"
 #include "tensorflow/stream_executor/lib/initialize.h"
 #include "tensorflow/stream_executor/lib/strcat.h"
 
-#include "tensorflow/core/lib/core/errors.h"
+namespace xla {
+namespace executorplugin {
 
 namespace se = ::perftools::gputools;
 namespace sep = ::perftools::gputools::executorplugin;
-namespace port = ::perftools::gputools::port;
-
-namespace xla {
-namespace executorplugin {
 
 /*
  * Run optimization passes on the module.  The graph is transformed by
@@ -111,12 +107,11 @@ ExecutorCompiler::ShapeSizeBytesFunction() const {
   return ExecutorExecutable::ShapeSizeBytes;
 }
 
-
-}  // namespace executorplugin
-}  // namespace xla
-
 REGISTER_MODULE_INITIALIZER(executor_compiler, {
   xla::Compiler::RegisterCompilerFactory(sep::kExecutorPlatformId, []() {
     return xla::MakeUnique<xla::executorplugin::ExecutorCompiler>();
   });
 });
+
+}  // namespace executorplugin
+}  // namespace xla

tensorflow/compiler/plugin/executor/executable.cc

@@ -15,18 +15,16 @@ limitations under the License.
 
 #include "tensorflow/compiler/plugin/executor/executable.h"
 #include "tensorflow/compiler/plugin/executor/executor.h"
-
-#include "tensorflow/compiler/xla/service/hlo_evaluator.h"
-
 #include "tensorflow/compiler/xla/literal_util.h"
+#include "tensorflow/compiler/xla/service/hlo_evaluator.h"
 #include "tensorflow/compiler/xla/shape_util.h"
 
-namespace se = ::perftools::gputools;
-namespace sep = ::perftools::gputools::executorplugin;
-
 namespace xla {
 namespace executorplugin {
 
+namespace se = ::perftools::gputools;
+namespace sep = ::perftools::gputools::executorplugin;
+
 ExecutorExecutable::ExecutorExecutable(std::unique_ptr<HloModule> hlo_module)
     : Executable(std::move(hlo_module), ShapeSizeBytes) {}
 
@@ -90,15 +88,14 @@ StatusOr<se::DeviceMemoryBase> ExecutorExecutable::ExecuteOnStream(
     arg_literals_ptrs.push_back(arg_literals.back().get());
 
     // Copy in the data from the stream_executor buffers
-    void* buffer = arg_literals.back().get()->MutableInternalData();
+    void* buffer = arg_literals.back()->MutableInternalData();
     memcpy(buffer, arguments[p].opaque(),
            ShapeUtil::ByteSizeOf(param->shape()));
   }
 
   // Execute the graph using the evaluator
   HloEvaluator evaluator;
-  std::unique_ptr<Literal> output;
-  TF_ASSIGN_OR_RETURN(output,
+  TF_ASSIGN_OR_RETURN(std::unique_ptr<Literal> output,
                       evaluator.Evaluate(computation, arg_literals_ptrs));
 
   // Copy the result into the return buffer

tensorflow/compiler/plugin/executor/executor.cc

@@ -14,14 +14,12 @@ limitations under the License.
 ==============================================================================*/
 
 #include "tensorflow/compiler/plugin/executor/executor.h"
-#include "tensorflow/compiler/plugin/executor/platform_id.h"
-
-#include "tensorflow/compiler/xla/status_macros.h"
 
 #include <stdlib.h>
 #include <string.h>
 
-namespace se = ::perftools::gputools;
+#include "tensorflow/compiler/plugin/executor/platform_id.h"
+#include "tensorflow/compiler/xla/status_macros.h"
 
 namespace perftools {
 namespace gputools {
@@ -37,10 +35,7 @@ ExecutorExecutor::ExecutorExecutor(const PluginConfig &plugin_config)
 
 ExecutorExecutor::~ExecutorExecutor() {}
 
-void *ExecutorExecutor::Allocate(uint64 size) {
-  void *buf = new char[size];
-  return buf;
-}
+void *ExecutorExecutor::Allocate(uint64 size) { return new char[size]; }
 
 void *ExecutorExecutor::AllocateSubBuffer(DeviceMemoryBase *parent,
                                          uint64 offset_bytes,
@@ -126,8 +121,7 @@ DeviceDescription *ExecutorExecutor::PopulateDeviceDescription() const {
   builder.set_device_memory_size(static_cast<uint64>(4) * 1024 * 1024 * 1024);
   builder.set_clock_rate_ghz(static_cast<float>(CLOCKS_PER_SEC) / 1e9);
 
-  auto built = builder.Build();
-  return built.release();
+  return builder.Build().release();
 }
 
 }  // namespace executorplugin

tensorflow/compiler/xla/service/hlo_rematerialization_test.cc

@@ -357,7 +357,7 @@ TEST_F(HloRematerializationTest, InstructionRematerializedMultipleTimes) {
         /*dimension=*/0));
     builder.AddInstruction(HloInstruction::CreateSlice(
         vec1024_shape_, concat, /*start_indices=*/{0},
-        /*limit_indices=*/{1024}, /*slices=*/{1}));
+        /*limit_indices=*/{1024}, /*strides=*/{1}));
     subcomputation = module->AddEmbeddedComputation(builder.Build());
   }
 
@@ -473,7 +473,7 @@ TEST_P(IndirectUseTest, IndirectUseNotRematerialized) {
         /*dimension=*/0));
     builder.AddInstruction(HloInstruction::CreateSlice(
         vec1024_shape_, concat, /*start_indices=*/{0},
-        /*limit_indices=*/{1024}, /*slices=*/{1}));
+        /*limit_indices=*/{1024}, /*strides=*/{1}));
     subcomputation = module->AddEmbeddedComputation(builder.Build());
   }
 

tensorflow/contrib/boosted_trees/kernels/ensemble_optimizer_ops.cc

@@ -19,7 +19,6 @@
 #include "tensorflow/contrib/boosted_trees/proto/tree_config.pb.h"
 #include "tensorflow/contrib/boosted_trees/resources/decision_tree_ensemble_resource.h"
 #include "tensorflow/core/framework/op_kernel.h"
-#include "tensorflow/core/framework/resource_handle.pb.h"
 #include "tensorflow/core/framework/resource_mgr.h"
 #include "tensorflow/core/framework/tensor.h"
 #include "tensorflow/core/framework/tensor_shape.h"

tensorflow/contrib/boosted_trees/kernels/model_ops.cc

@@ -18,7 +18,6 @@
 #include "tensorflow/contrib/boosted_trees/proto/tree_config.pb.h"
 #include "tensorflow/contrib/boosted_trees/resources/decision_tree_ensemble_resource.h"
 #include "tensorflow/core/framework/op_kernel.h"
-#include "tensorflow/core/framework/resource_handle.pb.h"
 #include "tensorflow/core/framework/resource_mgr.h"
 #include "tensorflow/core/framework/tensor.h"
 #include "tensorflow/core/framework/tensor_shape.h"

tensorflow/contrib/tensor_forest/kernels/model_ops.cc

@@ -19,7 +19,6 @@
 #include "tensorflow/contrib/tensor_forest/kernels/v4/input_data.h"
 #include "tensorflow/contrib/tensor_forest/proto/tensor_forest_params.pb.h"
 #include "tensorflow/core/framework/op_kernel.h"
-#include "tensorflow/core/framework/resource_handle.pb.h"
 #include "tensorflow/core/framework/resource_mgr.h"
 #include "tensorflow/core/framework/tensor.h"
 #include "tensorflow/core/framework/tensor_shape.h"

tensorflow/contrib/tensor_forest/kernels/stats_ops.cc

@@ -22,7 +22,6 @@
 #include "tensorflow/contrib/tensor_forest/kernels/v4/params.h"
 #include "tensorflow/contrib/tensor_forest/proto/fertile_stats.pb.h"
 #include "tensorflow/core/framework/op_kernel.h"
-#include "tensorflow/core/framework/resource_handle.pb.h"
 #include "tensorflow/core/framework/resource_mgr.h"
 #include "tensorflow/core/framework/tensor.h"
 #include "tensorflow/core/framework/tensor_shape.h"

tensorflow/core/ops/state_ops.cc

@@ -18,7 +18,6 @@ limitations under the License.
 
 namespace tensorflow {
 
-using shape_inference::DimensionHandle;
 using shape_inference::InferenceContext;
 using shape_inference::ShapeHandle;
 

tensorflow/python/framework/test_ops.cc

@@ -16,7 +16,6 @@ limitations under the License.
 #include "tensorflow/core/framework/common_shape_fns.h"
 #include "tensorflow/core/framework/op.h"
 #include "tensorflow/core/framework/op_kernel.h"
-#include "tensorflow/core/framework/resource_handle.pb.h"
 #include "tensorflow/core/framework/resource_mgr.h"
 #include "tensorflow/core/lib/core/status.h"
 #include "tensorflow/core/public/version.h"