1 files changed, 0 insertions, 58 deletions
diff --git a/tensorflow/core/kernels/dynamic_partition_op_test.cc b/tensorflow/core/kernels/dynamic_partition_op_test.cc
index 9a7ed0af21..0e8fbc0a67 100644
--- a/tensorflow/core/kernels/dynamic_partition_op_test.cc
+++ b/tensorflow/core/kernels/dynamic_partition_op_test.cc
@@ -16,7 +16,6 @@ limitations under the License.
 #include <functional>
 #include <memory>
 
-#include "tensorflow/core/common_runtime/kernel_benchmark_testlib.h"
 #include "tensorflow/core/framework/allocator.h"
 #include "tensorflow/core/framework/fake_input.h"
 #include "tensorflow/core/framework/node_def_builder.h"
@@ -24,14 +23,10 @@ limitations under the License.
 #include "tensorflow/core/framework/tensor.h"
 #include "tensorflow/core/framework/types.h"
 #include "tensorflow/core/framework/types.pb.h"
-#include "tensorflow/core/graph/node_builder.h"
-#include "tensorflow/core/graph/testlib.h"
 #include "tensorflow/core/kernels/ops_testutil.h"
 #include "tensorflow/core/kernels/ops_util.h"
 #include "tensorflow/core/lib/core/status_test_util.h"
-#include "tensorflow/core/lib/random/simple_philox.h"
 #include "tensorflow/core/platform/test.h"
-#include "tensorflow/core/platform/test_benchmark.h"
 
 namespace tensorflow {
 namespace {
@@ -158,58 +153,5 @@ TEST_F(DynamicPartitionOpTest, Error_IndexOutOfRange) {
       << s;
 }
 
-Node* DynamicPartitionNode(Graph* g, Node* in0, Node* in1, int num_partitions) {
-  Node* ret;
-  TF_CHECK_OK(NodeBuilder(g->NewName("n"), "DynamicPartition")
-                  .Input(in0)
-                  .Input(in1)
-                  .Attr("num_partitions", num_partitions)
-                  .Finalize(g, &ret));
-  return ret;
-}
-
-template <typename T>
-static Graph* DynamicPartition(int num_partitions, int dim) {
-  Graph* g = new Graph(OpRegistry::Global());
-  // Always use a 128MB buffer.
-  const int kRows = ((128 << 20) / sizeof(T)) / dim;
-  Tensor data(DataTypeToEnum<T>::value, TensorShape({kRows, dim}));
-  data.flat<T>().setRandom();
-
-  random::PhiloxRandom philox(301, 17);
-  random::SimplePhilox rnd(&philox);
-  Tensor partitions(DT_INT32, TensorShape({kRows}));
-  for (int i = 0; i < kRows; i++) {
-    partitions.flat<int32>()(i) = rnd.Uniform(num_partitions);
-  }
-  DynamicPartitionNode(g, test::graph::Constant(g, data),
-                       test::graph::Constant(g, partitions), num_partitions);
-  return g;
-}
-
-#define BM_DYNAMIC_PARTITION(DEVICE, T, num)                            \
-  static void BM_##DEVICE##_dynpart_##T##_##num(int iters, int dim) {   \
-    const int64 items = ((128 << 20) / sizeof(T));                      \
-    const int64 tot = static_cast<int64>(iters) * items;                \
-    testing::ItemsProcessed(tot);                                       \
-    testing::UseRealTime();                                             \
-    test::Benchmark(#DEVICE, DynamicPartition<T>(num, dim)).Run(iters); \
-  }                                                                     \
-  BENCHMARK(BM_##DEVICE##_dynpart_##T##_##num)->Arg(1)->Arg(256)
-
-BM_DYNAMIC_PARTITION(cpu, float, 2);
-BM_DYNAMIC_PARTITION(cpu, float, 100);
-BM_DYNAMIC_PARTITION(cpu, double, 2);
-BM_DYNAMIC_PARTITION(cpu, double, 100);
-BM_DYNAMIC_PARTITION(cpu, complex64, 2);
-BM_DYNAMIC_PARTITION(cpu, complex64, 100);
-
-BM_DYNAMIC_PARTITION(gpu, float, 2);
-BM_DYNAMIC_PARTITION(gpu, float, 100);
-BM_DYNAMIC_PARTITION(gpu, double, 2);
-BM_DYNAMIC_PARTITION(gpu, double, 100);
-BM_DYNAMIC_PARTITION(gpu, complex64, 2);
-BM_DYNAMIC_PARTITION(gpu, complex64, 100);
-
 }  // namespace
 }  // namespace tensorflow