1 files changed, 0 insertions, 75 deletions
diff --git a/tensorflow/core/kernels/bincount_op_test.cc b/tensorflow/core/kernels/bincount_op_test.cc
deleted file mode 100644
index 14becc87a7..0000000000
--- a/tensorflow/core/kernels/bincount_op_test.cc
+++ /dev/null
@@ -1,75 +0,0 @@
-/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include "tensorflow/core/common_runtime/kernel_benchmark_testlib.h"
-#include "tensorflow/core/framework/fake_input.h"
-#include "tensorflow/core/framework/node_def_builder.h"
-#include "tensorflow/core/framework/tensor.h"
-#include "tensorflow/core/graph/node_builder.h"
-#include "tensorflow/core/kernels/ops_testutil.h"
-#include "tensorflow/core/platform/test.h"
-#include "tensorflow/core/platform/test_benchmark.h"
-
-namespace tensorflow {
-
-static Graph* Bincount(int arr_size, int nbins) {
-  Graph* g = new Graph(OpRegistry::Global());
-
-  Tensor arr(DT_INT32, TensorShape({arr_size}));
-  arr.flat<int32>() = arr.flat<int32>().setRandom().abs();
-
-  Tensor size(DT_INT32, TensorShape({(int32)1}));
-  size.flat<int32>()(0) = (int32)nbins;
-
-  Tensor weights(DT_INT32, TensorShape({0}));
-
-  Node* node;
-  TF_CHECK_OK(NodeBuilder(g->NewName("n"), "Bincount")
-                  .Input(test::graph::Constant(g, arr))
-                  .Input(test::graph::Constant(g, size))
-                  .Input(test::graph::Constant(g, weights))
-                  .Attr("T", DT_INT32)
-                  .Finalize(g, &node));
-  return g;
-}
-
-#define BM_BincountDev(K, NBINS, type)                             \
-  static void BM_Bincount##_##type##_##K##_##NBINS(int iters) {    \
-    testing::ItemsProcessed(static_cast<int64>(iters) * K * 1024); \
-    test::Benchmark(#type, Bincount(K * 1024, NBINS)).Run(iters);  \
-  }                                                                \
-  BENCHMARK(BM_Bincount##_##type##_##K##_##NBINS);
-
-BM_BincountDev(32, 1000, cpu);
-BM_BincountDev(32, 2000, cpu);
-BM_BincountDev(32, 5000, cpu);
-BM_BincountDev(64, 1000, cpu);
-BM_BincountDev(64, 2000, cpu);
-BM_BincountDev(64, 5000, cpu);
-BM_BincountDev(128, 1000, cpu);
-BM_BincountDev(128, 2000, cpu);
-BM_BincountDev(128, 5000, cpu);
-
-BM_BincountDev(32, 1000, gpu);
-BM_BincountDev(32, 2000, gpu);
-BM_BincountDev(32, 5000, gpu);
-BM_BincountDev(64, 1000, gpu);
-BM_BincountDev(64, 2000, gpu);
-BM_BincountDev(64, 5000, gpu);
-BM_BincountDev(128, 1000, gpu);
-BM_BincountDev(128, 2000, gpu);
-BM_BincountDev(128, 5000, gpu);
-
-}  // end namespace tensorflow