1 files changed, 0 insertions, 92 deletions
diff --git a/tensorflow/core/util/mkl_util_test.cc b/tensorflow/core/util/mkl_util_test.cc
deleted file mode 100644
index 6aef3d86e9..0000000000
--- a/tensorflow/core/util/mkl_util_test.cc
+++ /dev/null
@@ -1,92 +0,0 @@
-/* Copyright 2017 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.
-==============================================================================*/
-
-#ifdef INTEL_MKL
-
-#include "tensorflow/core/util/mkl_util.h"
-
-#include "tensorflow/core/platform/test.h"
-
-namespace tensorflow {
-namespace {
-
-#ifdef INTEL_MKL_DNN
-
-TEST(MklUtilTest, MklDnnTfShape) {
-  auto cpu_engine = engine(engine::cpu, 0);
-  MklDnnData<float> a(&cpu_engine);
-
-  const int N = 1, C = 2, H = 3, W = 4;
-  memory::dims a_dims = {N, C, H, W};
-  MklDnnShape a_mkldnn_shape;
-  a_mkldnn_shape.SetMklTensor(true);
-  // Create TF layout in NCHW.
-  a_mkldnn_shape.SetTfLayout(a_dims.size(), a_dims, memory::format::nchw);
-  TensorShape a_tf_shape_nchw({N, C, H, W});
-  TensorShape a_tf_shape_nhwc({N, H, W, C});
-  TensorShape a_mkldnn_tf_shape = a_mkldnn_shape.GetTfShape();
-  // Check that returned shape is in NCHW format.
-  EXPECT_EQ(a_tf_shape_nchw, a_mkldnn_tf_shape);
-  EXPECT_NE(a_tf_shape_nhwc, a_mkldnn_tf_shape);
-
-  memory::dims b_dims = {N, C, H, W};
-  MklDnnShape b_mkldnn_shape;
-  b_mkldnn_shape.SetMklTensor(true);
-  // Create TF layout in NHWC.
-  b_mkldnn_shape.SetTfLayout(b_dims.size(), b_dims, memory::format::nhwc);
-  TensorShape b_tf_shape_nhwc({N, H, W, C});
-  TensorShape b_tf_shape_nchw({N, C, H, W});
-  TensorShape b_mkldnn_tf_shape = b_mkldnn_shape.GetTfShape();
-  // Check that returned shape is in NHWC format.
-  EXPECT_EQ(b_tf_shape_nhwc, b_mkldnn_tf_shape);
-  EXPECT_NE(b_tf_shape_nchw, b_mkldnn_tf_shape);
-}
-
-
-TEST(MklUtilTest, MklDnnBlockedFormatTest) {
-  // Let's create 2D tensor of shape {3, 4} with 3 being innermost dimension
-  // first (case 1) and then it being outermost dimension (case 2).
-  auto cpu_engine = engine(engine::cpu, 0);
-
-  // Setting for case 1
-  MklDnnData<float> a(&cpu_engine);
-  memory::dims dim1 = {3, 4};
-  memory::dims strides1 = {1, 3};
-  a.SetUsrMem(dim1, strides1);
-
-  memory::desc a_md1 = a.GetUsrMemDesc();
-  EXPECT_EQ(a_md1.data.ndims, 2);
-  EXPECT_EQ(a_md1.data.dims[0], 3);
-  EXPECT_EQ(a_md1.data.dims[1], 4);
-  EXPECT_EQ(a_md1.data.format, mkldnn_blocked);
-
-  // Setting for case 2
-  MklDnnData<float> b(&cpu_engine);
-  memory::dims dim2 = {3, 4};
-  memory::dims strides2 = {4, 1};
-  b.SetUsrMem(dim2, strides2);
-
-  memory::desc b_md2 = b.GetUsrMemDesc();
-  EXPECT_EQ(b_md2.data.ndims, 2);
-  EXPECT_EQ(b_md2.data.dims[0], 3);
-  EXPECT_EQ(b_md2.data.dims[1], 4);
-  EXPECT_EQ(b_md2.data.format, mkldnn_blocked);
-}
-
-#endif  // INTEL_MKL_DNN
-}  // namespace
-}  // namespace tensorflow
-
-#endif  // INTEL_MKL