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diff --git a/tensorflow/core/kernels/mkl_pooling_ops_common.h b/tensorflow/core/kernels/mkl_pooling_ops_common.h
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+/* 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.
+==============================================================================*/
+
+#ifndef TENSORFLOW_CORE_KERNELS_MKL_POOLING_OPS_COMMON_H_
+#define TENSORFLOW_CORE_KERNELS_MKL_POOLING_OPS_COMMON_H_
+
+#ifdef INTEL_MKL
+#include <vector>
+#include "tensorflow/core/util/mkl_util.h"
+#include "tensorflow/core/util/padding.h"
+
+namespace tensorflow {
+
+typedef Eigen::ThreadPoolDevice CPUDevice;
+
+struct MklPoolParameters {
+  int depth;
+
+  int tensor_in_cols;
+  int tensor_in_rows;
+  int tensor_in_batch;
+
+  int window_rows;
+  int window_cols;
+  int depth_window;
+
+  int row_stride;
+  int col_stride;
+  int depth_stride;
+
+  int64 out_height;
+  int64 out_width;
+  int out_depth;
+
+  int64 pad_left;
+  int64 pad_right;
+  int64 pad_top;
+  int64 pad_bottom;
+  int pad_depth;
+
+  TensorFormat data_format;
+
+  // Updates context->status if there is an invalid input.
+  void Init(OpKernelContext* context, const std::vector<int32>& ksize,
+            const std::vector<int32>& stride, Padding padding,
+            TensorFormat data_format, const TensorShape& tensor_in_shape);
+  void Init(OpKernelContext* context, const std::vector<int32>& ksize,
+            const std::vector<int32>& stride, Padding padding,
+            TensorFormat data_format, const MklShape* mkl_in_shape);
+
+ private:
+  // Common initialization for TensorFlow and MKL formats
+  void Init(OpKernelContext* context, const std::vector<int32>& ksize,
+            const std::vector<int32>& stride, Padding padding,
+            TensorFormat data_format);
+};
+
+//-------------------------------------------------------------------
+// Utility functions
+
+typedef struct {
+  size_t in_dim;
+  size_t in_sizes[4];
+  size_t in_strides[4];
+  size_t out_sizes[4];
+  size_t out_strides[4];
+  int in_offset[4];
+  size_t kernel_stride[2];
+  size_t kernel_size[2];
+} MklPoolingOpParams;
+
+// Transfers the right parameters for pooling to the op parameters
+// Updates context->status if there is an invalid input.
+void ExtractMklOpParams(OpKernelContext* context, TensorFormat data_format,
+                        const MklPoolParameters& params,
+                        MklPoolingOpParams* mkl_params);
+}  // namespace tensorflow
+
+#endif  // INTEL_MKL
+#endif  // TENSORFLOW_CORE_KERNELS_MKL_POOLING_OPS_COMMON_H_