1 files changed, 66 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/pooling_ops_3d.h b/tensorflow/core/kernels/pooling_ops_3d.h
new file mode 100644
index 0000000000..7954e2cf83
--- /dev/null
+++ b/tensorflow/core/kernels/pooling_ops_3d.h
@@ -0,0 +1,66 @@
+/* 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.
+==============================================================================*/
+
+#ifndef TENSORFLOW_KERNELS_POOLING_OPS_3D_H_
+#define TENSORFLOW_KERNELS_POOLING_OPS_3D_H_
+
+#include "tensorflow/core/framework/op_kernel.h"
+#include "tensorflow/core/util/padding.h"
+#include "tensorflow/core/util/tensor_format.h"
+
+namespace tensorflow {
+
+// A helper class to manage sizes and shapes for 3d pooling operations.
+struct Pool3dParameters {
+  // Updates context->status if there is an invalid input.
+  Pool3dParameters(OpKernelContext* context, const std::vector<int32>& ksize,
+                   const std::vector<int32>& stride, Padding padding,
+                   TensorFormat data_format,
+                   const TensorShape& tensor_in_shape);
+
+  // Returns the shape of the output for "forward" pooling operations.
+  TensorShape forward_output_shape();
+
+  int depth;
+
+  int tensor_in_planes;
+  int tensor_in_cols;
+  int tensor_in_rows;
+  int tensor_in_batch;
+
+  int window_planes;
+  int window_cols;
+  int window_rows;
+  int depth_window;
+
+  int plane_stride;
+  int col_stride;
+  int row_stride;
+  int depth_stride;
+
+  int64 out_plane;
+  int64 out_height;
+  int64 out_width;
+
+  int64 pad_planes;
+  int64 pad_cols;
+  int64 pad_rows;
+
+  TensorFormat data_format;
+};
+
+}  // namespace tensorflow
+
+#endif  // TENSORFLOW_KERNELS_POOLING_OPS_3D_H_