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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. | |
| # ============================================================================== | |
| """Helper functions to access TensorShape values. | |
| The rank 4 tensor_shape must be of the form [batch_size, height, width, depth]. | |
| """ | |
| def get_batch_size(tensor_shape): | |
| """Returns batch size from the tensor shape. | |
| Args: | |
| tensor_shape: A rank 4 TensorShape. | |
| Returns: | |
| An integer representing the batch size of the tensor. | |
| """ | |
| tensor_shape.assert_has_rank(rank=4) | |
| return tensor_shape[0].value | |
| def get_height(tensor_shape): | |
| """Returns height from the tensor shape. | |
| Args: | |
| tensor_shape: A rank 4 TensorShape. | |
| Returns: | |
| An integer representing the height of the tensor. | |
| """ | |
| tensor_shape.assert_has_rank(rank=4) | |
| return tensor_shape[1].value | |
| def get_width(tensor_shape): | |
| """Returns width from the tensor shape. | |
| Args: | |
| tensor_shape: A rank 4 TensorShape. | |
| Returns: | |
| An integer representing the width of the tensor. | |
| """ | |
| tensor_shape.assert_has_rank(rank=4) | |
| return tensor_shape[2].value | |
| def get_depth(tensor_shape): | |
| """Returns depth from the tensor shape. | |
| Args: | |
| tensor_shape: A rank 4 TensorShape. | |
| Returns: | |
| An integer representing the depth of the tensor. | |
| """ | |
| tensor_shape.assert_has_rank(rank=4) | |
| return tensor_shape[3].value | |