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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
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