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86 lines
2.1 KiB
86 lines
2.1 KiB
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Helper functions to access TensorShape values.
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The rank 4 tensor_shape must be of the form [batch_size, height, width, depth].
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"""
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def get_dim_as_int(dim):
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"""Utility to get v1 or v2 TensorShape dim as an int.
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Args:
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dim: The TensorShape dimension to get as an int
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Returns:
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None or an int.
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"""
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try:
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return dim.value
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except AttributeError:
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return dim
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def get_batch_size(tensor_shape):
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"""Returns batch size from the tensor shape.
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Args:
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tensor_shape: A rank 4 TensorShape.
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Returns:
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An integer representing the batch size of the tensor.
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"""
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tensor_shape.assert_has_rank(rank=4)
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return get_dim_as_int(tensor_shape[0])
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def get_height(tensor_shape):
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"""Returns height from the tensor shape.
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Args:
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tensor_shape: A rank 4 TensorShape.
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Returns:
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An integer representing the height of the tensor.
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"""
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tensor_shape.assert_has_rank(rank=4)
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return get_dim_as_int(tensor_shape[1])
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def get_width(tensor_shape):
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"""Returns width from the tensor shape.
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Args:
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tensor_shape: A rank 4 TensorShape.
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Returns:
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An integer representing the width of the tensor.
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"""
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tensor_shape.assert_has_rank(rank=4)
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return get_dim_as_int(tensor_shape[2])
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def get_depth(tensor_shape):
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"""Returns depth from the tensor shape.
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Args:
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tensor_shape: A rank 4 TensorShape.
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Returns:
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An integer representing the depth of the tensor.
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"""
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tensor_shape.assert_has_rank(rank=4)
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return get_dim_as_int(tensor_shape[3])
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