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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_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 tensor_shape[0].value |
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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 tensor_shape[1].value |
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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 tensor_shape[2].value |
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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 tensor_shape[3].value |
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