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| """Helper functions to access TensorShape values. |
| |
| The rank 4 tensor_shape must be of the form [batch_size, height, width, depth]. |
| """ |
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| 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 |
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| 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 |
|
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|
| 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 |
|
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|
| 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 |
|
|