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tf.required_space_to_batch_paddings

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Calculate padding required to make block_shape divide input_shape.

Aliases:

  • tf.compat.v1.required_space_to_batch_paddings
  • tf.compat.v2.required_space_to_batch_paddings
tf.required_space_to_batch_paddings(
    input_shape,
    block_shape,
    base_paddings=None,
    name=None
)

This function can be used to calculate a suitable paddings argument for use with space_to_batch_nd and batch_to_space_nd.

Args:

  • input_shape: int32 Tensor of shape [N].
  • block_shape: int32 Tensor of shape [N].
  • base_paddings: Optional int32 Tensor of shape [N, 2]. Specifies the minimum amount of padding to use. All elements must be >= 0. If not specified, defaults to 0.
  • name: string. Optional name prefix.

Returns:

(paddings, crops), where:

paddings and crops are int32 Tensors of rank 2 and shape [N, 2]

  • satisfying: paddings[i, 0] = base_paddings[i, 0]. 0 <= paddings[i, 1] - base_paddings[i, 1] < block_shapei % block_shape[i] == 0

    crops[i, 0] = 0 crops[i, 1] = paddings[i, 1] - base_paddings[i, 1]

Raises: ValueError if called with incompatible shapes.