tf.required_space_to_batch_paddings

Calculate padding required to make block_shape divide input_shape.

Compat aliases for migration

See Migration guide for more details.

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]

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.