o ?en@s~dZddlZddlZddlZddlmZddlmZddlm Z ddl m Z dgZ dd Z d d Zd d ZddZddZdS)z/Utilities for slicing in to a `LinearOperator`.N)dtypes) tensor_util) array_ops)nest batch_slicecCsP|||g}dd|D}tdd|Dr!|\}}}t|||St|||S)NcSsg|]}t|qS)rconstant_value).0arre/home/www/facesmatcher.com/pyenv/lib/python3.10/site-packages/tensorflow/python/ops/linalg/slicing.py sz(_prefer_static_where..css|]}|duVqdSNr)r argrrr "sz'_prefer_static_where..)allnpwherer) conditionxyargsZ constant_argsZ condition_Zx_Zy_rrr _prefer_static_wheres  rc Cst|dr7i}|jD]\}}t||}t|tjt|d||||<q t |j fi|}t |di|St j |t j|gtjdgdd}t |t |t |S)z;Broadcasts `param` with the given batch shape, recursively.batch_shape_tensor) batch_shape)Zdtyper)ZaxisNr)hasattr-_experimental_parameter_ndims_to_matrix_ndimsitemsgetattrrmap_structure_up_to functoolspartial%_broadcast_parameter_with_batch_shapedict parameterstyperconcatZonesrZint32Z broadcast_toZbroadcast_dynamic_shapeshape) paramparam_ndims_to_matrix_ndimsr override_dictnameZndimsZ sub_paramr#Z base_shaperrr r!(s.   r!c Csg}d}|D]y}|tur-|dkrtd|tdd||tddD}| }nM|tjur3nG||||k}t|trp|j |j |j }} } |durUt |d|}| dur_t |d| } | durit |d| } t|| | }nt |d|}|d7}| |q|S)aRestricts slices to avoid overflowing size-1 (broadcast) dimensions. Args: slices: iterable of slices received by `__getitem__`. intended_shape: int `Tensor` shape for which the slices were intended. deficient_shape: int `Tensor` shape to which the slices will be applied. Must have the same rank as `intended_shape`. Returns: sanitized_slices: Python `list` of slice objects. rz!Found multiple `...` in slices {}css|]}|tjuVqdSr )rnewaxis)r srrr rPs  z#_sanitize_slices..N)Ellipsis ValueErrorformatsumindexrr+ isinstanceslicestartstopsteprappend) slicesintended_shapedeficient_shapeZsanitized_slicesidxslcZ num_remaining_non_newaxis_slicesZ is_broadcastr5r6r7rrr _sanitize_slices?s8        r>cCst||t|}t|dr|}nt|}t|}|d||}tt|dkr;tt|dkr;|St |||d}|dkr]t dd|DvrT| t |t dg|7}| t|S)aSlices into the batch shape of a single parameter. Args: param: The original parameter to slice; either a `Tensor` or an object with batch shape (LinearOperator). param_ndims_to_matrix_ndims: `int` number of right-most dimensions used for inferring matrix shape of the `LinearOperator`. For non-Tensor parameters, this is the number of this param's batch dimensions used by the matrix shape of the parent object. slices: iterable of slices received by `__getitem__`. batch_shape: The parameterized object's batch shape `Tensor`. Returns: new_param: Instance of the same type as `param`, batch-sliced according to `slices`. rNr)r:r;cSsg|] }t|s|qSr)rZ is_tensor)r r=rrr r s  z'_slice_single_param..)r!rZ ones_likerrr&sizerrr>r.r8r4 __getitem__tuple)r'r(r9rZparam_batch_shapeZparam_batch_rankZ param_slicesrrr _slice_single_paramis0       rBc Cst|tjjs |f}t|dkr|dturi}n)|}i}|jD]\}}t ||}|durAt |t j t||d||||<q$||t|jfi|}t|di|S)a[Slices `linop` along its batch dimensions. Args: linop: A `LinearOperator` instance. params_overrides: A `dict` of parameter overrides. slices: A `slice` or `int` or `int` `Tensor` or `tf.newaxis` or `tuple` thereof. (e.g. the argument of a `__getitem__` method). Returns: new_linop: A batch-sliced `LinearOperator`. r-rN)r9rr)r3 collectionsabcSequencelenr.rrrrrrrr rBupdater"r#r$) ZlinopZparams_overridesr9r)r param_namer(r'r#rrr rs&   )__doc__rCrnumpyrZtensorflow.python.frameworkrrZtensorflow.python.opsrZtensorflow.python.utilr__all__rr!r>rBrrrrr s     * 2