ijddlmZddlmZddlmZedGddZeddgGd d eZed d gGd deZeddgGddeZeddgGddeZ y))backend)ops) keras_exportzkeras.constraints.Constraintc,eZdZdZdZdZedZy) ConstraintaGBase class for weight constraints. A `Constraint` instance works like a stateless function. Users who subclass this class should override the `__call__()` method, which takes a single weight parameter and return a projected version of that parameter (e.g. normalized or clipped). Constraints can be used with various Keras layers via the `kernel_constraint` or `bias_constraint` arguments. Here's a simple example of a non-negative weight constraint: >>> class NonNegative(keras.constraints.Constraint): ... ... def __call__(self, w): ... return w * ops.cast(ops.greater_equal(w, 0.), dtype=w.dtype) >>> weight = ops.convert_to_tensor((-1.0, 1.0)) >>> NonNegative()(weight) [0., 1.] Usage in a layer: >>> keras.layers.Dense(4, kernel_constraint=NonNegative()) c|S)akApplies the constraint to the input weight variable. By default, the inputs weight variable is not modified. Users should override this method to implement their own projection function. Args: w: Input weight variable. Returns: Projected variable (by default, returns unmodified inputs). selfws v/var/www/html/emotional.easysim.app/public_html/venv/lib/python3.12/site-packages/keras/src/constraints/constraints.py__call__zConstraint.__call__!s ciS)aReturns a Python dict of the object config. A constraint config is a Python dictionary (JSON-serializable) that can be used to reinstantiate the same object. Returns: Python dict containing the configuration of the constraint object. r r s r get_configzConstraint.get_config0s  rc|di|S)aInstantiates a weight constraint from a configuration dictionary. Example: ```python constraint = UnitNorm() config = constraint.get_config() constraint = UnitNorm.from_config(config) ``` Args: config: A Python dictionary, the output of `get_config()`. Returns: A `keras.constraints.Constraint` instance. r r )clsconfigs r from_configzConstraint.from_config;s$}V}rN)__name__ __module__ __qualname____doc__rr classmethodrr rr rrs%2  rrzkeras.constraints.MaxNormzkeras.constraints.max_normc$eZdZdZddZdZdZy)MaxNormazMaxNorm weight constraint. Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value. Also available via the shortcut function `keras.constraints.max_norm`. Args: max_value: the maximum norm value for the incoming weights. axis: integer, axis along which to calculate weight norms. For instance, in a `Dense` layer the weight matrix has shape `(input_dim, output_dim)`, set `axis` to `0` to constrain each weight vector of length `(input_dim,)`. In a `Conv2D` layer with `data_format="channels_last"`, the weight tensor has shape `(rows, cols, input_depth, output_depth)`, set `axis` to `[0, 1, 2]` to constrain the weights of each filter tensor of size `(rows, cols, input_depth)`. c ||_||_yN max_valueaxis)r r!r"s r __init__zMaxNorm.__init__is" rcttj|}tjtjtj ||j d}tj|d|j}tj||j|tj|zz zS)NTr"keepdimsr) rconvert_to_tensorrsqrtsumsquarer"clipr!castdtypeepsilonr r normsdesireds r rzMaxNorm.__call__ms  % %a (ATYYNO((5!T^^4xx5;;' w(50 1  rc4|j|jdS)Nr r rs r rzMaxNorm.get_configus!^^TYY??rN)rrrrrr#rrr rr rrPs. @rrzkeras.constraints.NonNegzkeras.constraints.non_negceZdZdZdZy)NonNegz*Constrains the weights to be non-negative.cXtj|}tj|dS)Nr)rr'rmaximumr s r rzNonNeg.__call__}s#  % %a ({{1a  rN)rrrrrr rr r6r6ys 4!rr6zkeras.constraints.UnitNormzkeras.constraints.unit_normc$eZdZdZddZdZdZy)UnitNormaConstrains the weights incident to each hidden unit to have unit norm. Args: axis: integer, axis along which to calculate weight norms. For instance, in a `Dense` layer the weight matrix has shape `(input_dim, output_dim)`, set `axis` to `0` to constrain each weight vector of length `(input_dim,)`. In a `Conv2D` layer with `data_format="channels_last"`, the weight tensor has shape `(rows, cols, input_depth, output_depth)`, set `axis` to `[0, 1, 2]` to constrain the weights of each filter tensor of size `(rows, cols, input_depth)`. c||_yrr")r r"s r r#zUnitNorm.__init__s  rc,tj|}tjtjtj ||j d}tj||jtj|zz S)NTr%) rr'rr(r)r*r"r,r-r.)r r r0s r rzUnitNorm.__call__s_  % %a (ATYYNOxx5;;'7??+