0h |dZddlmcmZddlmZddlmZddl m Z ddl m Z dZ e dGd d eZy) zSoftmax activation layer.N)backend)Layer)tf_utils) keras_exportcd|tjk(rtjjdz Sy)aLarge negative number as Tensor. This function is necessary because the standard value for epsilon in this module (-1e9) cannot be represented using tf.float16 Args: tensor_type: a dtype to determine the type. Returns: a large negative number. g@ge)tffloat16min) tensor_types `/var/www/html/engine/venv/lib/python3.12/site-packages/tf_keras/src/layers/activation/softmax.py_large_compatible_negativer s&bjj zz~~## zkeras.layers.SoftmaxcZeZdZdZdfd ZddZfdZejdZ xZ S)Softmaxa Softmax activation function. Example without mask: >>> inp = np.asarray([[1., 2., 1.]]) >>> layer = tf.keras.layers.Softmax() >>> layer(inp).numpy() array([[0.21194157, 0.5761169 , 0.21194157]], dtype=float32) >>> mask = np.asarray([[True, False, True]], dtype=bool) >>> layer(inp, mask).numpy() array([[0.5, 0. , 0.5]], dtype=float32) Input shape: Arbitrary. Use the keyword argument `input_shape` (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model. Output shape: Same shape as the input. Args: axis: Integer, or list of Integers, axis along which the softmax normalization is applied. Call arguments: inputs: The inputs, or logits to the softmax layer. mask: A boolean mask of the same shape as `inputs`. The mask specifies 1 to keep and 0 to mask. Defaults to `None`. Returns: Softmaxed output with the same shape as `inputs`. c @t|di|d|_||_y)NT)super__init__supports_maskingaxis)selfrkwargs __class__s r rzSoftmax.__init__Ss" "6" $ rc|>dtj||jz t|jz}||z }t |j t tfrtt|j dkDr8tj|tj||j dz Stj||j dStj||j S)Ng?T)rkeepdimsr)r) rcastdtyper isinstancertuplelistlenexpreduce_logsumexprsoftmax)rinputsmaskadders r callz Softmax.callXs  277466*6<<8E eOF dii% /499~!vv))&tyy4PQ vDIIaLAAvDII66rcd|ji}t| }tt |j t |j zS)Nr)rr get_configdictr!items)rconfig base_configrs r r+zSoftmax.get_confignsG$))$g(* D**,-V\\^0DDEErc|SNr)r input_shapes r compute_output_shapezSoftmax.compute_output_shapessr)r1) __name__ __module__ __qualname____doc__rr)r+rshape_type_conversionr3 __classcell__)rs@r rr0s3B 7,F ##$rr)r8tensorflow.compat.v2compatv2r tf_keras.srcrtf_keras.src.engine.base_layerrtf_keras.src.utilsr tensorflow.python.util.tf_exportrr rrrr rBsI "! 0':($%DeD&Dr