Import tensorflow

WebServer/AIPython/python/lib/python3.11/site-packages/keras/__init__.py

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+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras import _tf_keras as _tf_keras
+from keras import activations as activations
+from keras import applications as applications
+from keras import backend as backend
+from keras import callbacks as callbacks
+from keras import config as config
+from keras import constraints as constraints
+from keras import datasets as datasets
+from keras import distillation as distillation
+from keras import distribution as distribution
+from keras import dtype_policies as dtype_policies
+from keras import export as export
+from keras import initializers as initializers
+from keras import layers as layers
+from keras import legacy as legacy
+from keras import losses as losses
+from keras import metrics as metrics
+from keras import mixed_precision as mixed_precision
+from keras import models as models
+from keras import ops as ops
+from keras import optimizers as optimizers
+from keras import preprocessing as preprocessing
+from keras import quantizers as quantizers
+from keras import random as random
+from keras import regularizers as regularizers
+from keras import saving as saving
+from keras import tree as tree
+from keras import utils as utils
+from keras import visualization as visualization
+from keras import wrappers as wrappers
+from keras.src.backend import Variable as Variable
+from keras.src.backend import device as device
+from keras.src.backend import name_scope as name_scope
+from keras.src.backend.common.keras_tensor import KerasTensor as KerasTensor
+from keras.src.backend.common.remat import RematScope as RematScope
+from keras.src.backend.common.remat import remat as remat
+from keras.src.backend.common.stateless_scope import (
+    StatelessScope as StatelessScope,
+)
+from keras.src.backend.common.symbolic_scope import (
+    SymbolicScope as SymbolicScope,
+)
+from keras.src.dtype_policies.dtype_policy import DTypePolicy as DTypePolicy
+from keras.src.dtype_policies.dtype_policy import (
+    FloatDTypePolicy as FloatDTypePolicy,
+)
+from keras.src.initializers.initializer import Initializer as Initializer
+from keras.src.layers.core.input_layer import Input as Input
+from keras.src.layers.input_spec import InputSpec as InputSpec
+from keras.src.layers.layer import Layer as Layer
+from keras.src.losses.loss import Loss as Loss
+from keras.src.metrics.metric import Metric as Metric
+from keras.src.models.model import Model as Model
+from keras.src.models.sequential import Sequential as Sequential
+from keras.src.ops.function import Function as Function
+from keras.src.ops.operation import Operation as Operation
+from keras.src.optimizers.optimizer import Optimizer as Optimizer
+from keras.src.quantizers.quantizers import Quantizer as Quantizer
+from keras.src.regularizers.regularizers import Regularizer as Regularizer
+from keras.src.version import __version__ as __version__
+from keras.src.version import version as version

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/__init__.py

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+from keras._tf_keras import keras

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/__init__.py

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+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras import activations as activations
+from keras import applications as applications
+from keras import callbacks as callbacks
+from keras import config as config
+from keras import constraints as constraints
+from keras import datasets as datasets
+from keras import distillation as distillation
+from keras import distribution as distribution
+from keras import dtype_policies as dtype_policies
+from keras import export as export
+from keras import initializers as initializers
+from keras import legacy as legacy
+from keras import mixed_precision as mixed_precision
+from keras import models as models
+from keras import ops as ops
+from keras import optimizers as optimizers
+from keras import quantizers as quantizers
+from keras import random as random
+from keras import regularizers as regularizers
+from keras import tree as tree
+from keras import utils as utils
+from keras import visualization as visualization
+from keras import wrappers as wrappers
+from keras._tf_keras.keras import backend as backend
+from keras._tf_keras.keras import layers as layers
+from keras._tf_keras.keras import losses as losses
+from keras._tf_keras.keras import metrics as metrics
+from keras._tf_keras.keras import preprocessing as preprocessing
+from keras.src.backend import Variable as Variable
+from keras.src.backend import device as device
+from keras.src.backend import name_scope as name_scope
+from keras.src.backend.common.keras_tensor import KerasTensor as KerasTensor
+from keras.src.backend.common.remat import RematScope as RematScope
+from keras.src.backend.common.remat import remat as remat
+from keras.src.backend.common.stateless_scope import (
+    StatelessScope as StatelessScope,
+)
+from keras.src.backend.common.symbolic_scope import (
+    SymbolicScope as SymbolicScope,
+)
+from keras.src.dtype_policies.dtype_policy import DTypePolicy as DTypePolicy
+from keras.src.dtype_policies.dtype_policy import (
+    FloatDTypePolicy as FloatDTypePolicy,
+)
+from keras.src.initializers.initializer import Initializer as Initializer
+from keras.src.layers.core.input_layer import Input as Input
+from keras.src.layers.input_spec import InputSpec as InputSpec
+from keras.src.layers.layer import Layer as Layer
+from keras.src.losses.loss import Loss as Loss
+from keras.src.metrics.metric import Metric as Metric
+from keras.src.models.model import Model as Model
+from keras.src.models.sequential import Sequential as Sequential
+from keras.src.ops.function import Function as Function
+from keras.src.ops.operation import Operation as Operation
+from keras.src.optimizers.optimizer import Optimizer as Optimizer
+from keras.src.quantizers.quantizers import Quantizer as Quantizer
+from keras.src.regularizers.regularizers import Regularizer as Regularizer
+from keras.src.version import __version__ as __version__
+from keras.src.version import version as version

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/activations/__init__.py

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+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.activations import deserialize as deserialize
+from keras.src.activations import get as get
+from keras.src.activations import serialize as serialize
+from keras.src.activations.activations import celu as celu
+from keras.src.activations.activations import elu as elu
+from keras.src.activations.activations import exponential as exponential
+from keras.src.activations.activations import gelu as gelu
+from keras.src.activations.activations import glu as glu
+from keras.src.activations.activations import hard_shrink as hard_shrink
+from keras.src.activations.activations import hard_sigmoid as hard_sigmoid
+from keras.src.activations.activations import hard_silu as hard_silu
+from keras.src.activations.activations import hard_silu as hard_swish
+from keras.src.activations.activations import hard_tanh as hard_tanh
+from keras.src.activations.activations import leaky_relu as leaky_relu
+from keras.src.activations.activations import linear as linear
+from keras.src.activations.activations import log_sigmoid as log_sigmoid
+from keras.src.activations.activations import log_softmax as log_softmax
+from keras.src.activations.activations import mish as mish
+from keras.src.activations.activations import relu as relu
+from keras.src.activations.activations import relu6 as relu6
+from keras.src.activations.activations import selu as selu
+from keras.src.activations.activations import sigmoid as sigmoid
+from keras.src.activations.activations import silu as silu
+from keras.src.activations.activations import silu as swish
+from keras.src.activations.activations import soft_shrink as soft_shrink
+from keras.src.activations.activations import softmax as softmax
+from keras.src.activations.activations import softplus as softplus
+from keras.src.activations.activations import softsign as softsign
+from keras.src.activations.activations import sparse_plus as sparse_plus
+from keras.src.activations.activations import sparse_sigmoid as sparse_sigmoid
+from keras.src.activations.activations import sparsemax as sparsemax
+from keras.src.activations.activations import squareplus as squareplus
+from keras.src.activations.activations import tanh as tanh
+from keras.src.activations.activations import tanh_shrink as tanh_shrink
+from keras.src.activations.activations import threshold as threshold

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/__init__.py

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+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.applications import convnext as convnext
+from keras.applications import densenet as densenet
+from keras.applications import efficientnet as efficientnet
+from keras.applications import efficientnet_v2 as efficientnet_v2
+from keras.applications import imagenet_utils as imagenet_utils
+from keras.applications import inception_resnet_v2 as inception_resnet_v2
+from keras.applications import inception_v3 as inception_v3
+from keras.applications import mobilenet as mobilenet
+from keras.applications import mobilenet_v2 as mobilenet_v2
+from keras.applications import mobilenet_v3 as mobilenet_v3
+from keras.applications import nasnet as nasnet
+from keras.applications import resnet as resnet
+from keras.applications import resnet50 as resnet50
+from keras.applications import resnet_v2 as resnet_v2
+from keras.applications import vgg16 as vgg16
+from keras.applications import vgg19 as vgg19
+from keras.applications import xception as xception
+from keras.src.applications.convnext import ConvNeXtBase as ConvNeXtBase
+from keras.src.applications.convnext import ConvNeXtLarge as ConvNeXtLarge
+from keras.src.applications.convnext import ConvNeXtSmall as ConvNeXtSmall
+from keras.src.applications.convnext import ConvNeXtTiny as ConvNeXtTiny
+from keras.src.applications.convnext import ConvNeXtXLarge as ConvNeXtXLarge
+from keras.src.applications.densenet import DenseNet121 as DenseNet121
+from keras.src.applications.densenet import DenseNet169 as DenseNet169
+from keras.src.applications.densenet import DenseNet201 as DenseNet201
+from keras.src.applications.efficientnet import EfficientNetB0 as EfficientNetB0
+from keras.src.applications.efficientnet import EfficientNetB1 as EfficientNetB1
+from keras.src.applications.efficientnet import EfficientNetB2 as EfficientNetB2
+from keras.src.applications.efficientnet import EfficientNetB3 as EfficientNetB3
+from keras.src.applications.efficientnet import EfficientNetB4 as EfficientNetB4
+from keras.src.applications.efficientnet import EfficientNetB5 as EfficientNetB5
+from keras.src.applications.efficientnet import EfficientNetB6 as EfficientNetB6
+from keras.src.applications.efficientnet import EfficientNetB7 as EfficientNetB7
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B0 as EfficientNetV2B0,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B1 as EfficientNetV2B1,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B2 as EfficientNetV2B2,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B3 as EfficientNetV2B3,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2L as EfficientNetV2L,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2M as EfficientNetV2M,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2S as EfficientNetV2S,
+)
+from keras.src.applications.inception_resnet_v2 import (
+    InceptionResNetV2 as InceptionResNetV2,
+)
+from keras.src.applications.inception_v3 import InceptionV3 as InceptionV3
+from keras.src.applications.mobilenet import MobileNet as MobileNet
+from keras.src.applications.mobilenet_v2 import MobileNetV2 as MobileNetV2
+from keras.src.applications.mobilenet_v3 import (
+    MobileNetV3Large as MobileNetV3Large,
+)
+from keras.src.applications.mobilenet_v3 import (
+    MobileNetV3Small as MobileNetV3Small,
+)
+from keras.src.applications.nasnet import NASNetLarge as NASNetLarge
+from keras.src.applications.nasnet import NASNetMobile as NASNetMobile
+from keras.src.applications.resnet import ResNet50 as ResNet50
+from keras.src.applications.resnet import ResNet101 as ResNet101
+from keras.src.applications.resnet import ResNet152 as ResNet152
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
+from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
+from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.vgg16 import VGG16 as VGG16
+from keras.src.applications.vgg19 import VGG19 as VGG19
+from keras.src.applications.xception import Xception as Xception

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/convnext/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.convnext import ConvNeXtBase as ConvNeXtBase
+from keras.src.applications.convnext import ConvNeXtLarge as ConvNeXtLarge
+from keras.src.applications.convnext import ConvNeXtSmall as ConvNeXtSmall
+from keras.src.applications.convnext import ConvNeXtTiny as ConvNeXtTiny
+from keras.src.applications.convnext import ConvNeXtXLarge as ConvNeXtXLarge
+from keras.src.applications.convnext import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.convnext import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/densenet/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.densenet import DenseNet121 as DenseNet121
+from keras.src.applications.densenet import DenseNet169 as DenseNet169
+from keras.src.applications.densenet import DenseNet201 as DenseNet201
+from keras.src.applications.densenet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.densenet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/efficientnet/__init__.py

@@ -0,0 +1,20 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.efficientnet import EfficientNetB0 as EfficientNetB0
+from keras.src.applications.efficientnet import EfficientNetB1 as EfficientNetB1
+from keras.src.applications.efficientnet import EfficientNetB2 as EfficientNetB2
+from keras.src.applications.efficientnet import EfficientNetB3 as EfficientNetB3
+from keras.src.applications.efficientnet import EfficientNetB4 as EfficientNetB4
+from keras.src.applications.efficientnet import EfficientNetB5 as EfficientNetB5
+from keras.src.applications.efficientnet import EfficientNetB6 as EfficientNetB6
+from keras.src.applications.efficientnet import EfficientNetB7 as EfficientNetB7
+from keras.src.applications.efficientnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.efficientnet import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/efficientnet_v2/__init__.py

@@ -0,0 +1,33 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B0 as EfficientNetV2B0,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B1 as EfficientNetV2B1,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B2 as EfficientNetV2B2,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B3 as EfficientNetV2B3,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2L as EfficientNetV2L,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2M as EfficientNetV2M,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2S as EfficientNetV2S,
+)
+from keras.src.applications.efficientnet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.efficientnet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/imagenet_utils/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.imagenet_utils import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.imagenet_utils import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/inception_resnet_v2/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.inception_resnet_v2 import (
+    InceptionResNetV2 as InceptionResNetV2,
+)
+from keras.src.applications.inception_resnet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.inception_resnet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/inception_v3/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.inception_v3 import InceptionV3 as InceptionV3
+from keras.src.applications.inception_v3 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.inception_v3 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/mobilenet/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.mobilenet import MobileNet as MobileNet
+from keras.src.applications.mobilenet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.mobilenet import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/mobilenet_v2/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.mobilenet_v2 import MobileNetV2 as MobileNetV2
+from keras.src.applications.mobilenet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.mobilenet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/mobilenet_v3/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.mobilenet_v3 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.mobilenet_v3 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/nasnet/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.nasnet import NASNetLarge as NASNetLarge
+from keras.src.applications.nasnet import NASNetMobile as NASNetMobile
+from keras.src.applications.nasnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.nasnet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/resnet/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.resnet import ResNet50 as ResNet50
+from keras.src.applications.resnet import ResNet101 as ResNet101
+from keras.src.applications.resnet import ResNet152 as ResNet152
+from keras.src.applications.resnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.resnet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/resnet50/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.resnet import ResNet50 as ResNet50
+from keras.src.applications.resnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.resnet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/resnet_v2/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
+from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
+from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.resnet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.resnet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/vgg16/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.vgg16 import VGG16 as VGG16
+from keras.src.applications.vgg16 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.vgg16 import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/vgg19/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.vgg19 import VGG19 as VGG19
+from keras.src.applications.vgg19 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.vgg19 import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/applications/xception/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.xception import Xception as Xception
+from keras.src.applications.xception import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.xception import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/backend/__init__.py

@@ -0,0 +1,165 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.backend.common.dtypes import result_type as result_type
+from keras.src.backend.common.global_state import clear_session as clear_session
+from keras.src.backend.common.keras_tensor import (
+    is_keras_tensor as is_keras_tensor,
+)
+from keras.src.backend.common.variables import is_float_dtype as is_float_dtype
+from keras.src.backend.common.variables import is_int_dtype as is_int_dtype
+from keras.src.backend.common.variables import (
+    standardize_dtype as standardize_dtype,
+)
+from keras.src.backend.config import backend as backend
+from keras.src.backend.config import epsilon as epsilon
+from keras.src.backend.config import floatx as floatx
+from keras.src.backend.config import image_data_format as image_data_format
+from keras.src.backend.config import set_epsilon as set_epsilon
+from keras.src.backend.config import set_floatx as set_floatx
+from keras.src.backend.config import (
+    set_image_data_format as set_image_data_format,
+)
+from keras.src.legacy.backend import abs as abs
+from keras.src.legacy.backend import all as all
+from keras.src.legacy.backend import any as any
+from keras.src.legacy.backend import arange as arange
+from keras.src.legacy.backend import argmax as argmax
+from keras.src.legacy.backend import argmin as argmin
+from keras.src.legacy.backend import batch_dot as batch_dot
+from keras.src.legacy.backend import batch_flatten as batch_flatten
+from keras.src.legacy.backend import batch_get_value as batch_get_value
+from keras.src.legacy.backend import batch_normalization as batch_normalization
+from keras.src.legacy.backend import batch_set_value as batch_set_value
+from keras.src.legacy.backend import bias_add as bias_add
+from keras.src.legacy.backend import binary_crossentropy as binary_crossentropy
+from keras.src.legacy.backend import (
+    binary_focal_crossentropy as binary_focal_crossentropy,
+)
+from keras.src.legacy.backend import cast as cast
+from keras.src.legacy.backend import cast_to_floatx as cast_to_floatx
+from keras.src.legacy.backend import (
+    categorical_crossentropy as categorical_crossentropy,
+)
+from keras.src.legacy.backend import (
+    categorical_focal_crossentropy as categorical_focal_crossentropy,
+)
+from keras.src.legacy.backend import clip as clip
+from keras.src.legacy.backend import concatenate as concatenate
+from keras.src.legacy.backend import constant as constant
+from keras.src.legacy.backend import conv1d as conv1d
+from keras.src.legacy.backend import conv2d as conv2d
+from keras.src.legacy.backend import conv2d_transpose as conv2d_transpose
+from keras.src.legacy.backend import conv3d as conv3d
+from keras.src.legacy.backend import cos as cos
+from keras.src.legacy.backend import count_params as count_params
+from keras.src.legacy.backend import ctc_batch_cost as ctc_batch_cost
+from keras.src.legacy.backend import ctc_decode as ctc_decode
+from keras.src.legacy.backend import (
+    ctc_label_dense_to_sparse as ctc_label_dense_to_sparse,
+)
+from keras.src.legacy.backend import cumprod as cumprod
+from keras.src.legacy.backend import cumsum as cumsum
+from keras.src.legacy.backend import depthwise_conv2d as depthwise_conv2d
+from keras.src.legacy.backend import dot as dot
+from keras.src.legacy.backend import dropout as dropout
+from keras.src.legacy.backend import dtype as dtype
+from keras.src.legacy.backend import elu as elu
+from keras.src.legacy.backend import equal as equal
+from keras.src.legacy.backend import eval as eval
+from keras.src.legacy.backend import exp as exp
+from keras.src.legacy.backend import expand_dims as expand_dims
+from keras.src.legacy.backend import eye as eye
+from keras.src.legacy.backend import flatten as flatten
+from keras.src.legacy.backend import foldl as foldl
+from keras.src.legacy.backend import foldr as foldr
+from keras.src.legacy.backend import gather as gather
+from keras.src.legacy.backend import get_value as get_value
+from keras.src.legacy.backend import gradients as gradients
+from keras.src.legacy.backend import greater as greater
+from keras.src.legacy.backend import greater_equal as greater_equal
+from keras.src.legacy.backend import hard_sigmoid as hard_sigmoid
+from keras.src.legacy.backend import in_top_k as in_top_k
+from keras.src.legacy.backend import int_shape as int_shape
+from keras.src.legacy.backend import is_sparse as is_sparse
+from keras.src.legacy.backend import l2_normalize as l2_normalize
+from keras.src.legacy.backend import less as less
+from keras.src.legacy.backend import less_equal as less_equal
+from keras.src.legacy.backend import log as log
+from keras.src.legacy.backend import map_fn as map_fn
+from keras.src.legacy.backend import max as max
+from keras.src.legacy.backend import maximum as maximum
+from keras.src.legacy.backend import mean as mean
+from keras.src.legacy.backend import min as min
+from keras.src.legacy.backend import minimum as minimum
+from keras.src.legacy.backend import (
+    moving_average_update as moving_average_update,
+)
+from keras.src.legacy.backend import name_scope as name_scope
+from keras.src.legacy.backend import ndim as ndim
+from keras.src.legacy.backend import not_equal as not_equal
+from keras.src.legacy.backend import one_hot as one_hot
+from keras.src.legacy.backend import ones as ones
+from keras.src.legacy.backend import ones_like as ones_like
+from keras.src.legacy.backend import permute_dimensions as permute_dimensions
+from keras.src.legacy.backend import pool2d as pool2d
+from keras.src.legacy.backend import pool3d as pool3d
+from keras.src.legacy.backend import pow as pow
+from keras.src.legacy.backend import prod as prod
+from keras.src.legacy.backend import random_bernoulli as random_bernoulli
+from keras.src.legacy.backend import random_normal as random_normal
+from keras.src.legacy.backend import (
+    random_normal_variable as random_normal_variable,
+)
+from keras.src.legacy.backend import random_uniform as random_uniform
+from keras.src.legacy.backend import (
+    random_uniform_variable as random_uniform_variable,
+)
+from keras.src.legacy.backend import relu as relu
+from keras.src.legacy.backend import repeat as repeat
+from keras.src.legacy.backend import repeat_elements as repeat_elements
+from keras.src.legacy.backend import reshape as reshape
+from keras.src.legacy.backend import resize_images as resize_images
+from keras.src.legacy.backend import resize_volumes as resize_volumes
+from keras.src.legacy.backend import reverse as reverse
+from keras.src.legacy.backend import rnn as rnn
+from keras.src.legacy.backend import round as round
+from keras.src.legacy.backend import separable_conv2d as separable_conv2d
+from keras.src.legacy.backend import set_value as set_value
+from keras.src.legacy.backend import shape as shape
+from keras.src.legacy.backend import sigmoid as sigmoid
+from keras.src.legacy.backend import sign as sign
+from keras.src.legacy.backend import sin as sin
+from keras.src.legacy.backend import softmax as softmax
+from keras.src.legacy.backend import softplus as softplus
+from keras.src.legacy.backend import softsign as softsign
+from keras.src.legacy.backend import (
+    sparse_categorical_crossentropy as sparse_categorical_crossentropy,
+)
+from keras.src.legacy.backend import spatial_2d_padding as spatial_2d_padding
+from keras.src.legacy.backend import spatial_3d_padding as spatial_3d_padding
+from keras.src.legacy.backend import sqrt as sqrt
+from keras.src.legacy.backend import square as square
+from keras.src.legacy.backend import squeeze as squeeze
+from keras.src.legacy.backend import stack as stack
+from keras.src.legacy.backend import std as std
+from keras.src.legacy.backend import stop_gradient as stop_gradient
+from keras.src.legacy.backend import sum as sum
+from keras.src.legacy.backend import switch as switch
+from keras.src.legacy.backend import tanh as tanh
+from keras.src.legacy.backend import temporal_padding as temporal_padding
+from keras.src.legacy.backend import tile as tile
+from keras.src.legacy.backend import to_dense as to_dense
+from keras.src.legacy.backend import transpose as transpose
+from keras.src.legacy.backend import truncated_normal as truncated_normal
+from keras.src.legacy.backend import update as update
+from keras.src.legacy.backend import update_add as update_add
+from keras.src.legacy.backend import update_sub as update_sub
+from keras.src.legacy.backend import var as var
+from keras.src.legacy.backend import variable as variable
+from keras.src.legacy.backend import zeros as zeros
+from keras.src.legacy.backend import zeros_like as zeros_like
+from keras.src.utils.naming import get_uid as get_uid

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/callbacks/__init__.py

@@ -0,0 +1,33 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.callbacks.backup_and_restore import (
+    BackupAndRestore as BackupAndRestore,
+)
+from keras.src.callbacks.callback import Callback as Callback
+from keras.src.callbacks.callback_list import CallbackList as CallbackList
+from keras.src.callbacks.csv_logger import CSVLogger as CSVLogger
+from keras.src.callbacks.early_stopping import EarlyStopping as EarlyStopping
+from keras.src.callbacks.history import History as History
+from keras.src.callbacks.lambda_callback import LambdaCallback as LambdaCallback
+from keras.src.callbacks.learning_rate_scheduler import (
+    LearningRateScheduler as LearningRateScheduler,
+)
+from keras.src.callbacks.model_checkpoint import (
+    ModelCheckpoint as ModelCheckpoint,
+)
+from keras.src.callbacks.progbar_logger import ProgbarLogger as ProgbarLogger
+from keras.src.callbacks.reduce_lr_on_plateau import (
+    ReduceLROnPlateau as ReduceLROnPlateau,
+)
+from keras.src.callbacks.remote_monitor import RemoteMonitor as RemoteMonitor
+from keras.src.callbacks.swap_ema_weights import (
+    SwapEMAWeights as SwapEMAWeights,
+)
+from keras.src.callbacks.tensorboard import TensorBoard as TensorBoard
+from keras.src.callbacks.terminate_on_nan import (
+    TerminateOnNaN as TerminateOnNaN,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/config/__init__.py

@@ -0,0 +1,57 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.backend.config import backend as backend
+from keras.src.backend.config import (
+    disable_flash_attention as disable_flash_attention,
+)
+from keras.src.backend.config import (
+    enable_flash_attention as enable_flash_attention,
+)
+from keras.src.backend.config import epsilon as epsilon
+from keras.src.backend.config import floatx as floatx
+from keras.src.backend.config import image_data_format as image_data_format
+from keras.src.backend.config import (
+    is_flash_attention_enabled as is_flash_attention_enabled,
+)
+from keras.src.backend.config import is_nnx_enabled as is_nnx_enabled
+from keras.src.backend.config import max_epochs as max_epochs
+from keras.src.backend.config import max_steps_per_epoch as max_steps_per_epoch
+from keras.src.backend.config import set_epsilon as set_epsilon
+from keras.src.backend.config import set_floatx as set_floatx
+from keras.src.backend.config import (
+    set_image_data_format as set_image_data_format,
+)
+from keras.src.backend.config import set_max_epochs as set_max_epochs
+from keras.src.backend.config import (
+    set_max_steps_per_epoch as set_max_steps_per_epoch,
+)
+from keras.src.dtype_policies.dtype_policy import dtype_policy as dtype_policy
+from keras.src.dtype_policies.dtype_policy import (
+    set_dtype_policy as set_dtype_policy,
+)
+from keras.src.saving.serialization_lib import (
+    enable_unsafe_deserialization as enable_unsafe_deserialization,
+)
+from keras.src.utils.backend_utils import set_backend as set_backend
+from keras.src.utils.io_utils import (
+    disable_interactive_logging as disable_interactive_logging,
+)
+from keras.src.utils.io_utils import (
+    enable_interactive_logging as enable_interactive_logging,
+)
+from keras.src.utils.io_utils import (
+    is_interactive_logging_enabled as is_interactive_logging_enabled,
+)
+from keras.src.utils.traceback_utils import (
+    disable_traceback_filtering as disable_traceback_filtering,
+)
+from keras.src.utils.traceback_utils import (
+    enable_traceback_filtering as enable_traceback_filtering,
+)
+from keras.src.utils.traceback_utils import (
+    is_traceback_filtering_enabled as is_traceback_filtering_enabled,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/constraints/__init__.py

@@ -0,0 +1,18 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.constraints import deserialize as deserialize
+from keras.src.constraints import get as get
+from keras.src.constraints import serialize as serialize
+from keras.src.constraints.constraints import Constraint as Constraint
+from keras.src.constraints.constraints import MaxNorm as MaxNorm
+from keras.src.constraints.constraints import MaxNorm as max_norm
+from keras.src.constraints.constraints import MinMaxNorm as MinMaxNorm
+from keras.src.constraints.constraints import MinMaxNorm as min_max_norm
+from keras.src.constraints.constraints import NonNeg as NonNeg
+from keras.src.constraints.constraints import NonNeg as non_neg
+from keras.src.constraints.constraints import UnitNorm as UnitNorm
+from keras.src.constraints.constraints import UnitNorm as unit_norm

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/__init__.py

@@ -0,0 +1,14 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.datasets import boston_housing as boston_housing
+from keras.datasets import california_housing as california_housing
+from keras.datasets import cifar10 as cifar10
+from keras.datasets import cifar100 as cifar100
+from keras.datasets import fashion_mnist as fashion_mnist
+from keras.datasets import imdb as imdb
+from keras.datasets import mnist as mnist
+from keras.datasets import reuters as reuters

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/boston_housing/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.boston_housing import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/california_housing/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.california_housing import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/cifar10/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.cifar10 import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/cifar100/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.cifar100 import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/fashion_mnist/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.fashion_mnist import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/imdb/__init__.py

@@ -0,0 +1,8 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.imdb import get_word_index as get_word_index
+from keras.src.datasets.imdb import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/mnist/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.mnist import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/datasets/reuters/__init__.py

@@ -0,0 +1,9 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.reuters import get_label_names as get_label_names
+from keras.src.datasets.reuters import get_word_index as get_word_index
+from keras.src.datasets.reuters import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/distillation/__init__.py

@@ -0,0 +1,16 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.distillation.distillation_loss import (
+    DistillationLoss as DistillationLoss,
+)
+from keras.src.distillation.distillation_loss import (
+    FeatureDistillation as FeatureDistillation,
+)
+from keras.src.distillation.distillation_loss import (
+    LogitsDistillation as LogitsDistillation,
+)
+from keras.src.distillation.distiller import Distiller as Distiller

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/distribution/__init__.py

@@ -0,0 +1,25 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.distribution.distribution_lib import DataParallel as DataParallel
+from keras.src.distribution.distribution_lib import DeviceMesh as DeviceMesh
+from keras.src.distribution.distribution_lib import LayoutMap as LayoutMap
+from keras.src.distribution.distribution_lib import (
+    ModelParallel as ModelParallel,
+)
+from keras.src.distribution.distribution_lib import TensorLayout as TensorLayout
+from keras.src.distribution.distribution_lib import (
+    distribute_tensor as distribute_tensor,
+)
+from keras.src.distribution.distribution_lib import distribution as distribution
+from keras.src.distribution.distribution_lib import (
+    get_device_count as get_device_count,
+)
+from keras.src.distribution.distribution_lib import initialize as initialize
+from keras.src.distribution.distribution_lib import list_devices as list_devices
+from keras.src.distribution.distribution_lib import (
+    set_distribution as set_distribution,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/dtype_policies/__init__.py

@@ -0,0 +1,25 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.dtype_policies import deserialize as deserialize
+from keras.src.dtype_policies import get as get
+from keras.src.dtype_policies import serialize as serialize
+from keras.src.dtype_policies.dtype_policy import DTypePolicy as DTypePolicy
+from keras.src.dtype_policies.dtype_policy import (
+    FloatDTypePolicy as FloatDTypePolicy,
+)
+from keras.src.dtype_policies.dtype_policy import (
+    GPTQDTypePolicy as GPTQDTypePolicy,
+)
+from keras.src.dtype_policies.dtype_policy import (
+    QuantizedDTypePolicy as QuantizedDTypePolicy,
+)
+from keras.src.dtype_policies.dtype_policy import (
+    QuantizedFloat8DTypePolicy as QuantizedFloat8DTypePolicy,
+)
+from keras.src.dtype_policies.dtype_policy_map import (
+    DTypePolicyMap as DTypePolicyMap,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/export/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.export.saved_model import ExportArchive as ExportArchive

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/initializers/__init__.py

@@ -0,0 +1,81 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.initializers import deserialize as deserialize
+from keras.src.initializers import get as get
+from keras.src.initializers import serialize as serialize
+from keras.src.initializers.constant_initializers import STFT as STFT
+from keras.src.initializers.constant_initializers import STFT as STFTInitializer
+from keras.src.initializers.constant_initializers import STFT as stft
+from keras.src.initializers.constant_initializers import Constant as Constant
+from keras.src.initializers.constant_initializers import Constant as constant
+from keras.src.initializers.constant_initializers import Identity as Identity
+from keras.src.initializers.constant_initializers import (
+    Identity as IdentityInitializer,
+)
+from keras.src.initializers.constant_initializers import Identity as identity
+from keras.src.initializers.constant_initializers import Ones as Ones
+from keras.src.initializers.constant_initializers import Ones as ones
+from keras.src.initializers.constant_initializers import Zeros as Zeros
+from keras.src.initializers.constant_initializers import Zeros as zeros
+from keras.src.initializers.initializer import Initializer as Initializer
+from keras.src.initializers.random_initializers import (
+    GlorotNormal as GlorotNormal,
+)
+from keras.src.initializers.random_initializers import (
+    GlorotNormal as glorot_normal,
+)
+from keras.src.initializers.random_initializers import (
+    GlorotUniform as GlorotUniform,
+)
+from keras.src.initializers.random_initializers import (
+    GlorotUniform as glorot_uniform,
+)
+from keras.src.initializers.random_initializers import HeNormal as HeNormal
+from keras.src.initializers.random_initializers import HeNormal as he_normal
+from keras.src.initializers.random_initializers import HeUniform as HeUniform
+from keras.src.initializers.random_initializers import HeUniform as he_uniform
+from keras.src.initializers.random_initializers import (
+    LecunNormal as LecunNormal,
+)
+from keras.src.initializers.random_initializers import (
+    LecunNormal as lecun_normal,
+)
+from keras.src.initializers.random_initializers import (
+    LecunUniform as LecunUniform,
+)
+from keras.src.initializers.random_initializers import (
+    LecunUniform as lecun_uniform,
+)
+from keras.src.initializers.random_initializers import Orthogonal as Orthogonal
+from keras.src.initializers.random_initializers import (
+    Orthogonal as OrthogonalInitializer,
+)
+from keras.src.initializers.random_initializers import Orthogonal as orthogonal
+from keras.src.initializers.random_initializers import (
+    RandomNormal as RandomNormal,
+)
+from keras.src.initializers.random_initializers import (
+    RandomNormal as random_normal,
+)
+from keras.src.initializers.random_initializers import (
+    RandomUniform as RandomUniform,
+)
+from keras.src.initializers.random_initializers import (
+    RandomUniform as random_uniform,
+)
+from keras.src.initializers.random_initializers import (
+    TruncatedNormal as TruncatedNormal,
+)
+from keras.src.initializers.random_initializers import (
+    TruncatedNormal as truncated_normal,
+)
+from keras.src.initializers.random_initializers import (
+    VarianceScaling as VarianceScaling,
+)
+from keras.src.initializers.random_initializers import (
+    VarianceScaling as variance_scaling,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/layers/__init__.py

@@ -0,0 +1,383 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.export.tfsm_layer import TFSMLayer as TFSMLayer
+from keras.src.layers import deserialize as deserialize
+from keras.src.layers import serialize as serialize
+from keras.src.layers.activations.activation import Activation as Activation
+from keras.src.layers.activations.elu import ELU as ELU
+from keras.src.layers.activations.leaky_relu import LeakyReLU as LeakyReLU
+from keras.src.layers.activations.prelu import PReLU as PReLU
+from keras.src.layers.activations.relu import ReLU as ReLU
+from keras.src.layers.activations.softmax import Softmax as Softmax
+from keras.src.layers.attention.additive_attention import (
+    AdditiveAttention as AdditiveAttention,
+)
+from keras.src.layers.attention.attention import Attention as Attention
+from keras.src.layers.attention.grouped_query_attention import (
+    GroupedQueryAttention as GroupQueryAttention,
+)
+from keras.src.layers.attention.multi_head_attention import (
+    MultiHeadAttention as MultiHeadAttention,
+)
+from keras.src.layers.convolutional.conv1d import Conv1D as Conv1D
+from keras.src.layers.convolutional.conv1d import Conv1D as Convolution1D
+from keras.src.layers.convolutional.conv1d_transpose import (
+    Conv1DTranspose as Conv1DTranspose,
+)
+from keras.src.layers.convolutional.conv1d_transpose import (
+    Conv1DTranspose as Convolution1DTranspose,
+)
+from keras.src.layers.convolutional.conv2d import Conv2D as Conv2D
+from keras.src.layers.convolutional.conv2d import Conv2D as Convolution2D
+from keras.src.layers.convolutional.conv2d_transpose import (
+    Conv2DTranspose as Conv2DTranspose,
+)
+from keras.src.layers.convolutional.conv2d_transpose import (
+    Conv2DTranspose as Convolution2DTranspose,
+)
+from keras.src.layers.convolutional.conv3d import Conv3D as Conv3D
+from keras.src.layers.convolutional.conv3d import Conv3D as Convolution3D
+from keras.src.layers.convolutional.conv3d_transpose import (
+    Conv3DTranspose as Conv3DTranspose,
+)
+from keras.src.layers.convolutional.conv3d_transpose import (
+    Conv3DTranspose as Convolution3DTranspose,
+)
+from keras.src.layers.convolutional.depthwise_conv1d import (
+    DepthwiseConv1D as DepthwiseConv1D,
+)
+from keras.src.layers.convolutional.depthwise_conv2d import (
+    DepthwiseConv2D as DepthwiseConv2D,
+)
+from keras.src.layers.convolutional.separable_conv1d import (
+    SeparableConv1D as SeparableConv1D,
+)
+from keras.src.layers.convolutional.separable_conv1d import (
+    SeparableConv1D as SeparableConvolution1D,
+)
+from keras.src.layers.convolutional.separable_conv2d import (
+    SeparableConv2D as SeparableConv2D,
+)
+from keras.src.layers.convolutional.separable_conv2d import (
+    SeparableConv2D as SeparableConvolution2D,
+)
+from keras.src.layers.core.dense import Dense as Dense
+from keras.src.layers.core.einsum_dense import EinsumDense as EinsumDense
+from keras.src.layers.core.embedding import Embedding as Embedding
+from keras.src.layers.core.identity import Identity as Identity
+from keras.src.layers.core.input_layer import Input as Input
+from keras.src.layers.core.input_layer import InputLayer as InputLayer
+from keras.src.layers.core.lambda_layer import Lambda as Lambda
+from keras.src.layers.core.masking import Masking as Masking
+from keras.src.layers.core.reversible_embedding import (
+    ReversibleEmbedding as ReversibleEmbedding,
+)
+from keras.src.layers.core.wrapper import Wrapper as Wrapper
+from keras.src.layers.input_spec import InputSpec as InputSpec
+from keras.src.layers.layer import Layer as Layer
+from keras.src.layers.merging.add import Add as Add
+from keras.src.layers.merging.add import add as add
+from keras.src.layers.merging.average import Average as Average
+from keras.src.layers.merging.average import average as average
+from keras.src.layers.merging.concatenate import Concatenate as Concatenate
+from keras.src.layers.merging.concatenate import concatenate as concatenate
+from keras.src.layers.merging.dot import Dot as Dot
+from keras.src.layers.merging.dot import dot as dot
+from keras.src.layers.merging.maximum import Maximum as Maximum
+from keras.src.layers.merging.maximum import maximum as maximum
+from keras.src.layers.merging.minimum import Minimum as Minimum
+from keras.src.layers.merging.minimum import minimum as minimum
+from keras.src.layers.merging.multiply import Multiply as Multiply
+from keras.src.layers.merging.multiply import multiply as multiply
+from keras.src.layers.merging.subtract import Subtract as Subtract
+from keras.src.layers.merging.subtract import subtract as subtract
+from keras.src.layers.normalization.batch_normalization import (
+    BatchNormalization as BatchNormalization,
+)
+from keras.src.layers.normalization.group_normalization import (
+    GroupNormalization as GroupNormalization,
+)
+from keras.src.layers.normalization.layer_normalization import (
+    LayerNormalization as LayerNormalization,
+)
+from keras.src.layers.normalization.rms_normalization import (
+    RMSNormalization as RMSNormalization,
+)
+from keras.src.layers.normalization.spectral_normalization import (
+    SpectralNormalization as SpectralNormalization,
+)
+from keras.src.layers.normalization.unit_normalization import (
+    UnitNormalization as UnitNormalization,
+)
+from keras.src.layers.pooling.adaptive_average_pooling1d import (
+    AdaptiveAveragePooling1D as AdaptiveAveragePooling1D,
+)
+from keras.src.layers.pooling.adaptive_average_pooling2d import (
+    AdaptiveAveragePooling2D as AdaptiveAveragePooling2D,
+)
+from keras.src.layers.pooling.adaptive_average_pooling3d import (
+    AdaptiveAveragePooling3D as AdaptiveAveragePooling3D,
+)
+from keras.src.layers.pooling.adaptive_max_pooling1d import (
+    AdaptiveMaxPooling1D as AdaptiveMaxPooling1D,
+)
+from keras.src.layers.pooling.adaptive_max_pooling2d import (
+    AdaptiveMaxPooling2D as AdaptiveMaxPooling2D,
+)
+from keras.src.layers.pooling.adaptive_max_pooling3d import (
+    AdaptiveMaxPooling3D as AdaptiveMaxPooling3D,
+)
+from keras.src.layers.pooling.average_pooling1d import (
+    AveragePooling1D as AveragePooling1D,
+)
+from keras.src.layers.pooling.average_pooling1d import (
+    AveragePooling1D as AvgPool1D,
+)
+from keras.src.layers.pooling.average_pooling2d import (
+    AveragePooling2D as AveragePooling2D,
+)
+from keras.src.layers.pooling.average_pooling2d import (
+    AveragePooling2D as AvgPool2D,
+)
+from keras.src.layers.pooling.average_pooling3d import (
+    AveragePooling3D as AveragePooling3D,
+)
+from keras.src.layers.pooling.average_pooling3d import (
+    AveragePooling3D as AvgPool3D,
+)
+from keras.src.layers.pooling.global_average_pooling1d import (
+    GlobalAveragePooling1D as GlobalAveragePooling1D,
+)
+from keras.src.layers.pooling.global_average_pooling1d import (
+    GlobalAveragePooling1D as GlobalAvgPool1D,
+)
+from keras.src.layers.pooling.global_average_pooling2d import (
+    GlobalAveragePooling2D as GlobalAveragePooling2D,
+)
+from keras.src.layers.pooling.global_average_pooling2d import (
+    GlobalAveragePooling2D as GlobalAvgPool2D,
+)
+from keras.src.layers.pooling.global_average_pooling3d import (
+    GlobalAveragePooling3D as GlobalAveragePooling3D,
+)
+from keras.src.layers.pooling.global_average_pooling3d import (
+    GlobalAveragePooling3D as GlobalAvgPool3D,
+)
+from keras.src.layers.pooling.global_max_pooling1d import (
+    GlobalMaxPooling1D as GlobalMaxPool1D,
+)
+from keras.src.layers.pooling.global_max_pooling1d import (
+    GlobalMaxPooling1D as GlobalMaxPooling1D,
+)
+from keras.src.layers.pooling.global_max_pooling2d import (
+    GlobalMaxPooling2D as GlobalMaxPool2D,
+)
+from keras.src.layers.pooling.global_max_pooling2d import (
+    GlobalMaxPooling2D as GlobalMaxPooling2D,
+)
+from keras.src.layers.pooling.global_max_pooling3d import (
+    GlobalMaxPooling3D as GlobalMaxPool3D,
+)
+from keras.src.layers.pooling.global_max_pooling3d import (
+    GlobalMaxPooling3D as GlobalMaxPooling3D,
+)
+from keras.src.layers.pooling.max_pooling1d import MaxPooling1D as MaxPool1D
+from keras.src.layers.pooling.max_pooling1d import MaxPooling1D as MaxPooling1D
+from keras.src.layers.pooling.max_pooling2d import MaxPooling2D as MaxPool2D
+from keras.src.layers.pooling.max_pooling2d import MaxPooling2D as MaxPooling2D
+from keras.src.layers.pooling.max_pooling3d import MaxPooling3D as MaxPool3D
+from keras.src.layers.pooling.max_pooling3d import MaxPooling3D as MaxPooling3D
+from keras.src.layers.preprocessing.category_encoding import (
+    CategoryEncoding as CategoryEncoding,
+)
+from keras.src.layers.preprocessing.discretization import (
+    Discretization as Discretization,
+)
+from keras.src.layers.preprocessing.hashed_crossing import (
+    HashedCrossing as HashedCrossing,
+)
+from keras.src.layers.preprocessing.hashing import Hashing as Hashing
+from keras.src.layers.preprocessing.image_preprocessing.aug_mix import (
+    AugMix as AugMix,
+)
+from keras.src.layers.preprocessing.image_preprocessing.auto_contrast import (
+    AutoContrast as AutoContrast,
+)
+from keras.src.layers.preprocessing.image_preprocessing.center_crop import (
+    CenterCrop as CenterCrop,
+)
+from keras.src.layers.preprocessing.image_preprocessing.cut_mix import (
+    CutMix as CutMix,
+)
+from keras.src.layers.preprocessing.image_preprocessing.equalization import (
+    Equalization as Equalization,
+)
+from keras.src.layers.preprocessing.image_preprocessing.max_num_bounding_box import (
+    MaxNumBoundingBoxes as MaxNumBoundingBoxes,
+)
+from keras.src.layers.preprocessing.image_preprocessing.mix_up import (
+    MixUp as MixUp,
+)
+from keras.src.layers.preprocessing.image_preprocessing.rand_augment import (
+    RandAugment as RandAugment,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_brightness import (
+    RandomBrightness as RandomBrightness,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_color_degeneration import (
+    RandomColorDegeneration as RandomColorDegeneration,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_color_jitter import (
+    RandomColorJitter as RandomColorJitter,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_contrast import (
+    RandomContrast as RandomContrast,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_crop import (
+    RandomCrop as RandomCrop,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_elastic_transform import (
+    RandomElasticTransform as RandomElasticTransform,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_erasing import (
+    RandomErasing as RandomErasing,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_flip import (
+    RandomFlip as RandomFlip,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_gaussian_blur import (
+    RandomGaussianBlur as RandomGaussianBlur,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_grayscale import (
+    RandomGrayscale as RandomGrayscale,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_hue import (
+    RandomHue as RandomHue,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_invert import (
+    RandomInvert as RandomInvert,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_perspective import (
+    RandomPerspective as RandomPerspective,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_posterization import (
+    RandomPosterization as RandomPosterization,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_rotation import (
+    RandomRotation as RandomRotation,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_saturation import (
+    RandomSaturation as RandomSaturation,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_sharpness import (
+    RandomSharpness as RandomSharpness,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_shear import (
+    RandomShear as RandomShear,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_translation import (
+    RandomTranslation as RandomTranslation,
+)
+from keras.src.layers.preprocessing.image_preprocessing.random_zoom import (
+    RandomZoom as RandomZoom,
+)
+from keras.src.layers.preprocessing.image_preprocessing.resizing import (
+    Resizing as Resizing,
+)
+from keras.src.layers.preprocessing.image_preprocessing.solarization import (
+    Solarization as Solarization,
+)
+from keras.src.layers.preprocessing.integer_lookup import (
+    IntegerLookup as IntegerLookup,
+)
+from keras.src.layers.preprocessing.mel_spectrogram import (
+    MelSpectrogram as MelSpectrogram,
+)
+from keras.src.layers.preprocessing.normalization import (
+    Normalization as Normalization,
+)
+from keras.src.layers.preprocessing.pipeline import Pipeline as Pipeline
+from keras.src.layers.preprocessing.rescaling import Rescaling as Rescaling
+from keras.src.layers.preprocessing.stft_spectrogram import (
+    STFTSpectrogram as STFTSpectrogram,
+)
+from keras.src.layers.preprocessing.string_lookup import (
+    StringLookup as StringLookup,
+)
+from keras.src.layers.preprocessing.text_vectorization import (
+    TextVectorization as TextVectorization,
+)
+from keras.src.layers.regularization.activity_regularization import (
+    ActivityRegularization as ActivityRegularization,
+)
+from keras.src.layers.regularization.dropout import Dropout as Dropout
+from keras.src.layers.regularization.gaussian_dropout import (
+    GaussianDropout as GaussianDropout,
+)
+from keras.src.layers.regularization.gaussian_noise import (
+    GaussianNoise as GaussianNoise,
+)
+from keras.src.layers.regularization.spatial_dropout import (
+    SpatialDropout1D as SpatialDropout1D,
+)
+from keras.src.layers.regularization.spatial_dropout import (
+    SpatialDropout2D as SpatialDropout2D,
+)
+from keras.src.layers.regularization.spatial_dropout import (
+    SpatialDropout3D as SpatialDropout3D,
+)
+from keras.src.layers.reshaping.cropping1d import Cropping1D as Cropping1D
+from keras.src.layers.reshaping.cropping2d import Cropping2D as Cropping2D
+from keras.src.layers.reshaping.cropping3d import Cropping3D as Cropping3D
+from keras.src.layers.reshaping.flatten import Flatten as Flatten
+from keras.src.layers.reshaping.permute import Permute as Permute
+from keras.src.layers.reshaping.repeat_vector import (
+    RepeatVector as RepeatVector,
+)
+from keras.src.layers.reshaping.reshape import Reshape as Reshape
+from keras.src.layers.reshaping.up_sampling1d import (
+    UpSampling1D as UpSampling1D,
+)
+from keras.src.layers.reshaping.up_sampling2d import (
+    UpSampling2D as UpSampling2D,
+)
+from keras.src.layers.reshaping.up_sampling3d import (
+    UpSampling3D as UpSampling3D,
+)
+from keras.src.layers.reshaping.zero_padding1d import (
+    ZeroPadding1D as ZeroPadding1D,
+)
+from keras.src.layers.reshaping.zero_padding2d import (
+    ZeroPadding2D as ZeroPadding2D,
+)
+from keras.src.layers.reshaping.zero_padding3d import (
+    ZeroPadding3D as ZeroPadding3D,
+)
+from keras.src.layers.rnn.bidirectional import Bidirectional as Bidirectional
+from keras.src.layers.rnn.conv_lstm1d import ConvLSTM1D as ConvLSTM1D
+from keras.src.layers.rnn.conv_lstm2d import ConvLSTM2D as ConvLSTM2D
+from keras.src.layers.rnn.conv_lstm3d import ConvLSTM3D as ConvLSTM3D
+from keras.src.layers.rnn.gru import GRU as GRU
+from keras.src.layers.rnn.gru import GRUCell as GRUCell
+from keras.src.layers.rnn.lstm import LSTM as LSTM
+from keras.src.layers.rnn.lstm import LSTMCell as LSTMCell
+from keras.src.layers.rnn.rnn import RNN as RNN
+from keras.src.layers.rnn.simple_rnn import SimpleRNN as SimpleRNN
+from keras.src.layers.rnn.simple_rnn import SimpleRNNCell as SimpleRNNCell
+from keras.src.layers.rnn.stacked_rnn_cells import (
+    StackedRNNCells as StackedRNNCells,
+)
+from keras.src.layers.rnn.time_distributed import (
+    TimeDistributed as TimeDistributed,
+)
+from keras.src.legacy.layers import AlphaDropout as AlphaDropout
+from keras.src.legacy.layers import RandomHeight as RandomHeight
+from keras.src.legacy.layers import RandomWidth as RandomWidth
+from keras.src.legacy.layers import ThresholdedReLU as ThresholdedReLU
+from keras.src.utils.jax_layer import FlaxLayer as FlaxLayer
+from keras.src.utils.jax_layer import JaxLayer as JaxLayer
+from keras.src.utils.torch_utils import TorchModuleWrapper as TorchModuleWrapper

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/legacy/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.legacy import saving as saving

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/legacy/saving/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.legacy.saving.serialization import (
+    deserialize_keras_object as deserialize_keras_object,
+)
+from keras.src.legacy.saving.serialization import (
+    serialize_keras_object as serialize_keras_object,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/losses/__init__.py

@@ -0,0 +1,85 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.legacy.losses import Reduction as Reduction
+from keras.src.losses import deserialize as deserialize
+from keras.src.losses import get as get
+from keras.src.losses import serialize as serialize
+from keras.src.losses.loss import Loss as Loss
+from keras.src.losses.losses import CTC as CTC
+from keras.src.losses.losses import BinaryCrossentropy as BinaryCrossentropy
+from keras.src.losses.losses import (
+    BinaryFocalCrossentropy as BinaryFocalCrossentropy,
+)
+from keras.src.losses.losses import (
+    CategoricalCrossentropy as CategoricalCrossentropy,
+)
+from keras.src.losses.losses import (
+    CategoricalFocalCrossentropy as CategoricalFocalCrossentropy,
+)
+from keras.src.losses.losses import (
+    CategoricalGeneralizedCrossEntropy as CategoricalGeneralizedCrossEntropy,
+)
+from keras.src.losses.losses import CategoricalHinge as CategoricalHinge
+from keras.src.losses.losses import Circle as Circle
+from keras.src.losses.losses import CosineSimilarity as CosineSimilarity
+from keras.src.losses.losses import Dice as Dice
+from keras.src.losses.losses import Hinge as Hinge
+from keras.src.losses.losses import Huber as Huber
+from keras.src.losses.losses import KLDivergence as KLDivergence
+from keras.src.losses.losses import LogCosh as LogCosh
+from keras.src.losses.losses import MeanAbsoluteError as MeanAbsoluteError
+from keras.src.losses.losses import (
+    MeanAbsolutePercentageError as MeanAbsolutePercentageError,
+)
+from keras.src.losses.losses import MeanSquaredError as MeanSquaredError
+from keras.src.losses.losses import (
+    MeanSquaredLogarithmicError as MeanSquaredLogarithmicError,
+)
+from keras.src.losses.losses import Poisson as Poisson
+from keras.src.losses.losses import (
+    SparseCategoricalCrossentropy as SparseCategoricalCrossentropy,
+)
+from keras.src.losses.losses import SquaredHinge as SquaredHinge
+from keras.src.losses.losses import Tversky as Tversky
+from keras.src.losses.losses import binary_crossentropy as binary_crossentropy
+from keras.src.losses.losses import (
+    binary_focal_crossentropy as binary_focal_crossentropy,
+)
+from keras.src.losses.losses import (
+    categorical_crossentropy as categorical_crossentropy,
+)
+from keras.src.losses.losses import (
+    categorical_focal_crossentropy as categorical_focal_crossentropy,
+)
+from keras.src.losses.losses import (
+    categorical_generalized_cross_entropy as categorical_generalized_cross_entropy,
+)
+from keras.src.losses.losses import categorical_hinge as categorical_hinge
+from keras.src.losses.losses import circle as circle
+from keras.src.losses.losses import cosine_similarity as cosine_similarity
+from keras.src.losses.losses import ctc as ctc
+from keras.src.losses.losses import dice as dice
+from keras.src.losses.losses import hinge as hinge
+from keras.src.losses.losses import huber as huber
+from keras.src.losses.losses import kl_divergence as KLD
+from keras.src.losses.losses import kl_divergence as kld
+from keras.src.losses.losses import kl_divergence as kullback_leibler_divergence
+from keras.src.losses.losses import log_cosh as logcosh
+from keras.src.losses.losses import mean_absolute_error as MAE
+from keras.src.losses.losses import mean_absolute_error as mae
+from keras.src.losses.losses import mean_absolute_percentage_error as MAPE
+from keras.src.losses.losses import mean_absolute_percentage_error as mape
+from keras.src.losses.losses import mean_squared_error as MSE
+from keras.src.losses.losses import mean_squared_error as mse
+from keras.src.losses.losses import mean_squared_logarithmic_error as MSLE
+from keras.src.losses.losses import mean_squared_logarithmic_error as msle
+from keras.src.losses.losses import poisson as poisson
+from keras.src.losses.losses import (
+    sparse_categorical_crossentropy as sparse_categorical_crossentropy,
+)
+from keras.src.losses.losses import squared_hinge as squared_hinge
+from keras.src.losses.losses import tversky as tversky

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/metrics/__init__.py

@@ -0,0 +1,146 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.losses.losses import binary_crossentropy as binary_crossentropy
+from keras.src.losses.losses import (
+    binary_focal_crossentropy as binary_focal_crossentropy,
+)
+from keras.src.losses.losses import (
+    categorical_crossentropy as categorical_crossentropy,
+)
+from keras.src.losses.losses import (
+    categorical_focal_crossentropy as categorical_focal_crossentropy,
+)
+from keras.src.losses.losses import categorical_hinge as categorical_hinge
+from keras.src.losses.losses import hinge as hinge
+from keras.src.losses.losses import huber as huber
+from keras.src.losses.losses import kl_divergence as KLD
+from keras.src.losses.losses import kl_divergence as kld
+from keras.src.losses.losses import kl_divergence as kullback_leibler_divergence
+from keras.src.losses.losses import log_cosh as logcosh
+from keras.src.losses.losses import mean_absolute_error as MAE
+from keras.src.losses.losses import mean_absolute_error as mae
+from keras.src.losses.losses import mean_absolute_percentage_error as MAPE
+from keras.src.losses.losses import mean_absolute_percentage_error as mape
+from keras.src.losses.losses import mean_squared_error as MSE
+from keras.src.losses.losses import mean_squared_error as mse
+from keras.src.losses.losses import mean_squared_logarithmic_error as MSLE
+from keras.src.losses.losses import mean_squared_logarithmic_error as msle
+from keras.src.losses.losses import poisson as poisson
+from keras.src.losses.losses import (
+    sparse_categorical_crossentropy as sparse_categorical_crossentropy,
+)
+from keras.src.losses.losses import squared_hinge as squared_hinge
+from keras.src.metrics import deserialize as deserialize
+from keras.src.metrics import get as get
+from keras.src.metrics import serialize as serialize
+from keras.src.metrics.accuracy_metrics import Accuracy as Accuracy
+from keras.src.metrics.accuracy_metrics import BinaryAccuracy as BinaryAccuracy
+from keras.src.metrics.accuracy_metrics import (
+    CategoricalAccuracy as CategoricalAccuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    SparseCategoricalAccuracy as SparseCategoricalAccuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    SparseTopKCategoricalAccuracy as SparseTopKCategoricalAccuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    TopKCategoricalAccuracy as TopKCategoricalAccuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    binary_accuracy as binary_accuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    categorical_accuracy as categorical_accuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    sparse_categorical_accuracy as sparse_categorical_accuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    sparse_top_k_categorical_accuracy as sparse_top_k_categorical_accuracy,
+)
+from keras.src.metrics.accuracy_metrics import (
+    top_k_categorical_accuracy as top_k_categorical_accuracy,
+)
+from keras.src.metrics.confusion_metrics import AUC as AUC
+from keras.src.metrics.confusion_metrics import FalseNegatives as FalseNegatives
+from keras.src.metrics.confusion_metrics import FalsePositives as FalsePositives
+from keras.src.metrics.confusion_metrics import Precision as Precision
+from keras.src.metrics.confusion_metrics import (
+    PrecisionAtRecall as PrecisionAtRecall,
+)
+from keras.src.metrics.confusion_metrics import Recall as Recall
+from keras.src.metrics.confusion_metrics import (
+    RecallAtPrecision as RecallAtPrecision,
+)
+from keras.src.metrics.confusion_metrics import (
+    SensitivityAtSpecificity as SensitivityAtSpecificity,
+)
+from keras.src.metrics.confusion_metrics import (
+    SpecificityAtSensitivity as SpecificityAtSensitivity,
+)
+from keras.src.metrics.confusion_metrics import TrueNegatives as TrueNegatives
+from keras.src.metrics.confusion_metrics import TruePositives as TruePositives
+from keras.src.metrics.correlation_metrics import (
+    ConcordanceCorrelation as ConcordanceCorrelation,
+)
+from keras.src.metrics.correlation_metrics import (
+    PearsonCorrelation as PearsonCorrelation,
+)
+from keras.src.metrics.correlation_metrics import (
+    concordance_correlation as concordance_correlation,
+)
+from keras.src.metrics.correlation_metrics import (
+    pearson_correlation as pearson_correlation,
+)
+from keras.src.metrics.f_score_metrics import F1Score as F1Score
+from keras.src.metrics.f_score_metrics import FBetaScore as FBetaScore
+from keras.src.metrics.hinge_metrics import CategoricalHinge as CategoricalHinge
+from keras.src.metrics.hinge_metrics import Hinge as Hinge
+from keras.src.metrics.hinge_metrics import SquaredHinge as SquaredHinge
+from keras.src.metrics.iou_metrics import BinaryIoU as BinaryIoU
+from keras.src.metrics.iou_metrics import IoU as IoU
+from keras.src.metrics.iou_metrics import MeanIoU as MeanIoU
+from keras.src.metrics.iou_metrics import OneHotIoU as OneHotIoU
+from keras.src.metrics.iou_metrics import OneHotMeanIoU as OneHotMeanIoU
+from keras.src.metrics.metric import Metric as Metric
+from keras.src.metrics.probabilistic_metrics import (
+    BinaryCrossentropy as BinaryCrossentropy,
+)
+from keras.src.metrics.probabilistic_metrics import (
+    CategoricalCrossentropy as CategoricalCrossentropy,
+)
+from keras.src.metrics.probabilistic_metrics import KLDivergence as KLDivergence
+from keras.src.metrics.probabilistic_metrics import Poisson as Poisson
+from keras.src.metrics.probabilistic_metrics import (
+    SparseCategoricalCrossentropy as SparseCategoricalCrossentropy,
+)
+from keras.src.metrics.reduction_metrics import Mean as Mean
+from keras.src.metrics.reduction_metrics import (
+    MeanMetricWrapper as MeanMetricWrapper,
+)
+from keras.src.metrics.reduction_metrics import Sum as Sum
+from keras.src.metrics.regression_metrics import (
+    CosineSimilarity as CosineSimilarity,
+)
+from keras.src.metrics.regression_metrics import LogCoshError as LogCoshError
+from keras.src.metrics.regression_metrics import (
+    MeanAbsoluteError as MeanAbsoluteError,
+)
+from keras.src.metrics.regression_metrics import (
+    MeanAbsolutePercentageError as MeanAbsolutePercentageError,
+)
+from keras.src.metrics.regression_metrics import (
+    MeanSquaredError as MeanSquaredError,
+)
+from keras.src.metrics.regression_metrics import (
+    MeanSquaredLogarithmicError as MeanSquaredLogarithmicError,
+)
+from keras.src.metrics.regression_metrics import R2Score as R2Score
+from keras.src.metrics.regression_metrics import (
+    RootMeanSquaredError as RootMeanSquaredError,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/mixed_precision/__init__.py

@@ -0,0 +1,19 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.dtype_policies.dtype_policy import DTypePolicy as DTypePolicy
+from keras.src.dtype_policies.dtype_policy import DTypePolicy as Policy
+from keras.src.dtype_policies.dtype_policy import dtype_policy as dtype_policy
+from keras.src.dtype_policies.dtype_policy import dtype_policy as global_policy
+from keras.src.dtype_policies.dtype_policy import (
+    set_dtype_policy as set_dtype_policy,
+)
+from keras.src.dtype_policies.dtype_policy import (
+    set_dtype_policy as set_global_policy,
+)
+from keras.src.optimizers.loss_scale_optimizer import (
+    LossScaleOptimizer as LossScaleOptimizer,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/models/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.models.cloning import clone_model as clone_model
+from keras.src.models.model import Model as Model
+from keras.src.models.model import model_from_json as model_from_json
+from keras.src.models.sequential import Sequential as Sequential
+from keras.src.saving.saving_api import load_model as load_model
+from keras.src.saving.saving_api import save_model as save_model

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/ops/__init__.py

@@ -0,0 +1,309 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.ops import image as image
+from keras.ops import linalg as linalg
+from keras.ops import nn as nn
+from keras.ops import numpy as numpy
+from keras.src.ops.core import associative_scan as associative_scan
+from keras.src.ops.core import cast as cast
+from keras.src.ops.core import cond as cond
+from keras.src.ops.core import convert_to_numpy as convert_to_numpy
+from keras.src.ops.core import convert_to_tensor as convert_to_tensor
+from keras.src.ops.core import custom_gradient as custom_gradient
+from keras.src.ops.core import dtype as dtype
+from keras.src.ops.core import fori_loop as fori_loop
+from keras.src.ops.core import is_tensor as is_tensor
+from keras.src.ops.core import map as map
+from keras.src.ops.core import saturate_cast as saturate_cast
+from keras.src.ops.core import scan as scan
+from keras.src.ops.core import scatter as scatter
+from keras.src.ops.core import scatter_update as scatter_update
+from keras.src.ops.core import shape as shape
+from keras.src.ops.core import slice as slice
+from keras.src.ops.core import slice_update as slice_update
+from keras.src.ops.core import stop_gradient as stop_gradient
+from keras.src.ops.core import switch as switch
+from keras.src.ops.core import unstack as unstack
+from keras.src.ops.core import vectorized_map as vectorized_map
+from keras.src.ops.core import while_loop as while_loop
+from keras.src.ops.einops import rearrange as rearrange
+from keras.src.ops.linalg import cholesky as cholesky
+from keras.src.ops.linalg import cholesky_inverse as cholesky_inverse
+from keras.src.ops.linalg import det as det
+from keras.src.ops.linalg import eig as eig
+from keras.src.ops.linalg import eigh as eigh
+from keras.src.ops.linalg import inv as inv
+from keras.src.ops.linalg import jvp as jvp
+from keras.src.ops.linalg import lstsq as lstsq
+from keras.src.ops.linalg import lu_factor as lu_factor
+from keras.src.ops.linalg import norm as norm
+from keras.src.ops.linalg import qr as qr
+from keras.src.ops.linalg import solve as solve
+from keras.src.ops.linalg import solve_triangular as solve_triangular
+from keras.src.ops.linalg import svd as svd
+from keras.src.ops.math import erf as erf
+from keras.src.ops.math import erfinv as erfinv
+from keras.src.ops.math import extract_sequences as extract_sequences
+from keras.src.ops.math import fft as fft
+from keras.src.ops.math import fft2 as fft2
+from keras.src.ops.math import ifft2 as ifft2
+from keras.src.ops.math import in_top_k as in_top_k
+from keras.src.ops.math import irfft as irfft
+from keras.src.ops.math import istft as istft
+from keras.src.ops.math import logdet as logdet
+from keras.src.ops.math import logsumexp as logsumexp
+from keras.src.ops.math import rfft as rfft
+from keras.src.ops.math import rsqrt as rsqrt
+from keras.src.ops.math import segment_max as segment_max
+from keras.src.ops.math import segment_sum as segment_sum
+from keras.src.ops.math import stft as stft
+from keras.src.ops.math import top_k as top_k
+from keras.src.ops.math import view_as_complex as view_as_complex
+from keras.src.ops.math import view_as_real as view_as_real
+from keras.src.ops.nn import adaptive_average_pool as adaptive_average_pool
+from keras.src.ops.nn import adaptive_max_pool as adaptive_max_pool
+from keras.src.ops.nn import average_pool as average_pool
+from keras.src.ops.nn import batch_normalization as batch_normalization
+from keras.src.ops.nn import binary_crossentropy as binary_crossentropy
+from keras.src.ops.nn import (
+    categorical_crossentropy as categorical_crossentropy,
+)
+from keras.src.ops.nn import celu as celu
+from keras.src.ops.nn import conv as conv
+from keras.src.ops.nn import conv_transpose as conv_transpose
+from keras.src.ops.nn import ctc_decode as ctc_decode
+from keras.src.ops.nn import ctc_loss as ctc_loss
+from keras.src.ops.nn import depthwise_conv as depthwise_conv
+from keras.src.ops.nn import dot_product_attention as dot_product_attention
+from keras.src.ops.nn import elu as elu
+from keras.src.ops.nn import gelu as gelu
+from keras.src.ops.nn import glu as glu
+from keras.src.ops.nn import hard_shrink as hard_shrink
+from keras.src.ops.nn import hard_sigmoid as hard_sigmoid
+from keras.src.ops.nn import hard_silu as hard_silu
+from keras.src.ops.nn import hard_silu as hard_swish
+from keras.src.ops.nn import hard_tanh as hard_tanh
+from keras.src.ops.nn import layer_normalization as layer_normalization
+from keras.src.ops.nn import leaky_relu as leaky_relu
+from keras.src.ops.nn import log_sigmoid as log_sigmoid
+from keras.src.ops.nn import log_softmax as log_softmax
+from keras.src.ops.nn import max_pool as max_pool
+from keras.src.ops.nn import moments as moments
+from keras.src.ops.nn import multi_hot as multi_hot
+from keras.src.ops.nn import normalize as normalize
+from keras.src.ops.nn import one_hot as one_hot
+from keras.src.ops.nn import polar as polar
+from keras.src.ops.nn import psnr as psnr
+from keras.src.ops.nn import relu as relu
+from keras.src.ops.nn import relu6 as relu6
+from keras.src.ops.nn import rms_normalization as rms_normalization
+from keras.src.ops.nn import selu as selu
+from keras.src.ops.nn import separable_conv as separable_conv
+from keras.src.ops.nn import sigmoid as sigmoid
+from keras.src.ops.nn import silu as silu
+from keras.src.ops.nn import silu as swish
+from keras.src.ops.nn import soft_shrink as soft_shrink
+from keras.src.ops.nn import softmax as softmax
+from keras.src.ops.nn import softplus as softplus
+from keras.src.ops.nn import softsign as softsign
+from keras.src.ops.nn import (
+    sparse_categorical_crossentropy as sparse_categorical_crossentropy,
+)
+from keras.src.ops.nn import sparse_plus as sparse_plus
+from keras.src.ops.nn import sparse_sigmoid as sparse_sigmoid
+from keras.src.ops.nn import sparsemax as sparsemax
+from keras.src.ops.nn import squareplus as squareplus
+from keras.src.ops.nn import tanh_shrink as tanh_shrink
+from keras.src.ops.nn import threshold as threshold
+from keras.src.ops.nn import unfold as unfold
+from keras.src.ops.numpy import abs as abs
+from keras.src.ops.numpy import absolute as absolute
+from keras.src.ops.numpy import add as add
+from keras.src.ops.numpy import all as all
+from keras.src.ops.numpy import amax as amax
+from keras.src.ops.numpy import amin as amin
+from keras.src.ops.numpy import angle as angle
+from keras.src.ops.numpy import any as any
+from keras.src.ops.numpy import append as append
+from keras.src.ops.numpy import arange as arange
+from keras.src.ops.numpy import arccos as arccos
+from keras.src.ops.numpy import arccosh as arccosh
+from keras.src.ops.numpy import arcsin as arcsin
+from keras.src.ops.numpy import arcsinh as arcsinh
+from keras.src.ops.numpy import arctan as arctan
+from keras.src.ops.numpy import arctan2 as arctan2
+from keras.src.ops.numpy import arctanh as arctanh
+from keras.src.ops.numpy import argmax as argmax
+from keras.src.ops.numpy import argmin as argmin
+from keras.src.ops.numpy import argpartition as argpartition
+from keras.src.ops.numpy import argsort as argsort
+from keras.src.ops.numpy import array as array
+from keras.src.ops.numpy import array_split as array_split
+from keras.src.ops.numpy import average as average
+from keras.src.ops.numpy import bartlett as bartlett
+from keras.src.ops.numpy import bincount as bincount
+from keras.src.ops.numpy import bitwise_and as bitwise_and
+from keras.src.ops.numpy import bitwise_invert as bitwise_invert
+from keras.src.ops.numpy import bitwise_left_shift as bitwise_left_shift
+from keras.src.ops.numpy import bitwise_not as bitwise_not
+from keras.src.ops.numpy import bitwise_or as bitwise_or
+from keras.src.ops.numpy import bitwise_right_shift as bitwise_right_shift
+from keras.src.ops.numpy import bitwise_xor as bitwise_xor
+from keras.src.ops.numpy import blackman as blackman
+from keras.src.ops.numpy import broadcast_to as broadcast_to
+from keras.src.ops.numpy import cbrt as cbrt
+from keras.src.ops.numpy import ceil as ceil
+from keras.src.ops.numpy import clip as clip
+from keras.src.ops.numpy import concatenate as concatenate
+from keras.src.ops.numpy import conj as conj
+from keras.src.ops.numpy import conjugate as conjugate
+from keras.src.ops.numpy import copy as copy
+from keras.src.ops.numpy import corrcoef as corrcoef
+from keras.src.ops.numpy import correlate as correlate
+from keras.src.ops.numpy import cos as cos
+from keras.src.ops.numpy import cosh as cosh
+from keras.src.ops.numpy import count_nonzero as count_nonzero
+from keras.src.ops.numpy import cross as cross
+from keras.src.ops.numpy import cumprod as cumprod
+from keras.src.ops.numpy import cumsum as cumsum
+from keras.src.ops.numpy import deg2rad as deg2rad
+from keras.src.ops.numpy import diag as diag
+from keras.src.ops.numpy import diagflat as diagflat
+from keras.src.ops.numpy import diagonal as diagonal
+from keras.src.ops.numpy import diff as diff
+from keras.src.ops.numpy import digitize as digitize
+from keras.src.ops.numpy import divide as divide
+from keras.src.ops.numpy import divide_no_nan as divide_no_nan
+from keras.src.ops.numpy import dot as dot
+from keras.src.ops.numpy import einsum as einsum
+from keras.src.ops.numpy import empty as empty
+from keras.src.ops.numpy import empty_like as empty_like
+from keras.src.ops.numpy import equal as equal
+from keras.src.ops.numpy import exp as exp
+from keras.src.ops.numpy import exp2 as exp2
+from keras.src.ops.numpy import expand_dims as expand_dims
+from keras.src.ops.numpy import expm1 as expm1
+from keras.src.ops.numpy import eye as eye
+from keras.src.ops.numpy import flip as flip
+from keras.src.ops.numpy import floor as floor
+from keras.src.ops.numpy import floor_divide as floor_divide
+from keras.src.ops.numpy import full as full
+from keras.src.ops.numpy import full_like as full_like
+from keras.src.ops.numpy import gcd as gcd
+from keras.src.ops.numpy import get_item as get_item
+from keras.src.ops.numpy import greater as greater
+from keras.src.ops.numpy import greater_equal as greater_equal
+from keras.src.ops.numpy import hamming as hamming
+from keras.src.ops.numpy import hanning as hanning
+from keras.src.ops.numpy import heaviside as heaviside
+from keras.src.ops.numpy import histogram as histogram
+from keras.src.ops.numpy import hstack as hstack
+from keras.src.ops.numpy import hypot as hypot
+from keras.src.ops.numpy import identity as identity
+from keras.src.ops.numpy import imag as imag
+from keras.src.ops.numpy import inner as inner
+from keras.src.ops.numpy import isclose as isclose
+from keras.src.ops.numpy import isfinite as isfinite
+from keras.src.ops.numpy import isin as isin
+from keras.src.ops.numpy import isinf as isinf
+from keras.src.ops.numpy import isnan as isnan
+from keras.src.ops.numpy import isneginf as isneginf
+from keras.src.ops.numpy import isposinf as isposinf
+from keras.src.ops.numpy import isreal as isreal
+from keras.src.ops.numpy import kaiser as kaiser
+from keras.src.ops.numpy import kron as kron
+from keras.src.ops.numpy import lcm as lcm
+from keras.src.ops.numpy import ldexp as ldexp
+from keras.src.ops.numpy import left_shift as left_shift
+from keras.src.ops.numpy import less as less
+from keras.src.ops.numpy import less_equal as less_equal
+from keras.src.ops.numpy import linspace as linspace
+from keras.src.ops.numpy import log as log
+from keras.src.ops.numpy import log1p as log1p
+from keras.src.ops.numpy import log2 as log2
+from keras.src.ops.numpy import log10 as log10
+from keras.src.ops.numpy import logaddexp as logaddexp
+from keras.src.ops.numpy import logaddexp2 as logaddexp2
+from keras.src.ops.numpy import logical_and as logical_and
+from keras.src.ops.numpy import logical_not as logical_not
+from keras.src.ops.numpy import logical_or as logical_or
+from keras.src.ops.numpy import logical_xor as logical_xor
+from keras.src.ops.numpy import logspace as logspace
+from keras.src.ops.numpy import matmul as matmul
+from keras.src.ops.numpy import max as max
+from keras.src.ops.numpy import maximum as maximum
+from keras.src.ops.numpy import mean as mean
+from keras.src.ops.numpy import median as median
+from keras.src.ops.numpy import meshgrid as meshgrid
+from keras.src.ops.numpy import min as min
+from keras.src.ops.numpy import minimum as minimum
+from keras.src.ops.numpy import mod as mod
+from keras.src.ops.numpy import moveaxis as moveaxis
+from keras.src.ops.numpy import multiply as multiply
+from keras.src.ops.numpy import nan_to_num as nan_to_num
+from keras.src.ops.numpy import ndim as ndim
+from keras.src.ops.numpy import negative as negative
+from keras.src.ops.numpy import nonzero as nonzero
+from keras.src.ops.numpy import not_equal as not_equal
+from keras.src.ops.numpy import ones as ones
+from keras.src.ops.numpy import ones_like as ones_like
+from keras.src.ops.numpy import outer as outer
+from keras.src.ops.numpy import pad as pad
+from keras.src.ops.numpy import power as power
+from keras.src.ops.numpy import prod as prod
+from keras.src.ops.numpy import quantile as quantile
+from keras.src.ops.numpy import ravel as ravel
+from keras.src.ops.numpy import real as real
+from keras.src.ops.numpy import reciprocal as reciprocal
+from keras.src.ops.numpy import repeat as repeat
+from keras.src.ops.numpy import reshape as reshape
+from keras.src.ops.numpy import right_shift as right_shift
+from keras.src.ops.numpy import roll as roll
+from keras.src.ops.numpy import rot90 as rot90
+from keras.src.ops.numpy import round as round
+from keras.src.ops.numpy import searchsorted as searchsorted
+from keras.src.ops.numpy import select as select
+from keras.src.ops.numpy import sign as sign
+from keras.src.ops.numpy import signbit as signbit
+from keras.src.ops.numpy import sin as sin
+from keras.src.ops.numpy import sinh as sinh
+from keras.src.ops.numpy import size as size
+from keras.src.ops.numpy import slogdet as slogdet
+from keras.src.ops.numpy import sort as sort
+from keras.src.ops.numpy import split as split
+from keras.src.ops.numpy import sqrt as sqrt
+from keras.src.ops.numpy import square as square
+from keras.src.ops.numpy import squeeze as squeeze
+from keras.src.ops.numpy import stack as stack
+from keras.src.ops.numpy import std as std
+from keras.src.ops.numpy import subtract as subtract
+from keras.src.ops.numpy import sum as sum
+from keras.src.ops.numpy import swapaxes as swapaxes
+from keras.src.ops.numpy import take as take
+from keras.src.ops.numpy import take_along_axis as take_along_axis
+from keras.src.ops.numpy import tan as tan
+from keras.src.ops.numpy import tanh as tanh
+from keras.src.ops.numpy import tensordot as tensordot
+from keras.src.ops.numpy import tile as tile
+from keras.src.ops.numpy import trace as trace
+from keras.src.ops.numpy import transpose as transpose
+from keras.src.ops.numpy import trapezoid as trapezoid
+from keras.src.ops.numpy import tri as tri
+from keras.src.ops.numpy import tril as tril
+from keras.src.ops.numpy import triu as triu
+from keras.src.ops.numpy import true_divide as true_divide
+from keras.src.ops.numpy import trunc as trunc
+from keras.src.ops.numpy import unravel_index as unravel_index
+from keras.src.ops.numpy import vander as vander
+from keras.src.ops.numpy import var as var
+from keras.src.ops.numpy import vdot as vdot
+from keras.src.ops.numpy import vectorize as vectorize
+from keras.src.ops.numpy import view as view
+from keras.src.ops.numpy import vstack as vstack
+from keras.src.ops.numpy import where as where
+from keras.src.ops.numpy import zeros as zeros
+from keras.src.ops.numpy import zeros_like as zeros_like

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/ops/image/__init__.py

@@ -0,0 +1,20 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.ops.image import affine_transform as affine_transform
+from keras.src.ops.image import crop_images as crop_images
+from keras.src.ops.image import elastic_transform as elastic_transform
+from keras.src.ops.image import extract_patches as extract_patches
+from keras.src.ops.image import extract_patches_3d as extract_patches_3d
+from keras.src.ops.image import gaussian_blur as gaussian_blur
+from keras.src.ops.image import hsv_to_rgb as hsv_to_rgb
+from keras.src.ops.image import map_coordinates as map_coordinates
+from keras.src.ops.image import pad_images as pad_images
+from keras.src.ops.image import perspective_transform as perspective_transform
+from keras.src.ops.image import resize as resize
+from keras.src.ops.image import rgb_to_grayscale as rgb_to_grayscale
+from keras.src.ops.image import rgb_to_hsv as rgb_to_hsv
+from keras.src.ops.image import scale_and_translate as scale_and_translate

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/ops/linalg/__init__.py

@@ -0,0 +1,20 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.ops.linalg import cholesky as cholesky
+from keras.src.ops.linalg import cholesky_inverse as cholesky_inverse
+from keras.src.ops.linalg import det as det
+from keras.src.ops.linalg import eig as eig
+from keras.src.ops.linalg import eigh as eigh
+from keras.src.ops.linalg import inv as inv
+from keras.src.ops.linalg import jvp as jvp
+from keras.src.ops.linalg import lstsq as lstsq
+from keras.src.ops.linalg import lu_factor as lu_factor
+from keras.src.ops.linalg import norm as norm
+from keras.src.ops.linalg import qr as qr
+from keras.src.ops.linalg import solve as solve
+from keras.src.ops.linalg import solve_triangular as solve_triangular
+from keras.src.ops.linalg import svd as svd

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/ops/nn/__init__.py

@@ -0,0 +1,62 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.ops.nn import adaptive_average_pool as adaptive_average_pool
+from keras.src.ops.nn import adaptive_max_pool as adaptive_max_pool
+from keras.src.ops.nn import average_pool as average_pool
+from keras.src.ops.nn import batch_normalization as batch_normalization
+from keras.src.ops.nn import binary_crossentropy as binary_crossentropy
+from keras.src.ops.nn import (
+    categorical_crossentropy as categorical_crossentropy,
+)
+from keras.src.ops.nn import celu as celu
+from keras.src.ops.nn import conv as conv
+from keras.src.ops.nn import conv_transpose as conv_transpose
+from keras.src.ops.nn import ctc_decode as ctc_decode
+from keras.src.ops.nn import ctc_loss as ctc_loss
+from keras.src.ops.nn import depthwise_conv as depthwise_conv
+from keras.src.ops.nn import dot_product_attention as dot_product_attention
+from keras.src.ops.nn import elu as elu
+from keras.src.ops.nn import gelu as gelu
+from keras.src.ops.nn import glu as glu
+from keras.src.ops.nn import hard_shrink as hard_shrink
+from keras.src.ops.nn import hard_sigmoid as hard_sigmoid
+from keras.src.ops.nn import hard_silu as hard_silu
+from keras.src.ops.nn import hard_silu as hard_swish
+from keras.src.ops.nn import hard_tanh as hard_tanh
+from keras.src.ops.nn import layer_normalization as layer_normalization
+from keras.src.ops.nn import leaky_relu as leaky_relu
+from keras.src.ops.nn import log_sigmoid as log_sigmoid
+from keras.src.ops.nn import log_softmax as log_softmax
+from keras.src.ops.nn import max_pool as max_pool
+from keras.src.ops.nn import moments as moments
+from keras.src.ops.nn import multi_hot as multi_hot
+from keras.src.ops.nn import normalize as normalize
+from keras.src.ops.nn import one_hot as one_hot
+from keras.src.ops.nn import polar as polar
+from keras.src.ops.nn import psnr as psnr
+from keras.src.ops.nn import relu as relu
+from keras.src.ops.nn import relu6 as relu6
+from keras.src.ops.nn import rms_normalization as rms_normalization
+from keras.src.ops.nn import selu as selu
+from keras.src.ops.nn import separable_conv as separable_conv
+from keras.src.ops.nn import sigmoid as sigmoid
+from keras.src.ops.nn import silu as silu
+from keras.src.ops.nn import silu as swish
+from keras.src.ops.nn import soft_shrink as soft_shrink
+from keras.src.ops.nn import softmax as softmax
+from keras.src.ops.nn import softplus as softplus
+from keras.src.ops.nn import softsign as softsign
+from keras.src.ops.nn import (
+    sparse_categorical_crossentropy as sparse_categorical_crossentropy,
+)
+from keras.src.ops.nn import sparse_plus as sparse_plus
+from keras.src.ops.nn import sparse_sigmoid as sparse_sigmoid
+from keras.src.ops.nn import sparsemax as sparsemax
+from keras.src.ops.nn import squareplus as squareplus
+from keras.src.ops.nn import tanh_shrink as tanh_shrink
+from keras.src.ops.nn import threshold as threshold
+from keras.src.ops.nn import unfold as unfold

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/ops/numpy/__init__.py

@@ -0,0 +1,193 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.ops.numpy import abs as abs
+from keras.src.ops.numpy import absolute as absolute
+from keras.src.ops.numpy import add as add
+from keras.src.ops.numpy import all as all
+from keras.src.ops.numpy import amax as amax
+from keras.src.ops.numpy import amin as amin
+from keras.src.ops.numpy import angle as angle
+from keras.src.ops.numpy import any as any
+from keras.src.ops.numpy import append as append
+from keras.src.ops.numpy import arange as arange
+from keras.src.ops.numpy import arccos as arccos
+from keras.src.ops.numpy import arccosh as arccosh
+from keras.src.ops.numpy import arcsin as arcsin
+from keras.src.ops.numpy import arcsinh as arcsinh
+from keras.src.ops.numpy import arctan as arctan
+from keras.src.ops.numpy import arctan2 as arctan2
+from keras.src.ops.numpy import arctanh as arctanh
+from keras.src.ops.numpy import argmax as argmax
+from keras.src.ops.numpy import argmin as argmin
+from keras.src.ops.numpy import argpartition as argpartition
+from keras.src.ops.numpy import argsort as argsort
+from keras.src.ops.numpy import array as array
+from keras.src.ops.numpy import array_split as array_split
+from keras.src.ops.numpy import average as average
+from keras.src.ops.numpy import bartlett as bartlett
+from keras.src.ops.numpy import bincount as bincount
+from keras.src.ops.numpy import bitwise_and as bitwise_and
+from keras.src.ops.numpy import bitwise_invert as bitwise_invert
+from keras.src.ops.numpy import bitwise_left_shift as bitwise_left_shift
+from keras.src.ops.numpy import bitwise_not as bitwise_not
+from keras.src.ops.numpy import bitwise_or as bitwise_or
+from keras.src.ops.numpy import bitwise_right_shift as bitwise_right_shift
+from keras.src.ops.numpy import bitwise_xor as bitwise_xor
+from keras.src.ops.numpy import blackman as blackman
+from keras.src.ops.numpy import broadcast_to as broadcast_to
+from keras.src.ops.numpy import cbrt as cbrt
+from keras.src.ops.numpy import ceil as ceil
+from keras.src.ops.numpy import clip as clip
+from keras.src.ops.numpy import concatenate as concatenate
+from keras.src.ops.numpy import conj as conj
+from keras.src.ops.numpy import conjugate as conjugate
+from keras.src.ops.numpy import copy as copy
+from keras.src.ops.numpy import corrcoef as corrcoef
+from keras.src.ops.numpy import correlate as correlate
+from keras.src.ops.numpy import cos as cos
+from keras.src.ops.numpy import cosh as cosh
+from keras.src.ops.numpy import count_nonzero as count_nonzero
+from keras.src.ops.numpy import cross as cross
+from keras.src.ops.numpy import cumprod as cumprod
+from keras.src.ops.numpy import cumsum as cumsum
+from keras.src.ops.numpy import deg2rad as deg2rad
+from keras.src.ops.numpy import diag as diag
+from keras.src.ops.numpy import diagflat as diagflat
+from keras.src.ops.numpy import diagonal as diagonal
+from keras.src.ops.numpy import diff as diff
+from keras.src.ops.numpy import digitize as digitize
+from keras.src.ops.numpy import divide as divide
+from keras.src.ops.numpy import divide_no_nan as divide_no_nan
+from keras.src.ops.numpy import dot as dot
+from keras.src.ops.numpy import einsum as einsum
+from keras.src.ops.numpy import empty as empty
+from keras.src.ops.numpy import empty_like as empty_like
+from keras.src.ops.numpy import equal as equal
+from keras.src.ops.numpy import exp as exp
+from keras.src.ops.numpy import exp2 as exp2
+from keras.src.ops.numpy import expand_dims as expand_dims
+from keras.src.ops.numpy import expm1 as expm1
+from keras.src.ops.numpy import eye as eye
+from keras.src.ops.numpy import flip as flip
+from keras.src.ops.numpy import floor as floor
+from keras.src.ops.numpy import floor_divide as floor_divide
+from keras.src.ops.numpy import full as full
+from keras.src.ops.numpy import full_like as full_like
+from keras.src.ops.numpy import gcd as gcd
+from keras.src.ops.numpy import get_item as get_item
+from keras.src.ops.numpy import greater as greater
+from keras.src.ops.numpy import greater_equal as greater_equal
+from keras.src.ops.numpy import hamming as hamming
+from keras.src.ops.numpy import hanning as hanning
+from keras.src.ops.numpy import heaviside as heaviside
+from keras.src.ops.numpy import histogram as histogram
+from keras.src.ops.numpy import hstack as hstack
+from keras.src.ops.numpy import hypot as hypot
+from keras.src.ops.numpy import identity as identity
+from keras.src.ops.numpy import imag as imag
+from keras.src.ops.numpy import inner as inner
+from keras.src.ops.numpy import isclose as isclose
+from keras.src.ops.numpy import isfinite as isfinite
+from keras.src.ops.numpy import isin as isin
+from keras.src.ops.numpy import isinf as isinf
+from keras.src.ops.numpy import isnan as isnan
+from keras.src.ops.numpy import isneginf as isneginf
+from keras.src.ops.numpy import isposinf as isposinf
+from keras.src.ops.numpy import isreal as isreal
+from keras.src.ops.numpy import kaiser as kaiser
+from keras.src.ops.numpy import kron as kron
+from keras.src.ops.numpy import lcm as lcm
+from keras.src.ops.numpy import ldexp as ldexp
+from keras.src.ops.numpy import left_shift as left_shift
+from keras.src.ops.numpy import less as less
+from keras.src.ops.numpy import less_equal as less_equal
+from keras.src.ops.numpy import linspace as linspace
+from keras.src.ops.numpy import log as log
+from keras.src.ops.numpy import log1p as log1p
+from keras.src.ops.numpy import log2 as log2
+from keras.src.ops.numpy import log10 as log10
+from keras.src.ops.numpy import logaddexp as logaddexp
+from keras.src.ops.numpy import logaddexp2 as logaddexp2
+from keras.src.ops.numpy import logical_and as logical_and
+from keras.src.ops.numpy import logical_not as logical_not
+from keras.src.ops.numpy import logical_or as logical_or
+from keras.src.ops.numpy import logical_xor as logical_xor
+from keras.src.ops.numpy import logspace as logspace
+from keras.src.ops.numpy import matmul as matmul
+from keras.src.ops.numpy import max as max
+from keras.src.ops.numpy import maximum as maximum
+from keras.src.ops.numpy import mean as mean
+from keras.src.ops.numpy import median as median
+from keras.src.ops.numpy import meshgrid as meshgrid
+from keras.src.ops.numpy import min as min
+from keras.src.ops.numpy import minimum as minimum
+from keras.src.ops.numpy import mod as mod
+from keras.src.ops.numpy import moveaxis as moveaxis
+from keras.src.ops.numpy import multiply as multiply
+from keras.src.ops.numpy import nan_to_num as nan_to_num
+from keras.src.ops.numpy import ndim as ndim
+from keras.src.ops.numpy import negative as negative
+from keras.src.ops.numpy import nonzero as nonzero
+from keras.src.ops.numpy import not_equal as not_equal
+from keras.src.ops.numpy import ones as ones
+from keras.src.ops.numpy import ones_like as ones_like
+from keras.src.ops.numpy import outer as outer
+from keras.src.ops.numpy import pad as pad
+from keras.src.ops.numpy import power as power
+from keras.src.ops.numpy import prod as prod
+from keras.src.ops.numpy import quantile as quantile
+from keras.src.ops.numpy import ravel as ravel
+from keras.src.ops.numpy import real as real
+from keras.src.ops.numpy import reciprocal as reciprocal
+from keras.src.ops.numpy import repeat as repeat
+from keras.src.ops.numpy import reshape as reshape
+from keras.src.ops.numpy import right_shift as right_shift
+from keras.src.ops.numpy import roll as roll
+from keras.src.ops.numpy import rot90 as rot90
+from keras.src.ops.numpy import round as round
+from keras.src.ops.numpy import searchsorted as searchsorted
+from keras.src.ops.numpy import select as select
+from keras.src.ops.numpy import sign as sign
+from keras.src.ops.numpy import signbit as signbit
+from keras.src.ops.numpy import sin as sin
+from keras.src.ops.numpy import sinh as sinh
+from keras.src.ops.numpy import size as size
+from keras.src.ops.numpy import slogdet as slogdet
+from keras.src.ops.numpy import sort as sort
+from keras.src.ops.numpy import split as split
+from keras.src.ops.numpy import sqrt as sqrt
+from keras.src.ops.numpy import square as square
+from keras.src.ops.numpy import squeeze as squeeze
+from keras.src.ops.numpy import stack as stack
+from keras.src.ops.numpy import std as std
+from keras.src.ops.numpy import subtract as subtract
+from keras.src.ops.numpy import sum as sum
+from keras.src.ops.numpy import swapaxes as swapaxes
+from keras.src.ops.numpy import take as take
+from keras.src.ops.numpy import take_along_axis as take_along_axis
+from keras.src.ops.numpy import tan as tan
+from keras.src.ops.numpy import tanh as tanh
+from keras.src.ops.numpy import tensordot as tensordot
+from keras.src.ops.numpy import tile as tile
+from keras.src.ops.numpy import trace as trace
+from keras.src.ops.numpy import transpose as transpose
+from keras.src.ops.numpy import trapezoid as trapezoid
+from keras.src.ops.numpy import tri as tri
+from keras.src.ops.numpy import tril as tril
+from keras.src.ops.numpy import triu as triu
+from keras.src.ops.numpy import true_divide as true_divide
+from keras.src.ops.numpy import trunc as trunc
+from keras.src.ops.numpy import unravel_index as unravel_index
+from keras.src.ops.numpy import vander as vander
+from keras.src.ops.numpy import var as var
+from keras.src.ops.numpy import vdot as vdot
+from keras.src.ops.numpy import vectorize as vectorize
+from keras.src.ops.numpy import view as view
+from keras.src.ops.numpy import vstack as vstack
+from keras.src.ops.numpy import where as where
+from keras.src.ops.numpy import zeros as zeros
+from keras.src.ops.numpy import zeros_like as zeros_like

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/optimizers/__init__.py

@@ -0,0 +1,28 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.optimizers import legacy as legacy
+from keras.optimizers import schedules as schedules
+from keras.src.optimizers import deserialize as deserialize
+from keras.src.optimizers import get as get
+from keras.src.optimizers import serialize as serialize
+from keras.src.optimizers.adadelta import Adadelta as Adadelta
+from keras.src.optimizers.adafactor import Adafactor as Adafactor
+from keras.src.optimizers.adagrad import Adagrad as Adagrad
+from keras.src.optimizers.adam import Adam as Adam
+from keras.src.optimizers.adamax import Adamax as Adamax
+from keras.src.optimizers.adamw import AdamW as AdamW
+from keras.src.optimizers.ftrl import Ftrl as Ftrl
+from keras.src.optimizers.lamb import Lamb as Lamb
+from keras.src.optimizers.lion import Lion as Lion
+from keras.src.optimizers.loss_scale_optimizer import (
+    LossScaleOptimizer as LossScaleOptimizer,
+)
+from keras.src.optimizers.muon import Muon as Muon
+from keras.src.optimizers.nadam import Nadam as Nadam
+from keras.src.optimizers.optimizer import Optimizer as Optimizer
+from keras.src.optimizers.rmsprop import RMSprop as RMSprop
+from keras.src.optimizers.sgd import SGD as SGD

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/optimizers/legacy/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.optimizers import LegacyOptimizerWarning as Adagrad
+from keras.src.optimizers import LegacyOptimizerWarning as Adam
+from keras.src.optimizers import LegacyOptimizerWarning as Ftrl
+from keras.src.optimizers import LegacyOptimizerWarning as Optimizer
+from keras.src.optimizers import LegacyOptimizerWarning as RMSprop
+from keras.src.optimizers import LegacyOptimizerWarning as SGD

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/optimizers/schedules/__init__.py

@@ -0,0 +1,33 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    CosineDecay as CosineDecay,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    CosineDecayRestarts as CosineDecayRestarts,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    ExponentialDecay as ExponentialDecay,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    InverseTimeDecay as InverseTimeDecay,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    LearningRateSchedule as LearningRateSchedule,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    PiecewiseConstantDecay as PiecewiseConstantDecay,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    PolynomialDecay as PolynomialDecay,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    deserialize as deserialize,
+)
+from keras.src.optimizers.schedules.learning_rate_schedule import (
+    serialize as serialize,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/preprocessing/__init__.py

@@ -0,0 +1,18 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras._tf_keras.keras.preprocessing import image as image
+from keras._tf_keras.keras.preprocessing import sequence as sequence
+from keras._tf_keras.keras.preprocessing import text as text
+from keras.src.utils.image_dataset_utils import (
+    image_dataset_from_directory as image_dataset_from_directory,
+)
+from keras.src.utils.text_dataset_utils import (
+    text_dataset_from_directory as text_dataset_from_directory,
+)
+from keras.src.utils.timeseries_dataset_utils import (
+    timeseries_dataset_from_array as timeseries_dataset_from_array,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/preprocessing/image/__init__.py

@@ -0,0 +1,42 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.legacy.preprocessing.image import (
+    DirectoryIterator as DirectoryIterator,
+)
+from keras.src.legacy.preprocessing.image import (
+    ImageDataGenerator as ImageDataGenerator,
+)
+from keras.src.legacy.preprocessing.image import Iterator as Iterator
+from keras.src.legacy.preprocessing.image import (
+    NumpyArrayIterator as NumpyArrayIterator,
+)
+from keras.src.legacy.preprocessing.image import (
+    apply_affine_transform as apply_affine_transform,
+)
+from keras.src.legacy.preprocessing.image import (
+    apply_brightness_shift as apply_brightness_shift,
+)
+from keras.src.legacy.preprocessing.image import (
+    apply_channel_shift as apply_channel_shift,
+)
+from keras.src.legacy.preprocessing.image import (
+    random_brightness as random_brightness,
+)
+from keras.src.legacy.preprocessing.image import (
+    random_channel_shift as random_channel_shift,
+)
+from keras.src.legacy.preprocessing.image import (
+    random_rotation as random_rotation,
+)
+from keras.src.legacy.preprocessing.image import random_shear as random_shear
+from keras.src.legacy.preprocessing.image import random_shift as random_shift
+from keras.src.legacy.preprocessing.image import random_zoom as random_zoom
+from keras.src.utils.image_utils import array_to_img as array_to_img
+from keras.src.utils.image_utils import img_to_array as img_to_array
+from keras.src.utils.image_utils import load_img as load_img
+from keras.src.utils.image_utils import save_img as save_img
+from keras.src.utils.image_utils import smart_resize as smart_resize

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/preprocessing/sequence/__init__.py

@@ -0,0 +1,14 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.legacy.preprocessing.sequence import (
+    TimeseriesGenerator as TimeseriesGenerator,
+)
+from keras.src.legacy.preprocessing.sequence import (
+    make_sampling_table as make_sampling_table,
+)
+from keras.src.legacy.preprocessing.sequence import skipgrams as skipgrams
+from keras.src.utils.sequence_utils import pad_sequences as pad_sequences

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/preprocessing/text/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.legacy.preprocessing.text import Tokenizer as Tokenizer
+from keras.src.legacy.preprocessing.text import hashing_trick as hashing_trick
+from keras.src.legacy.preprocessing.text import one_hot as one_hot
+from keras.src.legacy.preprocessing.text import (
+    text_to_word_sequence as text_to_word_sequence,
+)
+from keras.src.legacy.preprocessing.text import (
+    tokenizer_from_json as tokenizer_from_json,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/quantizers/__init__.py

@@ -0,0 +1,39 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.quantizers import deserialize as deserialize
+from keras.src.quantizers import get as get
+from keras.src.quantizers import serialize as serialize
+from keras.src.quantizers.gptq_config import GPTQConfig as GPTQConfig
+from keras.src.quantizers.quantization_config import (
+    Float8QuantizationConfig as Float8QuantizationConfig,
+)
+from keras.src.quantizers.quantization_config import (
+    Int4QuantizationConfig as Int4QuantizationConfig,
+)
+from keras.src.quantizers.quantization_config import (
+    Int8QuantizationConfig as Int8QuantizationConfig,
+)
+from keras.src.quantizers.quantization_config import (
+    QuantizationConfig as QuantizationConfig,
+)
+from keras.src.quantizers.quantizers import AbsMaxQuantizer as AbsMaxQuantizer
+from keras.src.quantizers.quantizers import Quantizer as Quantizer
+from keras.src.quantizers.quantizers import abs_max_quantize as abs_max_quantize
+from keras.src.quantizers.quantizers import (
+    compute_float8_amax_history as compute_float8_amax_history,
+)
+from keras.src.quantizers.quantizers import (
+    compute_float8_scale as compute_float8_scale,
+)
+from keras.src.quantizers.quantizers import (
+    fake_quant_with_min_max_vars as fake_quant_with_min_max_vars,
+)
+from keras.src.quantizers.quantizers import pack_int4 as pack_int4
+from keras.src.quantizers.quantizers import (
+    quantize_and_dequantize as quantize_and_dequantize,
+)
+from keras.src.quantizers.quantizers import unpack_int4 as unpack_int4

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/random/__init__.py

@@ -0,0 +1,17 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.random.random import beta as beta
+from keras.src.random.random import binomial as binomial
+from keras.src.random.random import categorical as categorical
+from keras.src.random.random import dropout as dropout
+from keras.src.random.random import gamma as gamma
+from keras.src.random.random import normal as normal
+from keras.src.random.random import randint as randint
+from keras.src.random.random import shuffle as shuffle
+from keras.src.random.random import truncated_normal as truncated_normal
+from keras.src.random.random import uniform as uniform
+from keras.src.random.seed_generator import SeedGenerator as SeedGenerator

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/regularizers/__init__.py

@@ -0,0 +1,22 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.regularizers import deserialize as deserialize
+from keras.src.regularizers import get as get
+from keras.src.regularizers import serialize as serialize
+from keras.src.regularizers.regularizers import L1 as L1
+from keras.src.regularizers.regularizers import L1 as l1
+from keras.src.regularizers.regularizers import L1L2 as L1L2
+from keras.src.regularizers.regularizers import L1L2 as l1_l2
+from keras.src.regularizers.regularizers import L2 as L2
+from keras.src.regularizers.regularizers import L2 as l2
+from keras.src.regularizers.regularizers import (
+    OrthogonalRegularizer as OrthogonalRegularizer,
+)
+from keras.src.regularizers.regularizers import (
+    OrthogonalRegularizer as orthogonal_regularizer,
+)
+from keras.src.regularizers.regularizers import Regularizer as Regularizer

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/saving/__init__.py

@@ -0,0 +1,35 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.saving.file_editor import KerasFileEditor as KerasFileEditor
+from keras.src.saving.object_registration import (
+    CustomObjectScope as CustomObjectScope,
+)
+from keras.src.saving.object_registration import (
+    CustomObjectScope as custom_object_scope,
+)
+from keras.src.saving.object_registration import (
+    get_custom_objects as get_custom_objects,
+)
+from keras.src.saving.object_registration import (
+    get_registered_name as get_registered_name,
+)
+from keras.src.saving.object_registration import (
+    get_registered_object as get_registered_object,
+)
+from keras.src.saving.object_registration import (
+    register_keras_serializable as register_keras_serializable,
+)
+from keras.src.saving.saving_api import load_model as load_model
+from keras.src.saving.saving_api import load_weights as load_weights
+from keras.src.saving.saving_api import save_model as save_model
+from keras.src.saving.saving_api import save_weights as save_weights
+from keras.src.saving.serialization_lib import (
+    deserialize_keras_object as deserialize_keras_object,
+)
+from keras.src.saving.serialization_lib import (
+    serialize_keras_object as serialize_keras_object,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/tree/__init__.py

@@ -0,0 +1,20 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.tree.tree_api import MAP_TO_NONE as MAP_TO_NONE
+from keras.src.tree.tree_api import assert_same_paths as assert_same_paths
+from keras.src.tree.tree_api import (
+    assert_same_structure as assert_same_structure,
+)
+from keras.src.tree.tree_api import flatten as flatten
+from keras.src.tree.tree_api import flatten_with_path as flatten_with_path
+from keras.src.tree.tree_api import is_nested as is_nested
+from keras.src.tree.tree_api import lists_to_tuples as lists_to_tuples
+from keras.src.tree.tree_api import map_shape_structure as map_shape_structure
+from keras.src.tree.tree_api import map_structure as map_structure
+from keras.src.tree.tree_api import map_structure_up_to as map_structure_up_to
+from keras.src.tree.tree_api import pack_sequence_as as pack_sequence_as
+from keras.src.tree.tree_api import traverse as traverse

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/utils/__init__.py

@@ -0,0 +1,90 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.backend.common.global_state import clear_session as clear_session
+from keras.src.backend.common.keras_tensor import (
+    is_keras_tensor as is_keras_tensor,
+)
+from keras.src.backend.common.variables import (
+    standardize_dtype as standardize_dtype,
+)
+from keras.src.layers.preprocessing.feature_space import (
+    FeatureSpace as FeatureSpace,
+)
+from keras.src.ops.operation_utils import get_source_inputs as get_source_inputs
+from keras.src.saving.object_registration import (
+    CustomObjectScope as CustomObjectScope,
+)
+from keras.src.saving.object_registration import (
+    CustomObjectScope as custom_object_scope,
+)
+from keras.src.saving.object_registration import (
+    get_custom_objects as get_custom_objects,
+)
+from keras.src.saving.object_registration import (
+    get_registered_name as get_registered_name,
+)
+from keras.src.saving.object_registration import (
+    get_registered_object as get_registered_object,
+)
+from keras.src.saving.object_registration import (
+    register_keras_serializable as register_keras_serializable,
+)
+from keras.src.saving.serialization_lib import (
+    deserialize_keras_object as deserialize_keras_object,
+)
+from keras.src.saving.serialization_lib import (
+    serialize_keras_object as serialize_keras_object,
+)
+from keras.src.trainers.data_adapters.data_adapter_utils import (
+    pack_x_y_sample_weight as pack_x_y_sample_weight,
+)
+from keras.src.trainers.data_adapters.data_adapter_utils import (
+    unpack_x_y_sample_weight as unpack_x_y_sample_weight,
+)
+from keras.src.trainers.data_adapters.py_dataset_adapter import (
+    PyDataset as PyDataset,
+)
+from keras.src.trainers.data_adapters.py_dataset_adapter import (
+    PyDataset as Sequence,
+)
+from keras.src.utils.audio_dataset_utils import (
+    audio_dataset_from_directory as audio_dataset_from_directory,
+)
+from keras.src.utils.config import Config as Config
+from keras.src.utils.dataset_utils import split_dataset as split_dataset
+from keras.src.utils.file_utils import get_file as get_file
+from keras.src.utils.image_dataset_utils import (
+    image_dataset_from_directory as image_dataset_from_directory,
+)
+from keras.src.utils.image_utils import array_to_img as array_to_img
+from keras.src.utils.image_utils import img_to_array as img_to_array
+from keras.src.utils.image_utils import load_img as load_img
+from keras.src.utils.image_utils import save_img as save_img
+from keras.src.utils.io_utils import (
+    disable_interactive_logging as disable_interactive_logging,
+)
+from keras.src.utils.io_utils import (
+    enable_interactive_logging as enable_interactive_logging,
+)
+from keras.src.utils.io_utils import (
+    is_interactive_logging_enabled as is_interactive_logging_enabled,
+)
+from keras.src.utils.model_visualization import model_to_dot as model_to_dot
+from keras.src.utils.model_visualization import plot_model as plot_model
+from keras.src.utils.numerical_utils import normalize as normalize
+from keras.src.utils.numerical_utils import to_categorical as to_categorical
+from keras.src.utils.progbar import Progbar as Progbar
+from keras.src.utils.rng_utils import set_random_seed as set_random_seed
+from keras.src.utils.sequence_utils import pad_sequences as pad_sequences
+from keras.src.utils.text_dataset_utils import (
+    text_dataset_from_directory as text_dataset_from_directory,
+)
+from keras.src.utils.timeseries_dataset_utils import (
+    timeseries_dataset_from_array as timeseries_dataset_from_array,
+)
+from keras.utils import bounding_boxes as bounding_boxes
+from keras.utils import legacy as legacy

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/utils/bounding_boxes/__init__.py

@@ -0,0 +1,33 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import (
+    affine_transform as affine_transform,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import (
+    clip_to_image_size as clip_to_image_size,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import (
+    convert_format as convert_format,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import (
+    crop as crop,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import (
+    decode_deltas_to_boxes as decode_deltas_to_boxes,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import (
+    encode_box_to_deltas as encode_box_to_deltas,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import (
+    pad as pad,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.iou import (
+    compute_ciou as compute_ciou,
+)
+from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.iou import (
+    compute_iou as compute_iou,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/utils/legacy/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.legacy.saving.serialization import (
+    deserialize_keras_object as deserialize_keras_object,
+)
+from keras.src.legacy.saving.serialization import (
+    serialize_keras_object as serialize_keras_object,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/visualization/__init__.py

@@ -0,0 +1,21 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.visualization.draw_bounding_boxes import (
+    draw_bounding_boxes as draw_bounding_boxes,
+)
+from keras.src.visualization.draw_segmentation_masks import (
+    draw_segmentation_masks as draw_segmentation_masks,
+)
+from keras.src.visualization.plot_bounding_box_gallery import (
+    plot_bounding_box_gallery as plot_bounding_box_gallery,
+)
+from keras.src.visualization.plot_image_gallery import (
+    plot_image_gallery as plot_image_gallery,
+)
+from keras.src.visualization.plot_segmentation_mask_gallery import (
+    plot_segmentation_mask_gallery as plot_segmentation_mask_gallery,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/_tf_keras/keras/wrappers/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.wrappers.sklearn_wrapper import (
+    SKLearnClassifier as SKLearnClassifier,
+)
+from keras.src.wrappers.sklearn_wrapper import (
+    SKLearnRegressor as SKLearnRegressor,
+)
+from keras.src.wrappers.sklearn_wrapper import (
+    SKLearnTransformer as SKLearnTransformer,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/activations/__init__.py

@@ -0,0 +1,41 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.activations import deserialize as deserialize
+from keras.src.activations import get as get
+from keras.src.activations import serialize as serialize
+from keras.src.activations.activations import celu as celu
+from keras.src.activations.activations import elu as elu
+from keras.src.activations.activations import exponential as exponential
+from keras.src.activations.activations import gelu as gelu
+from keras.src.activations.activations import glu as glu
+from keras.src.activations.activations import hard_shrink as hard_shrink
+from keras.src.activations.activations import hard_sigmoid as hard_sigmoid
+from keras.src.activations.activations import hard_silu as hard_silu
+from keras.src.activations.activations import hard_silu as hard_swish
+from keras.src.activations.activations import hard_tanh as hard_tanh
+from keras.src.activations.activations import leaky_relu as leaky_relu
+from keras.src.activations.activations import linear as linear
+from keras.src.activations.activations import log_sigmoid as log_sigmoid
+from keras.src.activations.activations import log_softmax as log_softmax
+from keras.src.activations.activations import mish as mish
+from keras.src.activations.activations import relu as relu
+from keras.src.activations.activations import relu6 as relu6
+from keras.src.activations.activations import selu as selu
+from keras.src.activations.activations import sigmoid as sigmoid
+from keras.src.activations.activations import silu as silu
+from keras.src.activations.activations import silu as swish
+from keras.src.activations.activations import soft_shrink as soft_shrink
+from keras.src.activations.activations import softmax as softmax
+from keras.src.activations.activations import softplus as softplus
+from keras.src.activations.activations import softsign as softsign
+from keras.src.activations.activations import sparse_plus as sparse_plus
+from keras.src.activations.activations import sparse_sigmoid as sparse_sigmoid
+from keras.src.activations.activations import sparsemax as sparsemax
+from keras.src.activations.activations import squareplus as squareplus
+from keras.src.activations.activations import tanh as tanh
+from keras.src.activations.activations import tanh_shrink as tanh_shrink
+from keras.src.activations.activations import threshold as threshold

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/__init__.py

@@ -0,0 +1,83 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.applications import convnext as convnext
+from keras.applications import densenet as densenet
+from keras.applications import efficientnet as efficientnet
+from keras.applications import efficientnet_v2 as efficientnet_v2
+from keras.applications import imagenet_utils as imagenet_utils
+from keras.applications import inception_resnet_v2 as inception_resnet_v2
+from keras.applications import inception_v3 as inception_v3
+from keras.applications import mobilenet as mobilenet
+from keras.applications import mobilenet_v2 as mobilenet_v2
+from keras.applications import mobilenet_v3 as mobilenet_v3
+from keras.applications import nasnet as nasnet
+from keras.applications import resnet as resnet
+from keras.applications import resnet50 as resnet50
+from keras.applications import resnet_v2 as resnet_v2
+from keras.applications import vgg16 as vgg16
+from keras.applications import vgg19 as vgg19
+from keras.applications import xception as xception
+from keras.src.applications.convnext import ConvNeXtBase as ConvNeXtBase
+from keras.src.applications.convnext import ConvNeXtLarge as ConvNeXtLarge
+from keras.src.applications.convnext import ConvNeXtSmall as ConvNeXtSmall
+from keras.src.applications.convnext import ConvNeXtTiny as ConvNeXtTiny
+from keras.src.applications.convnext import ConvNeXtXLarge as ConvNeXtXLarge
+from keras.src.applications.densenet import DenseNet121 as DenseNet121
+from keras.src.applications.densenet import DenseNet169 as DenseNet169
+from keras.src.applications.densenet import DenseNet201 as DenseNet201
+from keras.src.applications.efficientnet import EfficientNetB0 as EfficientNetB0
+from keras.src.applications.efficientnet import EfficientNetB1 as EfficientNetB1
+from keras.src.applications.efficientnet import EfficientNetB2 as EfficientNetB2
+from keras.src.applications.efficientnet import EfficientNetB3 as EfficientNetB3
+from keras.src.applications.efficientnet import EfficientNetB4 as EfficientNetB4
+from keras.src.applications.efficientnet import EfficientNetB5 as EfficientNetB5
+from keras.src.applications.efficientnet import EfficientNetB6 as EfficientNetB6
+from keras.src.applications.efficientnet import EfficientNetB7 as EfficientNetB7
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B0 as EfficientNetV2B0,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B1 as EfficientNetV2B1,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B2 as EfficientNetV2B2,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B3 as EfficientNetV2B3,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2L as EfficientNetV2L,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2M as EfficientNetV2M,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2S as EfficientNetV2S,
+)
+from keras.src.applications.inception_resnet_v2 import (
+    InceptionResNetV2 as InceptionResNetV2,
+)
+from keras.src.applications.inception_v3 import InceptionV3 as InceptionV3
+from keras.src.applications.mobilenet import MobileNet as MobileNet
+from keras.src.applications.mobilenet_v2 import MobileNetV2 as MobileNetV2
+from keras.src.applications.mobilenet_v3 import (
+    MobileNetV3Large as MobileNetV3Large,
+)
+from keras.src.applications.mobilenet_v3 import (
+    MobileNetV3Small as MobileNetV3Small,
+)
+from keras.src.applications.nasnet import NASNetLarge as NASNetLarge
+from keras.src.applications.nasnet import NASNetMobile as NASNetMobile
+from keras.src.applications.resnet import ResNet50 as ResNet50
+from keras.src.applications.resnet import ResNet101 as ResNet101
+from keras.src.applications.resnet import ResNet152 as ResNet152
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
+from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
+from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.vgg16 import VGG16 as VGG16
+from keras.src.applications.vgg19 import VGG19 as VGG19
+from keras.src.applications.xception import Xception as Xception

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/convnext/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.convnext import ConvNeXtBase as ConvNeXtBase
+from keras.src.applications.convnext import ConvNeXtLarge as ConvNeXtLarge
+from keras.src.applications.convnext import ConvNeXtSmall as ConvNeXtSmall
+from keras.src.applications.convnext import ConvNeXtTiny as ConvNeXtTiny
+from keras.src.applications.convnext import ConvNeXtXLarge as ConvNeXtXLarge
+from keras.src.applications.convnext import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.convnext import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/densenet/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.densenet import DenseNet121 as DenseNet121
+from keras.src.applications.densenet import DenseNet169 as DenseNet169
+from keras.src.applications.densenet import DenseNet201 as DenseNet201
+from keras.src.applications.densenet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.densenet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/efficientnet/__init__.py

@@ -0,0 +1,20 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.efficientnet import EfficientNetB0 as EfficientNetB0
+from keras.src.applications.efficientnet import EfficientNetB1 as EfficientNetB1
+from keras.src.applications.efficientnet import EfficientNetB2 as EfficientNetB2
+from keras.src.applications.efficientnet import EfficientNetB3 as EfficientNetB3
+from keras.src.applications.efficientnet import EfficientNetB4 as EfficientNetB4
+from keras.src.applications.efficientnet import EfficientNetB5 as EfficientNetB5
+from keras.src.applications.efficientnet import EfficientNetB6 as EfficientNetB6
+from keras.src.applications.efficientnet import EfficientNetB7 as EfficientNetB7
+from keras.src.applications.efficientnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.efficientnet import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/efficientnet_v2/__init__.py

@@ -0,0 +1,33 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B0 as EfficientNetV2B0,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B1 as EfficientNetV2B1,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B2 as EfficientNetV2B2,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2B3 as EfficientNetV2B3,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2L as EfficientNetV2L,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2M as EfficientNetV2M,
+)
+from keras.src.applications.efficientnet_v2 import (
+    EfficientNetV2S as EfficientNetV2S,
+)
+from keras.src.applications.efficientnet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.efficientnet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/imagenet_utils/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.imagenet_utils import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.imagenet_utils import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/inception_resnet_v2/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.inception_resnet_v2 import (
+    InceptionResNetV2 as InceptionResNetV2,
+)
+from keras.src.applications.inception_resnet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.inception_resnet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/inception_v3/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.inception_v3 import InceptionV3 as InceptionV3
+from keras.src.applications.inception_v3 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.inception_v3 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/mobilenet/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.mobilenet import MobileNet as MobileNet
+from keras.src.applications.mobilenet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.mobilenet import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/mobilenet_v2/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.mobilenet_v2 import MobileNetV2 as MobileNetV2
+from keras.src.applications.mobilenet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.mobilenet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/mobilenet_v3/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.mobilenet_v3 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.mobilenet_v3 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/nasnet/__init__.py

@@ -0,0 +1,12 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.nasnet import NASNetLarge as NASNetLarge
+from keras.src.applications.nasnet import NASNetMobile as NASNetMobile
+from keras.src.applications.nasnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.nasnet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/resnet/__init__.py

@@ -0,0 +1,13 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.resnet import ResNet50 as ResNet50
+from keras.src.applications.resnet import ResNet101 as ResNet101
+from keras.src.applications.resnet import ResNet152 as ResNet152
+from keras.src.applications.resnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.resnet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/resnet50/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.resnet import ResNet50 as ResNet50
+from keras.src.applications.resnet import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.resnet import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/resnet_v2/__init__.py

@@ -0,0 +1,15 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
+from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
+from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.resnet_v2 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.resnet_v2 import (
+    preprocess_input as preprocess_input,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/vgg16/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.vgg16 import VGG16 as VGG16
+from keras.src.applications.vgg16 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.vgg16 import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/vgg19/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.vgg19 import VGG19 as VGG19
+from keras.src.applications.vgg19 import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.vgg19 import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/applications/xception/__init__.py

@@ -0,0 +1,11 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.applications.xception import Xception as Xception
+from keras.src.applications.xception import (
+    decode_predictions as decode_predictions,
+)
+from keras.src.applications.xception import preprocess_input as preprocess_input

WebServer/AIPython/python/lib/python3.11/site-packages/keras/backend/__init__.py

@@ -0,0 +1,26 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.backend.common.dtypes import result_type as result_type
+from keras.src.backend.common.global_state import clear_session as clear_session
+from keras.src.backend.common.keras_tensor import (
+    is_keras_tensor as is_keras_tensor,
+)
+from keras.src.backend.common.variables import is_float_dtype as is_float_dtype
+from keras.src.backend.common.variables import is_int_dtype as is_int_dtype
+from keras.src.backend.common.variables import (
+    standardize_dtype as standardize_dtype,
+)
+from keras.src.backend.config import backend as backend
+from keras.src.backend.config import epsilon as epsilon
+from keras.src.backend.config import floatx as floatx
+from keras.src.backend.config import image_data_format as image_data_format
+from keras.src.backend.config import set_epsilon as set_epsilon
+from keras.src.backend.config import set_floatx as set_floatx
+from keras.src.backend.config import (
+    set_image_data_format as set_image_data_format,
+)
+from keras.src.utils.naming import get_uid as get_uid

WebServer/AIPython/python/lib/python3.11/site-packages/keras/callbacks/__init__.py

@@ -0,0 +1,33 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.callbacks.backup_and_restore import (
+    BackupAndRestore as BackupAndRestore,
+)
+from keras.src.callbacks.callback import Callback as Callback
+from keras.src.callbacks.callback_list import CallbackList as CallbackList
+from keras.src.callbacks.csv_logger import CSVLogger as CSVLogger
+from keras.src.callbacks.early_stopping import EarlyStopping as EarlyStopping
+from keras.src.callbacks.history import History as History
+from keras.src.callbacks.lambda_callback import LambdaCallback as LambdaCallback
+from keras.src.callbacks.learning_rate_scheduler import (
+    LearningRateScheduler as LearningRateScheduler,
+)
+from keras.src.callbacks.model_checkpoint import (
+    ModelCheckpoint as ModelCheckpoint,
+)
+from keras.src.callbacks.progbar_logger import ProgbarLogger as ProgbarLogger
+from keras.src.callbacks.reduce_lr_on_plateau import (
+    ReduceLROnPlateau as ReduceLROnPlateau,
+)
+from keras.src.callbacks.remote_monitor import RemoteMonitor as RemoteMonitor
+from keras.src.callbacks.swap_ema_weights import (
+    SwapEMAWeights as SwapEMAWeights,
+)
+from keras.src.callbacks.tensorboard import TensorBoard as TensorBoard
+from keras.src.callbacks.terminate_on_nan import (
+    TerminateOnNaN as TerminateOnNaN,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/config/__init__.py

@@ -0,0 +1,57 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.backend.config import backend as backend
+from keras.src.backend.config import (
+    disable_flash_attention as disable_flash_attention,
+)
+from keras.src.backend.config import (
+    enable_flash_attention as enable_flash_attention,
+)
+from keras.src.backend.config import epsilon as epsilon
+from keras.src.backend.config import floatx as floatx
+from keras.src.backend.config import image_data_format as image_data_format
+from keras.src.backend.config import (
+    is_flash_attention_enabled as is_flash_attention_enabled,
+)
+from keras.src.backend.config import is_nnx_enabled as is_nnx_enabled
+from keras.src.backend.config import max_epochs as max_epochs
+from keras.src.backend.config import max_steps_per_epoch as max_steps_per_epoch
+from keras.src.backend.config import set_epsilon as set_epsilon
+from keras.src.backend.config import set_floatx as set_floatx
+from keras.src.backend.config import (
+    set_image_data_format as set_image_data_format,
+)
+from keras.src.backend.config import set_max_epochs as set_max_epochs
+from keras.src.backend.config import (
+    set_max_steps_per_epoch as set_max_steps_per_epoch,
+)
+from keras.src.dtype_policies.dtype_policy import dtype_policy as dtype_policy
+from keras.src.dtype_policies.dtype_policy import (
+    set_dtype_policy as set_dtype_policy,
+)
+from keras.src.saving.serialization_lib import (
+    enable_unsafe_deserialization as enable_unsafe_deserialization,
+)
+from keras.src.utils.backend_utils import set_backend as set_backend
+from keras.src.utils.io_utils import (
+    disable_interactive_logging as disable_interactive_logging,
+)
+from keras.src.utils.io_utils import (
+    enable_interactive_logging as enable_interactive_logging,
+)
+from keras.src.utils.io_utils import (
+    is_interactive_logging_enabled as is_interactive_logging_enabled,
+)
+from keras.src.utils.traceback_utils import (
+    disable_traceback_filtering as disable_traceback_filtering,
+)
+from keras.src.utils.traceback_utils import (
+    enable_traceback_filtering as enable_traceback_filtering,
+)
+from keras.src.utils.traceback_utils import (
+    is_traceback_filtering_enabled as is_traceback_filtering_enabled,
+)

WebServer/AIPython/python/lib/python3.11/site-packages/keras/constraints/__init__.py

@@ -0,0 +1,18 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.constraints import deserialize as deserialize
+from keras.src.constraints import get as get
+from keras.src.constraints import serialize as serialize
+from keras.src.constraints.constraints import Constraint as Constraint
+from keras.src.constraints.constraints import MaxNorm as MaxNorm
+from keras.src.constraints.constraints import MaxNorm as max_norm
+from keras.src.constraints.constraints import MinMaxNorm as MinMaxNorm
+from keras.src.constraints.constraints import MinMaxNorm as min_max_norm
+from keras.src.constraints.constraints import NonNeg as NonNeg
+from keras.src.constraints.constraints import NonNeg as non_neg
+from keras.src.constraints.constraints import UnitNorm as UnitNorm
+from keras.src.constraints.constraints import UnitNorm as unit_norm

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/__init__.py

@@ -0,0 +1,14 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.datasets import boston_housing as boston_housing
+from keras.datasets import california_housing as california_housing
+from keras.datasets import cifar10 as cifar10
+from keras.datasets import cifar100 as cifar100
+from keras.datasets import fashion_mnist as fashion_mnist
+from keras.datasets import imdb as imdb
+from keras.datasets import mnist as mnist
+from keras.datasets import reuters as reuters

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/boston_housing/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.boston_housing import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/california_housing/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.california_housing import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/cifar10/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.cifar10 import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/cifar100/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.cifar100 import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/fashion_mnist/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.fashion_mnist import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/imdb/__init__.py

@@ -0,0 +1,8 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.imdb import get_word_index as get_word_index
+from keras.src.datasets.imdb import load_data as load_data

WebServer/AIPython/python/lib/python3.11/site-packages/keras/datasets/mnist/__init__.py

@@ -0,0 +1,7 @@
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras.src.datasets.mnist import load_data as load_data