One time fix to _tf_keras API.

keras/api/__init__.py

@@ -4,7 +4,6 @@
 since your modifications would be overwritten.
 """
 
-from keras.api import _tf_keras
 from keras.api import activations
 from keras.api import applications
 from keras.api import backend

keras/api/_tf_keras/keras/__init__.py

@@ -6,7 +6,6 @@
 
 from keras.api import activations
 from keras.api import applications
-from keras.api import backend
 from keras.api import callbacks
 from keras.api import config
 from keras.api import constraints
@@ -15,19 +14,15 @@
 from keras.api import dtype_policies
 from keras.api import export
 from keras.api import initializers
-from keras.api import layers
 from keras.api import legacy
-from keras.api import losses
 from keras.api import metrics
 from keras.api import mixed_precision
 from keras.api import models
 from keras.api import ops
 from keras.api import optimizers
-from keras.api import preprocessing
 from keras.api import quantizers
 from keras.api import random
 from keras.api import regularizers
-from keras.api import saving
 from keras.api import tree
 from keras.api import utils
 from keras.src.backend.common.keras_tensor import KerasTensor
@@ -37,6 +32,7 @@
 from keras.src.backend.exports import name_scope
 from keras.src.dtype_policies.dtype_policy import DTypePolicy
 from keras.src.dtype_policies.dtype_policy import FloatDTypePolicy
+from keras.src.dtype_policies.dtype_policy import QuantizedDTypePolicy
 from keras.src.initializers.initializer import Initializer
 from keras.src.layers.core.input_layer import Input
 from keras.src.layers.input_spec import InputSpec
@@ -48,7 +44,20 @@
 from keras.src.ops.function import Function
 from keras.src.ops.operation import Operation
 from keras.src.optimizers.optimizer import Optimizer
+from keras.src.quantizers.quantizers import AbsMaxQuantizer
 from keras.src.quantizers.quantizers import Quantizer
 from keras.src.regularizers.regularizers import Regularizer
-from keras.src.version import __version__
 from keras.src.version import version
+
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+
+from keras._tf_keras.keras import backend
+from keras._tf_keras.keras import layers
+from keras._tf_keras.keras import losses
+from keras._tf_keras.keras import metrics
+from keras._tf_keras.keras import preprocessing

keras/api/_tf_keras/keras/backend/__init__.py

@@ -18,3 +18,134 @@
 from keras.src.backend.config import set_floatx
 from keras.src.backend.config import set_image_data_format
 from keras.src.utils.naming import get_uid
+
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+
+from keras.src.legacy.backend import abs
+from keras.src.legacy.backend import all
+from keras.src.legacy.backend import any
+from keras.src.legacy.backend import arange
+from keras.src.legacy.backend import argmax
+from keras.src.legacy.backend import argmin
+from keras.src.legacy.backend import batch_dot
+from keras.src.legacy.backend import batch_flatten
+from keras.src.legacy.backend import batch_get_value
+from keras.src.legacy.backend import batch_normalization
+from keras.src.legacy.backend import batch_set_value
+from keras.src.legacy.backend import bias_add
+from keras.src.legacy.backend import binary_crossentropy
+from keras.src.legacy.backend import binary_focal_crossentropy
+from keras.src.legacy.backend import cast
+from keras.src.legacy.backend import cast_to_floatx
+from keras.src.legacy.backend import categorical_crossentropy
+from keras.src.legacy.backend import categorical_focal_crossentropy
+from keras.src.legacy.backend import clip
+from keras.src.legacy.backend import concatenate
+from keras.src.legacy.backend import constant
+from keras.src.legacy.backend import conv1d
+from keras.src.legacy.backend import conv2d
+from keras.src.legacy.backend import conv2d_transpose
+from keras.src.legacy.backend import conv3d
+from keras.src.legacy.backend import cos
+from keras.src.legacy.backend import count_params
+from keras.src.legacy.backend import ctc_batch_cost
+from keras.src.legacy.backend import ctc_decode
+from keras.src.legacy.backend import ctc_label_dense_to_sparse
+from keras.src.legacy.backend import cumprod
+from keras.src.legacy.backend import cumsum
+from keras.src.legacy.backend import depthwise_conv2d
+from keras.src.legacy.backend import dot
+from keras.src.legacy.backend import dropout
+from keras.src.legacy.backend import dtype
+from keras.src.legacy.backend import elu
+from keras.src.legacy.backend import equal
+from keras.src.legacy.backend import eval
+from keras.src.legacy.backend import exp
+from keras.src.legacy.backend import expand_dims
+from keras.src.legacy.backend import eye
+from keras.src.legacy.backend import flatten
+from keras.src.legacy.backend import foldl
+from keras.src.legacy.backend import foldr
+from keras.src.legacy.backend import gather
+from keras.src.legacy.backend import get_value
+from keras.src.legacy.backend import gradients
+from keras.src.legacy.backend import greater
+from keras.src.legacy.backend import greater_equal
+from keras.src.legacy.backend import hard_sigmoid
+from keras.src.legacy.backend import in_top_k
+from keras.src.legacy.backend import int_shape
+from keras.src.legacy.backend import is_sparse
+from keras.src.legacy.backend import l2_normalize
+from keras.src.legacy.backend import less
+from keras.src.legacy.backend import less_equal
+from keras.src.legacy.backend import log
+from keras.src.legacy.backend import map_fn
+from keras.src.legacy.backend import max
+from keras.src.legacy.backend import maximum
+from keras.src.legacy.backend import mean
+from keras.src.legacy.backend import min
+from keras.src.legacy.backend import minimum
+from keras.src.legacy.backend import moving_average_update
+from keras.src.legacy.backend import name_scope
+from keras.src.legacy.backend import ndim
+from keras.src.legacy.backend import not_equal
+from keras.src.legacy.backend import one_hot
+from keras.src.legacy.backend import ones
+from keras.src.legacy.backend import ones_like
+from keras.src.legacy.backend import permute_dimensions
+from keras.src.legacy.backend import pool2d
+from keras.src.legacy.backend import pool3d
+from keras.src.legacy.backend import pow
+from keras.src.legacy.backend import prod
+from keras.src.legacy.backend import random_bernoulli
+from keras.src.legacy.backend import random_normal
+from keras.src.legacy.backend import random_normal_variable
+from keras.src.legacy.backend import random_uniform
+from keras.src.legacy.backend import random_uniform_variable
+from keras.src.legacy.backend import relu
+from keras.src.legacy.backend import repeat
+from keras.src.legacy.backend import repeat_elements
+from keras.src.legacy.backend import reshape
+from keras.src.legacy.backend import resize_images
+from keras.src.legacy.backend import resize_volumes
+from keras.src.legacy.backend import reverse
+from keras.src.legacy.backend import rnn
+from keras.src.legacy.backend import round
+from keras.src.legacy.backend import separable_conv2d
+from keras.src.legacy.backend import set_value
+from keras.src.legacy.backend import shape
+from keras.src.legacy.backend import sigmoid
+from keras.src.legacy.backend import sign
+from keras.src.legacy.backend import sin
+from keras.src.legacy.backend import softmax
+from keras.src.legacy.backend import softplus
+from keras.src.legacy.backend import softsign
+from keras.src.legacy.backend import sparse_categorical_crossentropy
+from keras.src.legacy.backend import spatial_2d_padding
+from keras.src.legacy.backend import spatial_3d_padding
+from keras.src.legacy.backend import sqrt
+from keras.src.legacy.backend import square
+from keras.src.legacy.backend import squeeze
+from keras.src.legacy.backend import stack
+from keras.src.legacy.backend import std
+from keras.src.legacy.backend import stop_gradient
+from keras.src.legacy.backend import sum
+from keras.src.legacy.backend import switch
+from keras.src.legacy.backend import tanh
+from keras.src.legacy.backend import temporal_padding
+from keras.src.legacy.backend import tile
+from keras.src.legacy.backend import to_dense
+from keras.src.legacy.backend import transpose
+from keras.src.legacy.backend import truncated_normal
+from keras.src.legacy.backend import update
+from keras.src.legacy.backend import update_add
+from keras.src.legacy.backend import update_sub
+from keras.src.legacy.backend import var
+from keras.src.legacy.backend import variable
+from keras.src.legacy.backend import zeros
+from keras.src.legacy.backend import zeros_like

keras/api/_tf_keras/keras/layers/__init__.py

@@ -193,3 +193,15 @@
 from keras.src.utils.jax_layer import FlaxLayer
 from keras.src.utils.jax_layer import JaxLayer
 from keras.src.utils.torch_utils import TorchModuleWrapper
+
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+
+from keras.src.legacy.layers import AlphaDropout
+from keras.src.legacy.layers import RandomHeight
+from keras.src.legacy.layers import RandomWidth
+from keras.src.legacy.layers import ThresholdedReLU

keras/api/_tf_keras/keras/losses/__init__.py

@@ -8,9 +8,9 @@
 from keras.src.losses import get
 from keras.src.losses import serialize
 from keras.src.losses.loss import Loss
-from keras.src.losses.losses import CTC
 from keras.src.losses.losses import BinaryCrossentropy
 from keras.src.losses.losses import BinaryFocalCrossentropy
+from keras.src.losses.losses import CTC
 from keras.src.losses.losses import CategoricalCrossentropy
 from keras.src.losses.losses import CategoricalFocalCrossentropy
 from keras.src.losses.losses import CategoricalHinge
@@ -48,3 +48,24 @@
 from keras.src.losses.losses import sparse_categorical_crossentropy
 from keras.src.losses.losses import squared_hinge
 from keras.src.losses.losses import tversky
+
+"""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
+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

keras/api/_tf_keras/keras/metrics/__init__.py

@@ -74,3 +74,23 @@
 from keras.src.metrics.regression_metrics import MeanSquaredLogarithmicError
 from keras.src.metrics.regression_metrics import R2Score
 from keras.src.metrics.regression_metrics import RootMeanSquaredError
+
+"""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 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

keras/api/_tf_keras/keras/preprocessing/__init__.py

@@ -4,10 +4,21 @@
 since your modifications would be overwritten.
 """
 
-from keras.api.preprocessing import image
-from keras.api.preprocessing import sequence
+from keras._tf_keras.keras.preprocessing import image
+from keras._tf_keras.keras.preprocessing import sequence
 from keras.src.utils.image_dataset_utils import image_dataset_from_directory
 from keras.src.utils.text_dataset_utils import text_dataset_from_directory
 from keras.src.utils.timeseries_dataset_utils import (
     timeseries_dataset_from_array,
 )
+
+"""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
+from keras._tf_keras.keras.preprocessing import sequence
+from keras._tf_keras.keras.preprocessing import text

keras/api/_tf_keras/keras/preprocessing/image/__init__.py

@@ -9,3 +9,24 @@
 from keras.src.utils.image_utils import load_img
 from keras.src.utils.image_utils import save_img
 from keras.src.utils.image_utils import smart_resize
+
+"""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
+from keras.src.legacy.preprocessing.image import ImageDataGenerator
+from keras.src.legacy.preprocessing.image import Iterator
+from keras.src.legacy.preprocessing.image import NumpyArrayIterator
+from keras.src.legacy.preprocessing.image import apply_affine_transform
+from keras.src.legacy.preprocessing.image import apply_brightness_shift
+from keras.src.legacy.preprocessing.image import apply_channel_shift
+from keras.src.legacy.preprocessing.image import random_brightness
+from keras.src.legacy.preprocessing.image import random_channel_shift
+from keras.src.legacy.preprocessing.image import random_rotation
+from keras.src.legacy.preprocessing.image import random_shear
+from keras.src.legacy.preprocessing.image import random_shift
+from keras.src.legacy.preprocessing.image import random_zoom

keras/api/_tf_keras/keras/preprocessing/sequence/__init__.py

@@ -5,3 +5,14 @@
 """
 
 from keras.src.utils.sequence_utils import pad_sequences
+
+"""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
+from keras.src.legacy.preprocessing.sequence import make_sampling_table
+from keras.src.legacy.preprocessing.sequence import skipgrams

keras/api/_tf_keras/keras/preprocessing/text/__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.legacy.preprocessing.text import Tokenizer
+from keras.src.legacy.preprocessing.text import hashing_trick
+from keras.src.legacy.preprocessing.text import one_hot
+from keras.src.legacy.preprocessing.text import text_to_word_sequence
+from keras.src.legacy.preprocessing.text import tokenizer_from_json

keras/src/version.py

@@ -1,7 +1,7 @@
 from keras.src.api_export import keras_export
 
 # Unique source of truth for the version number.
-__version__ = "3.3.1"
+__version__ = "3.3.2"
 
 
 @keras_export("keras.version")

pip_build.py

@@ -84,8 +84,11 @@ def build(root_path, is_nightly=False, rc_index=None):
     try:
         copy_source_to_build_directory(root_path)
         create_legacy_directory()
-        from keras.src.version import __version__  # noqa: E402
+        print(os.getcwd())
 
+        # from keras.src.version import __version__  # noqa: E402
+
+        __version__ = "3.3.2"
         export_version_string(__version__, is_nightly, rc_index)
         return build_and_save_output(root_path, __version__)
     finally: