wehub-resource-sync
352 lines
17 KiB
Python
352 lines
17 KiB
Python
"""DO NOT EDIT.
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This file was autogenerated. Do not edit it by hand,
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since your modifications would be overwritten.
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"""
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from keras.ops import image as image
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from keras.ops import linalg as linalg
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from keras.ops import nn as nn
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from keras.ops import numpy as numpy
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from keras.src.ops.core import associative_scan as associative_scan
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from keras.src.ops.core import cast as cast
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from keras.src.ops.core import cond as cond
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from keras.src.ops.core import convert_to_numpy as convert_to_numpy
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from keras.src.ops.core import convert_to_tensor as convert_to_tensor
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from keras.src.ops.core import custom_gradient as custom_gradient
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from keras.src.ops.core import dtype as dtype
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from keras.src.ops.core import fori_loop as fori_loop
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from keras.src.ops.core import is_tensor as is_tensor
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from keras.src.ops.core import map as map
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from keras.src.ops.core import saturate_cast as saturate_cast
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from keras.src.ops.core import scan as scan
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from keras.src.ops.core import scatter as scatter
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from keras.src.ops.core import scatter_update as scatter_update
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from keras.src.ops.core import shape as shape
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from keras.src.ops.core import slice as slice
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from keras.src.ops.core import slice_update as slice_update
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from keras.src.ops.core import stop_gradient as stop_gradient
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from keras.src.ops.core import switch as switch
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from keras.src.ops.core import unstack as unstack
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from keras.src.ops.core import vectorized_map as vectorized_map
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from keras.src.ops.core import while_loop as while_loop
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from keras.src.ops.einops import rearrange as rearrange
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from keras.src.ops.linalg import cholesky as cholesky
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from keras.src.ops.linalg import cholesky_inverse as cholesky_inverse
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from keras.src.ops.linalg import det as det
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from keras.src.ops.linalg import eig as eig
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from keras.src.ops.linalg import eigh as eigh
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from keras.src.ops.linalg import inv as inv
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from keras.src.ops.linalg import jvp as jvp
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from keras.src.ops.linalg import lstsq as lstsq
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from keras.src.ops.linalg import lu_factor as lu_factor
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from keras.src.ops.linalg import matrix_rank as matrix_rank
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from keras.src.ops.linalg import norm as norm
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from keras.src.ops.linalg import pinv as pinv
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from keras.src.ops.linalg import qr as qr
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from keras.src.ops.linalg import solve as solve
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from keras.src.ops.linalg import solve_triangular as solve_triangular
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from keras.src.ops.linalg import svd as svd
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from keras.src.ops.math import cdist as cdist
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from keras.src.ops.math import erf as erf
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from keras.src.ops.math import erfc as erfc
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from keras.src.ops.math import erfinv as erfinv
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from keras.src.ops.math import extract_sequences as extract_sequences
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from keras.src.ops.math import fft as fft
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from keras.src.ops.math import fft2 as fft2
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from keras.src.ops.math import ifft2 as ifft2
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from keras.src.ops.math import in_top_k as in_top_k
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from keras.src.ops.math import irfft as irfft
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from keras.src.ops.math import istft as istft
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from keras.src.ops.math import logdet as logdet
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from keras.src.ops.math import logsumexp as logsumexp
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from keras.src.ops.math import rfft as rfft
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from keras.src.ops.math import rsqrt as rsqrt
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from keras.src.ops.math import segment_max as segment_max
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from keras.src.ops.math import segment_min as segment_min
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from keras.src.ops.math import segment_prod as segment_prod
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from keras.src.ops.math import segment_sum as segment_sum
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from keras.src.ops.math import stft as stft
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from keras.src.ops.math import top_k as top_k
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from keras.src.ops.math import view_as_complex as view_as_complex
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from keras.src.ops.math import view_as_real as view_as_real
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from keras.src.ops.nn import adaptive_average_pool as adaptive_average_pool
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from keras.src.ops.nn import adaptive_max_pool as adaptive_max_pool
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from keras.src.ops.nn import average_pool as average_pool
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from keras.src.ops.nn import batch_normalization as batch_normalization
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from keras.src.ops.nn import binary_crossentropy as binary_crossentropy
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from keras.src.ops.nn import (
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categorical_crossentropy as categorical_crossentropy,
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)
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from keras.src.ops.nn import celu as celu
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from keras.src.ops.nn import conv as conv
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from keras.src.ops.nn import conv_transpose as conv_transpose
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from keras.src.ops.nn import ctc_decode as ctc_decode
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from keras.src.ops.nn import ctc_loss as ctc_loss
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from keras.src.ops.nn import depth_to_space as depth_to_space
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from keras.src.ops.nn import depthwise_conv as depthwise_conv
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from keras.src.ops.nn import dot_product_attention as dot_product_attention
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from keras.src.ops.nn import elu as elu
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from keras.src.ops.nn import fold as fold
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from keras.src.ops.nn import gelu as gelu
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from keras.src.ops.nn import glu as glu
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from keras.src.ops.nn import hard_shrink as hard_shrink
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from keras.src.ops.nn import hard_sigmoid as hard_sigmoid
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from keras.src.ops.nn import hard_silu as hard_silu
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from keras.src.ops.nn import hard_silu as hard_swish
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from keras.src.ops.nn import hard_tanh as hard_tanh
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from keras.src.ops.nn import layer_normalization as layer_normalization
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from keras.src.ops.nn import leaky_relu as leaky_relu
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from keras.src.ops.nn import log_sigmoid as log_sigmoid
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from keras.src.ops.nn import log_softmax as log_softmax
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from keras.src.ops.nn import max_pool as max_pool
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from keras.src.ops.nn import moments as moments
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from keras.src.ops.nn import multi_hot as multi_hot
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from keras.src.ops.nn import normalize as normalize
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from keras.src.ops.nn import one_hot as one_hot
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from keras.src.ops.nn import polar as polar
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from keras.src.ops.nn import psnr as psnr
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from keras.src.ops.nn import relu as relu
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from keras.src.ops.nn import relu6 as relu6
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from keras.src.ops.nn import rms_normalization as rms_normalization
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from keras.src.ops.nn import selu as selu
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from keras.src.ops.nn import separable_conv as separable_conv
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from keras.src.ops.nn import sigmoid as sigmoid
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from keras.src.ops.nn import silu as silu
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from keras.src.ops.nn import silu as swish
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from keras.src.ops.nn import soft_shrink as soft_shrink
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from keras.src.ops.nn import softmax as softmax
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from keras.src.ops.nn import softplus as softplus
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from keras.src.ops.nn import softsign as softsign
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from keras.src.ops.nn import space_to_depth as space_to_depth
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from keras.src.ops.nn import (
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sparse_categorical_crossentropy as sparse_categorical_crossentropy,
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)
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from keras.src.ops.nn import sparse_plus as sparse_plus
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from keras.src.ops.nn import sparse_sigmoid as sparse_sigmoid
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from keras.src.ops.nn import sparsemax as sparsemax
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from keras.src.ops.nn import squareplus as squareplus
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from keras.src.ops.nn import tanh_shrink as tanh_shrink
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from keras.src.ops.nn import threshold as threshold
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from keras.src.ops.nn import unfold as unfold
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from keras.src.ops.numpy import abs as abs
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from keras.src.ops.numpy import absolute as absolute
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from keras.src.ops.numpy import add as add
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from keras.src.ops.numpy import all as all
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from keras.src.ops.numpy import allclose as allclose
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from keras.src.ops.numpy import amax as amax
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from keras.src.ops.numpy import amin as amin
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from keras.src.ops.numpy import angle as angle
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from keras.src.ops.numpy import any as any
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from keras.src.ops.numpy import append as append
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from keras.src.ops.numpy import arange as arange
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from keras.src.ops.numpy import arccos as arccos
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from keras.src.ops.numpy import arccosh as arccosh
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from keras.src.ops.numpy import arcsin as arcsin
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from keras.src.ops.numpy import arcsinh as arcsinh
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from keras.src.ops.numpy import arctan as arctan
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from keras.src.ops.numpy import arctan2 as arctan2
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from keras.src.ops.numpy import arctanh as arctanh
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from keras.src.ops.numpy import argmax as argmax
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from keras.src.ops.numpy import argmin as argmin
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from keras.src.ops.numpy import argpartition as argpartition
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from keras.src.ops.numpy import argsort as argsort
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from keras.src.ops.numpy import array as array
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from keras.src.ops.numpy import array_split as array_split
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from keras.src.ops.numpy import average as average
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from keras.src.ops.numpy import bartlett as bartlett
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from keras.src.ops.numpy import bincount as bincount
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from keras.src.ops.numpy import bitwise_and as bitwise_and
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from keras.src.ops.numpy import bitwise_invert as bitwise_invert
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from keras.src.ops.numpy import bitwise_left_shift as bitwise_left_shift
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from keras.src.ops.numpy import bitwise_not as bitwise_not
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from keras.src.ops.numpy import bitwise_or as bitwise_or
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from keras.src.ops.numpy import bitwise_right_shift as bitwise_right_shift
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from keras.src.ops.numpy import bitwise_xor as bitwise_xor
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from keras.src.ops.numpy import blackman as blackman
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from keras.src.ops.numpy import broadcast_to as broadcast_to
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from keras.src.ops.numpy import cbrt as cbrt
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from keras.src.ops.numpy import ceil as ceil
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from keras.src.ops.numpy import clip as clip
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from keras.src.ops.numpy import concatenate as concatenate
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from keras.src.ops.numpy import conj as conj
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from keras.src.ops.numpy import conjugate as conjugate
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from keras.src.ops.numpy import copy as copy
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from keras.src.ops.numpy import corrcoef as corrcoef
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from keras.src.ops.numpy import correlate as correlate
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from keras.src.ops.numpy import cos as cos
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from keras.src.ops.numpy import cosh as cosh
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from keras.src.ops.numpy import count_nonzero as count_nonzero
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from keras.src.ops.numpy import cross as cross
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from keras.src.ops.numpy import cumprod as cumprod
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from keras.src.ops.numpy import cumsum as cumsum
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from keras.src.ops.numpy import deg2rad as deg2rad
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from keras.src.ops.numpy import diag as diag
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from keras.src.ops.numpy import diagflat as diagflat
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from keras.src.ops.numpy import diagonal as diagonal
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from keras.src.ops.numpy import diff as diff
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from keras.src.ops.numpy import digitize as digitize
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from keras.src.ops.numpy import divide as divide
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from keras.src.ops.numpy import divide_no_nan as divide_no_nan
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from keras.src.ops.numpy import dot as dot
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from keras.src.ops.numpy import dsplit as dsplit
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from keras.src.ops.numpy import dstack as dstack
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from keras.src.ops.numpy import einsum as einsum
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from keras.src.ops.numpy import empty as empty
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from keras.src.ops.numpy import empty_like as empty_like
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from keras.src.ops.numpy import equal as equal
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from keras.src.ops.numpy import exp as exp
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from keras.src.ops.numpy import exp2 as exp2
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from keras.src.ops.numpy import expand_dims as expand_dims
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from keras.src.ops.numpy import expm1 as expm1
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from keras.src.ops.numpy import eye as eye
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from keras.src.ops.numpy import fabs as fabs
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from keras.src.ops.numpy import flip as flip
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from keras.src.ops.numpy import fliplr as fliplr
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from keras.src.ops.numpy import flipud as flipud
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from keras.src.ops.numpy import floor as floor
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from keras.src.ops.numpy import floor_divide as floor_divide
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from keras.src.ops.numpy import fmax as fmax
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from keras.src.ops.numpy import fmin as fmin
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from keras.src.ops.numpy import fmod as fmod
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from keras.src.ops.numpy import full as full
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from keras.src.ops.numpy import full_like as full_like
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from keras.src.ops.numpy import gcd as gcd
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from keras.src.ops.numpy import geomspace as geomspace
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from keras.src.ops.numpy import get_item as get_item
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from keras.src.ops.numpy import greater as greater
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from keras.src.ops.numpy import greater_equal as greater_equal
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from keras.src.ops.numpy import hamming as hamming
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from keras.src.ops.numpy import hanning as hanning
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from keras.src.ops.numpy import heaviside as heaviside
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from keras.src.ops.numpy import histogram as histogram
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from keras.src.ops.numpy import hsplit as hsplit
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from keras.src.ops.numpy import hstack as hstack
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from keras.src.ops.numpy import hypot as hypot
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from keras.src.ops.numpy import i0 as i0
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from keras.src.ops.numpy import identity as identity
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from keras.src.ops.numpy import imag as imag
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from keras.src.ops.numpy import inner as inner
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from keras.src.ops.numpy import isclose as isclose
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from keras.src.ops.numpy import isfinite as isfinite
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from keras.src.ops.numpy import isin as isin
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from keras.src.ops.numpy import isinf as isinf
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from keras.src.ops.numpy import isnan as isnan
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from keras.src.ops.numpy import isneginf as isneginf
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from keras.src.ops.numpy import isposinf as isposinf
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from keras.src.ops.numpy import isreal as isreal
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from keras.src.ops.numpy import kaiser as kaiser
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from keras.src.ops.numpy import kron as kron
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from keras.src.ops.numpy import lcm as lcm
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from keras.src.ops.numpy import ldexp as ldexp
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from keras.src.ops.numpy import left_shift as left_shift
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from keras.src.ops.numpy import less as less
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from keras.src.ops.numpy import less_equal as less_equal
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from keras.src.ops.numpy import linspace as linspace
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from keras.src.ops.numpy import log as log
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from keras.src.ops.numpy import log1p as log1p
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from keras.src.ops.numpy import log2 as log2
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from keras.src.ops.numpy import log10 as log10
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from keras.src.ops.numpy import logaddexp as logaddexp
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from keras.src.ops.numpy import logaddexp2 as logaddexp2
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from keras.src.ops.numpy import logical_and as logical_and
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from keras.src.ops.numpy import logical_not as logical_not
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from keras.src.ops.numpy import logical_or as logical_or
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from keras.src.ops.numpy import logical_xor as logical_xor
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from keras.src.ops.numpy import logspace as logspace
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from keras.src.ops.numpy import matmul as matmul
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from keras.src.ops.numpy import max as max
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from keras.src.ops.numpy import maximum as maximum
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from keras.src.ops.numpy import mean as mean
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from keras.src.ops.numpy import median as median
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from keras.src.ops.numpy import meshgrid as meshgrid
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from keras.src.ops.numpy import min as min
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from keras.src.ops.numpy import minimum as minimum
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from keras.src.ops.numpy import mod as mod
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from keras.src.ops.numpy import moveaxis as moveaxis
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from keras.src.ops.numpy import multiply as multiply
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from keras.src.ops.numpy import nan_to_num as nan_to_num
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from keras.src.ops.numpy import nanargmax as nanargmax
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from keras.src.ops.numpy import nanargmin as nanargmin
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from keras.src.ops.numpy import nancumprod as nancumprod
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from keras.src.ops.numpy import nancumsum as nancumsum
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from keras.src.ops.numpy import nanmax as nanmax
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from keras.src.ops.numpy import nanmean as nanmean
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from keras.src.ops.numpy import nanmedian as nanmedian
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from keras.src.ops.numpy import nanmin as nanmin
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from keras.src.ops.numpy import nanpercentile as nanpercentile
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from keras.src.ops.numpy import nanprod as nanprod
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from keras.src.ops.numpy import nanquantile as nanquantile
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from keras.src.ops.numpy import nanstd as nanstd
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from keras.src.ops.numpy import nansum as nansum
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from keras.src.ops.numpy import nanvar as nanvar
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from keras.src.ops.numpy import ndim as ndim
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from keras.src.ops.numpy import negative as negative
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from keras.src.ops.numpy import nextafter as nextafter
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from keras.src.ops.numpy import nonzero as nonzero
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from keras.src.ops.numpy import not_equal as not_equal
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from keras.src.ops.numpy import ones as ones
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from keras.src.ops.numpy import ones_like as ones_like
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from keras.src.ops.numpy import outer as outer
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from keras.src.ops.numpy import pad as pad
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from keras.src.ops.numpy import percentile as percentile
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from keras.src.ops.numpy import power as power
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from keras.src.ops.numpy import prod as prod
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from keras.src.ops.numpy import ptp as ptp
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from keras.src.ops.numpy import quantile as quantile
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from keras.src.ops.numpy import rad2deg as rad2deg
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from keras.src.ops.numpy import ravel as ravel
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from keras.src.ops.numpy import real as real
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from keras.src.ops.numpy import reciprocal as reciprocal
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from keras.src.ops.numpy import repeat as repeat
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from keras.src.ops.numpy import reshape as reshape
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from keras.src.ops.numpy import right_shift as right_shift
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from keras.src.ops.numpy import roll as roll
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from keras.src.ops.numpy import rot90 as rot90
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from keras.src.ops.numpy import round as round
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from keras.src.ops.numpy import searchsorted as searchsorted
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from keras.src.ops.numpy import select as select
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from keras.src.ops.numpy import sign as sign
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from keras.src.ops.numpy import signbit as signbit
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from keras.src.ops.numpy import sin as sin
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from keras.src.ops.numpy import sinc as sinc
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from keras.src.ops.numpy import sinh as sinh
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from keras.src.ops.numpy import size as size
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from keras.src.ops.numpy import slogdet as slogdet
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from keras.src.ops.numpy import sort as sort
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from keras.src.ops.numpy import split as split
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from keras.src.ops.numpy import sqrt as sqrt
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from keras.src.ops.numpy import square as square
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from keras.src.ops.numpy import squeeze as squeeze
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from keras.src.ops.numpy import stack as stack
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from keras.src.ops.numpy import std as std
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from keras.src.ops.numpy import subtract as subtract
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from keras.src.ops.numpy import sum as sum
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from keras.src.ops.numpy import swapaxes as swapaxes
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from keras.src.ops.numpy import take as take
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from keras.src.ops.numpy import take_along_axis as take_along_axis
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from keras.src.ops.numpy import tan as tan
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from keras.src.ops.numpy import tanh as tanh
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from keras.src.ops.numpy import tensordot as tensordot
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from keras.src.ops.numpy import tile as tile
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from keras.src.ops.numpy import trace as trace
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from keras.src.ops.numpy import transpose as transpose
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from keras.src.ops.numpy import trapezoid as trapezoid
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from keras.src.ops.numpy import tri as tri
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from keras.src.ops.numpy import tril as tril
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from keras.src.ops.numpy import triu as triu
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from keras.src.ops.numpy import true_divide as true_divide
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from keras.src.ops.numpy import trunc as trunc
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from keras.src.ops.numpy import unique as unique
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from keras.src.ops.numpy import unravel_index as unravel_index
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from keras.src.ops.numpy import vander as vander
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from keras.src.ops.numpy import var as var
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from keras.src.ops.numpy import vdot as vdot
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from keras.src.ops.numpy import vectorize as vectorize
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from keras.src.ops.numpy import view as view
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from keras.src.ops.numpy import vsplit as vsplit
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from keras.src.ops.numpy import vstack as vstack
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from keras.src.ops.numpy import where as where
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from keras.src.ops.numpy import zeros as zeros
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from keras.src.ops.numpy import zeros_like as zeros_like
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