Tensorflow 2.0 函数手册(非官方文档)

前言

原文是转自知乎极相 空林玄一的文章。在她的基础上，我会尽可能的对每个函数的功能进行说明。文档会长期进行编辑，直到完全补全为止。网上的tf2.0的官方文档，或者中文系统资料大多数是从功能和使用的角度进行排序的。可能并不是方便查阅。本文只对函数的作用和功能以及使用方法进行介绍，不涉及原理，只是方便有需求者进行查阅。如有需求请移步官方文档。
import tensorflow
print(tensorflow.version)
（目前还不全，还在测试学习中，会陆续更新，争取5月以前搞定。。。）

tensorflow.audio

音频的处理模块。

tensorflow.audio.decode_wav

用于音频的解码，解码的文件要求是16进制

tf.audio.decode_wav(
    contents,
    desired_channels=-1,
    desired_samples=-1,
    name=None
)
# content 是一个张量，是读取一个wav格式的音频文件后，储存成张量的形式
# desired_channels 是想要的音频文件的通道数
# desired_samples 是想要的音频文件的采样数（长度）

测试实例

import tensorflow as tf
import tensorflow.compat.v1 as tf1
import wave
import numpy as np
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "2"
tf1.disable_eager_execution()
# np.set_printoptions(threshold=np.inf)
f = wave.open(r"D:\gongyong\csdn\Heaven.wav","rb")
params = f.getparams()
nchannels, sampwidth, framerate, nframes = params[:4]
#读取波形数据
#读取声音数据，传递一个参数指定需要读取的长度（以取样点为单位）
str_data  = f.readframes(nframes)
print(f)
print(params)
print(str_data)
f.close()
#将波形数据转换成数组
#需要根据声道数和量化单位，将读取的二进制数据转换为一个可以计算的数组
wave_data = np.frombuffer(str_data,dtype = np.short)
wave_data_list = list(wave_data)
print(len(wave_data_list))
wave_data = np.delete(wave_data,wave_data_list[39571796])
print(type(wave_data))
#将wave_data数组改为2列，行数自动匹配。在修改shape的属性时，需使得数组的总长度不变。
wave_data.shape = -1,2
wave_data = wave_data.T
wave_data = wave_data.astype(np.float32, order='C')/ 32768.0
wave_data_a = str(wave_data)
tensor_a=tf.convert_to_tensor(wave_data_a)
print(tensor_a)
m = tf.audio.decode_wav(
    tensor_a,
    desired_channels=-1,
    desired_samples=-1,
    name=None
)
print(m)

测试结果

[  2611 -18432      5 ...      0      0      0]
Tensor("Const:0", shape=(), dtype=string)
DecodeWav(audio=<tf.Tensor 'DecodeWav:0' shape=(None, None) dtype=float32>, sample_rate=<tf.Tensor 'DecodeWav:1' shape=() dtype=int32>)

这里面wave_data必须经过str转化。
否则会报错。而wave_data提取出来是一维的ndarray的格式。

调试过程中的另一个问题，因为我使用的音频是一个双通道的音乐，因此读取完以后需要转换成两列。结果报错了，错误内容见下贴。
ValueError: cannot reshape array of size 39571797 into shape (2,newaxis)

tensorflow.audio.encode_wav

用于音频的编码，要求输入的张量为 float.32

 tf.audio.encode_wav(
        audio,
        sample_rate,
        name=None
    )
 # audio 为一个张量，是被编码的数据
 # sample_rate 为采样率，一个数字

和decode完全就是互逆的过程！一定要注意输入的audio的格式！！！！！！

测试代码，接上个decode的。我用上一个decode的输出输入到这个里面，测试结果如下：

m1 , sample_rate_decode = m
print(m1,sample_rate_decode )
Heaven = tf.audio.encode_wav(
        m1,
        sample_rate_decode,
        name=None
    )
print("encode:",Heaven)

这是输入的两个tensor，第一个是audio，第二个则是采样率
Tensor("Const_1:0", shape=(2, 19785898), dtype=float32)
Tensor("Const_2:0", shape=(1,), dtype=int32)
这是输出的结果。
encode: Tensor("EncodeWav:0", shape=(), dtype=string)

音频的编码和解码一定要注意输入数据的格式，不然很容易出错。
避免出错的很重要的一点就是保证使用的音频文件编码和解码过程中每一步的数据的类型。

tensorflow.autograph

将普通Python转换为TensorFlow图形代码。

等效图形代码是指在运行时生成TensorFlow图形的代码。执行后，生成的图形与原始代码具有相同的效果（例如，使用tf.function或tf.compat.v1.Session.run）。换句话说，可以将使用AutoGraph视为在TensorFlow中运行Python。

tensorflow.autograph.experimental

tensorflow.autograph.experimental.do_not_convert()

tensorflow.autograph.experimental.set_loop_options()

tensorflow.autograph.set_verbosity()

tensorflow.argmax()

tf.argmax(input,axis)根据axis取值的不同返回每行或者每列最大值的索引。
https://blog.csdn.net/qq_35535616/article/details/111139044

tensorflow.batch_to_space

tensorflow.bfloat16

tensorflow.bitcast

tensorflow.bitwise

tensorflow.bool

tensorflow.boolean_mask

tensorflow.cast()

tensorflow.compat

tensorflow.compiler

tensorflow.concat()

tensorflow.constant()

tensorflow.config

tensorflow.config.experimental

tensorflow.config.experimental.list_physical_devices()

tensorflow.config.experimental.set_memory_growth()

tensorflow.contrib

tensorflow.convert_to_tensor()

tensorflow.core

tensorflow.core.debug

tensorflow.core.example

tensorflow.core.framework

tensorflow.core.grappler

tensorflow.core.kernels

tensorflow.core.lib

tensorflow.core.profiler

tensorflow.core.protobuf

tensorflow.core.util

tensorflow.core.util.event_pb2

tensorflow.core.util.memmapped_file_system_pb2

tensorflow.core.util.saved_tensor_slice_pb2

tensorflow.core.util.test_log_pb2

tensorflow.data

用于数据读取管道搭建

tensorflow.data.Dataset

用于读取数据，做预处理，调整batch和epoch等操作

tensorflow.data.Dataset.from_tensor_slices()

用于加载数据集（数据集的建立）.

dataset = tf.data.Dataset.from_tensor_slices((data,label))
print(dataset)
#其中data是需要用的数据集的路径集合，label对应的是每一个数据的标签

输入的data为文件路径或者文件路径列表，label为一个一维数组
输入的data和label的形式如下，输出的结果也如下：

data = ['D:\\gongyong\\tensor\\test\\test\\03F4C4D9.wav', 'D:\\gongyong\\tensor\\test\\test\\03F75380.wav', 
...
'D:\\gongyong\\tensor\\test\\test\\04CDD959.wav', 'D:\\gongyong\\tensor\\test\\test\\04D11CE5.wav']
label = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
# 这里为了省事我就把label都赋值成0，一共200个wav音频数据

dataset = <TensorSliceDataset shapes: ((), ()), types: (tf.string, tf.int32)>
#输出的dataset为一个可以用于训练的张量，注意张量的数据类型

tensorflow.data.Dataset.list_files()

输入同tf.data.Dataset.from_tensor_slices的data，是文件路径或者文件路径列表
输出结果返回文件路径列表的dataset形式

datasets = tf.data.Dataset.list_files(data)
print(datasets)

结果：
<ShuffleDataset shapes: (), types: tf.string>

tensorflow.data.Dataset.from_tensor_slices()
tensorflow.data.Dataset.list_files()
测试代码：

import tensorflow as tf
import tensorflow.compat.v1 as tf1
import os
tf1.disable_eager_execution()

file_path = r'D:\tensor\test\test'
data = [os.path.join(file_path,i) for i in os.listdir(file_path)]
label = [0]*len(data)
print(data)
print(label)
print(len(label))

dataset = tf1.data.Dataset.from_tensor_slices((data,label))
datasets = tf1.data.Dataset.list_files(data)

iterator = dataset.make_one_shot_iterator()
one_element = iterator.get_next()
iterators = dataset.make_one_shot_iterator()
one_elements = iterators.get_next()

print(dataset)
print(datasets)

with tf1.Session() as sess:
    for i in range(5):
        print("s1:",sess.run(one_element))
    for i in range(5):
        print("s2:",sess.run(one_elements))

测试结果：
这里只测试查看前五个。

<DatasetV1Adapter shapes: ((), ()), types: (tf.string, tf.int32)>
<DatasetV1Adapter shapes: (), types: tf.string>
s1: (b'D:\\tensor\\test\\test\\03F4C4D9.wav', 0)
s1: (b'D:\\tensor\\test\\test\\03F75380.wav', 0)
s1: (b'D:\\tensor\\test\\test\\03F8594B.wav', 0)
s1: (b'D:\\tensor\\test\\test\\03FAA931.wav', 0)
s1: (b'D:\\tensor\\test\\test\\03FCB6E5.wav', 0)
s2: (b'D:\\tensor\\test\\test\\03F4C4D9.wav', 0)
s2: (b'D:\\tensor\\test\\test\\03F75380.wav', 0)
s2: (b'D:\\tensor\\test\\test\\03F8594B.wav', 0)
s2: (b'D:\\tensor\\test\\test\\03FAA931.wav', 0)
s2: (b'D:\\tensor\\test\\test\\03FCB6E5.wav', 0)

这里我文件夹里面存放的文件是一组200个的音频文件，测试需要重新拼接目录

tensorflow.data.Dataset.list_files.flat_map()

对集合中每个元素运用某个函数操作(每个元素会被映射为0到多个输出元素)后，将结果扁平化组成一个新的集合。

tensorflow.data.TFRecordDataset

tensorflow.data.experimental.AUTOTUNE

tensorflow.data.Iterator

它表示了一个tf.data.Dataset的迭代器

tensorflow.debugging

tensorflow.distribute

tensorflow.distribute.OneDeviceStrategy()

tensorflow.dtypes

tensorflow.equal()

判断，x, y 是不是相等，它的判断方法不是整体判断;
而是逐个元素进行判断，如果相等就是True，不相等，就是False;

import tensorflow.compat.v1 as tf
a = [[1,1,1],[2,5,2]]
b = [[1,0,1],[1,5,1]]
with tf.Session() as sess:
    print(sess.run(tf.equal(a,b)))

结果：

[[ True False  True]
 [False  True False]]

tensorflow.errors

tensorflow.estimator

tensorflow.examples

tensorflow.examples.saved_model

tensorflow.examples.saved_model.integration_tests.mnist_util

tensorflow.exp()

tensorflow.expand_dims() #函数

tensorflow.experimental

tensorflow.experimental.function_executor_type

tensorflow.flat_map()

tensorflow.feature_column

tensorflow.feature_column.bucketized_column

tensorflow.feature_column.categorical_column_with_hash_bucket

tensorflow.feature_column.categorical_column_with_identity

tensorflow.feature_column.categorical_column_with_vocabulary_file

tensorflow.feature_column.categorical_column_with_vocabulary_list

tensorflow.feature_column.crossed_column

tensorflow.feature_column.embedding_column

tensorflow.feature_column.indicator_column

tensorflow.feature_column.make_parse_example_spec

tensorflow.feature_column.numeric_column

tensorflow.feature_column.sequence_categorical_column_with_hash_bucket

tensorflow.feature_column.sequence_categorical_column_with_identity

tensorflow.feature_column.sequence_categorical_column_with_vocabulary_file

tensorflow.feature_column.sequence_categorical_column_with_vocabulary_list

tensorflow.feature_column.sequence_numeric_column

tensorflow.feature_column.shared_embeddings

tensorflow.float32

tensorflow.gather

tensorflow.gather_nd

tensorflow.graph_util

tensorflow.graph_util.import_graph_def

tensorflow.GradientTape

tensorflow.image

tensorflow.image.adjust_brightness

tensorflow.image.adjust_contrast

tensorflow.image.adjust_gamma

tensorflow.image.adjust_hue

tensorflow.image.adjust_jpeg_quality

tensorflow.image.adjust_saturation

tensorflow.image.central_crop

tensorflow.image.combined_non_max_suppression

tensorflow.image.convert_image_dtype

tensorflow.image.crop_and_resize

tensorflow.image.crop_to_bounding_box

tensorflow.image.decode_and_crop_jpeg

tensorflow.image.decode_bmp

tensorflow.image.decode_gif

tensorflow.image.decode_image

tensorflow.image.decode_jpeg

tensorflow.image.decode_png

tensorflow.image.draw_bounding_boxes

tensorflow.image.encode_jpeg

tensorflow.image.encode_png

tensorflow.image.extract_glimpse

tensorflow.image.extract_jpeg_shape

tensorflow.image.extract_patches

tensorflow.image.flip_left_right

tensorflow.image.flip_up_down

tensorflow.image.grayscale_to_rgb

tensorflow.image.hsv_to_rgb

tensorflow.image.image_gradients

tensorflow.image.is_jpeg

tensorflow.image.non_max_suppression

tensorflow.image.non_max_suppression_overlaps

tensorflow.image.non_max_suppression_padded

tensorflow.image.non_max_suppression_with_scores

tensorflow.image.pad_to_bounding_box

tensorflow.image.per_image_standardization

tensorflow.image.psnr

tensorflow.image.random_brightness

tensorflow.image.random_contrast

tensorflow.image.random_crop

tensorflow.image.random_flip_left_right

tensorflow.image.random_flip_up_down

tensorflow.image.random_hue

tensorflow.image.random_jpeg_quality

tensorflow.image.random_saturation

tensorflow.image.resize

tensorflow.image.resize_with_crop_or_pad

tensorflow.image.resize_with_pad

tensorflow.image.rgb_to_grayscale

tensorflow.image.rgb_to_hsv

tensorflow.image.rgb_to_yiq

tensorflow.image.rgb_to_yuv

tensorflow.image.rot90

tensorflow.image.sample_distorted_bounding_box

tensorflow.image.sobel_edges

tensorflow.image.ssim

tensorflow.image.ssim_multiscale

tensorflow.image.total_variation

tensorflow.image.transpose

tensorflow.image.yiq_to_rgb

tensorflow.image.yuv_to_rgb

tensorflow.image.resize()

tensorflow.include

tensorflow.initializers

tensorflow.int32

tensorflow.int64

tensorflow.io

tensorflow.io.FixedLenFeature()

tensorflow.io.parse_single_example()

tensorflow.io.read_file()

tensorflow.io.decode_and_crop_jpeg

tensorflow.io.decode_base64

tensorflow.io.decode_bmp

tensorflow.io.decode_compressed

tensorflow.io.decode_csv

tensorflow.io.decode_gif

tensorflow.io.decode_image

tensorflow.io.decode_jpeg

tensorflow.io.decode_json_example

tensorflow.io.decode_png

tensorflow.io.decode_proto

tensorflow.io.decode_raw

tensorflow.io.deserialize_many_sparse

tensorflow.io.TFRecordWriter()

tensorflow.io.VarLenFeature()

tensorflow.keras

tensorflow.keras.applications.MobileNetV2

tensorflow.keras.callbacks

tensorflow.keras.callbacks.ReduceLROnPlateau #类

tensorflow.keras.callbacks.EarlyStopping #类

tensorflow.keras.callbacks.ModelCheckpoint #类

tensorflow.keras.callbacks.TensorBoard #类

tensorflow.keras.layers.Add

tensorflow.keras.layers.Concatenate

tensorflow.keras.layers.Conv2D

tensorflow.keras.layers.Conv2DTranspose()

tensorflow.keras.layers.Input #类

tensorflow.keras.layers.Lambda

tensorflow.keras.layers.LeakyReLU

tensorflow.keras.layers.MaxPool2D

tensorflow.keras.layers.UpSampling2D

tensorflow.keras.layers.ZeroPadding2D

tensorflow.keras.losses

tensorflow.keras.losses.binary_crossentropy

tensorflow.keras.losses.sparse_categorical_crossentropy

tensorflow.keras.metrics.Mean() #类

tensorflow.keras.metrics.Mean.result()

tensorflow.keras.metrics.Mean.reset_states()

tensorflow.keras.metrics.Mean.update_state()

tensorflow.keras.Model #类

tensorflow.keras.Model.compile()

tensorflow.keras.Model.fit()

tensorflow.keras.Model.get_layer()

tensorflow.keras.Model.load_weights()

tensorflow.keras.Model.save_weights()

tensorflow.keras.Model.trainable_variables

tensorflow.keras.optimizers

tensorflow.keras.optimizers.Adam() #类

tensorflow.keras.optimizers.RMSprop

tensorflow.keras.preprocessing

tensorflow.keras.preprocessing.image

tensorflow.keras.preprocessing.image.array_to_img

tensorflow.keras.preprocessing.image.ImageDataGenerator()

tensorflow.keras.regularizers.l2

tensorflow.linalg

tensorflow.linalg.adjoint

tensorflow.linalg.band_part

tensorflow.linalg.cholesky

tensorflow.linalg.cholesky_solve

tensorflow.linalg.cross

tensorflow.linalg.det

tensorflow.linalg.diag

tensorflow.linalg.diag_part

tensorflow.linalg.eigh

tensorflow.linalg.eigvalsh

tensorflow.linalg.einsum

tensorflow.linalg.expm

tensorflow.linalg.eye

tensorflow.linalg.global_norm

tensorflow.linalg.inv

tensorflow.linalg.l2_normalize

tensorflow.linalg.logdet

tensorflow.linalg.logm

tensorflow.linalg.lstsq

tensorflow.linalg.lu

tensorflow.linalg.matmul

tensorflow.linalg.matrix_transpose

tensorflow.linalg.matvec

tensorflow.linalg.norm

tensorflow.linalg.normalize

tensorflow.linalg.qr

tensorflow.linalg.set_diag

tensorflow.linalg.slogdet

tensorflow.linalg.solve

tensorflow.linalg.sqrtm

tensorflow.linalg.svd

tensorflow.linalg.tensor_diag

tensorflow.linalg.tensor_diag_part

tensorflow.linalg.tensordot

tensorflow.linalg.trace

tensorflow.linalg.triangular_solve

tensorflow.linalg.tensordot

tensorflow.linalg.trace

tensorflow.linalg.triangular_solve

tensorflow.linalg.tridiagonal_matmul

tensorflow.linalg.tridiagonal_solve

tensorflow.lite

tensorflow.lite.TFLiteConverter

tensorflow.lite.TFLiteConverter.from_keras_model

tensorflow.lite.Interpreter

tensorflow.logical_and()

tensorflow.lookup

tensorflow.lookup.StaticHashTable() #类

tensorflow.lookup.TextFileInitializer() #类

tensorflow.lookup.TextFileIndex.LINE_NUMBER

tensorflow.losses

tensorflow.losses.binary_crossentropy

tensorflow.losses.BinaryCrossentropy

tensorflow.losses.categorical_crossentropy

tensorflow.losses.categorical_hinge

tensorflow.losses.cosine_similarity

tensorflow.losses.CategoricalCrossentropy

tensorflow.losses.CategoricalHinge

tensorflow.losses.CosineSimilarity

tensorflow.losses.deserialize

tensorflow.losses.get

tensorflow.losses.hinge

tensorflow.losses.Hinge

tensorflow.losses.Huber

tensorflow.losses.kld

tensorflow.losses.kullback_leibler_divergence

tensorflow.losses.KLD

tensorflow.losses.KLDivergence

tensorflow.losses.logcosh

tensorflow.losses.LogCosh

tensorflow.losses.Loss

tensorflow.losses.mae

tensorflow.losses.mape

tensorflow.losses.mean_absolute_error

tensorflow.losses.mean_absolute_percentage_error

tensorflow.losses.mean_squared_error

tensorflow.losses.mean_squared_logarithmic_error

tensorflow.losses.mse

tensorflow.losses.msle

tensorflow.losses.MAE

tensorflow.losses.MAPE

tensorflow.losses.MeanAbsoluteError

tensorflow.losses.MeanAbsolutePercentageError

tensorflow.losses.MeanSquaredError

tensorflow.losses.MeanSquaredLogarithmicError

tensorflow.losses.MSE

tensorflow.losses.MSLE

tensorflow.losses.poisson

tensorflow.losses.Poisson

tensorflow.losses.Reduction

tensorflow.losses.serialize

tensorflow.losses.sparse_categorical_crossentropy

tensorflow.losses.squared_hinge

tensorflow.losses.SparseCategoricalCrossentropy

tensorflow.losses.SquaredHinge

tensorflow.map_fn()

tensorflow.math

tensorflow.math.abs

tensorflow.math.accumulate_n

tensorflow.math.acos

tensorflow.math.acosh

tensorflow.math.add

tensorflow.math.add_n

tensorflow.math.angle

tensorflow.math.argmax

tensorflow.math.asin

tensorflow.math.asinh

tensorflow.math.atan

tensorflow.math.atan2

tensorflow.math.atanh

tensorflow.math.bessel_i0

tensorflow.math.bessel_i0e

tensorflow.math.ceil

tensorflow.math.confusion_matrix

tensorflow.math.conj

tensorflow.math.cos

tensorflow.math.cosh

tensorflow.math.count_nonzero

tensorflow.math.cumprod

tensorflow.math.cumsum

tensorflow.math.cumulative_logsumexp

tensorflow.math.digamma

tensorflow.math.divide

tensorflow.math.divide_no_nan

tensorflow.math.equal

tensorflow.math.erf

tensorflow.math.erfc

tensorflow.math.exp

tensorflow.math.expm1

tensorflow.math.floor

tensorflow.math.floordiv

tensorflow.math.floormod

tensorflow.math.greater

tensorflow.math.greater_equal

tensorflow.math.igamma

tensorflow.math.igammac

tensorflow.math.imag

tensorflow.math.in_top_k

tensorflow.math.invert_permutation

tensorflow.math.is_finite

tensorflow.math.is_inf

tensorflow.math.is_nan

tensorflow.math.is_non_decreasing

tensorflow.math.is_strictly_increasing

tensorflow.math.l2_normalize

tensorflow.math.lbeta

tensorflow.math.less

tensorflow.math.less_equal

tensorflow.math.lgamma

tensorflow.math.log

tensorflow.math.log1p

tensorflow.math.log_sigmoid

tensorflow.math.log_softmax

tensorflow.math.logical_and

tensorflow.math.logical_not

tensorflow.math.logical_or

tensorflow.math.logical_xor

tensorflow.math.maximum

tensorflow.math.minimum

tensorflow.math.mod

tensorflow.math.multiply

tensorflow.math.multiply_no_nan

tensorflow.math.negative

tensorflow.math.nextafter

tensorflow.math.not_equal

tensorflow.math.polygamma

tensorflow.math.polyval

tensorflow.math.pow

tensorflow.math.real

tensorflow.math.reciprocal

tensorflow.math.reciprocal_no_nan

tensorflow.math.reduce_all

tensorflow.math.reduce_any

tensorflow.math.reduce_euclidean_norm

tensorflow.math.reduce_logsumexp

tensorflow.math.reduce_max

tensorflow.math.reduce_mean

tensorflow.math.reduce_min

tensorflow.math.reduce_prod

tensorflow.math.reduce_std

tensorflow.math.reduce_sum

tensorflow.math.reduce_variance

tensorflow.math.rint

tensorflow.math.round

tensorflow.math.rsqrt

tensorflow.math.scalar_mul

tensorflow.math.segment_max

tensorflow.math.segment_mean

tensorflow.math.segment_min

tensorflow.math.segment_prod

tensorflow.math.segment_sum

tensorflow.math.sigmoid

tensorflow.math.sign

tensorflow.math.sin

tensorflow.math.sinh

tensorflow.math.softmax

tensorflow.math.softplus

tensorflow.math.softsign

tensorflow.math.sqrt

tensorflow.math.squared_difference

tensorflow.math.subtract

tensorflow.math.tan

tensorflow.math.tanh

tensorflow.math.top_k

tensorflow.math.truediv

tensorflow.math.unsorted_segment_max

tensorflow.math.unsorted_segment_mean

tensorflow.math.unsorted_segment_min

tensorflow.math.unsorted_segment_prod

tensorflow.math.unsorted_segment_sqrt_n

tensorflow.math.unsorted_segment_sum

tensorflow.math.xdivy

tensorflow.math.xlogy

tensorflow.math.zero_fraction

tensorflow.math.zeta

tensorflow.maximum()

tensorflow.meshgrid()

tensorflow.metrics

tensorflow.metrics.binary_accuracy

tensorflow.metrics.binary_crossentropy

tensorflow.metrics.categorical_accuracy

tensorflow.metrics.categorical_crossentropy

tensorflow.metrics.deserialize

tensorflow.metrics.get

tensorflow.metrics.hinge

tensorflow.metrics.kld

tensorflow.metrics.kullback_leibler_divergence

tensorflow.metrics.LogCoshError

tensorflow.metrics.mae

tensorflow.metrics.mape

tensorflow.metrics.mean_absolute_error

tensorflow.metrics.mean_absolute_percentage_error

tensorflow.metrics.mean_squared_error

tensorflow.metrics.mean_squared_logarithmic_error

tensorflow.metrics.mse

tensorflow.metrics.msle

tensorflow.metrics.MAE

tensorflow.metrics.MAPE

tensorflow.metrics.Mean

tensorflow.metrics.MeanAbsoluteError

tensorflow.metrics.MeanAbsolutePercentageError

tensorflow.metrics.MeanIoU

tensorflow.metrics.MeanRelativeError

tensorflow.metrics.MeanSquaredError

tensorflow.metrics.MeanSquaredLogarithmicError

tensorflow.metrics.MeanTensor

tensorflow.metrics.Metric

tensorflow.metrics.MSE

tensorflow.metrics.MSLE

tensorflow.metrics.poisson

tensorflow.metrics.Poisson

tensorflow.metrics.Precision

tensorflow.metrics.serialize

tensorflow.metrics.sparse_categorical_accuracy

tensorflow.metrics.sparse_categorical_crossentropy

tensorflow.metrics.sparse_top_k_categorical_accuracy

tensorflow.metrics.squared_hinge

tensorflow.metrics.SensitivityAtSpecificity

tensorflow.metrics.SparseCategoricalAccuracy

tensorflow.metrics.SparseCategoricalCrossentropy

tensorflow.metrics.SparseTopKCategoricalAccuracy

tensorflow.metrics.SparseTopKCategoricalAccuracy

tensorflow.metrics.SpecificityAtSensitivity

tensorflow.metrics.SquaredHinge

tensorflow.metrics.Sum

tensorflow.metrics.top_k_categorical_accuracy

tensorflow.metrics.TopKCategoricalAccuracy

tensorflow.metrics.TrueNegatives

tensorflow.metrics.TruePositives

tensorflow.minimum()

tensorflow.nest

tensorflow.nn

tensorflow.nn.all_candidate_sampler

tensorflow.nn.atrous_conv2d

tensorflow.nn.atrous_conv2d_transpose

tensorflow.nn.avg_pool

tensorflow.nn.avg_pool1d

tensorflow.nn.avg_pool2d

tensorflow.nn.avg_pool3d

tensorflow.nn.batch_norm_with_global_normalization

tensorflow.nn.batch_normalization

tensorflow.nn.bias_add

tensorflow.nn.collapse_repeated

tensorflow.nn.compute_accidental_hits

tensorflow.nn.compute_average_loss

tensorflow.nn.conv1d

tensorflow.nn.conv1d_transpose

tensorflow.nn.conv2d

tensorflow.nn.conv2d_transpose

tensorflow.nn.conv3d

tensorflow.nn.conv3d_transpose

tensorflow.nn.conv_transpose

tensorflow.nn.convolution

tensorflow.nn.crelu

tensorflow.nn.ctc_beam_search_decoder

tensorflow.nn.ctc_greedy_decoder

tensorflow.nn.ctc_loss

tensorflow.nn.ctc_unique_labels

tensorflow.nn.depth_to_space

tensorflow.nn.depthwise_conv2d

tensorflow.nn.depthwise_conv2d_backprop_filter

tensorflow.nn.depthwise_conv2d_backprop_input

tensorflow.nn.dilation2d

tensorflow.nn.dropout

tensorflow.nn.elu

tensorflow.nn.embedding_lookup

tensorflow.nn.embedding_lookup_sparse

tensorflow.nn.erosion2d

tensorflow.nn.fixed_unigram_candidate_sampler

tensorflow.nn.fractional_avg_pool

tensorflow.nn.fractional_max_pool

tensorflow.nn.in_top_k

tensorflow.nn.l2_loss

tensorflow.nn.l2_normalize

tensorflow.nn.leaky_relu

tensorflow.nn.learned_unigram_candidate_sampler

tensorflow.nn.local_response_normalization

tensorflow.nn.log_poisson_loss

tensorflow.nn.log_softmax

tensorflow.nn.lrn

tensorflow.nn.max_pool

tensorflow.nn.max_pool1d

tensorflow.nn.max_pool2d

tensorflow.nn.max_pool3d

tensorflow.nn.max_pool_with_argmax

tensorflow.nn.moments

tensorflow.nn.nce_loss

tensorflow.nn.normalize_moments

tensorflow.nn.pool

tensorflow.nn.relu

tensorflow.nn.relu6

tensorflow.nn.safe_embedding_lookup_sparse

tensorflow.nn.sampled_softmax_loss

tensorflow.nn.scale_regularization_loss

tensorflow.nn.selu

tensorflow.nn.separable_conv2d

tensorflow.nn.sigmoid

tensorflow.nn.sigmoid_cross_entropy_with_logits

tensorflow.nn.softmax

tensorflow.nn.softmax_cross_entropy_with_logits

tensorflow.nn.softplus

tensorflow.nn.softsign

tensorflow.nn.space_to_batch

tensorflow.nn.space_to_depth

tensorflow.nn.sparse_softmax_cross_entropy_with_logits

tensorflow.nn.sufficient_statistics

tensorflow.nn.swish

tensorflow.nn.tanh

tensorflow.nn.top_k

tensorflow.nn.weighted_cross_entropy_with_logits

tensorflow.nn.weighted_moment

tensorflow.nn.with_space_to_batch

tensorflow.nn.zero_fraction

tensorflow.optimizers

tensorflow.optimizers.RMSprop

tensorflow.optimizers.Adadelta

tensorflow.optimizers.Adagrad

tensorflow.optimizers.Adam

tensorflow.optimizers.Adamax

tensorflow.optimizers.deserialize

tensorflow.optimizers.Ftrl

tensorflow.optimizers.get

tensorflow.optimizers.Nadam

tensorflow.optimizers.Optimizer

tensorflow.optimizers.RMSprop

tensorflow.optimizers.schedules

tensorflow.optimizers.SGD

tensorflow.pad()

tensorflow.plugin_dir

tensorflow.print()

tensorflow.python

tensorflow.python.eager

tensorflow.python.eager.def_function

tensorflow.python.framework

tensorflow.python.framework.tensor_spec

tensorflow.python.autograph

tensorflow.python.client

tensorflow.python.compat

tensorflow.python.compiler

tensorflow.python.ctypes

tensorflow.python.data

tensorflow.python.debug

tensorflow.python.distribute

tensorflow.python.estimator

tensorflow.python.feature_column

tensorflow.python.framework

tensorflow.python.grappler

tensorflow.python.importlib

tensorflow.python.keras

tensorflow.python.kernel_tests

tensorflow.python.layers

tensorflow.python.lib

tensorflow.python.module

tensorflow.python.np

tensorflow.python.ops

tensorflow.python.ops.array_grad

tensorflow.python.ops.array_ops

tensorflow.python.ops.batch_ops

tensorflow.python.ops.bitwise_ops

tensorflow.python.ops.boosted_trees_ops

tensorflow.python.ops.candidate_sampling_ops

tensorflow.python.ops.check_ops

tensorflow.python.ops.clip_ops

tensorflow.python.ops.clustering_ops

tensorflow.python.ops.collective_ops

tensorflow.python.ops.cond_v2

tensorflow.python.ops.confusion_matrix

tensorflow.python.ops.control_flow_grad

tensorflow.python.ops.control_flow_ops

tensorflow.python.ops.control_flow_state

tensorflow.python.ops.control_flow_util

tensorflow.python.ops.control_flow_util_v2

tensorflow.python.ops.control_flow_v2_func_graphs

tensorflow.python.ops.control_flow_v2_toggles

tensorflow.python.ops.critical_section_ops

tensorflow.python.ops.ctc_ops

tensorflow.python.ops.cudnn_rnn_grad

tensorflow.python.ops.custom_gradient

tensorflow.python.ops.data_flow_grad

tensorflow.python.ops.data_flow_ops

tensorflow.python.ops.default_gradient

tensorflow.python.ops.distributions

tensorflow.python.ops.embedding_ops

tensorflow.python.ops.functional_ops

tensorflow.python.ops.gen_array_ops

tensorflow.python.ops.gen_audio_ops

tensorflow.python.ops.gen_batch_ops

tensorflow.python.ops.gen_bitwise_ops

tensorflow.python.ops.gen_boosted_trees_ops

tensorflow.python.ops.gen_candidate_sampling_ops

tensorflow.python.ops.gen_checkpoint_ops

tensorflow.python.ops.gen_clustering_ops

tensorflow.python.ops.gen_collective_ops

tensorflow.python.ops.gen_control_flow_ops

tensorflow.python.ops.gen_ctc_ops

tensorflow.python.ops.gen_cudnn_rnn_ops

tensorflow.python.ops.gen_data_flow_ops

tensorflow.python.ops.gen_dataset_ops

tensorflow.python.ops.gen_decode_proto_ops

tensorflow.python.ops.gen_encode_proto_ops

tensorflow.python.ops.gen_experimental_dataset_ops

tensorflow.python.ops.gen_functional_ops

tensorflow.python.ops.gen_image_ops

tensorflow.python.ops.gen_io_ops

tensorflow.python.ops.gen_linalg_ops

tensorflow.python.ops.gen_list_ops

tensorflow.python.ops.gen_logging_ops

tensorflow.python.ops.gen_lookup_ops

tensorflow.python.ops.gen_manip_ops

tensorflow.python.ops.gen_math_ops

tensorflow.python.ops.gen_nccl_ops

tensorflow.python.ops.gen_nn_ops

tensorflow.python.ops.gen_parsing_ops

tensorflow.python.ops.gen_ragged_array_ops

tensorflow.python.ops.gen_ragged_conversion_ops

tensorflow.python.ops.gen_ragged_math_ops

tensorflow.python.ops.gen_random_ops

tensorflow.python.ops.gen_resource_variable_ops

tensorflow.python.ops.gen_rnn_ops

tensorflow.python.ops.gen_script_ops

tensorflow.python.ops.gen_sdca_ops

tensorflow.python.ops.gen_set_ops

tensorflow.python.ops.gen_sparse_ops

tensorflow.python.ops.gen_spectral_ops

tensorflow.python.ops.gen_state_ops

tensorflow.python.ops.gen_stateful_random_ops

tensorflow.python.ops.gen_stateless_random_ops

tensorflow.python.ops.gen_string_ops

tensorflow.python.ops.gen_summary_ops

tensorflow.python.ops.gen_tensor_forest_ops

tensorflow.python.ops.gen_tpu_ops

tensorflow.python.ops.gen_user_ops

tensorflow.python.ops.gradient_checker

tensorflow.python.ops.gradient_checker_v2

tensorflow.python.ops.gradients

tensorflow.python.ops.gradients_impl

tensorflow.python.ops.gradients_util

tensorflow.python.ops.histogram_ops

tensorflow.python.ops.image_grad

tensorflow.python.ops.image_ops

tensorflow.python.ops.image_ops_impl

tensorflow.python.ops.init_ops

tensorflow.python.ops.init_ops_v2

tensorflow.python.ops.initializers_ns

tensorflow.python.ops.inplace_ops

tensorflow.python.ops.io_ops

tensorflow.python.ops.linalg

tensorflow.python.ops.linalg_grad

tensorflow.python.ops.linalg_ops

tensorflow.python.ops.linalg_ops_impl

tensorflow.python.ops.list_ops

tensorflow.python.ops.logging_ops

tensorflow.python.ops.lookup_ops

tensorflow.python.ops.losses

tensorflow.python.ops.manip_grad

tensorflow.python.ops.manip_ops

tensorflow.python.ops.map_fn

tensorflow.python.ops.math_grad

tensorflow.python.ops.math_ops

tensorflow.python.ops.metrics

tensorflow.python.ops.metrics_impl

tensorflow.python.ops.nccl_ops

tensorflow.python.ops.nn

tensorflow.python.ops.nn_impl

tensorflow.python.ops.nn_ops

tensorflow.python.ops.numerics

tensorflow.python.ops.op_selector

tensorflow.python.ops.optional_grad

tensorflow.python.ops.parallel_for

tensorflow.python.ops.parsing_ops

tensorflow.python.ops.partitioned_variables

tensorflow.python.ops.proto_ops

tensorflow.python.ops.ragged

tensorflow.python.ops.random_grad

tensorflow.python.ops.random_ops

tensorflow.python.ops.resource_variable_ops

tensorflow.python.ops.resources

tensorflow.python.ops.rnn

tensorflow.python.ops.rnn_cell

tensorflow.python.ops.rnn_cell_impl

tensorflow.python.ops.rnn_cell_wrapper_impl

tensorflow.python.ops.rnn_grad

tensorflow.python.ops.script_ops

tensorflow.python.ops.sdca_ops

tensorflow.python.ops.session_ops

tensorflow.python.ops.sets

tensorflow.python.ops.sets_impl

tensorflow.python.ops.signal

tensorflow.python.ops.sort_ops

tensorflow.python.ops.sparse_grad

tensorflow.python.ops.sparse_ops

tensorflow.python.ops.special_math_ops

tensorflow.python.ops.spectral_ops_test_util

tensorflow.python.ops.standard_ops

tensorflow.python.ops.state_grad

tensorflow.python.ops.state_ops

tensorflow.python.ops.stateful_random_ops

tensorflow.python.ops.stateless_random_ops

tensorflow.python.ops.string_ops

tensorflow.python.ops.template

tensorflow.python.ops.tensor_array_grad

tensorflow.python.ops.tensor_array_ops

tensorflow.python.ops.tensor_forest_ops

tensorflow.python.ops.unconnected_gradients

tensorflow.python.ops.variable_scope

tensorflow.python.ops.variables

tensorflow.python.ops.weights_broadcast_ops

tensorflow.python.ops.while_v2

tensorflow.python.ops.while_v2_indexed_slices_rewriter

tensorflow.python.platform

tensorflow.python.profiler

tensorflow.python.pywrap_dlopen_global_flags

tensorflow.python.pywrap_tensorflow

tensorflow.python.pywrap_tensorflow_internal

tensorflow.python.saved_model

tensorflow.python.summary

tensorflow.python.sys

tensorflow.python.tf2

tensorflow.python.tools

tensorflow.python.tpu

tensorflow.python.traceback

tensorflow.python.training

tensorflow.python.user_ops

tensorflow.python.util

tensorflow.python.util.nest

tensorflow.quantization

tensorflow.queue

tensorflow.ragged

tensorflow.random

tensorflow.random.all_candidate_sampler

tensorflow.random.experimental

tensorflow.random.categorical

tensorflow.random.fixed_unigram_candidate_sampler

tensorflow.random.gamma

tensorflow.random.learned_unigram_candidate_sampler

tensorflow.random.log_uniform_candidate_sampler

tensorflow.random.normal

tensorflow.random.poisson

tensorflow.random.set_seed

tensorflow.random.shuffle

tensorflow.random.stateless_categorical

tensorflow.random.stateless_normal

tensorflow.random.stateless_truncated_normal

tensorflow.random.stateless_uniform

tensorflow.random.truncated_normal

tensorflow.random.uniform()

tensorflow.random.uniform_candidate_sampler

tensorflow.range()

tensorflow.raw_ops

tensorflow.reduce_any()

tensorflow.reduce_sum()

tensorflow.reduce_max()

tensorflow.reshape()

tensorflow.s

tensorflow.saved_model

tensorflow.saved_model.save()

tensorflow.saved_model.load()

tensorflow.sets

tensorflow.shape()

tensorflow.signal

tensorflow.sparse

tensorflow.sparse.to_dense()

tensorflow.split()

tensorflow.square()

tensorflow.squeeze()

tensorflow.string

tensorflow.strings.as_string

tensorflow.strings.bytes_split

tensorflow.strings.format

tensorflow.strings.join

tensorflow.strings.length

tensorflow.strings.lower

tensorflow.strings.ngrams

tensorflow.strings.reduce_join

tensorflow.strings.regex_full_match

tensorflow.strings.regex_replace()

tensorflow.strings.split

tensorflow.strings.strip

tensorflow.strings.substr

tensorflow.strings.to_hash_bucket

tensorflow.strings.to_hash_bucket_fast

tensorflow.strings.to_hash_bucket_strong

tensorflow.strings.to_number

tensorflow.strings.unicode_decode

tensorflow.strings.unicode_decode_with_offsets

tensorflow.strings.unicode_encode

tensorflow.strings.unicode_script

tensorflow.strings.unicode_split

tensorflow.strings.unicode_split_with_offsets

tensorflow.strings.unicode_transcode

tensorflow.strings.unsorted_segment_join

tensorflow.strings.upper

tensorflow.stack()

tensorflow.summary

tensorflow.summary.absolute_import

tensorflow.summary.audio()

tensorflow.summary.division

tensorflow.summary.histogram()

tensorflow.summary.image()

tensorflow.summary.print_function

tensorflow.summary.reexport_tf_summary()

tensorflow.summary.scalar()

tensorflow.summary.text()

tensorflow.summary.tf

tensorflow.summary.tf.audio

tensorflow.summary.tf.autograph

tensorflow.summary.tf.bitwise

tensorflow.summary.tf.compat

tensorflow.summary.tf.compiler

tensorflow.summary.tf.config

tensorflow.summary.tf.contrib

tensorflow.summary.tf.core

tensorflow.summary.tf.data

tensorflow.summary.tf.debugging

tensorflow.summary.tf.distribute

tensorflow.summary.tf.dtypes

tensorflow.summary.tf.errors

tensorflow.summary.tf.estimator

tensorflow.summary.tf.examples

tensorflow.summary.tf.experimental

tensorflow.summary.tf.feature_column

tensorflow.summary.tf.graph_util

tensorflow.summary.tf.image

tensorflow.summary.tf.include

tensorflow.summary.tf.initializers

tensorflow.summary.tf.io

tensorflow.summary.tf.keras

tensorflow.summary.tf.linalg

tensorflow.summary.tf.lite

tensorflow.summary.tf.lookup

tensorflow.summary.tf.losses

tensorflow.summary.tf.math

tensorflow.summary.tf.metrics

tensorflow.summary.tf.nest

tensorflow.summary.tf.nn

tensorflow.summary.tf.optimizers

tensorflow.summary.tf.plugin_dir

tensorflow.summary.tf.python

tensorflow.summary.tf.quantization

tensorflow.summary.tf.queue

tensorflow.summary.tf.ragged

tensorflow.summary.tf.random

tensorflow.summary.tf.raw_ops

tensorflow.summary.tf.s

tensorflow.summary.tf.saved_model

tensorflow.summary.tf.sets

tensorflow.summary.tf.signal

tensorflow.summary.tf.sparse

tensorflow.summary.tf.strings

tensorflow.summary.tf.summary

tensorflow.summary.tf.sysconfig

tensorflow.summary.tf.test

tensorflow.summary.tf.tools

tensorflow.summary.tf.tpu

tensorflow.summary.tf.train

tensorflow.summary.tf.version

tensorflow.summary.tf.xla

tensorflow.sysconfig

tensorflow.sysconfig.CXX11_ABI_FLAG

tensorflow.sysconfig.get_compile_flags

tensorflow.sysconfig.get_include

tensorflow.sysconfig.get_lib

tensorflow.sysconfig.get_link_flags

tensorflow.sysconfig.MONOLITHIC_BUILD

tensorflow.tensor_scatter_nd_update()

tensorflow.test.assert_equal_graph_def

tensorflow.test.benchmark_config

tensorflow.test.compute_gradient

tensorflow.test.create_local_cluster

tensorflow.test.gpu_device_name

tensorflow.test.is_built_with_cuda

tensorflow.test.is_built_with_gpu_support

tensorflow.test.is_built_with_rocm

tensorflow.test.is_gpu_available

tensorflow.test.main

tensorflow.TensorArray()

tensorflow.tile()

tensorflow.tools

tensorflow.tools.common

tensorflow.tools.compatibility

tensorflow.tools.docs

tensorflow.tools.pip_package

tensorflow.tpu

tensorflow.train

tensorflow.train.BytesList()

tensorflow.train.checkpoints_iterator

tensorflow.train.Checkpoint

tensorflow.train.CheckpointManager

tensorflow.train.ClusterDef

tensorflow.train.ClusterSpec

tensorflow.train.Coordinator

tensorflow.train.experimental

tensorflow.train.Example

tensorflow.train.ExponentialMovingAverage

tensorflow.train.Feature

tensorflow.train.FeatureList

tensorflow.train.FeatureLists

tensorflow.train.Features

tensorflow.train.FloatList

tensorflow.train.get_checkpoint_state

tensorflow.train.Int64List

tensorflow.train.JobDef

tensorflow.train.latest_checkpoint

tensorflow.train.list_variables

tensorflow.train.load_checkpoint

tensorflow.train.load_variable

tensorflow.train.SequenceExample

tensorflow.train.ServerDef

tensorflow.version

tensorflow.where

tensorflow.while_loop

tensorflow.xla

tensorflow.zeros()

tensorflow.zeros_like()