TensorLayerX
stable
Installation
Examples
Contributing
FAQ
Getting started
Define a model
Advanced features
Stable Functionalities
API - Activations
API - Losses
API - Metrics
API - Dataflow
API - Files
API - NN
API - Model Training
API - Vision
API - Initializers
API - Operations
API - Optimizers
TensorLayerX
Docs
»
Index
Edit on GitHub
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Y
|
Z
_
__call__() (tensorlayerx.nn.Module method)
__init__() (tensorlayerx.metrics.Metric method)
(tensorlayerx.nn.Module method)
(tensorlayerx.nn.ModuleDict method)
(tensorlayerx.nn.ModuleList method)
(tensorlayerx.nn.ParameterDict method)
(tensorlayerx.nn.ParameterList method)
(tensorlayerx.nn.Sequential method)
_get_weights() (tensorlayerx.nn.Module method)
A
abs() (in module tensorlayerx)
absolute_difference_error() (in module tensorlayerx.losses)
acc() (in module tensorlayerx.metrics)
Accuracy (class in tensorlayerx.metrics)
acos() (in module tensorlayerx)
acosh() (in module tensorlayerx)
Adadelta (class in tensorlayerx.optimizers)
Adagrad (class in tensorlayerx.optimizers)
Adam (class in tensorlayerx.optimizers)
Adamax (class in tensorlayerx.optimizers)
AdaptiveAvgPool1d (class in tensorlayerx.nn)
AdaptiveAvgPool2d (class in tensorlayerx.nn)
AdaptiveAvgPool3d (class in tensorlayerx.nn)
AdaptiveMaxPool1d (class in tensorlayerx.nn)
AdaptiveMaxPool2d (class in tensorlayerx.nn)
AdaptiveMaxPool3d (class in tensorlayerx.nn)
add() (in module tensorlayerx)
AdjustBrightness (class in tensorlayerx.vision.transforms)
AdjustContrast (class in tensorlayerx.vision.transforms)
AdjustHue (class in tensorlayerx.vision.transforms)
AdjustSaturation (class in tensorlayerx.vision.transforms)
all() (in module tensorlayerx)
all_weights() (tensorlayerx.nn.Module method)
angle() (in module tensorlayerx)
any() (in module tensorlayerx)
append() (tensorlayerx.nn.ModuleList method)
(tensorlayerx.nn.ParameterList method)
arange() (in module tensorlayerx)
argmax() (in module tensorlayerx)
argmin() (in module tensorlayerx)
argsort() (in module tensorlayerx)
asin() (in module tensorlayerx)
asinh() (in module tensorlayerx)
assign_weights() (in module tensorlayerx.files)
atan() (in module tensorlayerx)
atanh() (in module tensorlayerx)
Auc (class in tensorlayerx.metrics)
AverageEmbedding (class in tensorlayerx.nn)
AvgPool1d (class in tensorlayerx.nn)
AvgPool2d (class in tensorlayerx.nn)
AvgPool3d (class in tensorlayerx.nn)
B
basic_tokenizer() (in module tensorlayerx.text.nlp)
BatchNorm (class in tensorlayerx.nn)
BatchNorm1d (class in tensorlayerx.nn)
BatchNorm2d (class in tensorlayerx.nn)
BatchNorm3d (class in tensorlayerx.nn)
BatchSampler (class in tensorlayerx.dataflow)
binary_cross_entropy() (in module tensorlayerx.losses)
BinaryConv2d (class in tensorlayerx.nn)
BinaryLinear (class in tensorlayerx.nn)
bmm() (in module tensorlayerx)
build() (tensorlayerx.nn.Module method)
(tensorlayerx.nn.Sequential method)
build_reverse_dictionary() (in module tensorlayerx.text.nlp)
build_vocab() (in module tensorlayerx.text.nlp)
build_words_dataset() (in module tensorlayerx.text.nlp)
C
ceil() (in module tensorlayerx)
CentralCrop (class in tensorlayerx.vision.transforms)
ChainDataset (class in tensorlayerx.dataflow)
CHW2HWC (class in tensorlayerx.vision.transforms)
clear() (tensorlayerx.nn.ModuleDict method)
(tensorlayerx.nn.ParameterDict method)
CNN2d() (in module tensorlayerx.utils.visualize)
ColorJitter (class in tensorlayerx.vision.transforms)
Compose (class in tensorlayerx.vision.transforms)
Concat (class in tensorlayerx.nn)
concat() (in module tensorlayerx)
ConcatDataset (class in tensorlayerx.dataflow)
Constant (class in tensorlayerx.nn.initializers)
constant() (in module tensorlayerx)
Conv1d (class in tensorlayerx.nn)
Conv2d (class in tensorlayerx.nn)
Conv3d (class in tensorlayerx.nn)
convert_to_numpy() (in module tensorlayerx)
convert_to_tensor() (in module tensorlayerx)
ConvTranspose1d (class in tensorlayerx.nn)
ConvTranspose2d (class in tensorlayerx.nn)
ConvTranspose3d (class in tensorlayerx.nn)
CornerPool2d (class in tensorlayerx.nn)
cos() (in module tensorlayerx)
cosh() (in module tensorlayerx)
cosine_similarity() (in module tensorlayerx.losses)
CosineAnnealingDecay (class in tensorlayerx.optimizers.lr)
count_nonzero() (in module tensorlayerx)
create_vocab() (in module tensorlayerx.text.nlp)
create_vocabulary() (in module tensorlayerx.text.nlp)
Crop (class in tensorlayerx.vision.transforms)
cross_entropy_seq() (in module tensorlayerx.losses)
cross_entropy_seq_with_mask() (in module tensorlayerx.losses)
cumprod() (in module tensorlayerx)
cumsum() (in module tensorlayerx)
D
data_to_token_ids() (in module tensorlayerx.text.nlp)
DataLoader (class in tensorlayerx.dataflow)
Dataset (class in tensorlayerx.dataflow)
deconv2d_bilinear_upsampling_initializer() (in module tensorlayerx.nn.initializers)
DeformableConv2d (class in tensorlayerx.nn)
del_file() (in module tensorlayerx.files)
del_folder() (in module tensorlayerx.files)
DepthwiseConv2d (class in tensorlayerx.nn)
diag() (in module tensorlayerx)
dice_coe() (in module tensorlayerx.losses)
dice_hard_coe() (in module tensorlayerx.losses)
divide() (in module tensorlayerx)
DorefaConv2d (class in tensorlayerx.nn)
DorefaLinear (class in tensorlayerx.nn)
download_file_from_google_drive() (in module tensorlayerx.files)
DownSampling2d (class in tensorlayerx.nn)
draw_boxes_and_labels_to_image() (in module tensorlayerx.utils.visualize)
draw_boxes_and_labels_to_image_with_json() (in module tensorlayerx.utils.visualize)
draw_mpii_pose_to_image() (in module tensorlayerx.utils.visualize)
draw_weights() (in module tensorlayerx.utils.visualize)
DropconnectLinear (class in tensorlayerx.nn)
Dropout (class in tensorlayerx.nn)
E
einsum() (in module tensorlayerx)
Elementwise (class in tensorlayerx.nn)
ELU (class in tensorlayerx.nn.activation)
Embedding (class in tensorlayerx.nn)
end_id (tensorlayerx.text.nlp.Vocabulary attribute)
equal() (in module tensorlayerx)
eval() (in module tensorlayerx.model)
examples.model_zoo (module)
exists_or_mkdir() (in module tensorlayerx.files)
exp() (in module tensorlayerx)
expand_dims() (in module tensorlayerx)
ExpandDims (class in tensorlayerx.nn)
ExponentialDecay (class in tensorlayerx.optimizers.lr)
extend() (tensorlayerx.nn.ModuleList method)
(tensorlayerx.nn.ParameterList method)
eye() (in module tensorlayerx)
F
file_exists() (in module tensorlayerx.files)
Flatten (class in tensorlayerx.nn)
FlipHorizontal (class in tensorlayerx.vision.transforms)
FlipVertical (class in tensorlayerx.vision.transforms)
floor() (in module tensorlayerx)
floordiv() (in module tensorlayerx)
floormod() (in module tensorlayerx)
folder_exists() (in module tensorlayerx.files)
forward() (in module tensorlayerx.model)
(tensorlayerx.nn.GRU method)
(tensorlayerx.nn.GRUCell method)
(tensorlayerx.nn.LSTM method)
(tensorlayerx.nn.LSTMCell method)
(tensorlayerx.nn.Module method)
(tensorlayerx.nn.MultiheadAttention method)
(tensorlayerx.nn.RNN method)
(tensorlayerx.nn.RNNCell method)
(tensorlayerx.nn.Sequential method)
(tensorlayerx.nn.Transformer method)
(tensorlayerx.nn.TransformerDecoder method)
(tensorlayerx.nn.TransformerDecoderLayer method)
(tensorlayerx.nn.TransformerEncoder method)
(tensorlayerx.nn.TransformerEncoderLayer method)
frame() (in module tensorlayerx.utils.visualize)
fromkeys() (tensorlayerx.nn.ParameterDict method)
Ftrl (class in tensorlayerx.optimizers)
G
GaussianNoise (class in tensorlayerx.nn)
generate_skip_gram_batch() (in module tensorlayerx.text.nlp)
generate_square_subsequent_mask() (tensorlayerx.nn.Transformer method)
get_device() (in module tensorlayerx)
get_tensor_shape() (in module tensorlayerx)
GlobalAvgPool1d (class in tensorlayerx.nn)
GlobalAvgPool2d (class in tensorlayerx.nn)
GlobalAvgPool3d (class in tensorlayerx.nn)
GlobalMaxPool1d (class in tensorlayerx.nn)
GlobalMaxPool2d (class in tensorlayerx.nn)
GlobalMaxPool3d (class in tensorlayerx.nn)
greater() (in module tensorlayerx)
greater_equal() (in module tensorlayerx)
GroupConv2d (class in tensorlayerx.nn)
GRU (class in tensorlayerx.nn)
GRUCell (class in tensorlayerx.nn)
H
HardSigmoid (class in tensorlayerx.nn.activation)
Hardswish (class in tensorlayerx.nn.activation)
HardTanh (class in tensorlayerx.nn.activation)
he_normal() (in module tensorlayerx)
HeNormal (class in tensorlayerx.nn.initializers)
HeUniform (class in tensorlayerx.nn.initializers)
HsvToRgb (class in tensorlayerx.vision.transforms)
HWC2CHW (class in tensorlayerx.vision.transforms)
I
images2d() (in module tensorlayerx.utils.visualize)
initialize_vocabulary() (in module tensorlayerx.text.nlp)
Initializer (class in tensorlayerx.nn.initializers)
Input() (in module tensorlayerx.nn)
insert() (tensorlayerx.nn.ModuleList method)
InverseTimeDecay (class in tensorlayerx.optimizers.lr)
iou_coe() (in module tensorlayerx.losses)
is_inf() (in module tensorlayerx)
is_nan() (in module tensorlayerx)
is_tensor() (in module tensorlayerx)
items() (tensorlayerx.nn.ModuleDict method)
(tensorlayerx.nn.ParameterDict method)
IterableDataset (class in tensorlayerx.dataflow)
K
keys() (tensorlayerx.nn.ModuleDict method)
(tensorlayerx.nn.ParameterDict method)
L
l2_normalize() (in module tensorlayerx)
Lamb (class in tensorlayerx.optimizers)
LambdaDecay (class in tensorlayerx.optimizers.lr)
LARS (class in tensorlayerx.optimizers)
LeakyReLU (class in tensorlayerx.nn.activation)
LeakyReLU6 (class in tensorlayerx.nn.activation)
LeakyTwiceRelu6 (class in tensorlayerx.nn.activation)
less() (in module tensorlayerx)
less_equal() (in module tensorlayerx)
li_regularizer() (in module tensorlayerx.losses)
Linear (class in tensorlayerx.nn)
LinearWarmup (class in tensorlayerx.optimizers.lr)
lo_regularizer() (in module tensorlayerx.losses)
load_and_assign_npz() (in module tensorlayerx.files)
load_and_assign_npz_dict() (in module tensorlayerx.files)
load_celebA_dataset() (in module tensorlayerx.files)
load_cifar10_dataset() (in module tensorlayerx.files)
load_cropped_svhn() (in module tensorlayerx.files)
load_cyclegan_dataset() (in module tensorlayerx.files)
load_fashion_mnist_dataset() (in module tensorlayerx.files)
load_file_list() (in module tensorlayerx.files)
load_flickr1M_dataset() (in module tensorlayerx.files)
load_flickr25k_dataset() (in module tensorlayerx.files)
load_folder_list() (in module tensorlayerx.files)
load_hdf5_to_weights() (in module tensorlayerx.files)
load_hdf5_to_weights_in_order() (in module tensorlayerx.files)
load_image (class in tensorlayerx.vision)
load_images (class in tensorlayerx.vision)
load_imdb_dataset() (in module tensorlayerx.files)
load_matt_mahoney_text8_dataset() (in module tensorlayerx.files)
load_mnist_dataset() (in module tensorlayerx.files)
load_mpii_pose_dataset() (in module tensorlayerx.files)
load_nietzsche_dataset() (in module tensorlayerx.files)
load_npy_to_any() (in module tensorlayerx.files)
load_npz() (in module tensorlayerx.files)
load_standard_weights() (tensorlayerx.nn.Module method)
load_weights() (in module tensorlayerx.model)
(tensorlayerx.nn.Module method)
log() (in module tensorlayerx)
log_sigmoid() (in module tensorlayerx)
logical_and() (in module tensorlayerx)
logical_not() (in module tensorlayerx)
logical_or() (in module tensorlayerx)
logical_xor() (in module tensorlayerx)
LogSoftmax (class in tensorlayerx.nn.activation)
logsoftmax() (in module tensorlayerx)
LRScheduler (class in tensorlayerx.optimizers.lr)
LSTM (class in tensorlayerx.nn)
LSTMCell (class in tensorlayerx.nn)
M
mask_select() (in module tensorlayerx)
MaskedConv3d (class in tensorlayerx.nn)
matmul() (in module tensorlayerx)
maximum() (in module tensorlayerx)
maxnorm_i_regularizer() (in module tensorlayerx.losses)
maxnorm_o_regularizer() (in module tensorlayerx.losses)
MaxPool1d (class in tensorlayerx.nn)
MaxPool2d (class in tensorlayerx.nn)
MaxPool3d (class in tensorlayerx.nn)
maybe_download_and_extract() (in module tensorlayerx.files)
mean_squared_error() (in module tensorlayerx.losses)
Metric (class in tensorlayerx.metrics)
minibatches() (in module tensorlayerx.utils.iterate)
minimum() (in module tensorlayerx)
Mish (class in tensorlayerx.nn.activation)
Model() (in module tensorlayerx.model)
Module (class in tensorlayerx.nn)
ModuleDict (class in tensorlayerx.nn)
ModuleList (class in tensorlayerx.nn)
Momentum (class in tensorlayerx.optimizers)
moses_multi_bleu() (in module tensorlayerx.text.nlp)
MultiheadAttention (class in tensorlayerx.nn)
multiply() (in module tensorlayerx)
MultiStepDecay (class in tensorlayerx.optimizers.lr)
N
Nadam (class in tensorlayerx.optimizers)
natural_keys() (in module tensorlayerx.files)
NaturalExpDecay (class in tensorlayerx.optimizers.lr)
nce_biases (tensorlayerx.nn.Word2vecEmbedding attribute)
nce_weights (tensorlayerx.nn.Word2vecEmbedding attribute)
negative() (in module tensorlayerx)
NoamDecay (class in tensorlayerx.optimizers.lr)
nontrainable_weights() (tensorlayerx.nn.Module method)
Normalize (class in tensorlayerx.vision.transforms)
normalized_embeddings (tensorlayerx.nn.Word2vecEmbedding attribute)
normalized_mean_square_error() (in module tensorlayerx.losses)
not_equal() (in module tensorlayerx)
npz_to_W_pdf() (in module tensorlayerx.files)
numel() (in module tensorlayerx)
O
OneHot (class in tensorlayerx.nn)
Ones (class in tensorlayerx.nn.initializers)
ones() (in module tensorlayerx)
ones_like() (in module tensorlayerx)
outputs (tensorlayerx.nn.AverageEmbedding attribute)
(tensorlayerx.nn.Embedding attribute)
(tensorlayerx.nn.Word2vecEmbedding attribute)
P
Pad (class in tensorlayerx.vision.transforms)
pad_id (tensorlayerx.text.nlp.Vocabulary attribute)
PadLayer (class in tensorlayerx.nn)
PadToBoundingbox (class in tensorlayerx.vision.transforms)
Parameter() (in module tensorlayerx.nn)
ParameterDict (class in tensorlayerx.nn)
ParameterList (class in tensorlayerx.nn)
PiecewiseDecay (class in tensorlayerx.optimizers.lr)
PolynomialDecay (class in tensorlayerx.optimizers.lr)
pop() (tensorlayerx.nn.ModuleDict method)
(tensorlayerx.nn.ParameterDict method)
popitem() (tensorlayerx.nn.ParameterDict method)
pow() (in module tensorlayerx)
Precision (class in tensorlayerx.metrics)
PRelu (class in tensorlayerx.nn.activation)
PRelu6 (class in tensorlayerx.nn.activation)
process_sentence() (in module tensorlayerx.text.nlp)
ptb_iterator() (in module tensorlayerx.utils.iterate)
PTRelu6 (class in tensorlayerx.nn.activation)
R
Ramp (class in tensorlayerx.nn.activation)
random_normal() (in module tensorlayerx)
random_split (class in tensorlayerx.dataflow)
random_uniform() (in module tensorlayerx)
RandomAffine (class in tensorlayerx.vision.transforms)
RandomBrightness (class in tensorlayerx.vision.transforms)
RandomContrast (class in tensorlayerx.vision.transforms)
RandomCrop (class in tensorlayerx.vision.transforms)
RandomFlipHorizontal (class in tensorlayerx.vision.transforms)
RandomFlipVertical (class in tensorlayerx.vision.transforms)
RandomHue (class in tensorlayerx.vision.transforms)
RandomNormal (class in tensorlayerx.nn.initializers)
RandomResizedCrop (class in tensorlayerx.vision.transforms)
RandomRotation (class in tensorlayerx.vision.transforms)
RandomSampler (class in tensorlayerx.dataflow)
RandomSaturation (class in tensorlayerx.vision.transforms)
RandomShear (class in tensorlayerx.vision.transforms)
RandomShift (class in tensorlayerx.vision.transforms)
RandomUniform (class in tensorlayerx.nn.initializers)
RandomZoom (class in tensorlayerx.vision.transforms)
read_analogies_file() (in module tensorlayerx.text.nlp)
read_file() (in module tensorlayerx.files)
read_image() (in module tensorlayerx.utils.visualize)
read_images() (in module tensorlayerx.utils.visualize)
read_words() (in module tensorlayerx.text.nlp)
real() (in module tensorlayerx)
Recall (class in tensorlayerx.metrics)
reciprocal() (in module tensorlayerx)
reduce_max() (in module tensorlayerx)
reduce_mean() (in module tensorlayerx)
reduce_min() (in module tensorlayerx)
reduce_prod() (in module tensorlayerx)
reduce_std() (in module tensorlayerx)
reduce_sum() (in module tensorlayerx)
reduce_variance() (in module tensorlayerx)
ReduceOnPlateau (class in tensorlayerx.optimizers.lr)
ReLU (class in tensorlayerx.nn.activation)
ReLU6 (class in tensorlayerx.nn.activation)
reset() (tensorlayerx.metrics.Accuracy method)
(tensorlayerx.metrics.Auc method)
(tensorlayerx.metrics.Metric method)
(tensorlayerx.metrics.Precision method)
(tensorlayerx.metrics.Recall method)
Reshape (class in tensorlayerx.nn)
reshape() (in module tensorlayerx)
Resize (class in tensorlayerx.vision.transforms)
ResNet50() (in module examples.model_zoo)
result() (tensorlayerx.metrics.Accuracy method)
(tensorlayerx.metrics.Auc method)
(tensorlayerx.metrics.Metric method)
(tensorlayerx.metrics.Precision method)
(tensorlayerx.metrics.Recall method)
reverse_vocab (tensorlayerx.text.nlp.Vocabulary attribute)
RgbToGray (class in tensorlayerx.vision.transforms)
RgbToHsv (class in tensorlayerx.vision.transforms)
RMSprop (class in tensorlayerx.optimizers)
RNN (class in tensorlayerx.nn)
RNNCell (class in tensorlayerx.nn)
roll() (in module tensorlayerx)
Rotation (class in tensorlayerx.vision.transforms)
round() (in module tensorlayerx)
rsqrt() (in module tensorlayerx)
S
sample() (in module tensorlayerx.text.nlp)
sample_top() (in module tensorlayerx.text.nlp)
Sampler (class in tensorlayerx.dataflow)
save_any_to_npy() (in module tensorlayerx.files)
save_image (class in tensorlayerx.vision)
save_image() (in module tensorlayerx.utils.visualize)
save_images (class in tensorlayerx.vision)
save_images() (in module tensorlayerx.utils.visualize)
save_npz() (in module tensorlayerx.files)
save_npz_dict() (in module tensorlayerx.files)
save_standard_weights() (tensorlayerx.nn.Module method)
save_vocab() (in module tensorlayerx.text.nlp)
save_weights() (in module tensorlayerx.model)
(tensorlayerx.nn.Module method)
save_weights_to_hdf5() (in module tensorlayerx.files)
Scale (class in tensorlayerx.nn)
scatter_update() (in module tensorlayerx)
segment_max() (in module tensorlayerx)
segment_mean() (in module tensorlayerx)
segment_min() (in module tensorlayerx)
segment_prod() (in module tensorlayerx)
segment_sum() (in module tensorlayerx)
sentence_to_token_ids() (in module tensorlayerx.text.nlp)
SeparableConv1d (class in tensorlayerx.nn)
SeparableConv2d (class in tensorlayerx.nn)
seq_minibatches() (in module tensorlayerx.utils.iterate)
seq_minibatches2() (in module tensorlayerx.utils.iterate)
Sequential (class in tensorlayerx.nn)
SequentialSampler (class in tensorlayerx.dataflow)
set_device() (in module tensorlayerx)
set_seed() (in module tensorlayerx)
setdefault() (tensorlayerx.nn.ParameterDict method)
SGD (class in tensorlayerx.optimizers)
Shuffle (class in tensorlayerx.nn)
Sigmoid (class in tensorlayerx.nn.activation)
sigmoid() (in module tensorlayerx)
sigmoid_cross_entropy() (in module tensorlayerx.losses)
sign() (in module tensorlayerx)
simple_read_words() (in module tensorlayerx.text.nlp)
SimpleVocabulary (class in tensorlayerx.text.nlp)
sin() (in module tensorlayerx)
sinh() (in module tensorlayerx)
Softmax (class in tensorlayerx.nn.activation)
softmax_cross_entropy_with_logits() (in module tensorlayerx.losses)
Softplus (class in tensorlayerx.nn.activation)
softplus() (in module tensorlayerx)
split() (in module tensorlayerx)
sqrt() (in module tensorlayerx)
square() (in module tensorlayerx)
squared_difference() (in module tensorlayerx)
squeeze() (in module tensorlayerx)
Stack (class in tensorlayerx.nn)
stack() (in module tensorlayerx)
StandardizePerImage (class in tensorlayerx.vision.transforms)
start_id (tensorlayerx.text.nlp.Vocabulary attribute)
StepDecay (class in tensorlayerx.optimizers.lr)
SubpixelConv1d (class in tensorlayerx.nn)
SubpixelConv2d (class in tensorlayerx.nn)
Subset (class in tensorlayerx.dataflow)
SubsetRandomSampler (class in tensorlayerx.dataflow)
subtract() (in module tensorlayerx)
Swish (class in tensorlayerx.nn.activation)
T
tan() (in module tensorlayerx)
Tanh (class in tensorlayerx.nn.activation)
tanh() (in module tensorlayerx)
tensor_scatter_nd_update() (in module tensorlayerx)
TensorDataset (class in tensorlayerx.dataflow)
tensorlayerx (module)
tensorlayerx.dataflow (module)
tensorlayerx.files (module)
tensorlayerx.losses (module)
tensorlayerx.metrics (module)
tensorlayerx.model (module)
tensorlayerx.nn (module)
tensorlayerx.nn.activation (module)
tensorlayerx.nn.initializers (module)
tensorlayerx.optimizers (module)
tensorlayerx.optimizers.lr (module)
tensorlayerx.text.nlp (module)
tensorlayerx.utils.iterate (module)
tensorlayerx.utils.visualize (module)
tensorlayerx.vision (module)
tensorlayerx.vision.transforms (module)
TernaryConv2d (class in tensorlayerx.nn)
TernaryLinear (class in tensorlayerx.nn)
Tile (class in tensorlayerx.nn)
tile() (in module tensorlayerx)
to_device() (in module tensorlayerx)
topk() (in module tensorlayerx)
ToTensor (class in tensorlayerx.vision.transforms)
trainable_weights() (tensorlayerx.nn.Module method)
TrainOneStep() (in module tensorlayerx.model)
Transformer (class in tensorlayerx.nn)
TransformerDecoder (class in tensorlayerx.nn)
TransformerDecoderLayer (class in tensorlayerx.nn)
TransformerEncoder (class in tensorlayerx.nn)
TransformerEncoderLayer (class in tensorlayerx.nn)
Transpose (class in tensorlayerx.nn)
(class in tensorlayerx.vision.transforms)
tril() (in module tensorlayerx)
trin() (in module tensorlayerx.model)
triu() (in module tensorlayerx)
truncated_normal() (in module tensorlayerx)
TruncatedNormal (class in tensorlayerx.nn.initializers)
tsne_embedding() (in module tensorlayerx.utils.visualize)
U
unk_id (tensorlayerx.text.nlp.Vocabulary attribute)
unsorted_segment_max() (in module tensorlayerx)
unsorted_segment_mean() (in module tensorlayerx)
unsorted_segment_min() (in module tensorlayerx)
unsorted_segment_sum() (in module tensorlayerx)
UnStack (class in tensorlayerx.nn)
update() (tensorlayerx.metrics.Accuracy method)
(tensorlayerx.metrics.Auc method)
(tensorlayerx.metrics.Metric method)
(tensorlayerx.metrics.Precision method)
(tensorlayerx.metrics.Recall method)
(tensorlayerx.nn.ModuleDict method)
(tensorlayerx.nn.ParameterDict method)
UpSampling2d (class in tensorlayerx.nn)
V
values() (tensorlayerx.nn.ModuleDict method)
(tensorlayerx.nn.ParameterDict method)
Variable() (in module tensorlayerx)
vgg16() (in module examples.model_zoo)
vgg19() (in module examples.model_zoo)
vocab (tensorlayerx.text.nlp.Vocabulary attribute)
Vocabulary (class in tensorlayerx.text.nlp)
W
WeightedRandomSampler (class in tensorlayerx.dataflow)
weights() (tensorlayerx.nn.Sequential method)
where() (in module tensorlayerx)
WithGrad() (in module tensorlayerx.model)
WithLoss() (in module tensorlayerx.model)
Word2vecEmbedding (class in tensorlayerx.nn)
word_ids_to_words() (in module tensorlayerx.text.nlp)
words_to_word_ids() (in module tensorlayerx.text.nlp)
X
xavier_normal() (in module tensorlayerx)
xavier_uniform() (in module tensorlayerx)
XavierNormal (class in tensorlayerx.nn.initializers)
XavierUniform (class in tensorlayerx.nn.initializers)
Y
YOLOv4() (in module examples.model_zoo)
Z
ZeroPad1d (class in tensorlayerx.nn)
ZeroPad2d (class in tensorlayerx.nn)
ZeroPad3d (class in tensorlayerx.nn)
Zeros (class in tensorlayerx.nn.initializers)
zeros() (in module tensorlayerx)
zeros_like() (in module tensorlayerx)
Read the Docs
v: stable
Versions
latest
stable
v0.5.8
v0.5.7
v0.5.6
v0.5.4
v0.5.3
v0.5.1
v0.5.0
Downloads
pdf
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.