TensorLayerX
v0.5.1
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API - Optimizers
TensorLayerX
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Z
_
__call__() (tensorlayerx.nn.Module method)
__init__() (tensorlayerx.nn.Module method)
(tensorlayerx.nn.ModuleList method)
(tensorlayerx.nn.Sequential method)
_get_weights() (tensorlayerx.nn.Module method)
A
abs() (in module tensorlayerx)
absolute_difference_error() (in module tensorlayerx.losses)
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)
AdaptiveMaxPool1d (class in tensorlayerx.nn)
AdaptiveMaxPool2d (class in tensorlayerx.nn)
AdaptiveMaxPool3d (class in tensorlayerx.nn)
AdaptiveMeanPool1d (class in tensorlayerx.nn)
AdaptiveMeanPool2d (class in tensorlayerx.nn)
AdaptiveMeanPool3d (class in tensorlayerx.nn)
add() (in module tensorlayerx)
adjust_hue() (in module tensorlayerx.utils.prepro)
AdjustBrightness (class in tensorlayerx.vision.transforms)
AdjustContrast (class in tensorlayerx.vision.transforms)
AdjustHue (class in tensorlayerx.vision.transforms)
AdjustSaturation (class in tensorlayerx.vision.transforms)
affine_horizontal_flip_matrix() (in module tensorlayerx.utils.prepro)
affine_respective_zoom_matrix() (in module tensorlayerx.utils.prepro)
affine_rotation_matrix() (in module tensorlayerx.utils.prepro)
affine_shear_matrix() (in module tensorlayerx.utils.prepro)
affine_shift_matrix() (in module tensorlayerx.utils.prepro)
affine_transform_cv2() (in module tensorlayerx.utils.prepro)
affine_transform_keypoints() (in module tensorlayerx.utils.prepro)
affine_vertical_flip_matrix() (in module tensorlayerx.utils.prepro)
affine_zoom_matrix() (in module tensorlayerx.utils.prepro)
all() (in module tensorlayerx)
all_weights() (tensorlayerx.nn.Module method)
angle() (in module tensorlayerx)
any() (in module tensorlayerx)
append() (tensorlayerx.nn.ModuleList method)
arange() (in module tensorlayerx)
argmax() (in module tensorlayerx)
argmin() (in module tensorlayerx)
argsort() (in module tensorlayerx)
array_to_img() (in module tensorlayerx.utils.prepro)
asin() (in module tensorlayerx)
asinh() (in module tensorlayerx)
assign_weights() (in module tensorlayerx.files)
atan() (in module tensorlayerx)
atanh() (in module tensorlayerx)
AverageEmbedding (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)
binary_dilation() (in module tensorlayerx.utils.prepro)
binary_erosion() (in module tensorlayerx.utils.prepro)
BinaryConv2d (class in tensorlayerx.nn)
BinaryLinear (class in tensorlayerx.nn)
bmm() (in module tensorlayerx)
brightness() (in module tensorlayerx.utils.prepro)
brightness_multi() (in module tensorlayerx.utils.prepro)
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)
channel_shift() (in module tensorlayerx.utils.prepro)
channel_shift_multi() (in module tensorlayerx.utils.prepro)
CHW2HWC (class in tensorlayerx.vision.transforms)
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)
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)
crop() (in module tensorlayerx.utils.prepro)
crop_multi() (in module tensorlayerx.utils.prepro)
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)
dice_coe() (in module tensorlayerx.losses)
dice_hard_coe() (in module tensorlayerx.losses)
dilation() (in module tensorlayerx.utils.prepro)
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)
drop() (in module tensorlayerx.utils.prepro)
DropconnectLinear (class in tensorlayerx.nn)
Dropout (class in tensorlayerx.nn)
E
elastic_transform() (in module tensorlayerx.utils.prepro)
elastic_transform_multi() (in module tensorlayerx.utils.prepro)
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)
erosion() (in module tensorlayerx.utils.prepro)
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)
F
featurewise_norm() (in module tensorlayerx.utils.prepro)
file_exists() (in module tensorlayerx.files)
find_contours() (in module tensorlayerx.utils.prepro)
Flatten (class in tensorlayerx.nn)
flip_axis() (in module tensorlayerx.utils.prepro)
flip_axis_multi() (in module tensorlayerx.utils.prepro)
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)
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_tensor_shape() (in module tensorlayerx)
GlobalMaxPool1d (class in tensorlayerx.nn)
GlobalMaxPool2d (class in tensorlayerx.nn)
GlobalMaxPool3d (class in tensorlayerx.nn)
GlobalMeanPool1d (class in tensorlayerx.nn)
GlobalMeanPool2d (class in tensorlayerx.nn)
GlobalMeanPool3d (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
HardTanh (class in tensorlayerx.nn.activation)
he_normal() (in module tensorlayerx)
HeNormal (class in tensorlayerx.nn.initializers)
hsv_to_rgb() (in module tensorlayerx.utils.prepro)
HsvToRgb (class in tensorlayerx.vision.transforms)
HWC2CHW (class in tensorlayerx.vision.transforms)
I
illumination() (in module tensorlayerx.utils.prepro)
images2d() (in module tensorlayerx.utils.visualize)
imresize() (in module tensorlayerx.utils.prepro)
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)
IterableDataset (class in tensorlayerx.dataflow)
K
keypoint_random_crop() (in module tensorlayerx.utils.prepro)
keypoint_random_flip() (in module tensorlayerx.utils.prepro)
keypoint_random_resize() (in module tensorlayerx.utils.prepro)
keypoint_random_resize_shortestedge() (in module tensorlayerx.utils.prepro)
keypoint_random_rotate() (in module tensorlayerx.utils.prepro)
keypoint_resize_random_crop() (in module tensorlayerx.utils.prepro)
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.utils)
load_images (class in tensorlayerx.vision.utils)
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)
LRScheduler (class in tensorlayerx.optimizers.lr)
LSTM (class in tensorlayerx.nn)
LSTMCell (class in tensorlayerx.nn)
M
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)
MeanPool1d (class in tensorlayerx.nn)
MeanPool2d (class in tensorlayerx.nn)
MeanPool3d (class in tensorlayerx.nn)
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)
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)
O
obj_box_coord_centroid_to_upleft() (in module tensorlayerx.utils.prepro)
obj_box_coord_centroid_to_upleft_butright() (in module tensorlayerx.utils.prepro)
obj_box_coord_rescale() (in module tensorlayerx.utils.prepro)
obj_box_coord_scale_to_pixelunit() (in module tensorlayerx.utils.prepro)
obj_box_coord_upleft_butright_to_centroid() (in module tensorlayerx.utils.prepro)
obj_box_coord_upleft_to_centroid() (in module tensorlayerx.utils.prepro)
obj_box_coords_rescale() (in module tensorlayerx.utils.prepro)
obj_box_crop() (in module tensorlayerx.utils.prepro)
obj_box_horizontal_flip() (in module tensorlayerx.utils.prepro)
obj_box_imresize() (in module tensorlayerx.utils.prepro)
obj_box_shift() (in module tensorlayerx.utils.prepro)
obj_box_zoom() (in module tensorlayerx.utils.prepro)
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)
pad_sequences() (in module tensorlayerx.utils.prepro)
PadLayer (class in tensorlayerx.nn)
PadToBoundingbox (class in tensorlayerx.vision.transforms)
parse_darknet_ann_list_to_cls_box() (in module tensorlayerx.utils.prepro)
parse_darknet_ann_str_to_list() (in module tensorlayerx.utils.prepro)
PiecewiseDecay (class in tensorlayerx.optimizers.lr)
pixel_value_scale() (in module tensorlayerx.utils.prepro)
PolynomialDecay (class in tensorlayerx.optimizers.lr)
PoolLayer (class in tensorlayerx.nn)
pow() (in module tensorlayerx)
PRelu (class in tensorlayerx.nn.activation)
PRelu6 (class in tensorlayerx.nn.activation)
process_sentence() (in module tensorlayerx.text.nlp)
process_sequences() (in module tensorlayerx.utils.prepro)
projective_transform_by_points() (in module tensorlayerx.utils.prepro)
pt2map() (in module tensorlayerx.utils.prepro)
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)
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)
remove_pad_sequences() (in module tensorlayerx.utils.prepro)
Reshape (class in tensorlayerx.nn)
reshape() (in module tensorlayerx)
Resize (class in tensorlayerx.vision.transforms)
ResNet50() (in module examples.model_zoo)
respective_zoom() (in module tensorlayerx.utils.prepro)
reverse_vocab (tensorlayerx.text.nlp.Vocabulary attribute)
rgb_to_hsv() (in module tensorlayerx.utils.prepro)
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)
Rotation (class in tensorlayerx.vision.transforms)
rotation() (in module tensorlayerx.utils.prepro)
rotation_multi() (in module tensorlayerx.utils.prepro)
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)
samplewise_norm() (in module tensorlayerx.utils.prepro)
save_any_to_npy() (in module tensorlayerx.files)
save_image (class in tensorlayerx.vision.utils)
save_image() (in module tensorlayerx.utils.visualize)
save_images (class in tensorlayerx.vision.utils)
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)
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)
sequences_add_end_id() (in module tensorlayerx.utils.prepro)
sequences_add_end_id_after_pad() (in module tensorlayerx.utils.prepro)
sequences_add_start_id() (in module tensorlayerx.utils.prepro)
sequences_get_mask() (in module tensorlayerx.utils.prepro)
Sequential (class in tensorlayerx.nn)
SequentialSampler (class in tensorlayerx.dataflow)
set_seed() (in module tensorlayerx)
SGD (class in tensorlayerx.optimizers)
shear() (in module tensorlayerx.utils.prepro)
shear2() (in module tensorlayerx.utils.prepro)
shear_multi() (in module tensorlayerx.utils.prepro)
shear_multi2() (in module tensorlayerx.utils.prepro)
shift() (in module tensorlayerx.utils.prepro)
shift_multi() (in module tensorlayerx.utils.prepro)
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)
swirl() (in module tensorlayerx.utils.prepro)
swirl_multi() (in module tensorlayerx.utils.prepro)
Swish (class in tensorlayerx.nn.activation)
T
tan() (in module tensorlayerx)
Tanh (class in tensorlayerx.nn.activation)
tanh() (in module tensorlayerx)
TensorDataset (class in tensorlayerx.dataflow)
tensorlayerx (module)
tensorlayerx.dataflow (module)
tensorlayerx.files (module)
tensorlayerx.losses (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.prepro (module)
tensorlayerx.utils.visualize (module)
tensorlayerx.vision.transforms (module)
tensorlayerx.vision.utils (module)
TernaryConv2d (class in tensorlayerx.nn)
TernaryLinear (class in tensorlayerx.nn)
Tile (class in tensorlayerx.nn)
tile() (in module tensorlayerx)
ToTensor (class in tensorlayerx.vision.transforms)
trainable_weights() (tensorlayerx.nn.Module method)
TrainOneStep() (in module tensorlayerx.model)
transform_matrix_offset_center() (in module tensorlayerx.utils.prepro)
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)
UpSampling2d (class in tensorlayerx.nn)
V
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)
zoom() (in module tensorlayerx.utils.prepro)
zoom_multi() (in module tensorlayerx.utils.prepro)
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