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Table Of Contents
Python Tutorials
Getting Started
Crash Course
Manipulate data with
ndarray
Create a neural network
Automatic differentiation with
autograd
Train the neural network
Predict with a pre-trained model
Use GPUs
Moving to MXNet from Other Frameworks
PyTorch vs Apache MXNet
Gluon: from experiment to deployment
Logistic regression explained
MNIST
Packages
Automatic Differentiation
Gluon
Blocks
Custom Layers
Customer Layers (Beginners)
Hybridize
Initialization
Parameter and Block Naming
Layers and Blocks
Parameter Management
Saving and Loading Gluon Models
Activation Blocks
Image Tutorials
Image Augmentation
Handwritten Digit Recognition
Using pre-trained models in MXNet
Losses
Custom Loss Blocks
Kullback-Leibler (KL) Divergence
Loss functions
Text Tutorials
Google Neural Machine Translation
Machine Translation with Transformer
Training
MXNet Gluon Fit API
Trainer
Learning Rates
Learning Rate Finder
Learning Rate Schedules
Advanced Learning Rate Schedules
Normalization Blocks
KVStore
Distributed Key-Value Store
NDArray
An Intro: Manipulate Data the MXNet Way with NDArray
NDArray Operations
NDArray Contexts
Gotchas using NumPy in Apache MXNet
Tutorials
CSRNDArray - NDArray in Compressed Sparse Row Storage Format
RowSparseNDArray - NDArray for Sparse Gradient Updates
Train a Linear Regression Model with Sparse Symbols
Sparse NDArrays with Gluon
ONNX
Fine-tuning an ONNX model
Running inference on MXNet/Gluon from an ONNX model
Importing an ONNX model into MXNet
Export ONNX Models
Optimizers
Visualization
Visualize networks
Performance
Compression
Deploy with int-8
Float16
Gradient Compression
GluonCV with Quantized Models
Accelerated Backend Tools
Intel MKL-DNN
Quantize with MKL-DNN backend
Install MXNet with MKL-DNN
TensorRT
Optimized GPU Inference
Use TVM
Profiling MXNet Models
Using AMP: Automatic Mixed Precision
Deployment
Export
Exporting to ONNX format
Export Gluon CV Models
Save / Load Parameters
Inference
Deploy into C++
Deploy into a Java or Scala Environment
Real-time Object Detection with MXNet On The Raspberry Pi
Run on AWS
Run on an EC2 Instance
Run on Amazon SageMaker
MXNet on the Cloud
Extend
Custom Layers
Custom Numpy Operators
New Operator Creation
New Operator in MXNet Backend
Python API
mxnet.ndarray
ndarray
ndarray.contrib
ndarray.image
ndarray.linalg
ndarray.op
ndarray.random
ndarray.register
ndarray.sparse
ndarray.utils
mxnet.gluon
gluon.Block
gluon.HybridBlock
gluon.SymbolBlock
gluon.Constant
gluon.Parameter
gluon.ParameterDict
gluon.Trainer
gluon.contrib
gluon.data
data.vision
vision.datasets
vision.transforms
gluon.loss
gluon.model_zoo.vision
gluon.nn
gluon.rnn
gluon.utils
mxnet.autograd
mxnet.initializer
mxnet.optimizer
mxnet.lr_scheduler
mxnet.metric
mxnet.kvstore
mxnet.symbol
symbol
symbol.contrib
symbol.image
symbol.linalg
symbol.op
symbol.random
symbol.register
symbol.sparse
mxnet.module
mxnet.contrib
contrib.autograd
contrib.io
contrib.ndarray
contrib.onnx
contrib.quantization
contrib.symbol
contrib.tensorboard
contrib.tensorrt
contrib.text
mxnet
mxnet.attribute
mxnet.base
mxnet.callback
mxnet.context
mxnet.engine
mxnet.executor
mxnet.executor_manager
mxnet.image
mxnet.io
mxnet.kvstore_server
mxnet.libinfo
mxnet.log
mxnet.model
mxnet.monitor
mxnet.name
mxnet.notebook
mxnet.operator
mxnet.profiler
mxnet.random
mxnet.recordio
mxnet.registry
mxnet.rtc
mxnet.test_utils
mxnet.torch
mxnet.util
mxnet.visualization
Table Of Contents
Python Tutorials
Getting Started
Crash Course
Manipulate data with
ndarray
Create a neural network
Automatic differentiation with
autograd
Train the neural network
Predict with a pre-trained model
Use GPUs
Moving to MXNet from Other Frameworks
PyTorch vs Apache MXNet
Gluon: from experiment to deployment
Logistic regression explained
MNIST
Packages
Automatic Differentiation
Gluon
Blocks
Custom Layers
Customer Layers (Beginners)
Hybridize
Initialization
Parameter and Block Naming
Layers and Blocks
Parameter Management
Saving and Loading Gluon Models
Activation Blocks
Image Tutorials
Image Augmentation
Handwritten Digit Recognition
Using pre-trained models in MXNet
Losses
Custom Loss Blocks
Kullback-Leibler (KL) Divergence
Loss functions
Text Tutorials
Google Neural Machine Translation
Machine Translation with Transformer
Training
MXNet Gluon Fit API
Trainer
Learning Rates
Learning Rate Finder
Learning Rate Schedules
Advanced Learning Rate Schedules
Normalization Blocks
KVStore
Distributed Key-Value Store
NDArray
An Intro: Manipulate Data the MXNet Way with NDArray
NDArray Operations
NDArray Contexts
Gotchas using NumPy in Apache MXNet
Tutorials
CSRNDArray - NDArray in Compressed Sparse Row Storage Format
RowSparseNDArray - NDArray for Sparse Gradient Updates
Train a Linear Regression Model with Sparse Symbols
Sparse NDArrays with Gluon
ONNX
Fine-tuning an ONNX model
Running inference on MXNet/Gluon from an ONNX model
Importing an ONNX model into MXNet
Export ONNX Models
Optimizers
Visualization
Visualize networks
Performance
Compression
Deploy with int-8
Float16
Gradient Compression
GluonCV with Quantized Models
Accelerated Backend Tools
Intel MKL-DNN
Quantize with MKL-DNN backend
Install MXNet with MKL-DNN
TensorRT
Optimized GPU Inference
Use TVM
Profiling MXNet Models
Using AMP: Automatic Mixed Precision
Deployment
Export
Exporting to ONNX format
Export Gluon CV Models
Save / Load Parameters
Inference
Deploy into C++
Deploy into a Java or Scala Environment
Real-time Object Detection with MXNet On The Raspberry Pi
Run on AWS
Run on an EC2 Instance
Run on Amazon SageMaker
MXNet on the Cloud
Extend
Custom Layers
Custom Numpy Operators
New Operator Creation
New Operator in MXNet Backend
Python API
mxnet.ndarray
ndarray
ndarray.contrib
ndarray.image
ndarray.linalg
ndarray.op
ndarray.random
ndarray.register
ndarray.sparse
ndarray.utils
mxnet.gluon
gluon.Block
gluon.HybridBlock
gluon.SymbolBlock
gluon.Constant
gluon.Parameter
gluon.ParameterDict
gluon.Trainer
gluon.contrib
gluon.data
data.vision
vision.datasets
vision.transforms
gluon.loss
gluon.model_zoo.vision
gluon.nn
gluon.rnn
gluon.utils
mxnet.autograd
mxnet.initializer
mxnet.optimizer
mxnet.lr_scheduler
mxnet.metric
mxnet.kvstore
mxnet.symbol
symbol
symbol.contrib
symbol.image
symbol.linalg
symbol.op
symbol.random
symbol.register
symbol.sparse
mxnet.module
mxnet.contrib
contrib.autograd
contrib.io
contrib.ndarray
contrib.onnx
contrib.quantization
contrib.symbol
contrib.tensorboard
contrib.tensorrt
contrib.text
mxnet
mxnet.attribute
mxnet.base
mxnet.callback
mxnet.context
mxnet.engine
mxnet.executor
mxnet.executor_manager
mxnet.image
mxnet.io
mxnet.kvstore_server
mxnet.libinfo
mxnet.log
mxnet.model
mxnet.monitor
mxnet.name
mxnet.notebook
mxnet.operator
mxnet.profiler
mxnet.random
mxnet.recordio
mxnet.registry
mxnet.rtc
mxnet.test_utils
mxnet.torch
mxnet.util
mxnet.visualization
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Z
A
abs() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
Accuracy (class in mxnet.metric)
Activation (class in mxnet.gluon.nn)
Activation() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
AdaDelta (class in mxnet.optimizer)
AdaGrad (class in mxnet.optimizer)
adagrad_update() (in module mxnet.ndarray.sparse)
(in module mxnet.symbol.sparse)
Adam (class in mxnet.optimizer)
adam_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
Adamax (class in mxnet.optimizer)
AdaptiveAvgPooling2D() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
add() (in module mxnet.ndarray)
(in module mxnet.ndarray.sparse)
(mxnet.gluon.nn.HybridSequential method)
(mxnet.gluon.nn.Sequential method)
(mxnet.gluon.rnn.HybridSequentialRNNCell method)
(mxnet.gluon.rnn.SequentialRNNCell method)
(mxnet.metric.CompositeEvalMetric method)
(mxnet.module.SequentialModule method)
add_n() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
adjust_lighting() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
AlexNet (class in mxnet.gluon.model_zoo.vision)
alexnet() (in module mxnet.gluon.model_zoo.vision)
all_finite() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
allclose() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
allreduce_grads() (mxnet.gluon.Trainer method)
almost_equal() (in module mxnet.test_utils)
almost_equal_ignore_nan() (in module mxnet.test_utils)
amp_cast() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
amp_multicast() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
apply() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
arange() (in module mxnet.ndarray)
(in module mxnet.symbol)
arange_like() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
arccos() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
arccosh() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
arcsin() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
arcsinh() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
arctan() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
arctanh() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
arg_dict() (mxnet.executor.Executor property)
argmax() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
argmax_channel() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
argmin() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
argsort() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
array() (in module mxnet.ndarray)
(in module mxnet.ndarray.utils)
ArrayDataset (class in mxnet.gluon.data)
as_in_context() (mxnet.ndarray.NDArray method)
as_nd_ndarray() (mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
as_np_ndarray() (mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
asnumpy() (mxnet.ndarray.NDArray method)
(mxnet.ndarray.sparse.BaseSparseNDArray method)
asscalar() (mxnet.ndarray.NDArray method)
asscipy() (mxnet.ndarray.sparse.CSRNDArray method)
assert_almost_equal() (in module mxnet.test_utils)
assert_almost_equal_ignore_nan() (in module mxnet.test_utils)
assert_almost_equal_with_err() (in module mxnet.test_utils)
assert_exception() (in module mxnet.test_utils)
assign() (mxnet.operator.CustomOp method)
assign_each() (in module mxnet.test_utils)
assign_each2() (in module mxnet.test_utils)
astype() (mxnet.ndarray.NDArray method)
(mxnet.ndarray.sparse.BaseSparseNDArray method)
(mxnet.symbol.Symbol method)
attach_grad() (mxnet.ndarray.NDArray method)
attr() (mxnet.symbol.Symbol method)
attr_dict() (mxnet.symbol.Symbol method)
AttrScope (class in mxnet.attribute)
augmentation_transform() (mxnet.image.ImageDetIter method)
(mxnet.image.ImageIter method)
Augmenter (class in mxnet.image)
aux_arrays() (mxnet.executor_manager.DataParallelExecutorManager property)
aux_dict() (mxnet.executor.Executor property)
AvgPool1D (class in mxnet.gluon.nn)
AvgPool2D (class in mxnet.gluon.nn)
AvgPool3D (class in mxnet.gluon.nn)
B
backward() (in module mxnet.autograd)
(in module mxnet.contrib.autograd)
(mxnet.autograd.Function method)
(mxnet.executor.Executor method)
(mxnet.executor_manager.DataParallelExecutorGroup method)
(mxnet.executor_manager.DataParallelExecutorManager method)
(mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonLossModule method)
(mxnet.module.SequentialModule method)
(mxnet.ndarray.NDArray method)
(mxnet.operator.CustomOp method)
(mxnet.operator.PythonOp method)
backward_gradientmultiplier() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
backward_hawkesll() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
backward_index_copy() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
backward_quadratic() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
BaseModule (class in mxnet.module)
BaseSparseNDArray (class in mxnet.ndarray.sparse)
BasicBlockV1 (class in mxnet.gluon.model_zoo.vision)
BasicBlockV2 (class in mxnet.gluon.model_zoo.vision)
batch_dot() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
batch_take() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
BatchEndParam (in module mxnet.model)
BatchNorm (class in mxnet.gluon.nn)
BatchNorm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
BatchNorm_v1() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
BatchProcessor (class in mxnet.gluon.contrib.estimator)
BatchSampler (class in mxnet.gluon.data)
begin_state() (mxnet.gluon.rnn.BidirectionalCell method)
(mxnet.gluon.rnn.HybridSequentialRNNCell method)
(mxnet.gluon.rnn.ModifierCell method)
(mxnet.gluon.rnn.RecurrentCell method)
(mxnet.gluon.rnn.SequentialRNNCell method)
BidirectionalCell (class in mxnet.gluon.rnn)
Bilinear (class in mxnet.initializer)
BilinearResize2D() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
BilinearSampler() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
bind() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonModule method)
(mxnet.module.SequentialModule method)
(mxnet.symbol.Symbol method)
bipartite_matching() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
Block (class in mxnet.gluon)
(class in mxnet.gluon.nn)
BlockGrad() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
boolean_mask() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
borrow_optimizer() (mxnet.module.Module method)
BottleneckV1 (class in mxnet.gluon.model_zoo.vision)
BottleneckV2 (class in mxnet.gluon.model_zoo.vision)
box_decode() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
box_encode() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
box_iou() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
box_nms() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
box_non_maximum_suppression() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
BrightnessJitterAug (class in mxnet.image)
broadcast_add() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
broadcast_axes() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
broadcast_axis() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_div() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
broadcast_equal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_greater() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_greater_equal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_hypot() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_lesser() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_lesser_equal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_like() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
broadcast_logical_and() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_logical_or() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_logical_xor() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_maximum() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_minimum() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_minus() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
broadcast_mod() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_mul() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
broadcast_not_equal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_plus() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
broadcast_power() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
broadcast_sub() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
broadcast_to() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
BucketingModule (class in mxnet.module)
bulk() (in module mxnet.engine)
C
c_int_p (in module mxnet.operator)
CachedOp (class in mxnet.ndarray)
(class in mxnet.ndarray.op)
Caffe (class in mxnet.metric)
calib_graph() (in module mxnet.contrib.quantization)
calibrate_entropy() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
Cast (class in mxnet.gluon.data.vision.transforms)
Cast() (in module mxnet.ndarray)
cast() (in module mxnet.ndarray)
Cast() (in module mxnet.ndarray.op)
cast() (in module mxnet.ndarray.op)
Cast() (in module mxnet.symbol)
cast() (in module mxnet.symbol)
Cast() (in module mxnet.symbol.op)
cast() (in module mxnet.symbol.op)
(mxnet.gluon.Block method)
(mxnet.gluon.Constant method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.BatchNorm method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.nn.SymbolBlock method)
(mxnet.gluon.Parameter method)
(mxnet.gluon.SymbolBlock method)
cast_storage() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
CastAug (class in mxnet.image)
cbrt() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
ccSGD (class in mxnet.optimizer)
ceil() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
center_crop() (in module mxnet.image)
CenterCrop (class in mxnet.gluon.data.vision.transforms)
CenterCropAug (class in mxnet.image)
check_consistency() (in module mxnet.test_utils)
check_data_shape() (mxnet.image.ImageIter method)
check_format() (mxnet.ndarray.sparse.BaseSparseNDArray method)
check_label_shape() (mxnet.image.ImageDetIter method)
check_label_shapes() (in module mxnet.metric)
check_numeric_gradient() (in module mxnet.test_utils)
check_sha1() (in module mxnet.gluon.utils)
check_speed() (in module mxnet.test_utils)
check_symbolic_backward() (in module mxnet.test_utils)
check_symbolic_forward() (in module mxnet.test_utils)
check_valid_image() (mxnet.image.ImageIter method)
CheckpointHandler (class in mxnet.gluon.contrib.estimator)
chi_square_check() (in module mxnet.test_utils)
choose_element_0index() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
CIFAR10 (class in mxnet.gluon.data.vision.datasets)
CIFAR100 (class in mxnet.gluon.data.vision.datasets)
clip() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
clip_global_norm() (in module mxnet.gluon.utils)
close() (mxnet.recordio.MXIndexedRecordIO method)
(mxnet.recordio.MXRecordIO method)
collapse_sum_like() (in module mxnet.test_utils)
collect_params() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
color_normalize() (in module mxnet.image)
ColorJitterAug (class in mxnet.image)
ColorNormalizeAug (class in mxnet.image)
combine_histogram() (in module mxnet.contrib.quantization)
compare_ndarray_tuple() (in module mxnet.test_utils)
compare_optimizer() (in module mxnet.test_utils)
Compose (class in mxnet.gluon.data.vision.transforms)
CompositeEvalMetric (class in mxnet.metric)
compute_gradient() (in module mxnet.contrib.autograd)
Concat() (in module mxnet.ndarray)
concat() (in module mxnet.ndarray)
Concat() (in module mxnet.ndarray.op)
concat() (in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
Concat() (in module mxnet.symbol)
concat() (in module mxnet.symbol)
Concat() (in module mxnet.symbol.op)
concat() (in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
concatenate() (in module mxnet.ndarray)
Concurrent (class in mxnet.gluon.contrib.nn)
cond() (in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
Constant (class in mxnet.gluon)
(class in mxnet.initializer)
Context (class in mxnet.context)
context() (mxnet.ndarray.NDArray property)
ContrastJitterAug (class in mxnet.image)
Conv1D (class in mxnet.gluon.nn)
Conv1DGRUCell (class in mxnet.gluon.contrib.rnn)
Conv1DLSTMCell (class in mxnet.gluon.contrib.rnn)
Conv1DRNNCell (class in mxnet.gluon.contrib.rnn)
Conv1DTranspose (class in mxnet.gluon.nn)
Conv2D (class in mxnet.gluon.nn)
Conv2DGRUCell (class in mxnet.gluon.contrib.rnn)
Conv2DLSTMCell (class in mxnet.gluon.contrib.rnn)
Conv2DRNNCell (class in mxnet.gluon.contrib.rnn)
Conv2DTranspose (class in mxnet.gluon.nn)
Conv3D (class in mxnet.gluon.nn)
Conv3DGRUCell (class in mxnet.gluon.contrib.rnn)
Conv3DLSTMCell (class in mxnet.gluon.contrib.rnn)
Conv3DRNNCell (class in mxnet.gluon.contrib.rnn)
Conv3DTranspose (class in mxnet.gluon.nn)
Convolution() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Convolution_v1() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
copy() (mxnet.ndarray.NDArray method)
copy_params_from() (mxnet.executor.Executor method)
copy_to() (mxnet.executor_manager.DataParallelExecutorManager method)
copyMakeBorder() (in module mxnet.image)
copyto() (mxnet.ndarray.NDArray method)
(mxnet.ndarray.sparse.BaseSparseNDArray method)
(mxnet.ndarray.sparse.CSRNDArray method)
(mxnet.ndarray.sparse.RowSparseNDArray method)
Correlation() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
cos() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
cosh() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
CosineEmbeddingLoss (class in mxnet.gluon.loss)
CosineScheduler (class in mxnet.lr_scheduler)
count_sketch() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
Counter (class in mxnet.profiler)
cpu() (in module mxnet.context)
cpu_pinned() (in module mxnet.context)
create() (in module mxnet.kvstore)
(in module mxnet.metric)
(in module mxnet.optimizer)
(mxnet.model.FeedForward static method)
create_operator() (mxnet.operator.CustomOpProp method)
create_optimizer() (mxnet.optimizer.Optimizer static method)
create_sparse_array() (in module mxnet.test_utils)
create_sparse_array_zd() (in module mxnet.test_utils)
create_state() (mxnet.optimizer.AdaDelta method)
(mxnet.optimizer.AdaGrad method)
(mxnet.optimizer.Adam method)
(mxnet.optimizer.Adamax method)
(mxnet.optimizer.DCASGD method)
(mxnet.optimizer.FTML method)
(mxnet.optimizer.Ftrl method)
(mxnet.optimizer.LAMB method)
(mxnet.optimizer.LARS method)
(mxnet.optimizer.LBSGD method)
(mxnet.optimizer.Nadam method)
(mxnet.optimizer.NAG method)
(mxnet.optimizer.Optimizer method)
(mxnet.optimizer.RMSProp method)
(mxnet.optimizer.SGD method)
(mxnet.optimizer.SGLD method)
(mxnet.optimizer.Signum method)
(mxnet.optimizer.Test method)
create_state_multi_precision() (mxnet.optimizer.LARS method)
(mxnet.optimizer.NAG method)
(mxnet.optimizer.Optimizer method)
(mxnet.optimizer.SGD method)
CreateAugmenter() (in module mxnet.image)
CreateDetAugmenter() (in module mxnet.image)
CreateMultiRandCropAugmenter() (in module mxnet.image)
Crop() (in module mxnet.ndarray)
crop() (in module mxnet.ndarray)
(in module mxnet.ndarray.image)
Crop() (in module mxnet.ndarray.op)
crop() (in module mxnet.ndarray.op)
Crop() (in module mxnet.symbol)
crop() (in module mxnet.symbol)
(in module mxnet.symbol.image)
Crop() (in module mxnet.symbol.op)
crop() (in module mxnet.symbol.op)
CropResize (class in mxnet.gluon.data.vision.transforms)
CrossEntropy (class in mxnet.metric)
csr_matrix() (in module mxnet.ndarray.sparse)
CSRNDArray (class in mxnet.ndarray.sparse)
CSVIter() (in module mxnet.io)
ctc_loss() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray)
(in module mxnet.ndarray.contrib)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.contrib)
(in module mxnet.symbol.op)
CTCLoss (class in mxnet.gluon.loss)
CTCLoss() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray)
(in module mxnet.ndarray.contrib)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.contrib)
(in module mxnet.symbol.op)
CudaKernel (class in mxnet.rtc)
CudaModule (class in mxnet.rtc)
cumsum() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
current_context() (in module mxnet.context)
Custom() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
CustomMetric (class in mxnet.metric)
CustomOp (class in mxnet.operator)
CustomOpProp (class in mxnet.operator)
D
data() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
(mxnet.ndarray.sparse.CSRNDArray property)
(mxnet.ndarray.sparse.RowSparseNDArray property)
data_names() (mxnet.module.BaseModule property)
(mxnet.module.BucketingModule property)
(mxnet.module.Module property)
(mxnet.module.PythonModule property)
(mxnet.module.SequentialModule property)
data_shapes() (mxnet.module.BaseModule property)
(mxnet.module.BucketingModule property)
(mxnet.module.Module property)
(mxnet.module.PythonModule property)
(mxnet.module.SequentialModule property)
DataBatch (class in mxnet.io)
DataDesc (class in mxnet.io)
DataIter (class in mxnet.io)
DataLoader (class in mxnet.gluon.data)
DataLoaderIter (class in mxnet.contrib.io)
DataParallelExecutorGroup (class in mxnet.executor_manager)
DataParallelExecutorManager (class in mxnet.executor_manager)
Dataset (class in mxnet.gluon.data)
DCASGD (class in mxnet.optimizer)
debug_str() (mxnet.executor.Executor method)
(mxnet.symbol.Symbol method)
declare_backward_dependency() (mxnet.operator.CustomOpProp method)
(mxnet.operator.NDArrayOp method)
Deconvolution() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
decrement() (mxnet.profiler.Counter method)
default_context() (in module mxnet.test_utils)
default_dtype() (in module mxnet.test_utils)
DeformableConvolution (class in mxnet.gluon.contrib.cnn)
DeformableConvolution() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
DeformablePSROIPooling() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
degrees() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
Dense (class in mxnet.gluon.nn)
DenseNet (class in mxnet.gluon.model_zoo.vision)
densenet121() (in module mxnet.gluon.model_zoo.vision)
densenet161() (in module mxnet.gluon.model_zoo.vision)
densenet169() (in module mxnet.gluon.model_zoo.vision)
densenet201() (in module mxnet.gluon.model_zoo.vision)
depth_to_space() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
dequantize() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
det() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
detach() (mxnet.ndarray.NDArray method)
DetAugmenter (class in mxnet.image)
DetBorrowAug (class in mxnet.image)
DetHorizontalFlipAug (class in mxnet.image)
DetRandomCropAug (class in mxnet.image)
DetRandomPadAug (class in mxnet.image)
DetRandomSelectAug (class in mxnet.image)
device_type() (mxnet.context.Context property)
dgl_adjacency() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
dgl_csr_neighbor_non_uniform_sample() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
dgl_csr_neighbor_uniform_sample() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
dgl_graph_compact() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
dgl_subgraph() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
diag() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
discard_stderr() (in module mxnet.test_utils)
div_sqrt_dim() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
divide() (in module mxnet.ndarray)
(in module mxnet.ndarray.sparse)
do_checkpoint() (in module mxnet.callback)
Domain (class in mxnet.profiler)
dot() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
download() (in module mxnet.gluon.utils)
(in module mxnet.test_utils)
download_model() (in module mxnet.test_utils)
draw_next() (mxnet.image.ImageDetIter method)
Dropout (class in mxnet.gluon.nn)
Dropout() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
DropoutCell (class in mxnet.gluon.rnn)
dtype() (mxnet.gluon.Constant property)
(mxnet.gluon.Parameter property)
(mxnet.ndarray.NDArray property)
DummyIter (class in mxnet.test_utils)
dump() (in module mxnet.profiler)
dump_profile() (in module mxnet.profiler)
dumps() (in module mxnet.profiler)
(mxnet.image.Augmenter method)
(mxnet.image.DetAugmenter method)
(mxnet.image.DetBorrowAug method)
(mxnet.image.DetRandomSelectAug method)
(mxnet.image.RandomOrderAug method)
(mxnet.image.SequentialAug method)
(mxnet.initializer.Constant method)
(mxnet.initializer.Initializer method)
E
EarlyStoppingHandler (class in mxnet.gluon.contrib.estimator)
edge_id() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
ElementWiseSum() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
elemwise_add() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
elemwise_div() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
elemwise_mul() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
elemwise_sub() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
ELU (class in mxnet.gluon.nn)
Embedding (class in mxnet.gluon.nn)
Embedding() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
empty() (in module mxnet.ndarray)
(in module mxnet.ndarray.utils)
empty_cache() (mxnet.context.Context method)
EnvManager (class in mxnet.test_utils)
equal() (in module mxnet.ndarray)
erf() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
erfinv() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Estimator (class in mxnet.gluon.contrib.estimator)
eval() (mxnet.symbol.Symbol method)
EvalMetric (class in mxnet.metric)
evaluate() (mxnet.gluon.contrib.estimator.Estimator method)
evaluate_batch() (mxnet.gluon.contrib.estimator.BatchProcessor method)
Event (class in mxnet.profiler)
Executor (class in mxnet.executor)
exp() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
expand_dims() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
expm1() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
exponential() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
exponential_like() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
export() (mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.SymbolBlock method)
export_model() (in module mxnet.contrib.onnx)
extractdiag() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
extracttrian() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
eye() (in module mxnet.ndarray)
(in module mxnet.symbol)
F
F1 (class in mxnet.metric)
FactorScheduler (class in mxnet.lr_scheduler)
FashionMNIST (class in mxnet.gluon.data.vision.datasets)
FeedForward (class in mxnet.model)
fft() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
fill_element_0index() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
filter() (mxnet.gluon.data.Dataset method)
FilterSampler (class in mxnet.gluon.data)
find_conf_path() (in module mxnet.libinfo)
find_include_path() (in module mxnet.libinfo)
find_lib_path() (in module mxnet.libinfo)
find_max_violation() (in module mxnet.test_utils)
fit() (mxnet.gluon.contrib.estimator.Estimator method)
(mxnet.model.FeedForward method)
(mxnet.module.BaseModule method)
fit_batch() (mxnet.gluon.contrib.estimator.BatchProcessor method)
fix() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
fixed_crop() (in module mxnet.image)
Flatten (class in mxnet.gluon.nn)
Flatten() (in module mxnet.ndarray)
flatten() (in module mxnet.ndarray)
Flatten() (in module mxnet.ndarray.op)
flatten() (in module mxnet.ndarray.op)
Flatten() (in module mxnet.symbol)
flatten() (in module mxnet.symbol)
Flatten() (in module mxnet.symbol.op)
flatten() (in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
flip() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
flip_left_right() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
flip_top_bottom() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
floor() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
ForceResizeAug (class in mxnet.image)
foreach() (in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
forward() (mxnet.autograd.Function method)
(mxnet.executor.Executor method)
(mxnet.executor_manager.DataParallelExecutorGroup method)
(mxnet.executor_manager.DataParallelExecutorManager method)
(mxnet.gluon.Block method)
(mxnet.gluon.contrib.nn.Concurrent method)
(mxnet.gluon.contrib.nn.SparseEmbedding method)
(mxnet.gluon.data.vision.transforms.CenterCrop method)
(mxnet.gluon.data.vision.transforms.RandomResizedCrop method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.nn.Lambda method)
(mxnet.gluon.nn.Sequential method)
(mxnet.gluon.nn.SymbolBlock method)
(mxnet.gluon.rnn.RecurrentCell method)
(mxnet.gluon.SymbolBlock method)
(mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonLossModule method)
(mxnet.module.SequentialModule method)
(mxnet.operator.CustomOp method)
(mxnet.operator.PythonOp method)
forward_backward() (mxnet.module.BaseModule method)
Frame (class in mxnet.profiler)
from_dlpack() (in module mxnet.ndarray)
from_numpy() (in module mxnet.ndarray)
FTML (class in mxnet.optimizer)
ftml_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Ftrl (class in mxnet.optimizer)
ftrl_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
full() (in module mxnet.ndarray)
(in module mxnet.symbol)
FullyConnected() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
Function (class in mxnet.autograd)
FusedRNN (class in mxnet.initializer)
G
gamma() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.random)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.random)
(in module mxnet.symbol.sparse)
gamma_like() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
gammaln() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
gather_nd() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
gelqf() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
GELU (class in mxnet.gluon.nn)
gemm() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
gemm2() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
gen_buckets_probs_with_ppf() (in module mxnet.test_utils)
generalized_negative_binomial() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
generalized_negative_binomial_like() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
get() (mxnet.attribute.AttrScope method)
(mxnet.gluon.ParameterDict method)
(mxnet.metric.CompositeEvalMetric method)
(mxnet.metric.EvalMetric method)
(mxnet.metric.PearsonCorrelation method)
(mxnet.metric.Perplexity method)
(mxnet.name.NameManager method)
(mxnet.name.Prefix method)
get_alias_func() (in module mxnet.registry)
get_all_registered_operators() (in module mxnet.operator)
get_atol() (in module mxnet.test_utils)
get_backend_symbol() (mxnet.symbol.Symbol method)
get_batch_axis() (mxnet.io.DataDesc static method)
get_bz2_data() (in module mxnet.test_utils)
get_children() (mxnet.symbol.Symbol method)
get_cifar10() (in module mxnet.test_utils)
get_config() (mxnet.metric.CompositeEvalMetric method)
(mxnet.metric.CustomMetric method)
(mxnet.metric.EvalMetric method)
get_constant() (mxnet.gluon.ParameterDict method)
get_create_func() (in module mxnet.registry)
get_cuda_compute_capability() (in module mxnet.util)
get_etol() (in module mxnet.test_utils)
get_global() (mxnet.metric.CompositeEvalMetric method)
(mxnet.metric.EvalMetric method)
(mxnet.metric.Perplexity method)
get_global_name_value() (mxnet.metric.EvalMetric method)
get_im2rec_path() (in module mxnet.test_utils)
get_indexing_dispatch_code() (in module mxnet.ndarray)
get_input_grads() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonLossModule method)
(mxnet.module.SequentialModule method)
get_internals() (mxnet.symbol.Symbol method)
get_kernel() (mxnet.rtc.CudaModule method)
get_list() (mxnet.io.DataDesc static method)
get_logger() (in module mxnet.log)
get_metric() (mxnet.metric.CompositeEvalMetric method)
get_mnist() (in module mxnet.test_utils)
get_mnist_iterator() (in module mxnet.test_utils)
get_mnist_pkl() (in module mxnet.test_utils)
get_mnist_ubyte() (in module mxnet.test_utils)
get_mobilenet() (in module mxnet.gluon.model_zoo.vision)
get_mobilenet_v2() (in module mxnet.gluon.model_zoo.vision)
get_model() (in module mxnet.gluon.model_zoo.vision)
get_model_metadata() (in module mxnet.contrib.onnx)
get_name_value() (mxnet.metric.EvalMetric method)
get_operator_arguments() (in module mxnet.operator)
get_optimized_symbol() (mxnet.executor.Executor method)
get_oshape_of_gather_nd_op() (in module mxnet.ndarray)
get_outputs() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonLossModule method)
(mxnet.module.SequentialModule method)
get_params() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonModule method)
(mxnet.module.SequentialModule method)
get_register_func() (in module mxnet.registry)
get_registry() (in module mxnet.registry)
get_resnet() (in module mxnet.gluon.model_zoo.vision)
get_rtol() (in module mxnet.test_utils)
get_states() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.optimizer.Updater method)
get_symbol() (in module mxnet.autograd)
(mxnet.operator.NDArrayOp method)
(mxnet.operator.NumpyOp method)
(mxnet.operator.PythonOp method)
get_updater() (in module mxnet.optimizer)
get_use_fp16() (in module mxnet.contrib.tensorrt)
get_vgg() (in module mxnet.gluon.model_zoo.vision)
get_zip_data() (in module mxnet.test_utils)
getdata() (mxnet.contrib.io.DataLoaderIter method)
(mxnet.io.DataIter method)
(mxnet.io.MXDataIter method)
(mxnet.io.NDArrayIter method)
(mxnet.io.PrefetchingIter method)
(mxnet.io.ResizeIter method)
getindex() (mxnet.contrib.io.DataLoaderIter method)
(mxnet.io.DataIter method)
(mxnet.io.MXDataIter method)
(mxnet.io.PrefetchingIter method)
(mxnet.io.ResizeIter method)
getlabel() (mxnet.contrib.io.DataLoaderIter method)
(mxnet.io.DataIter method)
(mxnet.io.MXDataIter method)
(mxnet.io.NDArrayIter method)
(mxnet.io.PrefetchingIter method)
(mxnet.io.ResizeIter method)
getLogger() (in module mxnet.log)
getnnz() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
getpad() (mxnet.contrib.io.DataLoaderIter method)
(mxnet.io.DataIter method)
(mxnet.io.MXDataIter method)
(mxnet.io.NDArrayIter method)
(mxnet.io.PrefetchingIter method)
(mxnet.io.ResizeIter method)
GlobalAvgPool1D (class in mxnet.gluon.nn)
GlobalAvgPool2D (class in mxnet.gluon.nn)
GlobalAvgPool3D (class in mxnet.gluon.nn)
GlobalMaxPool1D (class in mxnet.gluon.nn)
GlobalMaxPool2D (class in mxnet.gluon.nn)
GlobalMaxPool3D (class in mxnet.gluon.nn)
gpu() (in module mxnet.context)
gpu_memory_info() (in module mxnet.context)
grad() (in module mxnet.autograd)
(in module mxnet.contrib.autograd)
(mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
(mxnet.ndarray.NDArray property)
grad_and_loss() (in module mxnet.contrib.autograd)
grad_arrays() (mxnet.executor_manager.DataParallelExecutorManager property)
grad_dict() (mxnet.executor.Executor property)
grad_req (mxnet.gluon.Parameter attribute)
gradient() (mxnet.symbol.Symbol method)
gradientmultiplier() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
GradientUpdateHandler (class in mxnet.gluon.contrib.estimator)
greater() (in module mxnet.ndarray)
greater_equal() (in module mxnet.ndarray)
GridGenerator() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Group() (in module mxnet.symbol)
group_adagrad_update() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
GroupNorm (class in mxnet.gluon.nn)
GroupNorm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
GRU (class in mxnet.gluon.rnn)
GRUCell (class in mxnet.gluon.rnn)
H
hard_reset() (mxnet.image.ImageIter method)
(mxnet.io.NDArrayIter method)
hard_sigmoid() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
has_tvm_ops() (in module mxnet.test_utils)
hawkesll() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
HingeLoss (class in mxnet.gluon.loss)
histogram() (in module mxnet.ndarray)
(in module mxnet.symbol)
HorizontalFlipAug (class in mxnet.image)
HuberLoss (class in mxnet.gluon.loss)
HueJitterAug (class in mxnet.image)
hybrid_forward() (mxnet.gluon.contrib.cnn.DeformableConvolution method)
(mxnet.gluon.contrib.nn.HybridConcurrent method)
(mxnet.gluon.contrib.nn.Identity method)
(mxnet.gluon.contrib.nn.PixelShuffle1D method)
(mxnet.gluon.contrib.nn.PixelShuffle2D method)
(mxnet.gluon.contrib.nn.PixelShuffle3D method)
(mxnet.gluon.contrib.nn.SyncBatchNorm method)
(mxnet.gluon.contrib.rnn.LSTMPCell method)
(mxnet.gluon.contrib.rnn.VariationalDropoutCell method)
(mxnet.gluon.data.vision.transforms.Cast method)
(mxnet.gluon.data.vision.transforms.CropResize method)
(mxnet.gluon.data.vision.transforms.Normalize method)
(mxnet.gluon.data.vision.transforms.RandomBrightness method)
(mxnet.gluon.data.vision.transforms.RandomColorJitter method)
(mxnet.gluon.data.vision.transforms.RandomContrast method)
(mxnet.gluon.data.vision.transforms.RandomFlipLeftRight method)
(mxnet.gluon.data.vision.transforms.RandomFlipTopBottom method)
(mxnet.gluon.data.vision.transforms.RandomHue method)
(mxnet.gluon.data.vision.transforms.RandomLighting method)
(mxnet.gluon.data.vision.transforms.RandomSaturation method)
(mxnet.gluon.data.vision.transforms.Resize method)
(mxnet.gluon.data.vision.transforms.ToTensor method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.loss.CosineEmbeddingLoss method)
(mxnet.gluon.loss.CTCLoss method)
(mxnet.gluon.loss.HingeLoss method)
(mxnet.gluon.loss.HuberLoss method)
(mxnet.gluon.loss.KLDivLoss method)
(mxnet.gluon.loss.L1Loss method)
(mxnet.gluon.loss.L2Loss method)
(mxnet.gluon.loss.LogisticLoss method)
(mxnet.gluon.loss.Loss method)
(mxnet.gluon.loss.PoissonNLLLoss method)
(mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method)
(mxnet.gluon.loss.SoftmaxCrossEntropyLoss method)
(mxnet.gluon.loss.SquaredHingeLoss method)
(mxnet.gluon.loss.TripletLoss method)
(mxnet.gluon.model_zoo.vision.AlexNet method)
(mxnet.gluon.model_zoo.vision.BasicBlockV1 method)
(mxnet.gluon.model_zoo.vision.BasicBlockV2 method)
(mxnet.gluon.model_zoo.vision.BottleneckV1 method)
(mxnet.gluon.model_zoo.vision.BottleneckV2 method)
(mxnet.gluon.model_zoo.vision.DenseNet method)
(mxnet.gluon.model_zoo.vision.Inception3 method)
(mxnet.gluon.model_zoo.vision.MobileNet method)
(mxnet.gluon.model_zoo.vision.MobileNetV2 method)
(mxnet.gluon.model_zoo.vision.ResNetV1 method)
(mxnet.gluon.model_zoo.vision.ResNetV2 method)
(mxnet.gluon.model_zoo.vision.SqueezeNet method)
(mxnet.gluon.model_zoo.vision.VGG method)
(mxnet.gluon.nn.Activation method)
(mxnet.gluon.nn.BatchNorm method)
(mxnet.gluon.nn.Dense method)
(mxnet.gluon.nn.Dropout method)
(mxnet.gluon.nn.ELU method)
(mxnet.gluon.nn.Embedding method)
(mxnet.gluon.nn.Flatten method)
(mxnet.gluon.nn.GELU method)
(mxnet.gluon.nn.GroupNorm method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.nn.HybridLambda method)
(mxnet.gluon.nn.HybridSequential method)
(mxnet.gluon.nn.InstanceNorm method)
(mxnet.gluon.nn.LayerNorm method)
(mxnet.gluon.nn.LeakyReLU method)
(mxnet.gluon.nn.PReLU method)
(mxnet.gluon.nn.ReflectionPad2D method)
(mxnet.gluon.nn.SELU method)
(mxnet.gluon.nn.Swish method)
(mxnet.gluon.nn.SymbolBlock method)
(mxnet.gluon.rnn.DropoutCell method)
(mxnet.gluon.rnn.GRUCell method)
(mxnet.gluon.rnn.HybridRecurrentCell method)
(mxnet.gluon.rnn.HybridSequentialRNNCell method)
(mxnet.gluon.rnn.LSTMCell method)
(mxnet.gluon.rnn.ModifierCell method)
(mxnet.gluon.rnn.ResidualCell method)
(mxnet.gluon.rnn.RNNCell method)
(mxnet.gluon.rnn.ZoneoutCell method)
(mxnet.gluon.SymbolBlock method)
HybridBlock (class in mxnet.gluon)
(class in mxnet.gluon.nn)
HybridConcurrent (class in mxnet.gluon.contrib.nn)
hybridize() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.nn.Sequential method)
(mxnet.gluon.SymbolBlock method)
HybridLambda (class in mxnet.gluon.nn)
HybridRecurrentCell (class in mxnet.gluon.rnn)
HybridSequential (class in mxnet.gluon.nn)
HybridSequentialRNNCell (class in mxnet.gluon.rnn)
hypot() (in module mxnet.symbol)
I
Identity (class in mxnet.gluon.contrib.nn)
identity() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
IdentityAttachKLSparseReg() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
ifft() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
ImageDetIter (class in mxnet.image)
ImageDetRecordIter() (in module mxnet.io)
ImageFolderDataset (class in mxnet.gluon.data.vision.datasets)
ImageIter (class in mxnet.image)
ImageRecordDataset (class in mxnet.gluon.data.vision.datasets)
ImageRecordInt8Iter() (in module mxnet.io)
ImageRecordIter() (in module mxnet.io)
ImageRecordIter_v1() (in module mxnet.io)
ImageRecordUInt8Iter() (in module mxnet.io)
ImageRecordUInt8Iter_v1() (in module mxnet.io)
imdecode() (in module mxnet.image)
(in module mxnet.ndarray)
(mxnet.image.ImageIter method)
import_model() (in module mxnet.contrib.onnx)
import_to_gluon() (in module mxnet.contrib.onnx)
imports() (mxnet.gluon.nn.SymbolBlock static method)
(mxnet.gluon.SymbolBlock static method)
imread() (in module mxnet.image)
imresize() (in module mxnet.image)
Inception3 (class in mxnet.gluon.model_zoo.vision)
inception_v3() (in module mxnet.gluon.model_zoo.vision)
increment() (mxnet.profiler.Counter method)
index_array() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
index_copy() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
indexing_key_expand_implicit_axes() (in module mxnet.ndarray)
indices() (mxnet.ndarray.sparse.CSRNDArray property)
(mxnet.ndarray.sparse.RowSparseNDArray property)
indptr() (mxnet.ndarray.sparse.CSRNDArray property)
infer_shape() (mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.SymbolBlock method)
(mxnet.operator.CustomOpProp method)
(mxnet.operator.PythonOp method)
(mxnet.symbol.Symbol method)
infer_shape_partial() (mxnet.symbol.Symbol method)
infer_storage_type() (mxnet.operator.CustomOpProp method)
infer_storage_type_backward() (mxnet.operator.CustomOpProp method)
infer_type() (mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.SymbolBlock method)
(mxnet.operator.CustomOpProp method)
(mxnet.symbol.Symbol method)
infer_type_partial() (mxnet.symbol.Symbol method)
init() (mxnet.kvstore.KVStore method)
init_optimizer() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonModule method)
(mxnet.module.SequentialModule method)
init_params() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonModule method)
(mxnet.module.SequentialModule method)
init_tensorrt_params() (in module mxnet.contrib.tensorrt)
InitDesc (class in mxnet.initializer)
initialize() (mxnet.gluon.Block method)
(mxnet.gluon.Constant method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.Parameter method)
(mxnet.gluon.ParameterDict method)
(mxnet.gluon.SymbolBlock method)
Initializer (class in mxnet.initializer)
install() (mxnet.monitor.Monitor method)
install_monitor() (mxnet.executor_manager.DataParallelExecutorManager method)
(mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonLossModule method)
(mxnet.module.SequentialModule method)
InstanceNorm (class in mxnet.gluon.nn)
InstanceNorm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
interleaved_matmul_encdec_qk() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
interleaved_matmul_encdec_valatt() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
interleaved_matmul_selfatt_qk() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
interleaved_matmul_selfatt_valatt() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
IntervalSampler (class in mxnet.gluon.contrib.data.sampler)
inverse() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
IRHeader (in module mxnet.recordio)
is_cd_run() (in module mxnet.test_utils)
is_np_array() (in module mxnet.image)
(in module mxnet.util)
is_np_shape() (in module mxnet.util)
is_op_runnable() (in module mxnet.test_utils)
is_recording() (in module mxnet.autograd)
is_training() (in module mxnet.autograd)
isfinite() (in module mxnet.ndarray.contrib)
isinf() (in module mxnet.ndarray.contrib)
isnan() (in module mxnet.ndarray.contrib)
items (mxnet.gluon.data.vision.datasets.ImageFolderDataset attribute)
iter_next() (mxnet.contrib.io.DataLoaderIter method)
(mxnet.io.DataIter method)
(mxnet.io.MXDataIter method)
(mxnet.io.NDArrayIter method)
(mxnet.io.PrefetchingIter method)
(mxnet.io.ResizeIter method)
iter_predict() (mxnet.module.BaseModule method)
K
khatri_rao() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
KLDivLoss (class in mxnet.gluon.loss)
KVStore (class in mxnet.kvstore)
KVStoreServer (class in mxnet.kvstore_server)
L
L1Loss (class in mxnet.gluon.loss)
L2Loss (class in mxnet.gluon.loss)
L2Normalization() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
label_names() (mxnet.module.Module property)
label_shapes() (mxnet.module.BaseModule property)
(mxnet.module.BucketingModule property)
(mxnet.module.Module property)
(mxnet.module.PythonModule property)
(mxnet.module.SequentialModule property)
LAMB (class in mxnet.optimizer)
lamb_update_phase1() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
lamb_update_phase2() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Lambda (class in mxnet.gluon.nn)
LARS (class in mxnet.optimizer)
launch() (mxnet.rtc.CudaKernel method)
LayerNorm (class in mxnet.gluon.nn)
LayerNorm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
LBSGD (class in mxnet.optimizer)
LeakyReLU (class in mxnet.gluon.nn)
LeakyReLU() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
lesser() (in module mxnet.ndarray)
lesser_equal() (in module mxnet.ndarray)
LibSVMIter() (in module mxnet.io)
LightingAug (class in mxnet.image)
linalg_det() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_extractdiag() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_extracttrian() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_gelqf() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_gemm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_gemm2() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_inverse() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_makediag() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_maketrian() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_potrf() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_potri() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_slogdet() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_sumlogdiag() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_syrk() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_trmm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
linalg_trsm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
LinearRegressionOutput() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
linspace() (in module mxnet.ndarray)
(in module mxnet.symbol)
list_arguments() (mxnet.operator.CustomOpProp method)
(mxnet.operator.PythonOp method)
(mxnet.symbol.Symbol method)
list_attr() (mxnet.symbol.Symbol method)
list_auxiliary_states() (mxnet.operator.CustomOpProp method)
(mxnet.symbol.Symbol method)
list_ctx() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
(mxnet.gluon.ParameterDict method)
list_data() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
list_gpus() (in module mxnet.test_utils)
list_grad() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
list_inputs() (mxnet.symbol.Symbol method)
list_outputs() (mxnet.operator.CustomOpProp method)
(mxnet.operator.PythonOp method)
(mxnet.symbol.Symbol method)
list_row_sparse_data() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
Load (class in mxnet.initializer)
load() (in module mxnet.ndarray)
(in module mxnet.ndarray.utils)
(in module mxnet.symbol)
(mxnet.gluon.ParameterDict method)
(mxnet.model.FeedForward static method)
(mxnet.module.BucketingModule static method)
(mxnet.module.Module static method)
load_checkpoint() (in module mxnet.model)
load_data_batch() (mxnet.executor_manager.DataParallelExecutorGroup method)
(mxnet.executor_manager.DataParallelExecutorManager method)
load_dict() (mxnet.gluon.ParameterDict method)
(mxnet.module.BucketingModule static method)
load_frombuffer() (in module mxnet.ndarray)
(in module mxnet.ndarray.utils)
load_json() (in module mxnet.symbol)
load_optimizer_states() (mxnet.kvstore.KVStore method)
(mxnet.module.Module method)
load_parameters() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
load_params() (in module mxnet.model)
(mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
(mxnet.module.BaseModule method)
load_states() (mxnet.gluon.Trainer method)
log() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
log10() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
log1p() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
log2() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
log_softmax() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
log_train_metric() (in module mxnet.callback)
logger (mxnet.gluon.contrib.estimator.Estimator attribute)
LoggingHandler (class in mxnet.gluon.contrib.estimator)
logical_and() (in module mxnet.ndarray)
logical_not() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
logical_or() (in module mxnet.ndarray)
logical_xor() (in module mxnet.ndarray)
LogisticLoss (class in mxnet.gluon.loss)
LogisticRegressionOutput() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
LogMetricsCallback (class in mxnet.contrib.tensorboard)
LogValidationMetricsCallback (class in mxnet.callback)
Loss (class in mxnet.gluon.loss)
(class in mxnet.metric)
lr_mult (mxnet.gluon.Parameter attribute)
LRN() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
LRScheduler (class in mxnet.lr_scheduler)
LSTM (class in mxnet.gluon.rnn)
LSTMBias (class in mxnet.initializer)
LSTMCell (class in mxnet.gluon.rnn)
LSTMPCell (class in mxnet.gluon.contrib.rnn)
M
MAE (class in mxnet.metric)
MAERegressionOutput() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
make_loss() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
makediag() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
makedirs() (in module mxnet.util)
MakeLoss() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
maketrian() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
mark() (mxnet.profiler.Marker method)
mark_variables() (in module mxnet.autograd)
(in module mxnet.contrib.autograd)
Marker (class in mxnet.profiler)
max() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
max_axis() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
maximum() (in module mxnet.ndarray)
(in module mxnet.symbol)
MaxPool1D (class in mxnet.gluon.nn)
MaxPool2D (class in mxnet.gluon.nn)
MaxPool3D (class in mxnet.gluon.nn)
MCC (class in mxnet.metric)
mean() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
mean_check() (in module mxnet.test_utils)
MetricHandler (class in mxnet.gluon.contrib.estimator)
min() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
min_axis() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
minimum() (in module mxnet.ndarray)
(in module mxnet.symbol)
Mixed (class in mxnet.initializer)
MNIST (class in mxnet.gluon.data.vision.datasets)
MNISTIter() (in module mxnet.io)
MobileNet (class in mxnet.gluon.model_zoo.vision)
mobilenet0_25() (in module mxnet.gluon.model_zoo.vision)
mobilenet0_5() (in module mxnet.gluon.model_zoo.vision)
mobilenet0_75() (in module mxnet.gluon.model_zoo.vision)
mobilenet1_0() (in module mxnet.gluon.model_zoo.vision)
mobilenet_v2_0_25() (in module mxnet.gluon.model_zoo.vision)
mobilenet_v2_0_5() (in module mxnet.gluon.model_zoo.vision)
mobilenet_v2_0_75() (in module mxnet.gluon.model_zoo.vision)
mobilenet_v2_1_0() (in module mxnet.gluon.model_zoo.vision)
MobileNetV2 (class in mxnet.gluon.model_zoo.vision)
ModifierCell (class in mxnet.gluon.rnn)
Module (class in mxnet.module)
module_checkpoint() (in module mxnet.callback)
modulo() (in module mxnet.ndarray)
moments() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Monitor (class in mxnet.monitor)
moveaxis() (in module mxnet.ndarray)
mp_lamb_update_phase1() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
mp_lamb_update_phase2() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
mp_nag_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
mp_sgd_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
mp_sgd_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
MSE (class in mxnet.metric)
MSRAPrelu (class in mxnet.initializer)
multi_all_finite() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
multi_lars() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
multi_mp_sgd_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
multi_mp_sgd_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
multi_sgd_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
multi_sgd_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
multi_sum_sq() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
MultiBoxDetection() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
MultiBoxPrior() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
MultiBoxTarget() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
MultiFactorScheduler (class in mxnet.lr_scheduler)
multinomial() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
multiply() (in module mxnet.ndarray)
(in module mxnet.ndarray.sparse)
MultiProposal() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
MXDataIter (class in mxnet.io)
MXIndexedRecordIO (class in mxnet.recordio)
mxnet (module)
mxnet.attribute (module)
mxnet.autograd (module)
mxnet.base (module)
mxnet.callback (module)
mxnet.context (module)
mxnet.contrib (module)
mxnet.contrib.autograd (module)
mxnet.contrib.io (module)
mxnet.contrib.ndarray (module)
mxnet.contrib.onnx (module)
mxnet.contrib.quantization (module)
mxnet.contrib.symbol (module)
mxnet.contrib.tensorboard (module)
mxnet.contrib.tensorrt (module)
mxnet.contrib.text (module)
mxnet.engine (module)
mxnet.executor (module)
mxnet.executor_manager (module)
mxnet.gluon (module)
mxnet.gluon.contrib (module)
mxnet.gluon.contrib.cnn (module)
mxnet.gluon.contrib.data.sampler (module)
mxnet.gluon.contrib.data.text (module)
mxnet.gluon.contrib.estimator (module)
mxnet.gluon.contrib.nn (module)
mxnet.gluon.contrib.rnn (module)
mxnet.gluon.data (module)
,
[1]
mxnet.gluon.data.vision (module)
,
[1]
mxnet.gluon.data.vision.datasets (module)
mxnet.gluon.data.vision.transforms (module)
mxnet.gluon.loss (module)
mxnet.gluon.model_zoo.vision (module)
mxnet.gluon.nn (module)
mxnet.gluon.rnn (module)
mxnet.gluon.utils (module)
mxnet.image (module)
mxnet.initializer (module)
mxnet.io (module)
mxnet.kvstore (module)
mxnet.kvstore_server (module)
mxnet.libinfo (module)
mxnet.log (module)
mxnet.lr_scheduler (module)
mxnet.metric (module)
mxnet.model (module)
mxnet.module (module)
mxnet.monitor (module)
mxnet.name (module)
mxnet.ndarray (module)
mxnet.ndarray.contrib (module)
mxnet.ndarray.image (module)
mxnet.ndarray.linalg (module)
mxnet.ndarray.op (module)
mxnet.ndarray.random (module)
mxnet.ndarray.register (module)
mxnet.ndarray.sparse (module)
mxnet.ndarray.utils (module)
mxnet.notebook (module)
mxnet.operator (module)
mxnet.optimizer (module)
mxnet.profiler (module)
mxnet.random (module)
mxnet.recordio (module)
mxnet.registry (module)
mxnet.rtc (module)
mxnet.symbol (module)
mxnet.symbol.contrib (module)
mxnet.symbol.image (module)
mxnet.symbol.linalg (module)
mxnet.symbol.op (module)
mxnet.symbol.random (module)
mxnet.symbol.register (module)
mxnet.symbol.sparse (module)
mxnet.test_utils (module)
mxnet.torch (module)
mxnet.util (module)
mxnet.visualization (module)
MXNetError
MXRecordIO (class in mxnet.recordio)
N
Nadam (class in mxnet.optimizer)
NAG (class in mxnet.optimizer)
nag_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
name() (mxnet.gluon.Block property)
(mxnet.gluon.HybridBlock property)
(mxnet.gluon.nn.Block property)
(mxnet.gluon.SymbolBlock property)
(mxnet.symbol.Symbol property)
name_scope() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
NameManager (class in mxnet.name)
names (mxnet.operator.OperatorArguments attribute)
nanprod() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
nansum() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
narg (mxnet.operator.OperatorArguments attribute)
NDabs() (in module mxnet.optimizer)
NDArray (class in mxnet.ndarray)
NDArrayIter (class in mxnet.io)
NDArrayOp (class in mxnet.operator)
ndim() (mxnet.ndarray.NDArray property)
need_top_grad() (mxnet.operator.PythonOp method)
negative() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
negative_binomial() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
negative_binomial_like() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
NegativeLogLikelihood (class in mxnet.metric)
new_counter() (mxnet.profiler.Domain method)
new_frame() (mxnet.profiler.Domain method)
new_marker() (mxnet.profiler.Domain method)
new_task() (mxnet.profiler.Domain method)
next() (mxnet.image.ImageDetIter method)
(mxnet.image.ImageIter method)
(mxnet.io.DataIter method)
(mxnet.io.MXDataIter method)
(mxnet.io.NDArrayIter method)
(mxnet.io.PrefetchingIter method)
(mxnet.test_utils.DummyIter method)
next_sample() (mxnet.image.ImageIter method)
norm() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
Normal (class in mxnet.initializer)
normal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.random)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.random)
normal_like() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
Normalize (class in mxnet.gluon.data.vision.transforms)
normalize() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
not_equal() (in module mxnet.ndarray)
np() (in module mxnet.metric)
np_array() (in module mxnet.util)
np_reduce() (in module mxnet.test_utils)
np_shape() (in module mxnet.util)
np_ufunc_legal_option() (in module mxnet.util)
num_gpus() (in module mxnet.context)
num_workers() (mxnet.kvstore.KVStore property)
numeric_grad() (in module mxnet.test_utils)
NumpyOp (class in mxnet.operator)
O
One (class in mxnet.initializer)
one_hot() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
onehot_encode() (in module mxnet.ndarray)
ones() (in module mxnet.ndarray)
(in module mxnet.symbol)
ones_like() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
open() (mxnet.recordio.MXIndexedRecordIO method)
(mxnet.recordio.MXRecordIO method)
OperatorArguments (class in mxnet.operator)
optimize_for() (mxnet.symbol.Symbol method)
Optimizer (class in mxnet.optimizer)
Orthogonal (class in mxnet.initializer)
output_dict() (mxnet.executor.Executor property)
output_names() (mxnet.module.BaseModule property)
(mxnet.module.BucketingModule property)
(mxnet.module.Module property)
(mxnet.module.PythonModule property)
(mxnet.module.SequentialModule property)
output_shapes() (mxnet.module.BaseModule property)
(mxnet.module.BucketingModule property)
(mxnet.module.Module property)
(mxnet.module.PythonModule property)
(mxnet.module.SequentialModule property)
P
pack() (in module mxnet.recordio)
pack_img() (in module mxnet.recordio)
Pad() (in module mxnet.ndarray)
pad() (in module mxnet.ndarray)
Pad() (in module mxnet.ndarray.op)
pad() (in module mxnet.ndarray.op)
Pad() (in module mxnet.symbol)
pad() (in module mxnet.symbol)
Pad() (in module mxnet.symbol.op)
pad() (in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
param_arrays() (mxnet.executor_manager.DataParallelExecutorManager property)
Parameter (class in mxnet.gluon)
ParameterDict (class in mxnet.gluon)
params() (mxnet.gluon.Block property)
(mxnet.gluon.HybridBlock property)
(mxnet.gluon.nn.Block property)
(mxnet.gluon.rnn.ModifierCell property)
(mxnet.gluon.SymbolBlock property)
pause() (in module mxnet.autograd)
(in module mxnet.profiler)
PCC (class in mxnet.metric)
PearsonCorrelation (class in mxnet.metric)
Perplexity (class in mxnet.metric)
pick() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
PixelShuffle1D (class in mxnet.gluon.contrib.nn)
PixelShuffle2D (class in mxnet.gluon.contrib.nn)
PixelShuffle3D (class in mxnet.gluon.contrib.nn)
plot_network() (in module mxnet.visualization)
poisson() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
poisson_like() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
PoissonNLLLoss (class in mxnet.gluon.loss)
PolyScheduler (class in mxnet.lr_scheduler)
Pooling() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Pooling_v1() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
postprocess_data() (mxnet.image.ImageIter method)
potrf() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
potri() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
pow() (in module mxnet.symbol)
power() (in module mxnet.ndarray)
(in module mxnet.symbol)
predict() (mxnet.model.FeedForward method)
(mxnet.module.BaseModule method)
predict_mode() (in module mxnet.autograd)
PrefetchingIter (class in mxnet.io)
Prefix (class in mxnet.name)
prefix() (mxnet.gluon.Block property)
(mxnet.gluon.HybridBlock property)
(mxnet.gluon.nn.Block property)
(mxnet.gluon.ParameterDict property)
(mxnet.gluon.SymbolBlock property)
preloaded_multi_mp_sgd_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
preloaded_multi_mp_sgd_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
preloaded_multi_sgd_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
preloaded_multi_sgd_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
PReLU (class in mxnet.gluon.nn)
prepare() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
print_summary() (in module mxnet.visualization)
prod() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
profiler_set_config() (in module mxnet.profiler)
profiler_set_state() (in module mxnet.profiler)
ProgressBar (class in mxnet.callback)
Proposal() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
provide_data() (mxnet.io.NDArrayIter property)
provide_label() (mxnet.io.NDArrayIter property)
PSROIPooling() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
pull() (mxnet.kvstore.KVStore method)
push() (mxnet.kvstore.KVStore method)
pushpull() (mxnet.kvstore.KVStore method)
PythonLossModule (class in mxnet.module)
PythonModule (class in mxnet.module)
PythonOp (class in mxnet.operator)
Q
quadratic() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantize() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantize_graph() (in module mxnet.contrib.quantization)
quantize_model() (in module mxnet.contrib.quantization)
quantize_model_mkldnn() (in module mxnet.contrib.quantization)
quantize_net() (in module mxnet.contrib.quantization)
quantize_v2() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_act() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_batch_norm() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_concat() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_conv() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_elemwise_add() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_flatten() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_fully_connected() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
quantized_pooling() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
R
radians() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
rand_ndarray() (in module mxnet.test_utils)
rand_sparse_ndarray() (in module mxnet.test_utils)
rand_zipfian() (in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
randint() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
randn() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
random_arrays() (in module mxnet.test_utils)
random_brightness() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_color_jitter() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_contrast() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_crop() (in module mxnet.image)
random_exponential() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_flip_left_right() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_flip_top_bottom() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_gamma() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_generalized_negative_binomial() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_hue() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_lighting() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_negative_binomial() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_normal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_dirichlet() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_exponential() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_gamma() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_generalized_negative_binomial() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_negative_binomial() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_normal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_poisson() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_pdf_uniform() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_poisson() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_randint() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
random_sample() (in module mxnet.test_utils)
random_saturation() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
random_size_crop() (in module mxnet.image)
random_uniform() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
RandomBrightness (class in mxnet.gluon.data.vision.transforms)
RandomColorJitter (class in mxnet.gluon.data.vision.transforms)
RandomContrast (class in mxnet.gluon.data.vision.transforms)
RandomCropAug (class in mxnet.image)
RandomFlipLeftRight (class in mxnet.gluon.data.vision.transforms)
RandomFlipTopBottom (class in mxnet.gluon.data.vision.transforms)
RandomGrayAug (class in mxnet.image)
RandomHue (class in mxnet.gluon.data.vision.transforms)
RandomLighting (class in mxnet.gluon.data.vision.transforms)
RandomOrderAug (class in mxnet.image)
RandomResizedCrop (class in mxnet.gluon.data.vision.transforms)
RandomSampler (class in mxnet.gluon.data)
RandomSaturation (class in mxnet.gluon.data.vision.transforms)
RandomSizedCropAug (class in mxnet.image)
rank() (mxnet.kvstore.KVStore property)
ravel_multi_index() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
rcbrt() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
read() (mxnet.recordio.MXRecordIO method)
read_idx() (mxnet.recordio.MXIndexedRecordIO method)
read_image() (mxnet.image.ImageIter method)
reciprocal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
record() (in module mxnet.autograd)
RecordFileDataset (class in mxnet.gluon.data)
RecurrentCell (class in mxnet.gluon.rnn)
ReflectionPad2D (class in mxnet.gluon.nn)
register() (in module mxnet.initializer)
(in module mxnet.operator)
(in module mxnet.optimizer)
(mxnet.optimizer.Optimizer static method)
register_child() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.SymbolBlock method)
register_forward_hook() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
register_forward_pre_hook() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
register_op_hook() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.nn.HybridBlock method)
(mxnet.gluon.SymbolBlock method)
relu() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
repeat() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
replace_file() (in module mxnet.gluon.utils)
requantize() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
reset() (mxnet.contrib.io.DataLoaderIter method)
(mxnet.gluon.contrib.rnn.VariationalDropoutCell method)
(mxnet.gluon.rnn.RecurrentCell method)
(mxnet.gluon.rnn.ZoneoutCell method)
(mxnet.image.ImageIter method)
(mxnet.io.DataIter method)
(mxnet.io.MXDataIter method)
(mxnet.io.NDArrayIter method)
(mxnet.io.PrefetchingIter method)
(mxnet.io.ResizeIter method)
(mxnet.metric.CompositeEvalMetric method)
(mxnet.metric.EvalMetric method)
(mxnet.metric.F1 method)
(mxnet.metric.MCC method)
(mxnet.metric.PCC method)
(mxnet.metric.PearsonCorrelation method)
(mxnet.recordio.MXRecordIO method)
reset_arrays() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
reset_ctx() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
(mxnet.gluon.ParameterDict method)
reset_local() (mxnet.metric.CompositeEvalMetric method)
(mxnet.metric.EvalMetric method)
(mxnet.metric.F1 method)
(mxnet.metric.MCC method)
(mxnet.metric.PCC method)
reset_np() (in module mxnet.util)
Reshape() (in module mxnet.ndarray)
reshape() (in module mxnet.ndarray)
Reshape() (in module mxnet.ndarray.op)
reshape() (in module mxnet.ndarray.op)
Reshape() (in module mxnet.symbol)
reshape() (in module mxnet.symbol)
Reshape() (in module mxnet.symbol.op)
reshape() (in module mxnet.symbol.op)
(mxnet.executor.Executor method)
(mxnet.image.ImageDetIter method)
(mxnet.module.Module method)
(mxnet.ndarray.NDArray method)
(mxnet.ndarray.sparse.BaseSparseNDArray method)
(mxnet.symbol.Symbol method)
reshape_like() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
ResidualCell (class in mxnet.gluon.rnn)
Resize (class in mxnet.gluon.data.vision.transforms)
resize() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
resize_short() (in module mxnet.image)
ResizeAug (class in mxnet.image)
ResizeIter (class in mxnet.io)
resnet101_v1() (in module mxnet.gluon.model_zoo.vision)
resnet101_v2() (in module mxnet.gluon.model_zoo.vision)
resnet152_v1() (in module mxnet.gluon.model_zoo.vision)
resnet152_v2() (in module mxnet.gluon.model_zoo.vision)
resnet18_v1() (in module mxnet.gluon.model_zoo.vision)
resnet18_v2() (in module mxnet.gluon.model_zoo.vision)
resnet34_v1() (in module mxnet.gluon.model_zoo.vision)
resnet34_v2() (in module mxnet.gluon.model_zoo.vision)
resnet50_v1() (in module mxnet.gluon.model_zoo.vision)
resnet50_v2() (in module mxnet.gluon.model_zoo.vision)
ResNetV1 (class in mxnet.gluon.model_zoo.vision)
ResNetV2 (class in mxnet.gluon.model_zoo.vision)
resume() (in module mxnet.profiler)
retain() (in module mxnet.ndarray.sparse)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.sparse.RowSparseNDArray method)
retry() (in module mxnet.test_utils)
reverse() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
rint() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
RMSE (class in mxnet.metric)
RMSProp (class in mxnet.optimizer)
rmsprop_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
rmspropalex_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
RNN (class in mxnet.gluon.rnn)
RNN() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
RNNCell (class in mxnet.gluon.rnn)
ROIAlign() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
ROIPooling() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
round() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
round_ste() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
row_sparse_array() (in module mxnet.ndarray.sparse)
row_sparse_data() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
row_sparse_pull() (mxnet.kvstore.KVStore method)
RowSparseNDArray (class in mxnet.ndarray.sparse)
RROIAlign() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
rsqrt() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
run() (mxnet.kvstore_server.KVStoreServer method)
S
same() (in module mxnet.test_utils)
same_array() (in module mxnet.test_utils)
same_symbol_structure() (in module mxnet.test_utils)
sample() (mxnet.gluon.data.Dataset method)
sample_exponential() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sample_gamma() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sample_generalized_negative_binomial() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sample_multinomial() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sample_negative_binomial() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sample_normal() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sample_poisson() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sample_uniform() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Sampler (class in mxnet.gluon.data)
SaturationJitterAug (class in mxnet.image)
save() (in module mxnet.ndarray)
(in module mxnet.ndarray.utils)
(mxnet.gluon.ParameterDict method)
(mxnet.model.FeedForward method)
(mxnet.symbol.Symbol method)
save_checkpoint() (in module mxnet.model)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
save_optimizer_states() (mxnet.kvstore.KVStore method)
(mxnet.module.Module method)
save_parameters() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
save_params() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
(mxnet.module.BaseModule method)
save_states() (mxnet.gluon.Trainer method)
scale_down() (in module mxnet.image)
scatter_nd() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
score() (mxnet.model.FeedForward method)
(mxnet.module.BaseModule method)
seed() (in module mxnet.random)
seek() (mxnet.recordio.MXIndexedRecordIO method)
SELU (class in mxnet.gluon.nn)
SequenceLast() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
SequenceMask() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
SequenceReverse() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Sequential (class in mxnet.gluon.nn)
SequentialAug (class in mxnet.image)
SequentialModule (class in mxnet.module)
SequentialRNNCell (class in mxnet.gluon.rnn)
SequentialSampler (class in mxnet.gluon.data)
set_bulk_size() (in module mxnet.engine)
set_config() (in module mxnet.profiler)
set_data() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
set_default_context() (in module mxnet.test_utils)
set_env_var() (in module mxnet.test_utils)
set_gradient_compression() (mxnet.kvstore.KVStore method)
set_is_training() (in module mxnet.contrib.autograd)
set_learning_rate() (mxnet.gluon.Trainer method)
(mxnet.optimizer.Optimizer method)
set_lr_mult() (mxnet.optimizer.Optimizer method)
set_lr_scale() (mxnet.optimizer.Optimizer method)
set_module() (in module mxnet.util)
set_monitor_callback() (mxnet.executor.Executor method)
set_np() (in module mxnet.util)
set_np_shape() (in module mxnet.util)
set_optimizer() (mxnet.kvstore.KVStore method)
set_params() (mxnet.executor_manager.DataParallelExecutorManager method)
(mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
set_recording() (in module mxnet.autograd)
set_state() (in module mxnet.profiler)
set_states() (mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.optimizer.Updater method)
set_training() (in module mxnet.autograd)
set_use_fp16() (in module mxnet.contrib.tensorrt)
set_value() (mxnet.profiler.Counter method)
set_verbosity() (mxnet.initializer.Initializer method)
set_wd_mult() (mxnet.optimizer.LARS method)
(mxnet.optimizer.Optimizer method)
setattr() (mxnet.gluon.ParameterDict method)
SGD (class in mxnet.optimizer)
sgd_mom_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
sgd_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
SGLD (class in mxnet.optimizer)
shape() (mxnet.gluon.Constant property)
(mxnet.gluon.Parameter property)
(mxnet.ndarray.NDArray property)
shape_array() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
shard() (mxnet.gluon.data.Dataset method)
shuffle() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.random)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.random)
shuffle_csr_column_indices() (in module mxnet.test_utils)
sigmoid() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
SigmoidBCELoss (in module mxnet.gluon.loss)
SigmoidBinaryCrossEntropyLoss (class in mxnet.gluon.loss)
sign() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
sign_ste() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
signsgd_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Signum (class in mxnet.optimizer)
signum_update() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
simple_bind() (mxnet.symbol.Symbol method)
simple_forward() (in module mxnet.test_utils)
SimpleDataset (class in mxnet.gluon.data)
sin() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
sinh() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
size() (mxnet.ndarray.NDArray property)
(mxnet.ndarray.sparse.BaseSparseNDArray property)
size_array() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
slice() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
slice_assign() (mxnet.ndarray.NDArray method)
slice_assign_scalar() (mxnet.ndarray.NDArray method)
slice_axis() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
slice_like() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
SliceChannel() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
slogdet() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
smooth_l1() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Softmax() (in module mxnet.ndarray)
softmax() (in module mxnet.ndarray)
Softmax() (in module mxnet.ndarray.op)
softmax() (in module mxnet.ndarray.op)
Softmax() (in module mxnet.symbol)
softmax() (in module mxnet.symbol)
Softmax() (in module mxnet.symbol.op)
softmax() (in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
softmax_cross_entropy() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
SoftmaxActivation() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
SoftmaxCELoss (in module mxnet.gluon.loss)
SoftmaxCrossEntropyLoss (class in mxnet.gluon.loss)
SoftmaxOutput() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
softmin() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
softsign() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sort() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
space_to_depth() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
SparseEmbedding (class in mxnet.gluon.contrib.nn)
SparseEmbedding() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
SpatialTransformer() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Speedometer (class in mxnet.callback)
split() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
split_and_load() (in module mxnet.gluon.utils)
split_data() (in module mxnet.gluon.utils)
split_v2() (in module mxnet.ndarray)
(in module mxnet.symbol)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
sqrt() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
square() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
SquaredHingeLoss (class in mxnet.gluon.loss)
squeeze() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
SqueezeNet (class in mxnet.gluon.model_zoo.vision)
squeezenet1_0() (in module mxnet.gluon.model_zoo.vision)
squeezenet1_1() (in module mxnet.gluon.model_zoo.vision)
stack() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
start() (mxnet.profiler.Event method)
(mxnet.profiler.Frame method)
(mxnet.profiler.Task method)
state_info() (mxnet.gluon.contrib.rnn.LSTMPCell method)
(mxnet.gluon.rnn.BidirectionalCell method)
(mxnet.gluon.rnn.DropoutCell method)
(mxnet.gluon.rnn.GRUCell method)
(mxnet.gluon.rnn.HybridSequentialRNNCell method)
(mxnet.gluon.rnn.LSTMCell method)
(mxnet.gluon.rnn.ModifierCell method)
(mxnet.gluon.rnn.RecurrentCell method)
(mxnet.gluon.rnn.RNNCell method)
(mxnet.gluon.rnn.SequentialRNNCell method)
step() (mxnet.gluon.Trainer method)
stop() (mxnet.profiler.Event method)
(mxnet.profiler.Frame method)
(mxnet.profiler.Task method)
stop_gradient() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
StoppingHandler (class in mxnet.gluon.contrib.estimator)
stype() (mxnet.ndarray.NDArray property)
subtract() (in module mxnet.ndarray)
(in module mxnet.ndarray.sparse)
sum() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
sum_axis() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
sumlogdiag() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
summary() (mxnet.gluon.Block method)
(mxnet.gluon.HybridBlock method)
(mxnet.gluon.nn.Block method)
(mxnet.gluon.SymbolBlock method)
SVMOutput() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
swapaxes() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
SwapAxis() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
Swish (class in mxnet.gluon.nn)
switch_bucket() (mxnet.module.BucketingModule method)
syevd() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
Symbol (class in mxnet.symbol)
symbol() (mxnet.module.BaseModule property)
(mxnet.module.BucketingModule property)
SymbolBlock (class in mxnet.gluon)
(class in mxnet.gluon.nn)
sync_label_shape() (mxnet.image.ImageDetIter method)
sync_state_context() (mxnet.optimizer.Updater method)
SyncBatchNorm (class in mxnet.gluon.contrib.nn)
SyncBatchNorm() (in module mxnet.contrib.ndarray)
(in module mxnet.contrib.symbol)
(in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
synsets (mxnet.gluon.data.vision.datasets.ImageFolderDataset attribute)
syrk() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
T
T() (mxnet.ndarray.NDArray property)
take() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.gluon.data.Dataset method)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
tan() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
tanh() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
Task (class in mxnet.profiler)
tell() (mxnet.recordio.MXIndexedRecordIO method)
Test (class in mxnet.optimizer)
test_section() (in module mxnet.contrib.autograd)
tic() (mxnet.monitor.Monitor method)
tile() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
to_dlpack_for_read() (in module mxnet.ndarray)
(mxnet.ndarray.NDArray method)
to_dlpack_for_write() (in module mxnet.ndarray)
(mxnet.ndarray.NDArray method)
to_tensor() (in module mxnet.ndarray.image)
(in module mxnet.symbol.image)
toc() (mxnet.monitor.Monitor method)
toc_print() (mxnet.monitor.Monitor method)
tojson() (mxnet.symbol.Symbol method)
topk() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
TopKAccuracy (class in mxnet.metric)
Torch (class in mxnet.metric)
tostype() (mxnet.ndarray.NDArray method)
(mxnet.ndarray.sparse.CSRNDArray method)
(mxnet.ndarray.sparse.RowSparseNDArray method)
ToTensor (class in mxnet.gluon.data.vision.transforms)
train_mode() (in module mxnet.autograd)
train_section() (in module mxnet.contrib.autograd)
Trainer (class in mxnet.gluon)
TrainingStateScope (class in mxnet.contrib.autograd)
transform() (mxnet.gluon.data.Dataset method)
transform_first() (mxnet.gluon.data.Dataset method)
transpose() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
TripletLoss (class in mxnet.gluon.loss)
trmm() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
trsm() (in module mxnet.ndarray.linalg)
(in module mxnet.symbol.linalg)
true_divide() (in module mxnet.ndarray)
trunc() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
type() (mxnet.kvstore.KVStore property)
types (mxnet.operator.OperatorArguments attribute)
U
Uniform (class in mxnet.initializer)
uniform() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.random)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.random)
uniform_like() (in module mxnet.ndarray.random)
(in module mxnet.symbol.random)
unpack() (in module mxnet.recordio)
unpack_img() (in module mxnet.recordio)
unravel_index() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
unroll() (mxnet.gluon.contrib.rnn.VariationalDropoutCell method)
(mxnet.gluon.rnn.BidirectionalCell method)
(mxnet.gluon.rnn.DropoutCell method)
(mxnet.gluon.rnn.HybridSequentialRNNCell method)
(mxnet.gluon.rnn.RecurrentCell method)
(mxnet.gluon.rnn.ResidualCell method)
(mxnet.gluon.rnn.SequentialRNNCell method)
update() (mxnet.gluon.ParameterDict method)
(mxnet.gluon.Trainer method)
(mxnet.metric.Accuracy method)
(mxnet.metric.CompositeEvalMetric method)
(mxnet.metric.CrossEntropy method)
(mxnet.metric.CustomMetric method)
(mxnet.metric.EvalMetric method)
(mxnet.metric.F1 method)
(mxnet.metric.Loss method)
(mxnet.metric.MAE method)
(mxnet.metric.MCC method)
(mxnet.metric.MSE method)
(mxnet.metric.NegativeLogLikelihood method)
(mxnet.metric.PCC method)
(mxnet.metric.PearsonCorrelation method)
(mxnet.metric.Perplexity method)
(mxnet.metric.RMSE method)
(mxnet.metric.TopKAccuracy method)
(mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonModule method)
(mxnet.module.SequentialModule method)
(mxnet.optimizer.AdaDelta method)
(mxnet.optimizer.AdaGrad method)
(mxnet.optimizer.Adam method)
(mxnet.optimizer.Adamax method)
(mxnet.optimizer.DCASGD method)
(mxnet.optimizer.FTML method)
(mxnet.optimizer.Ftrl method)
(mxnet.optimizer.LAMB method)
(mxnet.optimizer.LARS method)
(mxnet.optimizer.LBSGD method)
(mxnet.optimizer.Nadam method)
(mxnet.optimizer.NAG method)
(mxnet.optimizer.Optimizer method)
(mxnet.optimizer.RMSProp method)
(mxnet.optimizer.SGD method)
(mxnet.optimizer.SGLD method)
(mxnet.optimizer.Signum method)
(mxnet.optimizer.Test method)
update_dict() (mxnet.metric.CompositeEvalMetric method)
(mxnet.metric.EvalMetric method)
update_metric() (mxnet.executor_manager.DataParallelExecutorGroup method)
(mxnet.executor_manager.DataParallelExecutorManager method)
(mxnet.module.BaseModule method)
(mxnet.module.BucketingModule method)
(mxnet.module.Module method)
(mxnet.module.PythonModule method)
(mxnet.module.SequentialModule method)
update_multi_precision() (mxnet.optimizer.LAMB method)
(mxnet.optimizer.LARS method)
(mxnet.optimizer.NAG method)
(mxnet.optimizer.Optimizer method)
(mxnet.optimizer.SGD method)
Updater (class in mxnet.optimizer)
UpSampling() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
use_np() (in module mxnet.util)
use_np_array() (in module mxnet.util)
use_np_shape() (in module mxnet.util)
V
ValidationHandler (class in mxnet.gluon.contrib.estimator)
var() (in module mxnet.symbol)
(mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
var_check() (in module mxnet.test_utils)
Variable() (in module mxnet.symbol)
VariationalDropoutCell (class in mxnet.gluon.contrib.rnn)
verify_generator() (in module mxnet.test_utils)
VGG (class in mxnet.gluon.model_zoo.vision)
vgg11() (in module mxnet.gluon.model_zoo.vision)
vgg11_bn() (in module mxnet.gluon.model_zoo.vision)
vgg13() (in module mxnet.gluon.model_zoo.vision)
vgg13_bn() (in module mxnet.gluon.model_zoo.vision)
vgg16() (in module mxnet.gluon.model_zoo.vision)
vgg16_bn() (in module mxnet.gluon.model_zoo.vision)
vgg19() (in module mxnet.gluon.model_zoo.vision)
vgg19_bn() (in module mxnet.gluon.model_zoo.vision)
W
wait_to_read() (mxnet.ndarray.NDArray method)
waitall() (in module mxnet.ndarray)
wd_mult (mxnet.gluon.Parameter attribute)
where() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
while_loop() (in module mxnet.ndarray.contrib)
(in module mxnet.symbol.contrib)
WikiText103 (class in mxnet.gluon.contrib.data.text)
WikiText2 (class in mxnet.gluon.contrib.data.text)
wrap_np_binary_func() (in module mxnet.util)
wrap_np_unary_func() (in module mxnet.util)
wraps_safely() (in module mxnet.util)
write() (mxnet.recordio.MXRecordIO method)
write_idx() (mxnet.recordio.MXIndexedRecordIO method)
X
Xavier (class in mxnet.initializer)
Z
Zero (class in mxnet.initializer)
zero_grad() (mxnet.gluon.Constant method)
(mxnet.gluon.Parameter method)
(mxnet.gluon.ParameterDict method)
zeros() (in module mxnet.ndarray)
,
[1]
(in module mxnet.ndarray.utils)
(in module mxnet.symbol)
zeros_like() (in module mxnet.ndarray)
(in module mxnet.ndarray.op)
(in module mxnet.ndarray.sparse)
(in module mxnet.symbol)
(in module mxnet.symbol.op)
(in module mxnet.symbol.sparse)
(mxnet.ndarray.NDArray method)
(mxnet.symbol.Symbol method)
ZoneoutCell (class in mxnet.gluon.rnn)