Index

_

__call__() (nnabla.initializer.BaseInitializer method) (nnabla.models.imagenet.base.ImageNetBase method) (nnabla.models.object_detection.base.ObjectDetection method) (nnabla.parametric_functions.LSTMCell method)

A

abort() (nnabla.communicators.Communicator method) abs() (in module nnabla.functions) absolute_error() (in module nnabla.functions) accum_grad (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) acos() (in module nnabla.functions) acosh() (in module nnabla.functions) AdaBound() (in module nnabla.solvers) Adadelta() (in module nnabla.solvers) Adagrad() (in module nnabla.solvers) Adam() (in module nnabla.solvers) Adamax() (in module nnabla.solvers) add() (nnabla.monitor.MonitorImage method) (nnabla.monitor.MonitorImageTile method) (nnabla.monitor.MonitorSeries method) (nnabla.monitor.MonitorTimeElapsed method) add2() (in module nnabla.functions) add_context_and_parameters() (nnabla.communicators.Communicator method) add_scalar() (in module nnabla.functions)

Affine (class in nnabla.experimental.parametric_function_class.affine) affine() (in module nnabla.functions) (in module nnabla.parametric_functions) all_gather() (nnabla.communicators.Communicator method) all_reduce() (nnabla.communicators.Communicator method) all_reduce_callback() (nnabla.communicators.Communicator method) allreduce() (nnabla.communicators.Communicator method) AMSBound() (in module nnabla.solvers) AMSGRAD() (in module nnabla.solvers) apply() (nnabla.Variable method) arange() (in module nnabla.functions) asin() (in module nnabla.functions) asinh() (in module nnabla.functions) assign() (in module nnabla.functions) atan() (in module nnabla.functions) atan2() (in module nnabla.functions) atanh() (in module nnabla.functions) auto_forward() (in module nnabla) average_pooling() (in module nnabla.functions)

B

backward() (nnabla.function.Function method) (nnabla.Variable method) barrier() (nnabla.communicators.Communicator method) BaseInitializer (class in nnabla.initializer) batch_matmul() (in module nnabla.functions) batch_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions) batch_size (nnabla.utils.data_iterator.DataIterator attribute) BatchNorm1d (class in nnabla.experimental.parametric_function_class.batch_normalization) BatchNorm2d (class in nnabla.experimental.parametric_function_class.batch_normalization) BatchNorm3d (class in nnabla.experimental.parametric_function_class.batch_normalization) BatchNormalization (class in nnabla.experimental.parametric_function_class.batch_normalization) BatchNormalizationFoldedConverter (class in nnabla.experimental.graph_converters.batch_normalization_folded) BatchNormalizationLinearConverter (class in nnabla.experimental.graph_converters.batch_normalization_linear)

bcast() (nnabla.communicators.Communicator method) binary_connect_affine() (in module nnabla.functions) (in module nnabla.parametric_functions) binary_connect_convolution() (in module nnabla.functions) (in module nnabla.parametric_functions) binary_cross_entropy() (in module nnabla.functions) binary_sigmoid() (in module nnabla.functions) binary_tanh() (in module nnabla.functions) binary_weight_affine() (in module nnabla.functions) (in module nnabla.parametric_functions) binary_weight_convolution() (in module nnabla.functions) (in module nnabla.parametric_functions) broadcast() (in module nnabla.functions) broadcast_to() (in module nnabla.functions)

C

calc_normal_std_glorot() (in module nnabla.initializer) calc_normal_std_he_backward() (in module nnabla.initializer) calc_normal_std_he_forward() (in module nnabla.initializer) calc_uniform_lim_glorot() (in module nnabla.initializer) cast() (nnabla._nd_array.NdArray method) categorical_cross_entropy() (in module nnabla.functions) category_names (nnabla.models.imagenet.base.ImageNetBase attribute) ceil() (in module nnabla.functions) celu() (in module nnabla.functions) check_inf_grad() (nnabla.solvers.Solver method) check_inf_or_nan_grad() (nnabla.solvers.Solver method) check_nan_grad() (nnabla.solvers.Solver method) clear_all_graph_links() (nnabla.Variable method) clear_buffer (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) clear_context_parameters() (nnabla.communicators.Communicator method) clear_memory_cache() (in module nnabla.ext_utils) clear_parameters() (in module nnabla.parameter) (nnabla.solvers.Solver method) clip_by_norm() (in module nnabla.functions) clip_by_value() (in module nnabla.functions) clip_grad_by_norm() (in module nnabla.functions) clip_grad_by_value() (in module nnabla.functions) comm (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) Communicator (class in nnabla.communicators)

concatenate() (in module nnabla.functions) constant() (in module nnabla.functions) ConstantInitializer (class in nnabla.initializer) Context (class in nnabla) context() (in module nnabla.ext_utils) context_scope() (in module nnabla) Conv1d (in module nnabla.experimental.parametric_function_class.convolution) Conv2d (in module nnabla.experimental.parametric_function_class.convolution) Conv3d (in module nnabla.experimental.parametric_function_class.convolution) convert() (nnabla.experimental.graph_converters.batch_normalization_folded.BatchNormalizationFoldedConverter method) (nnabla.experimental.graph_converters.batch_normalization_linear.BatchNormalizationLinearConverter method) (nnabla.experimental.graph_converters.fixed_point_activation.FixedPointActivationConverter method) (nnabla.experimental.graph_converters.fixed_point_weight.FixedPointWeightConverter method) (nnabla.experimental.graph_converters.identity.IdentityConverter method) ConvNd (in module nnabla.experimental.parametric_function_class.convolution) Convolution (class in nnabla.experimental.parametric_function_class.convolution) convolution() (in module nnabla.functions) (in module nnabla.parametric_functions) copy_from() (nnabla._nd_array.NdArray method) cos() (in module nnabla.functions) cosh() (in module nnabla.functions) cpd3_convolution() (in module nnabla.parametric_functions) create_graphviz_digraph() (nnabla.experimental.viewers.SimpleGraph method) crelu() (in module nnabla.functions)

D

d (nnabla.Variable attribute) data (nnabla._nd_array.NdArray attribute) (nnabla.Variable attribute) data_feeder (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) data_iterator() (in module nnabla.utils.data_iterator) data_iterator_cache() (in module nnabla.utils.data_iterator) data_iterator_concat_datasets() (in module nnabla.utils.data_iterator) data_iterator_csv_dataset() (in module nnabla.utils.data_iterator) data_iterator_simple() (in module nnabla.utils.data_iterator) data_ptr() (nnabla._nd_array.NdArray method) DataIterator (class in nnabla.utils.data_iterator) DataSource (class in nnabla.utils.data_source) DataSourceWithFileCache (class in nnabla.utils.data_source) DataSourceWithMemoryCache (class in nnabla.utils.data_source) Deconv1d (in module nnabla.experimental.parametric_function_class.deconvolution) Deconv2d (in module nnabla.experimental.parametric_function_class.deconvolution)

Deconv3d (in module nnabla.experimental.parametric_function_class.deconvolution) DeconvNd (in module nnabla.experimental.parametric_function_class.deconvolution) Deconvolution (class in nnabla.experimental.parametric_function_class.deconvolution) deconvolution() (in module nnabla.functions) (in module nnabla.parametric_functions) DenseNet (class in nnabla.models.imagenet) depthwise_convolution() (in module nnabla.functions) (in module nnabla.parametric_functions) depthwise_deconvolution() (in module nnabla.functions) (in module nnabla.parametric_functions) device_synchronize() (in module nnabla.ext_utils) div2() (in module nnabla.functions) draw_bounding_boxes() (in module nnabla.models.object_detection.utils) dropout() (in module nnabla.functions) dtype (nnabla._nd_array.NdArray attribute) DynamicLossScalingUpdater (class in nnabla.experimental.mixed_precision_training)

E

elu() (in module nnabla.functions) Embed (class in nnabla.experimental.parametric_function_class.embed) embed() (in module nnabla.functions) (in module nnabla.parametric_functions) epoch (nnabla.utils.data_iterator.DataIterator attribute)

epsilon_insensitive_loss() (in module nnabla.functions) equal() (in module nnabla.functions) equal_scalar() (in module nnabla.functions) Evaluator (class in nnabla.experimental.trainers) exp() (in module nnabla.functions) extension_context() (in module nnabla.contrib.context)

F

fft() (in module nnabla.functions) fill() (nnabla._nd_array.NdArray method) find_group() (nnabla.communicators.Communicator method) fixed_point_quantize() (in module nnabla.functions) fixed_point_quantized_affine() (in module nnabla.parametric_functions) fixed_point_quantized_convolution() (in module nnabla.parametric_functions) FixedPointActivationConverter (class in nnabla.experimental.graph_converters.fixed_point_activation) FixedPointWeightConverter (class in nnabla.experimental.graph_converters.fixed_point_weight)

flip() (in module nnabla.functions) floor() (in module nnabla.functions) forward() (nnabla.function.Function method) (nnabla.Variable method) from_numpy_array() (nnabla._nd_array.NdArray static method) (nnabla.Variable static method) Function (class in nnabla.function) function_references (nnabla.Variable attribute) FunctionProfile (class in nnabla.utils.function_profile)

G

g (nnabla.Variable attribute) gather_nd() (in module nnabla.functions) gelu() (in module nnabla.functions) get_auto_forward() (in module nnabla) get_current_context() (in module nnabla) get_current_parameter_scope() (in module nnabla.parameter) get_data() (nnabla._nd_array.NdArray method) get_device_count() (in module nnabla.ext_utils) get_devices() (in module nnabla.ext_utils) get_extension_context() (in module nnabla.ext_utils) get_network() (nnabla.utils.nnp_graph.NnpLoader method) get_network_names() (nnabla.utils.nnp_graph.NnpLoader method) get_parameter_or_create() (in module nnabla.parameter) get_parameters() (in module nnabla.parameter) (nnabla.solvers.Solver method) get_states() (nnabla.solvers.Solver method)

get_unlinked_variable() (nnabla.Variable method) global_average_pooling() (in module nnabla.functions) GoogLeNet (class in nnabla.models.imagenet) grad (nnabla.Variable attribute) grad_depends_output_data() (nnabla.function.Function method) grads (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) GraphProfiler (class in nnabla.utils.profiler) GraphProfilerCsvWriter (class in nnabla.utils.profiler) greater() (in module nnabla.functions) greater_equal() (in module nnabla.functions) greater_equal_scalar() (in module nnabla.functions) greater_scalar() (in module nnabla.functions) group_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions) gru() (in module nnabla.functions) (in module nnabla.parametric_functions)

H

hard_sigmoid() (in module nnabla.functions)

hard_tanh() (in module nnabla.functions) huber_loss() (in module nnabla.functions)

I

identity() (in module nnabla.functions) IdentityConverter (class in nnabla.experimental.graph_converters.identity) ifft() (in module nnabla.functions) image_augmentation() (in module nnabla.functions) ImageNetBase (class in nnabla.models.imagenet.base) import_extension_module() (in module nnabla.ext_utils) imread() (in module nnabla.utils.image_utils) imresize() (in module nnabla.utils.image_utils) imsave() (in module nnabla.utils.image_utils) InceptionV3 (class in nnabla.models.imagenet) info (nnabla.function.Function attribute) (nnabla.Variable attribute) (nnabla.solvers.Solver attribute) init() (nnabla.communicators.Communicator method)

inplace_data() (nnabla.function.Function method) inplace_data_with() (nnabla.function.Function method) inplace_grad() (nnabla.function.Function method) inplace_grad_with() (nnabla.function.Function method) input_shape (nnabla.models.imagenet.base.ImageNetBase attribute) (nnabla.models.object_detection.base.ObjectDetection attribute) inputs (nnabla.utils.nnp_graph.NnpNetwork attribute) inq_affine() (in module nnabla.parametric_functions) inq_convolution() (in module nnabla.parametric_functions) instance_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions) interpolate() (in module nnabla.functions) inverse_coordinate_transform() (nnabla.models.object_detection.utils.LetterBoxTransform method) istft() (in module nnabla.functions)

K

kl_multinomial() (in module nnabla.functions)

L

Lars() (in module nnabla.solvers) layer_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions) leaky_relu() (in module nnabla.functions) learning_rate() (nnabla.solvers.Solver method) less() (in module nnabla.functions) less_equal() (in module nnabla.functions) less_equal_scalar() (in module nnabla.functions) less_scalar() (in module nnabla.functions) LetterBoxTransform (class in nnabla.models.object_detection.utils) Linear (in module nnabla.experimental.parametric_function_class.affine) list_extensions() (in module nnabla.ext_utils) list_groups() (nnabla.communicators.Communicator method) load_parameters() (in module nnabla.parameter) load_states() (nnabla.solvers.Solver method)

local_rank (nnabla.communicators.Communicator attribute) log() (in module nnabla.functions) log_sigmoid() (in module nnabla.functions) logger (in module nnabla.logger) logical_and() (in module nnabla.functions) logical_and_scalar() (in module nnabla.functions) logical_not() (in module nnabla.functions) logical_or() (in module nnabla.functions) logical_or_scalar() (in module nnabla.functions) logical_xor() (in module nnabla.functions) logical_xor_scalar() (in module nnabla.functions) loss (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) lstm() (in module nnabla.functions) (in module nnabla.parametric_functions) lstm_cell() (in module nnabla.parametric_functions) LSTMCell (class in nnabla.parametric_functions)

M

matrix_diag() (in module nnabla.functions) matrix_diag_part() (in module nnabla.functions) max() (in module nnabla.functions) max_pooling() (in module nnabla.functions) maximum2() (in module nnabla.functions) maximum_scalar() (in module nnabla.functions) mean() (in module nnabla.functions) mean_subtraction() (in module nnabla.functions) (in module nnabla.parametric_functions) min() (in module nnabla.functions) min_outputs() (nnabla.function.Function method) minimum2() (in module nnabla.functions)

minimum_scalar() (in module nnabla.functions) MobileNet (class in nnabla.models.imagenet) MobileNetV2 (class in nnabla.models.imagenet) Momentum() (in module nnabla.solvers) Monitor (class in nnabla.monitor) MonitorImage (class in nnabla.monitor) MonitorImageTile (class in nnabla.monitor) MonitorSeries (class in nnabla.monitor) MonitorTimeElapsed (class in nnabla.monitor) mul2() (in module nnabla.functions) mul_scalar() (in module nnabla.functions) MultiProcessDataParalellCommunicator() (in module nnabla.communicators)

N

N (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) NaiveClassificationTrainer (class in nnabla.experimental.trainers) NaiveRegressionTrainer (class in nnabla.experimental.trainers) name (nnabla.communicators.Communicator attribute) (nnabla.solvers.Solver attribute) NdArray (class in nnabla._nd_array) ndim (nnabla._nd_array.NdArray attribute) (nnabla.Variable attribute) need_grad (nnabla.Variable attribute) Nesterov() (in module nnabla.solvers) new_group() (nnabla.communicators.Communicator method) next() (nnabla.utils.data_iterator.DataIterator method) NIN (class in nnabla.models.imagenet) nms_detection2d() (in module nnabla.functions) nnabla (module), [1], [2] nnabla._init (module) nnabla.communicators (module) nnabla.config (module) nnabla.contrib (module) nnabla.contrib.context (module) nnabla.ext_utils (module) nnabla.function (module) nnabla.functions (module)

nnabla.initializer (module) nnabla.logger (module) nnabla.models.imagenet (module) nnabla.models.imagenet.base (module) nnabla.models.object_detection (module) nnabla.models.object_detection.base (module) nnabla.models.object_detection.utils (module) nnabla.monitor (module) nnabla.parameter (module) nnabla.parametric_functions (module) nnabla.solvers (module) nnabla.utils (module), [1] nnabla.utils.function_profile (module) nnabla.utils.image_utils (module) nnabla.utils.nnp_format (module) nnabla.utils.profiler (module) nnabla.variable (module) nnp_version() (in module nnabla.utils.nnp_format) NnpLoader (class in nnabla.utils.nnp_graph) NnpNetwork (class in nnabla.utils.nnp_graph) NormalInitializer (class in nnabla.initializer) not_equal() (in module nnabla.functions) not_equal_scalar() (in module nnabla.functions)

O

ObjectDetection (class in nnabla.models.object_detection.base)

one_hot() (in module nnabla.functions) outputs (nnabla.utils.nnp_graph.NnpNetwork attribute)

P

pad() (in module nnabla.functions) parameter_scope() (in module nnabla.parameter) parametric_function_api() (in module nnabla.parametric_functions) parent (nnabla.Variable attribute) persistent (nnabla.Variable attribute) plot_series() (in module nnabla.monitor) plot_time_elapsed() (in module nnabla.monitor) position (nnabla.utils.data_iterator.DataIterator attribute) (nnabla.utils.data_source.DataSource attribute) (nnabla.utils.data_source.DataSourceWithFileCache attribute) (nnabla.utils.data_source.DataSourceWithMemoryCache attribute) pow2() (in module nnabla.functions)

pow2_quantize() (in module nnabla.functions) pow2_quantized_affine() (in module nnabla.parametric_functions) pow2_quantized_convolution() (in module nnabla.parametric_functions) pow_scalar() (in module nnabla.functions) prelu() (in module nnabla.functions) (in module nnabla.parametric_functions) print_stats() (nnabla.utils.function_profile.FunctionProfile method) prod() (in module nnabla.functions) profile() (in module nnabla.utils.function_profile) prune() (in module nnabla.functions) pruned_affine() (in module nnabla.parametric_functions) pruned_convolution() (in module nnabla.parametric_functions)

R

r_div_scalar() (in module nnabla.functions) r_pow_scalar() (in module nnabla.functions) r_sub_scalar() (in module nnabla.functions) rand() (in module nnabla.functions) randint() (in module nnabla.functions) randn() (in module nnabla.functions) random_choice() (in module nnabla.functions) random_crop() (in module nnabla.functions) random_flip() (in module nnabla.functions) random_shift() (in module nnabla.functions) rank (nnabla.communicators.Communicator attribute) reduce() (nnabla.communicators.Communicator method) reduce_mean() (in module nnabla.functions) reduce_scatter() (nnabla.communicators.Communicator method) reduce_sum() (in module nnabla.functions) register_epoch_begin_callback() (nnabla.utils.data_iterator.DataIterator method) register_epoch_end_callback() (nnabla.utils.data_iterator.DataIterator method) relu() (in module nnabla.functions) relu6() (in module nnabla.functions)

remove_parameters() (nnabla.solvers.Solver method) reset_shape() (nnabla.Variable method) reset_stats() (nnabla.utils.function_profile.FunctionProfile method) reshape() (in module nnabla.functions) (nnabla.Variable method) ResNet (class in nnabla.models.imagenet) ResNet101 (class in nnabla.models.imagenet) ResNet152 (class in nnabla.models.imagenet) ResNet18 (class in nnabla.models.imagenet) ResNet34 (class in nnabla.models.imagenet) ResNet50 (class in nnabla.models.imagenet) ResNeXt (class in nnabla.models.imagenet) ResNeXt101 (class in nnabla.models.imagenet) ResNeXt50 (class in nnabla.models.imagenet) rewire_on() (nnabla.Variable method) RMSprop() (in module nnabla.solvers) rnn() (in module nnabla.functions) (in module nnabla.parametric_functions) round() (in module nnabla.functions) run() (nnabla.utils.profiler.GraphProfiler method)

S

save() (in module nnabla.utils.save) (nnabla.experimental.viewers.SimpleGraph method) save_parameters() (in module nnabla.parameter) save_states() (nnabla.solvers.Solver method) scale (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) scale_grad() (nnabla.solvers.Solver method) scaling_factor (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) scatter_nd() (in module nnabla.functions) selu() (in module nnabla.functions) SENet (class in nnabla.models.imagenet) set_auto_forward() (in module nnabla) set_default_context() (in module nnabla) set_learning_rate() (nnabla.solvers.Solver method) set_parameters() (nnabla.solvers.Solver method) set_states() (nnabla.solvers.Solver method) set_states_from_protobuf() (nnabla.solvers.Solver method) set_states_to_protobuf() (nnabla.solvers.Solver method) setup() (nnabla.function.Function method) (nnabla.solvers.Solver method) Sgd() (in module nnabla.solvers) shape (nnabla._nd_array.NdArray attribute) (nnabla.Variable attribute) shift() (in module nnabla.functions) shuffle (nnabla.utils.data_source.DataSource attribute) (nnabla.utils.data_source.DataSourceWithFileCache attribute) (nnabla.utils.data_source.DataSourceWithMemoryCache attribute) ShuffleNet (class in nnabla.models.imagenet) ShuffleNet05 (class in nnabla.models.imagenet) ShuffleNet10 (class in nnabla.models.imagenet) ShuffleNet20 (class in nnabla.models.imagenet) sigmoid() (in module nnabla.functions) sigmoid_cross_entropy() (in module nnabla.functions) sign() (in module nnabla.functions) SimpleGraph (class in nnabla.experimental.viewers) sin() (in module nnabla.functions)

sinc() (in module nnabla.functions) sinh() (in module nnabla.functions) sink() (in module nnabla.functions) size (nnabla._nd_array.NdArray attribute) (nnabla.Variable attribute) (nnabla.communicators.Communicator attribute) (nnabla.utils.data_iterator.DataIterator attribute) size_from_axis() (nnabla._nd_array.NdArray method) (nnabla.Variable method) slice() (in module nnabla.functions) (nnabla.utils.data_iterator.DataIterator method) softmax() (in module nnabla.functions) softmax_cross_entropy() (in module nnabla.functions) softplus() (in module nnabla.functions) softsign() (in module nnabla.functions) Solver (class in nnabla.solvers) solver (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) sort() (in module nnabla.functions) spectral_norm() (in module nnabla.parametric_functions) split() (in module nnabla.functions) squared_error() (in module nnabla.functions) SqueezeNet (class in nnabla.models.imagenet) SqueezeNetV10 (class in nnabla.models.imagenet) SqueezeNetV11 (class in nnabla.models.imagenet) stack() (in module nnabla.functions) stft() (in module nnabla.functions) strides (nnabla._nd_array.NdArray attribute) sub2() (in module nnabla.functions) sum() (in module nnabla.functions) sum_pooling() (in module nnabla.functions) svd_affine() (in module nnabla.parametric_functions) svd_convolution() (in module nnabla.parametric_functions) swish() (in module nnabla.functions) sync_batch_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions)

T

tags (nnabla.function.Function attribute) tan() (in module nnabla.functions) tanh() (in module nnabla.functions), [1] tanh_shrink() (in module nnabla.functions) tile() (in module nnabla.functions)

tile_images() (in module nnabla.monitor) top_k_data() (in module nnabla.functions) top_k_grad() (in module nnabla.functions) top_n_error() (in module nnabla.functions) Trainer (class in nnabla.experimental.trainers) transpose() (in module nnabla.functions)

U

UniformInitializer (class in nnabla.initializer) unlink() (in module nnabla.functions) unlinked() (nnabla.Variable method) unpooling() (in module nnabla.functions)

update() (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater method) (nnabla.experimental.trainers.Updater method) (nnabla.solvers.Solver method) Updater (class in nnabla.experimental.trainers)

V

Variable (class in nnabla) variables (nnabla.utils.data_iterator.DataIterator attribute) (nnabla.utils.data_source.DataSource attribute) (nnabla.utils.data_source.DataSourceWithFileCache attribute) (nnabla.utils.data_source.DataSourceWithMemoryCache attribute) (nnabla.utils.nnp_graph.NnpNetwork attribute) vat_noise() (in module nnabla.functions)

VGG (class in nnabla.models.imagenet) VGG11 (class in nnabla.models.imagenet) VGG13 (class in nnabla.models.imagenet) VGG16 (class in nnabla.models.imagenet) view() (nnabla.experimental.viewers.SimpleGraph method) visit() (nnabla.Variable method) visit_check() (nnabla.Variable method)

W

weight_decay (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) weight_decay() (nnabla.solvers.Solver method)

weight_standardization() (in module nnabla.functions) write() (nnabla.utils.profiler.GraphProfilerCsvWriter method)

X

Xception (class in nnabla.models.imagenet)

Y

YoloV2 (class in nnabla.models.object_detection)

Z

zero() (nnabla._nd_array.NdArray method)

zero_grad() (nnabla.solvers.Solver method)