Index

_

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

__init__() (nnabla.experimental.graph_converters.PruningModifier method) (nnabla.function.PythonFunction 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) AdaBelief() (in module nnabla.solvers) 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) AdamW() (in module nnabla.solvers) adaptive_separable_convolution() (in module nnabla.functions) 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_n() (in module nnabla.functions) add_scalar() (in module nnabla.functions) AddBiasModifier (class in nnabla.experimental.graph_converters) Affine (class in nnabla.experimental.parametric_function_class.affine) affine() (in module nnabla.functions) (in module nnabla.parametric_functions)

affine_grid() (in module nnabla.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) apply_order() (nnabla.utils.data_source.DataSource method) (nnabla.utils.data_source.DataSourceWithFileCache method) (nnabla.utils.data_source.DataSourceWithMemoryCache method) arange() (in module nnabla.functions) args (nnabla.function.Function attribute) as_proto() (nnabla.graph_def.ProtoGraph method) (nnabla.graph_def.ProtoNetwork method) 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) auto_grad_depends_input_data() (nnabla.function.Function method) auto_grad_depends_output_data() (nnabla.function.Function method) average_pooling() (in module nnabla.functions)

B

backward() (nnabla.function.Function method) (nnabla.Variable method) backward_impl() (nnabla.function.PythonFunction method) backward_post_hook (nnabla.utils.inspection.value_trace.NanInfTracer property) barrier() (nnabla.communicators.Communicator method) BaseInitializer (class in nnabla.initializer) batch_cholesky() (in module nnabla.functions) batch_det() (in module nnabla.functions) batch_inv() (in module nnabla.functions) batch_logdet() (in module nnabla.functions) batch_matmul() (in module nnabla.functions) batch_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions) batch_size (nnabla.utils.data_iterator.DataIterator property) 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) BatchNormalizationFoldingModifier (class in nnabla.experimental.graph_converters) BatchNormalizationFoldingModifierInner (class in nnabla.experimental.graph_converters) BatchNormalizationFoldingOppositeModifierInner (class in nnabla.experimental.graph_converters) BatchNormalizationSelfFoldingModifier (class in nnabla.experimental.graph_converters) BatchNormBatchStatModifier (class in nnabla.experimental.graph_converters) bcast() (nnabla.communicators.Communicator method)

BEFORE (nnabla.utils.qnn.QATConfig.RecorderPosition attribute) 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_error() (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) bn_folding (nnabla.utils.qnn.QATConfig attribute) (nnabla.utils.qnn.QATTensorRTConfig attribute) bn_self_folding (nnabla.utils.qnn.QATConfig attribute) (nnabla.utils.qnn.QATTensorRTConfig attribute) bool_fill() (in module nnabla.functions) (nnabla.NdArray method) bool_fill_() (nnabla.Variable method) bool_gather() (in module nnabla.functions) bool_scatter() (in module nnabla.functions) BOTH (nnabla.utils.qnn.QATConfig.RecorderPosition attribute) broadcast() (in module nnabla.functions) broadcast_to() (in module nnabla.functions)

C

calc_elapsed_time() (nnabla.utils.inspection.profile.TimeProfiler method) 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) call() (nnabla.core.module.Module method) cast() (nnabla.NdArray method) categorical_cross_entropy() (in module nnabla.functions) category_names (nnabla.models.imagenet.base.ImageNetBase property) CEIL (nnabla.utils.qnn.QATConfig.RoundingMethod attribute) ceil() (in module nnabla.functions) celu() (in module nnabla.functions) channel_last (nnabla.utils.qnn.QATConfig attribute) channel_wise (nnabla.utils.qnn.QATConfig attribute) ChannelFirstModifier (class in nnabla.experimental.graph_converters) ChannelLastModifier (class in nnabla.experimental.graph_converters) check() (nnabla.utils.inspection.value_trace.NanInfTracer method) check_inf_grad() (nnabla.solvers.Solver method) check_inf_or_nan_grad() (nnabla.solvers.Solver method) check_nan_grad() (nnabla.solvers.Solver method) clear() (nnabla.NdArray method) clear_all_graph_links() (nnabla.Variable method) clear_buffer (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) clear_called (nnabla.NdArray attribute) clear_context_parameters() (nnabla.communicators.Communicator method) 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) (nnabla.solvers.Solver method)

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) confusion_matrix() (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.GraphConverter 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.NdArray method) cos() (in module nnabla.functions) cosh() (in module nnabla.functions) cpd3_convolution() (in module nnabla.parametric_functions) create_graph_from_variable() (in module nnabla.graph_def) create_graphviz_digraph() (nnabla.experimental.viewers.SimpleGraph method) crelu() (in module nnabla.functions) ctx (nnabla.function.PythonFunction property) cumprod() (in module nnabla.functions) cumsum() (in module nnabla.functions) current_context (nnabla.graph_def.ProtoGraph property)

D

d (nnabla.Variable attribute) data (nnabla.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.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) DeepLabV3plus (class in nnabla.models.semantic_segmentation) default_graph() (nnabla.graph_def.ProtoGraph method) deformable_convolution() (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) dot() (in module nnabla.functions) draw_bounding_boxes() (in module nnabla.models.object_detection.utils) dropout() (in module nnabla.functions) dtype (nnabla.NdArray attribute) (nnabla.utils.qnn.QATConfig 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) end_scheduling() (nnabla.lms.SwapInOutScheduler method) epoch (nnabla.utils.data_iterator.DataIterator property) epsilon_insensitive_loss() (in module nnabla.functions) equal() (in module nnabla.functions)

equal_scalar() (in module nnabla.functions) erf() (in module nnabla.functions) Evaluator (class in nnabla.experimental.trainers) execute_on_proto() (nnabla.graph_def.ProtoNetwork method) exp() (in module nnabla.functions) expand_loop_control() (nnabla.graph_def.ProtoGraph method) (nnabla.graph_def.ProtoNetwork method) ext_name (nnabla.utils.qnn.QATConfig attribute) extension_context() (in module nnabla.contrib.context)

F

fft() (in module nnabla.functions) fill() (nnabla.NdArray method) find_group() (nnabla.communicators.Communicator method) finish_up() (nnabla.experimental.graph_converters.FunctionModifier 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) flip() (in module nnabla.functions) FLOOR (nnabla.utils.qnn.QATConfig.RoundingMethod attribute) floor() (in module nnabla.functions) forward() (nnabla.function.Function method) (nnabla.Variable method) forward_all() (in module nnabla) forward_impl() (nnabla.function.PythonFunction method) forward_post_hook (nnabla.utils.inspection.value_trace.NanInfTracer property)

forward_sequence() (nnabla.graph_def.ProtoNetwork method) from_dlpack() (in module nnabla.utils.dlpack) from_numpy_array() (nnabla.NdArray static method) (nnabla.Variable static method) from_proto() (nnabla.graph_def.ProtoGraph static method) from_variable() (nnabla.experimental.tb_graph_writer.TBGraphWriter method) Function (class in nnabla.function) function_post_hook() (nnabla.lms.SwapInOutScheduler method) function_pre_hook() (nnabla.lms.SwapInOutScheduler method) function_references (nnabla.Variable attribute) FunctionModifier (class in nnabla.experimental.graph_converters) FunctionProfile (class in nnabla.utils.function_profile) functions (nnabla.utils.inspection.pretty_print.PrettyPrinter attribute) fused_batch_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions) FusedBatchNormalizationModifier (class in nnabla.experimental.graph_converters)

G

g (nnabla.Variable attribute) gather() (in module nnabla.functions) 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.NdArray method) get_default_graph() (in module nnabla.graph_def) get_default_graph_by_variable() (in module nnabla.graph_def) 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_number_of_references (nnabla.Variable attribute) get_parameter_or_create() (in module nnabla.parameter) get_parameter_scope() (nnabla.experimental.graph_converters.FunctionModifier method) get_parameters() (in module nnabla.parameter) (nnabla.core.module.Module method) (nnabla.graph_def.ProtoGraph method) (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() (in module nnabla.grad) grad_depends_input_data() (nnabla.function.Function method) (nnabla.function.PythonFunction method) grad_depends_output_data() (nnabla.function.Function method) (nnabla.function.PythonFunction method) grads (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) graph() (in module nnabla.graph_def) graph_call() (nnabla.graph_def.ProtoFunction method) GraphConverter (class in nnabla.experimental.graph_converters) 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) IdentityModifier (class in nnabla.experimental.graph_converters) 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.solvers.Solver attribute) (nnabla.Variable attribute) init() (nnabla.communicators.Communicator method) inplace_data() (nnabla.function.Function method)

inplace_data_with() (nnabla.function.Function method) input_shape (nnabla.models.imagenet.base.ImageNetBase property) (nnabla.models.object_detection.base.ObjectDetection property) (nnabla.models.semantic_segmentation.base.SemanticSegmentation property) inputs (nnabla.utils.nnp_graph.NnpNetwork attribute) inq_affine() (in module nnabla.functions) (in module nnabla.parametric_functions) inq_convolution() (in module nnabla.functions) (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) isinf() (in module nnabla.functions) isnan() (in module nnabla.functions) istft() (in module nnabla.functions)

K

kl_multinomial() (in module nnabla.functions)

L

Lamb() (in module nnabla.solvers) 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) learning_rate_scale (nnabla.utils.qnn.QATConfig attribute) 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() (in module nnabla.graph_def) load_parameters() (in module nnabla.parameter) (nnabla.core.module.Module method)

load_states() (nnabla.solvers.Solver method) local_rank (nnabla.communicators.Communicator attribute) log() (in module nnabla.functions) log_sigmoid() (in module nnabla.functions) log_softmax() (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

masked_fill() (nnabla.NdArray method) masked_fill_() (nnabla.Variable method) 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) meshgrid() (in module nnabla.functions) min() (in module nnabla.functions) min_max_quantize() (in module nnabla.functions) (in module nnabla.parametric_functions) min_max_quantized_affine() (in module nnabla.parametric_functions) min_max_quantized_convolution() (in module nnabla.parametric_functions) min_outputs() (nnabla.function.Function method) (nnabla.function.PythonFunction method) minimum2() (in module nnabla.functions) minimum_scalar() (in module nnabla.functions) mish() (in module nnabla.functions) MobileNet (class in nnabla.models.imagenet) MobileNetV2 (class in nnabla.models.imagenet) modification_count (nnabla.NdArray attribute) modify() (nnabla.experimental.graph_converters.FunctionModifier method) module nnabla, [1], [2], [3] nnabla._init nnabla.communicators nnabla.config nnabla.contrib nnabla.contrib.context nnabla.core.module nnabla.core.sequential nnabla.ext_utils nnabla.function nnabla.functions nnabla.grad nnabla.graph_def nnabla.initializer nnabla.logger nnabla.models.imagenet nnabla.models.imagenet.base nnabla.models.object_detection nnabla.models.object_detection.base nnabla.models.object_detection.utils nnabla.models.semantic_segmentation nnabla.models.semantic_segmentation.base nnabla.models.semantic_segmentation.utils nnabla.monitor nnabla.parameter nnabla.parametric_functions nnabla.solvers nnabla.utils, [1] nnabla.utils.dlpack nnabla.utils.function_profile nnabla.utils.image_utils nnabla.utils.inspection.pretty_print nnabla.utils.inspection.profile nnabla.utils.inspection.value_trace nnabla.utils.nnp_format nnabla.utils.profiler nnabla.variable

Module (class in nnabla.core.module) 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_n() (in module nnabla.functions) mul_scalar() (in module nnabla.functions) multi_head_attention() (in module nnabla.functions) (in module nnabla.parametric_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.function.PythonFunction property) (nnabla.solvers.Solver attribute) NanInfTracer (class in nnabla.utils.inspection.value_trace) narrow() (nnabla.NdArray method) narrow_range (nnabla.utils.qnn.QATConfig attribute) NdArray (class in nnabla) ndim (nnabla.NdArray attribute) (nnabla.Variable attribute) need_grad (nnabla.Variable attribute) need_setup_recompute() (nnabla.function.Function method) Nesterov() (in module nnabla.solvers) new_group() (nnabla.communicators.Communicator method) next() (nnabla.utils.data_iterator.DataIterator method) NIN (class in nnabla.models.imagenet) niter_to_recording (nnabla.utils.qnn.QATConfig attribute) niter_to_training (nnabla.utils.qnn.QATConfig attribute) nms_detection2d() (in module nnabla.functions) nnabla module, [1], [2], [3] nnabla._init module nnabla.communicators module nnabla.config module nnabla.contrib module nnabla.contrib.context module nnabla.core.module module nnabla.core.sequential module nnabla.ext_utils module nnabla.function module nnabla.functions module nnabla.grad module nnabla.graph_def 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.models.semantic_segmentation module nnabla.models.semantic_segmentation.base module nnabla.models.semantic_segmentation.utils module nnabla.monitor module nnabla.parameter module nnabla.parametric_functions module nnabla.solvers module nnabla.utils module, [1] nnabla.utils.dlpack module nnabla.utils.function_profile module nnabla.utils.image_utils module nnabla.utils.inspection.pretty_print module nnabla.utils.inspection.profile module nnabla.utils.inspection.value_trace 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) no_grad() (in module nnabla) (nnabla.Variable method) NoGradModifier (class in nnabla.experimental.graph_converters) norm() (in module nnabla.functions) norm_normalization() (in module nnabla.functions) NormalInitializer (class in nnabla.initializer) not_equal() (in module nnabla.functions) not_equal_scalar() (in module nnabla.functions) NOTROUND (nnabla.utils.qnn.QATConfig.RoundingMethod attribute)

O

ObjectDetection (class in nnabla.models.object_detection.base) one_hot() (in module nnabla.functions)

OrthogonalInitializer (class in nnabla.initializer) outputs (nnabla.utils.nnp_graph.NnpNetwork attribute)

P

pack_padded_sequence() (in module nnabla.functions) (in module nnabla.utils.rnn) pack_sequence() (in module nnabla.utils.rnn) PackedSequence (class in nnabla.utils.rnn) pad() (in module nnabla.functions) pad_packed_sequence() (in module nnabla.functions) (in module nnabla.utils.rnn) pad_sequence() (in module nnabla.utils.rnn) parameter_scope (nnabla.core.module.Module property) parameter_scope() (in module nnabla.parameter) parametric_function_api() (in module nnabla.parametric_functions) parent (nnabla.Variable attribute) patch_correlation() (in module nnabla.functions) persistent (nnabla.Variable attribute) plot_series() (in module nnabla.monitor) plot_time_elapsed() (in module nnabla.monitor) position (nnabla.utils.data_iterator.DataIterator property) (nnabla.utils.data_source.DataSource property) (nnabla.utils.data_source.DataSourceWithFileCache property) (nnabla.utils.data_source.DataSourceWithMemoryCache property) post_hook (nnabla.utils.inspection.profile.TimeProfiler property) pow2 (nnabla.utils.qnn.QATConfig attribute) (nnabla.utils.qnn.QATTensorRTConfig 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) pprint() (in module nnabla.utils.inspection.pretty_print) pre_hook (nnabla.utils.inspection.profile.TimeProfiler property) prelu() (in module nnabla.functions) (in module nnabla.parametric_functions) PrettyPrinter (class in nnabla.utils.inspection.pretty_print) print_stats() (nnabla.utils.function_profile.FunctionProfile method) prod() (in module nnabla.functions) profile() (in module nnabla.utils.function_profile) promote() (nnabla.graph_def.ProtoNetwork method) ProtoFunction (class in nnabla.graph_def) ProtoGraph (class in nnabla.graph_def) ProtoNetwork (class in nnabla.graph_def) ProtoVariable (class in nnabla.graph_def) prune() (in module nnabla.functions) pruned_affine() (in module nnabla.parametric_functions) pruned_convolution() (in module nnabla.parametric_functions) PruningModifier (class in nnabla.experimental.graph_converters) PythonFunction (class in nnabla.function)

Q

QATConfig (class in nnabla.utils.qnn) QATConfig.RecorderPosition (class in nnabla.utils.qnn) QATConfig.RoundingMethod (class in nnabla.utils.qnn)

QATScheduler (class in nnabla.utils.qnn) QATTensorRTConfig (class in nnabla.utils.qnn) QuantizeNonQNNToRecordingModifier (class in nnabla.experimental.graph_converters) QuantizeRecordingToTrainingModifier (class in nnabla.experimental.graph_converters)

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) rand_beta() (in module nnabla.functions) rand_binomial() (in module nnabla.functions) rand_gamma() (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_erase() (in module nnabla.functions) random_flip() (in module nnabla.functions) random_shift() (in module nnabla.functions) RangeInitializer (class in nnabla.initializer) rank (nnabla.communicators.Communicator attribute) recompute (nnabla.Variable attribute) recompute() (nnabla.function.Function method) record_layers (nnabla.utils.qnn.QATConfig attribute) (nnabla.utils.qnn.QATTensorRTConfig attribute) recorder_activation (nnabla.utils.qnn.QATConfig attribute) recorder_position (nnabla.utils.qnn.QATConfig attribute) recorder_weight (nnabla.utils.qnn.QATConfig 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() (in module nnabla.backward_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) RemoveFunctionModifier (class in nnabla.experimental.graph_converters) reset_default_graph() (in module nnabla.graph_def) reset_inf() (in module nnabla.functions) reset_nan() (in module nnabla.functions) 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) RMSpropGraves() (in module nnabla.solvers) rnn() (in module nnabla.functions) (in module nnabla.parametric_functions) roi_align() (in module nnabla.functions) ROUND (nnabla.utils.qnn.QATConfig.RoundingMethod attribute) round() (in module nnabla.functions) round_mode (nnabla.utils.qnn.QATConfig attribute) run() (nnabla.utils.profiler.GraphProfiler method)

S

save() (in module nnabla.graph_def) (in module nnabla.utils.save) (nnabla.experimental.viewers.SimpleGraph method) (nnabla.graph_def.ProtoNetwork method) (nnabla.utils.qnn.QATScheduler method) save_parameters() (in module nnabla.parameter) (nnabla.core.module.Module method) 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_add() (in module nnabla.functions) scatter_nd() (in module nnabla.functions) scope() (nnabla.utils.inspection.profile.TimeProfiler method) searchsorted() (in module nnabla.functions) selu() (in module nnabla.functions) SemanticSegmentation (class in nnabla.models.semantic_segmentation.base) SENet (class in nnabla.models.imagenet) Sequential (class in nnabla.core.sequential) set_active_input_mask() (nnabla.function.Function method) 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) setup_impl() (nnabla.function.PythonFunction method) setup_recompute() (nnabla.function.Function method) Sgd() (in module nnabla.solvers) SgdW() (in module nnabla.solvers) shape (nnabla.NdArray attribute) (nnabla.Variable attribute) shape() (in module nnabla.functions) shift() (in module nnabla.functions) show_registry() (in module nnabla.backward_functions) shuffle (nnabla.utils.data_source.DataSource property) (nnabla.utils.data_source.DataSourceWithFileCache property) (nnabla.utils.data_source.DataSourceWithMemoryCache property) 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.communicators.Communicator attribute) (nnabla.NdArray attribute) (nnabla.utils.data_iterator.DataIterator property) (nnabla.Variable attribute) size_from_axis() (nnabla.NdArray method) (nnabla.Variable method) skip_bias (nnabla.utils.qnn.QATConfig attribute) skip_inputs_layers (nnabla.utils.qnn.QATConfig attribute) skip_outputs_layers (nnabla.utils.qnn.QATConfig attribute) 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.functions) (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) start_scheduling() (nnabla.lms.SwapInOutScheduler method) step() (nnabla.utils.qnn.QATScheduler method) stft() (in module nnabla.functions) strides (nnabla.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) SwapInOutScheduler (class in nnabla.lms) 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) TBGraphWriter (class in nnabla.experimental.tb_graph_writer) TestModeModifier (class in nnabla.experimental.graph_converters) tile() (in module nnabla.functions) tile_images() (in module nnabla.monitor) TimeProfiler (class in nnabla.utils.inspection.profile) to_csv() (nnabla.utils.inspection.profile.TimeProfiler method)

to_dlpack() (in module nnabla.utils.dlpack) top_k_data() (in module nnabla.functions) top_k_grad() (in module nnabla.functions) top_n_error() (in module nnabla.functions) trace() (nnabla.utils.inspection.value_trace.NanInfTracer method) Trainer (class in nnabla.experimental.trainers) training (nnabla.core.module.Module property) transformer() (in module nnabla.parametric_functions) transformer_decode() (in module nnabla.parametric_functions) transformer_encode() (in module nnabla.parametric_functions) transpose() (in module nnabla.functions)

U

UnfusedBatchNormalizationModifier (class in nnabla.experimental.graph_converters) UniformInitializer (class in nnabla.initializer) UniformIntInitializer (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) update_post_hook() (nnabla.lms.SwapInOutScheduler method) update_pre_hook() (nnabla.lms.SwapInOutScheduler method) Updater (class in nnabla.experimental.trainers)

V

Variable (class in nnabla) variables (nnabla.utils.data_iterator.DataIterator property) (nnabla.utils.data_source.DataSource property) (nnabla.utils.data_source.DataSourceWithFileCache property) (nnabla.utils.data_source.DataSourceWithMemoryCache property) (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) (nnabla.NdArray method) visit() (nnabla.Variable method) visit_check() (nnabla.Variable method)

W

warp_by_flow() (in module nnabla.functions) warp_by_grid() (in module nnabla.functions) weight_decay (nnabla.experimental.mixed_precision_training.DynamicLossScalingUpdater attribute) weight_decay() (nnabla.solvers.Solver method) weight_decay_is_fused() (nnabla.solvers.Solver method)

weight_normalization() (in module nnabla.functions) (in module nnabla.parametric_functions) weight_standardization() (in module nnabla.functions) WeightNormalizationScaleInitializer (class in nnabla.initializer) where() (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.NdArray method) zero_grad() (nnabla.core.module.Module method) (nnabla.solvers.Solver method)

zero_point (nnabla.utils.qnn.QATConfig attribute) zeroing (nnabla.NdArray attribute)