Index

Symbols

--batch_size <batch_size> benchmarks-profile command line option --benchmark <benchmark> benchmarks-build command line option --device <device> benchmarks-profile command line option --dimensions <dimensions> benchmarks-build command line option --kwarg <kwarg> benchmarks-build command line option --n_steps <n_steps> benchmarks-profile command line option

--neuron_type <neuron_type> benchmarks-build command line option --neurons_per_d <neurons_per_d> benchmarks-build command line option --no-train benchmarks-profile command line option --time-only benchmarks-profile command line option --train benchmarks-profile command line option --unroll <unroll> benchmarks-profile command line option

_

__call__() (nengo_dl.Layer method) __getitem__() (nengo_dl.signals.TensorSignal method) (nengo_dl.simulator.SimulationData method)

__str__() (nengo_dl.Layer method)

A

add_connection() (nengo_dl.converter.LayerConverter method) add_nengo_obj() (nengo_dl.converter.LayerConverter method)

add_op() (nengo_dl.builder.NengoModel method) align_func() (in module nengo_dl.utils)

B

basal_ganglia() (in module nengo_dl.benchmarks) benchmarks-build command line option --benchmark <benchmark> --dimensions <dimensions> --kwarg <kwarg> --neuron_type <neuron_type> --neurons_per_d <neurons_per_d> benchmarks-profile command line option --batch_size <batch_size> --device <device> --n_steps <n_steps> --no-train --time-only --train --unroll <unroll> build() (nengo_dl.builder.Builder method) (nengo_dl.builder.NengoBuilder class method) (nengo_dl.tensor_graph.TensorGraph method) build_inputs() (nengo_dl.tensor_graph.TensorGraph method) build_pes() (in module nengo_dl.learning_rule_builders) build_post() (nengo_dl.builder.Builder method) (nengo_dl.builder.OpBuilder method) (nengo_dl.process_builders.GenericProcessBuilder method) (nengo_dl.process_builders.SimProcessBuilder method) (nengo_dl.tensor_graph.TensorGraph method) build_pre() (nengo_dl.builder.Builder method) build_step() (nengo_dl.builder.OpBuilder method) (nengo_dl.learning_rule_builders.SimBCMBuilder method) (nengo_dl.learning_rule_builders.SimOjaBuilder method) (nengo_dl.learning_rule_builders.SimPESBuilder method) (nengo_dl.learning_rule_builders.SimVojaBuilder method) (nengo_dl.neuron_builders.GenericNeuronBuilder method) (nengo_dl.neuron_builders.LIFBuilder method) (nengo_dl.neuron_builders.LIFRateBuilder method) (nengo_dl.neuron_builders.RectifiedLinearBuilder method) (nengo_dl.neuron_builders.SigmoidBuilder method) (nengo_dl.neuron_builders.SimNeuronsBuilder method) (nengo_dl.neuron_builders.SoftLIFRateBuilder method) (nengo_dl.neuron_builders.SpikingRectifiedLinearBuilder method) (nengo_dl.op_builders.CopyBuilder method) (nengo_dl.op_builders.DotIncBuilder method) (nengo_dl.op_builders.ElementwiseIncBuilder method) (nengo_dl.op_builders.ResetBuilder method) (nengo_dl.op_builders.SimPyFuncBuilder method) (nengo_dl.op_builders.SparseDotIncBuilder method) (nengo_dl.op_builders.TimeUpdateBuilder method) (nengo_dl.process_builders.GenericProcessBuilder method) (nengo_dl.process_builders.LinearFilterBuilder method) (nengo_dl.process_builders.LowpassBuilder method) (nengo_dl.process_builders.SimProcessBuilder method) (nengo_dl.tensor_node.SimTensorNodeBuilder method) (nengo_dl.transform_builders.ConvIncBuilder method)

build_tensor_node() (in module nengo_dl.tensor_node) BuildConfig (class in nengo_dl.builder) Builder (class in nengo_dl.builder)

C

call() (nengo_dl.losses.Regularize method) (nengo_dl.tensor_graph.TensorGraph method) cconv() (in module nengo_dl.benchmarks) check_gradients (nengo_dl.Simulator attribute) close() (nengo_dl.Simulator method) combine() (nengo_dl.signals.SignalDict method) compile (nengo_dl.Simulator attribute) configure_settings() (in module nengo_dl.config) convert() (nengo_dl.converter.ConvertActivation method) (nengo_dl.converter.ConvertAdd method) (nengo_dl.converter.ConvertAverage method) (nengo_dl.converter.ConvertAvgPool method) (nengo_dl.converter.ConvertAvgPool1D method) (nengo_dl.converter.ConvertAvgPool2D method) (nengo_dl.converter.ConvertAvgPool3D method) (nengo_dl.converter.ConvertBatchNormalization method) (nengo_dl.converter.ConvertConcatenate method) (nengo_dl.converter.ConvertConv method) (nengo_dl.converter.ConvertConv1D method) (nengo_dl.converter.ConvertConv2D method) (nengo_dl.converter.ConvertConv3D method) (nengo_dl.converter.ConvertDense method) (nengo_dl.converter.ConvertFallback method) (nengo_dl.converter.ConvertFlatten method) (nengo_dl.converter.ConvertInput method) (nengo_dl.converter.ConvertModel method) (nengo_dl.converter.ConvertReLU method) (nengo_dl.converter.ConvertReshape method) (nengo_dl.converter.ConvertZeroPadding method) (nengo_dl.converter.ConvertZeroPadding1D method) (nengo_dl.converter.ConvertZeroPadding2D method) (nengo_dl.converter.ConvertZeroPadding3D method) (nengo_dl.converter.LayerConverter method)

ConvertActivation (class in nengo_dl.converter) ConvertAdd (class in nengo_dl.converter) ConvertAverage (class in nengo_dl.converter) ConvertAvgPool (class in nengo_dl.converter) ConvertAvgPool1D (class in nengo_dl.converter) ConvertAvgPool2D (class in nengo_dl.converter) ConvertAvgPool3D (class in nengo_dl.converter) ConvertBatchNormalization (class in nengo_dl.converter) ConvertConcatenate (class in nengo_dl.converter) ConvertConv (class in nengo_dl.converter) ConvertConv1D (class in nengo_dl.converter) ConvertConv2D (class in nengo_dl.converter) ConvertConv3D (class in nengo_dl.converter) ConvertDense (class in nengo_dl.converter) Converter (class in nengo_dl) Converter.TensorDict (class in nengo_dl) ConvertFallback (class in nengo_dl.converter) ConvertFlatten (class in nengo_dl.converter) convertible() (nengo_dl.converter.ConvertAvgPool class method) (nengo_dl.converter.ConvertBatchNormalization class method) (nengo_dl.converter.ConvertConcatenate class method) (nengo_dl.converter.LayerConverter class method) ConvertInput (class in nengo_dl.converter) ConvertModel (class in nengo_dl.converter) ConvertReLU (class in nengo_dl.converter) ConvertReshape (class in nengo_dl.converter) ConvertSequential (class in nengo_dl.converter) ConvertZeroPadding (class in nengo_dl.converter) ConvertZeroPadding1D (class in nengo_dl.converter) ConvertZeroPadding2D (class in nengo_dl.converter) ConvertZeroPadding3D (class in nengo_dl.converter) ConvIncBuilder (class in nengo_dl.transform_builders) CopyBuilder (class in nengo_dl.op_builders) create_signals() (nengo_dl.tensor_graph.TensorGraph method)

D

display_signal_blocks() (in module nengo_dl.graph_optimizer)

DotIncBuilder (class in nengo_dl.op_builders) dst() (nengo_dl.op_builders.ResetInc property)

E

ElementwiseIncBuilder (class in nengo_dl.op_builders)

evaluate() (nengo_dl.Simulator method)

F

finish() (nengo_dl.utils.ProgressBar method) (nengo_dl.utils.SubProgressBar method) fit() (nengo_dl.Simulator method)

freeze_params() (nengo_dl.Simulator method) full_shape() (nengo_dl.signals.TensorSignal property) function_name() (in module nengo_dl.utils)

G

gather() (nengo_dl.signals.SignalDict method) GenericNeuronBuilder (class in nengo_dl.neuron_builders) GenericProcessBuilder (class in nengo_dl.process_builders) get_converter() (nengo_dl.Converter method) get_history() (nengo_dl.converter.LayerConverter static method) get_input_obj() (nengo_dl.converter.LayerConverter method) get_name() (nengo_dl.Simulator method)

get_nengo_params() (nengo_dl.Simulator method) get_params() (nengo_dl.simulator.SimulationData method) get_setting() (in module nengo_dl.config) get_tensor() (nengo_dl.tensor_graph.TensorGraph method) get_tensor_signal() (nengo_dl.signals.SignalDict method) Glorot (class in nengo_dl.dists) greedy_planner() (in module nengo_dl.graph_optimizer)

H

hamming_sort() (in module nengo_dl.graph_optimizer)

He (class in nengo_dl.dists)

I

input_shape() (nengo_dl.converter.LayerConverter method)

integrator() (in module nengo_dl.benchmarks) IsolateState (class in nengo_dl.callbacks)

L

Layer (class in nengo_dl) LayerConverter (class in nengo_dl.converter) LIFBuilder (class in nengo_dl.neuron_builders) LIFRateBuilder (class in nengo_dl.neuron_builders)

LinearFilterBuilder (class in nengo_dl.process_builders) lmu() (in module nengo_dl.benchmarks) load_params (nengo_dl.Simulator attribute) loss() (nengo_dl.Simulator method) LowpassBuilder (class in nengo_dl.process_builders)

M

mark_signals() (nengo_dl.tensor_graph.TensorGraph method) max_steps() (nengo_dl.utils.ProgressBar property) mergeable() (in module nengo_dl.graph_optimizer) (nengo_dl.builder.OpBuilder static method) (nengo_dl.learning_rule_builders.SimBCMBuilder static method) (nengo_dl.learning_rule_builders.SimOjaBuilder static method) (nengo_dl.learning_rule_builders.SimPESBuilder static method) (nengo_dl.learning_rule_builders.SimVojaBuilder static method) (nengo_dl.neuron_builders.SimNeuronsBuilder static method) (nengo_dl.op_builders.CopyBuilder static method) (nengo_dl.op_builders.DotIncBuilder static method) (nengo_dl.op_builders.ElementwiseIncBuilder static method) (nengo_dl.op_builders.ResetBuilder static method) (nengo_dl.op_builders.SimPyFuncBuilder static method) (nengo_dl.op_builders.SparseDotIncBuilder static method) (nengo_dl.op_builders.TimeUpdateBuilder static method) (nengo_dl.process_builders.SimProcessBuilder static method) (nengo_dl.transform_builders.ConvIncBuilder static method)

minibatched() (nengo_dl.signals.TensorSignal property) mnist() (in module nengo_dl.benchmarks)

N

n_steps() (nengo_dl.Simulator property) name_scope() (nengo_dl.builder.Builder method) nan_mse() (in module nengo_dl.losses) ndim() (nengo_dl.signals.TensorSignal property) nengo_dl.benchmarks (module) nengo_dl.builder (module) nengo_dl.callbacks (module) nengo_dl.config (module) nengo_dl.converter (module) nengo_dl.dists (module) nengo_dl.graph_optimizer (module) nengo_dl.learning_rule_builders (module) nengo_dl.losses (module) nengo_dl.neuron_builders (module)

nengo_dl.neurons (module) nengo_dl.op_builders (module) nengo_dl.process_builders (module) nengo_dl.signals (module) nengo_dl.simulator (module) nengo_dl.tensor_graph (module) nengo_dl.tensor_node (module) nengo_dl.transform_builders (module) nengo_dl.utils (module) NengoBuilder (class in nengo_dl.builder) NengoModel (class in nengo_dl.builder) NengoSummaries (class in nengo_dl.callbacks) noop_order_signals() (in module nengo_dl.graph_optimizer) noop_planner() (in module nengo_dl.graph_optimizer) NullProgressBar (class in nengo_dl.utils)

O

on_epoch_end() (nengo_dl.callbacks.NengoSummaries method) on_predict_batch_end() (nengo_dl.callbacks.IsolateState method) (nengo_dl.callbacks.TensorBoard method) on_predict_begin() (nengo_dl.callbacks.TensorBoard method) on_predict_end() (nengo_dl.callbacks.TensorBoard method) on_test_batch_end() (nengo_dl.callbacks.IsolateState method)

on_train_batch_end() (nengo_dl.callbacks.IsolateState method) on_train_end() (nengo_dl.callbacks.NengoSummaries method) op_constant() (nengo_dl.signals.SignalDict method) OpBuilder (class in nengo_dl.builder) order_signals() (in module nengo_dl.graph_optimizer) output() (nengo_dl.TensorNode property) output_shape() (nengo_dl.converter.LayerConverter method)

P

pes() (in module nengo_dl.benchmarks) predict() (nengo_dl.Simulator method)

predict_on_batch() (nengo_dl.Simulator method) print_op() (in module nengo_dl.utils) ProgressBar (class in nengo_dl.utils)

R

random_network() (in module nengo_dl.benchmarks) rates() (nengo_dl.neurons.SoftLIFRate method) RectifiedLinearBuilder (class in nengo_dl.neuron_builders) register() (nengo_dl.builder.Builder class method) (nengo_dl.Converter class method) Regularize (class in nengo_dl.losses) remove_constant_copies() (in module nengo_dl.graph_optimizer) remove_identity_muls() (in module nengo_dl.graph_optimizer) remove_unmodified_resets() (in module nengo_dl.graph_optimizer) remove_zero_incs() (in module nengo_dl.graph_optimizer)

reset (nengo_dl.Simulator attribute) reset() (nengo_dl.callbacks.IsolateState method) (nengo_dl.signals.SignalDict method) (nengo_dl.signals.TensorSignal method) ResetBuilder (class in nengo_dl.op_builders) ResetInc (class in nengo_dl.op_builders) reshape() (nengo_dl.signals.TensorSignal method) run() (nengo_dl.Simulator method) run_profile() (in module nengo_dl.benchmarks) run_steps() (nengo_dl.Simulator method)

S

sample() (nengo_dl.dists.TruncatedNormal method) (nengo_dl.dists.VarianceScaling method) sanitize_name() (in module nengo_dl.utils) save_params (nengo_dl.Simulator attribute) scatter() (nengo_dl.signals.SignalDict method) seed() (nengo_dl.Simulator property) SigmoidBuilder (class in nengo_dl.neuron_builders) signal_io_dicts() (in module nengo_dl.graph_optimizer) SignalDict (class in nengo_dl.signals) SimBCMBuilder (class in nengo_dl.learning_rule_builders) SimNeuronsBuilder (class in nengo_dl.neuron_builders) SimOjaBuilder (class in nengo_dl.learning_rule_builders) SimPESBuilder (class in nengo_dl.learning_rule_builders) SimProcessBuilder (class in nengo_dl.process_builders) SimPyFuncBuilder (class in nengo_dl.op_builders) SimTensorNode (class in nengo_dl.tensor_node) SimTensorNodeBuilder (class in nengo_dl.tensor_node) SimulationData (class in nengo_dl.simulator) Simulator (class in nengo_dl) SimVojaBuilder (class in nengo_dl.learning_rule_builders)

size_in() (nengo_dl.TensorNode property) size_out() (nengo_dl.TensorNode property) slices() (nengo_dl.signals.TensorSignal property) soft_reset (nengo_dl.Simulator attribute) SoftLIFRate (class in nengo_dl.neurons) SoftLIFRateBuilder (class in nengo_dl.neuron_builders) sort_ops_by_signals() (in module nengo_dl.graph_optimizer) sort_signals_by_ops() (in module nengo_dl.graph_optimizer) sparse_matmul() (in module nengo_dl.op_builders) SparseDotIncBuilder (class in nengo_dl.op_builders) spaun() (in module nengo_dl.benchmarks) SpikingRectifiedLinearBuilder (class in nengo_dl.neuron_builders) start() (nengo_dl.utils.ProgressBar method) step() (nengo_dl.Simulator method) (nengo_dl.utils.NullProgressBar method) (nengo_dl.utils.ProgressBar method) step_math() (nengo_dl.neurons.SoftLIFRate method) sub() (nengo_dl.utils.NullProgressBar method) (nengo_dl.utils.ProgressBar method) SubProgressBar (class in nengo_dl.utils)

T

TensorBoard (class in nengo_dl.callbacks) TensorGraph (class in nengo_dl.tensor_graph) TensorNode (class in nengo_dl) TensorSignal (class in nengo_dl.signals) tf_indices() (nengo_dl.signals.TensorSignal property) tf_indices_nd() (nengo_dl.signals.TensorSignal property) tf_shape() (nengo_dl.signals.TensorSignal property) tf_slice() (nengo_dl.signals.TensorSignal property)

time() (nengo_dl.Simulator property) TimeUpdateBuilder (class in nengo_dl.op_builders) trace_tensors() (nengo_dl.converter.ConvertModel method) train() (nengo_dl.Simulator method) trange() (nengo_dl.Simulator method) transitive_closure_recurse() (in module nengo_dl.graph_optimizer) transitive_planner() (in module nengo_dl.graph_optimizer) tree_planner() (in module nengo_dl.graph_optimizer) TruncatedNormal (class in nengo_dl.dists)

V

VarianceScaling (class in nengo_dl.dists)

verify() (nengo_dl.Converter method)