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

_

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

A

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> broadcast() (nengo_dl.signals.TensorSignal method) 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_loop() (nengo_dl.tensor_graph.TensorGraph method) build_optimizer_func() (nengo_dl.tensor_graph.TensorGraph method) build_outputs() (nengo_dl.tensor_graph.TensorGraph method) build_pes() (in module nengo_dl.learning_rule_builders) build_post() (nengo_dl.builder.OpBuilder method) (nengo_dl.process_builders.GenericProcessBuilder method) (nengo_dl.process_builders.SimProcessBuilder method) (nengo_dl.tensor_graph.TensorGraph method) (nengo_dl.tensor_node.SimTensorNodeBuilder 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.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_graph.TensorGraph method) (nengo_dl.tensor_node.SimTensorNodeBuilder method) (nengo_dl.transform_builders.ConvIncBuilder method) build_summaries() (nengo_dl.tensor_graph.TensorGraph method) build_tensor_node() (in module nengo_dl.tensor_node) BuildConfig (class in nengo_dl.builder) Builder (class in nengo_dl.builder)

C

cconv() (in module nengo_dl.benchmarks) check_gradients() (nengo_dl.simulator.Simulator method) close() (nengo_dl.simulator.Simulator method) combine() (nengo_dl.signals.SignalDict method)

configure_settings() (in module nengo_dl.config) constant() (nengo_dl.signals.SignalDict method) 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)

F

find_non_differentiable() (in module nengo_dl.utils) finish() (nengo_dl.utils.ProgressBar method) (nengo_dl.utils.SubProgressBar method)

freeze_params() (nengo_dl.simulator.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_nengo_params() (nengo_dl.simulator.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

indices() (nengo_dl.signals.TensorSignal property)

integrator() (in module nengo_dl.benchmarks)

L

LIFBuilder (class in nengo_dl.neuron_builders) LIFRateBuilder (class in nengo_dl.neuron_builders) LinearFilterBuilder (class in nengo_dl.process_builders)

load_params() (nengo_dl.simulator.Simulator method) loss() (nengo_dl.simulator.Simulator method) LowpassBuilder (class in nengo_dl.process_builders)

M

make_internal() (nengo_dl.signals.SignalDict method) mark_gather() (nengo_dl.signals.SignalDict method) 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.process_builders.SimProcessBuilder static method) (nengo_dl.transform_builders.ConvIncBuilder static method)

minibatch_generator() (in module nengo_dl.utils) minibatched() (nengo_dl.signals.TensorSignal property) mnist() (in module nengo_dl.benchmarks) mse() (in module nengo_dl.objectives)

N

name_scope() (nengo_dl.builder.Builder method) ndim() (nengo_dl.signals.TensorSignal property) nengo_dl.benchmarks (module) nengo_dl.builder (module) nengo_dl.config (module) nengo_dl.dists (module) nengo_dl.graph_optimizer (module) nengo_dl.learning_rule_builders (module) nengo_dl.neuron_builders (module) nengo_dl.neurons (module) nengo_dl.objectives (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) noop_order_signals() (in module nengo_dl.graph_optimizer) noop_planner() (in module nengo_dl.graph_optimizer) NullProgressBar (class in nengo_dl.utils)

O

op_constant() (nengo_dl.signals.SignalDict method) OpBuilder (class in nengo_dl.builder)

order_signals() (in module nengo_dl.graph_optimizer) output() (nengo_dl.tensor_node.TensorNode property)

P

pes() (in module nengo_dl.benchmarks) post_build() (nengo_dl.builder.Builder method)

pre_build() (nengo_dl.builder.Builder 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) Regularize (class in nengo_dl.objectives) 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.Simulator 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.Simulator method) run_batch() (nengo_dl.simulator.Simulator method) run_profile() (in module nengo_dl.benchmarks) run_steps() (nengo_dl.simulator.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.Simulator method) scatter() (nengo_dl.signals.SignalDict method) 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.simulator)

SimVojaBuilder (class in nengo_dl.learning_rule_builders) soft_reset() (nengo_dl.simulator.Simulator method) 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.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

tensor_layer() (in module nengo_dl.tensor_node) TensorGraph (class in nengo_dl.tensor_graph) TensorNode (class in nengo_dl.tensor_node) TensorSignal (class in nengo_dl.signals) tf_indices() (nengo_dl.signals.TensorSignal property) tf_shape() (nengo_dl.signals.TensorSignal property) tf_slice() (nengo_dl.signals.TensorSignal property)

train() (nengo_dl.simulator.Simulator method) training_step() (nengo_dl.simulator.Simulator property) trange() (nengo_dl.simulator.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)

W

with_self() (in module nengo_dl.tensor_graph)