Index

_

_chip (xbtorch.deployment.base.GenericAccelerator attribute)

_global_dict (xbtorch.XBParams attribute) _wage_defaults (xbtorch.XBParams attribute)

A

Adam (class in xbtorch.optim) adc_invert_voltage() (xbtorch.deployment.base.Daffodil method) adc_predict_voltage() (xbtorch.deployment.base.Daffodil method) ADC_quantize() (xbtorch.deployment.base.Daffodil method) (xbtorch.deployment.base.GenericAccelerator method) (xbtorch.deployment.base.SimpleFixedPoint method)

add_collaborative_logistic_classifiers() (in module xbtorch.deployment.correction) AnalyticalDevice (class in xbtorch.devices.base) AnalyticalIdeal (class in xbtorch.devices.presets) AnalyticalReal (class in xbtorch.devices.presets)

B

backward() (xbtorch.quant.quantizers.FixedPointQuantF static method)

C

C() (in module xbtorch.quant.wage_qtorch) check_overlap() (in module xbtorch.deployment.mapping) classifiers (xbtorch.deployment.correction.CollaborativeLogisticClassifier attribute) CollaborativeLogisticClassifier (class in xbtorch.deployment.correction) CollaborativeLoss (class in xbtorch.deployment.correction)

compute_error() (in module xbtorch.deployment.metrics) compute_grid_loss() (in module xbtorch.loss.landscapes) conductance_to_pulse() (xbtorch.devices.base.AnalyticalDevice method) conductance_to_weight() (xbtorch.devices.base.GenericDevice method) construct_cdf() (in module xbtorch.devices.utils) Conv2d (class in xbtorch.nn.nn)

D

dac_calcvout() (xbtorch.deployment.base.Daffodil method) dac_invertvout() (xbtorch.deployment.base.Daffodil method) DAC_quantize() (xbtorch.deployment.base.Daffodil method) (xbtorch.deployment.base.GenericAccelerator method) (xbtorch.deployment.base.SimpleFixedPoint method) Daffodil (class in xbtorch.deployment.base) data_dir (xbtorch.devices.base.AnalyticalDevice attribute) (xbtorch.devices.base.TabularDevice attribute)

decompose() (xbtorch.decomposition.base.FullOuterProduct method) (xbtorch.decomposition.base.GenericDecomposition method) (xbtorch.decomposition.nmf.NMF method) (xbtorch.decomposition.sbpca.SBPCA method) (xbtorch.decomposition.svd.FullSVD method) (xbtorch.decomposition.svd.TruncatedSVD method) defect_map (xbtorch.deployment.base.GenericAccelerator attribute) dnn_favorable_searching_code() (in module xbtorch.deployment.correction)

E

encode_LEA1() (in module xbtorch.deployment.encoding) encode_LEA2() (in module xbtorch.deployment.encoding)

encode_MAO() (in module xbtorch.deployment.encoding) encode_simple_binary() (in module xbtorch.deployment.encoding) error_mapping() (in module xbtorch.deployment.metrics)

F

find_nearest() (in module xbtorch.devices.utils) find_nearest_2d() (in module xbtorch.devices.utils) fixed_point_quantize_wrapper() (in module xbtorch.quant.quantizers) FixedPointQuantF (class in xbtorch.quant.quantizers) forward() (xbtorch.deployment.correction.CollaborativeLogisticClassifier method) (xbtorch.deployment.correction.CollaborativeLoss method) (xbtorch.nn.nn.Conv2d method) (xbtorch.nn.nn.Linear method) (xbtorch.nn.nn.LSTM method) (xbtorch.nn.nn.RNN method) (xbtorch.nn.nn.SelectLastStep method) (xbtorch.quant.quantizers.FixedPointQuantF static method) (xbtorch.quant.wage_qtorch.WAGEQuantizer method)

FullOuterProduct (class in xbtorch.decomposition.base) FullSVD (class in xbtorch.decomposition.svd)

G

gen_defect_map() (xbtorch.deployment.base.GenericAccelerator method) GenericAccelerator (class in xbtorch.deployment.base) GenericDecomposition (class in xbtorch.decomposition.base) GenericDevice (class in xbtorch.devices.base) get_kriging_profiles() (in module xbtorch.devices.utils)

get_param_A() (xbtorch.devices.base.AnalyticalDevice method) get_param_B() (xbtorch.devices.base.AnalyticalDevice method) get_range_fixed_point() (in module xbtorch.quant.quantizers) get_var() (xbtorch.XBParams method) get_xb_size() (xbtorch.deployment.base.GenericAccelerator method) gradient_to_pulse() (xbtorch.devices.base.GenericDevice method)

I

info (xbtorch.decomposition.nmf.NMF attribute) (xbtorch.decomposition.sbpca.SBPCA attribute)

initialize() (in module xbtorch) (xbtorch.XBParams method) initialize_chip() (xbtorch.deployment.base.GenericAccelerator method)

L

Linear (class in xbtorch.nn.nn)

LSTM (class in xbtorch.nn.nn)

M

map_random() (in module xbtorch.deployment.mapping) map_weights_to_array() (xbtorch.deployment.base.GenericAccelerator method) module xbtorch xbtorch.decomposition xbtorch.decomposition.base xbtorch.decomposition.nmf xbtorch.decomposition.sbpca xbtorch.decomposition.svd xbtorch.deployment xbtorch.deployment.base xbtorch.deployment.committee xbtorch.deployment.correction xbtorch.deployment.encoding xbtorch.deployment.mapping xbtorch.deployment.metrics xbtorch.devices xbtorch.devices.base xbtorch.devices.presets xbtorch.devices.utils xbtorch.loss xbtorch.loss.landscapes xbtorch.nn xbtorch.nn.nn xbtorch.nn.utils xbtorch.optim xbtorch.patches xbtorch.patches.decorators xbtorch.patches.model xbtorch.quant xbtorch.quant.quantizers xbtorch.quant.wage_init xbtorch.quant.wage_qtorch

N

name (xbtorch.deployment.base.GenericAccelerator attribute)

NMF (class in xbtorch.decomposition.nmf)

P

plot_array() (xbtorch.deployment.base.GenericAccelerator method)

print_num_unique_values() (in module xbtorch.nn.utils) pulse_to_conductance() (xbtorch.devices.base.AnalyticalDevice method)

Q

QG() (in module xbtorch.quant.wage_qtorch)

quantize_to_nearest() (in module xbtorch.deployment.encoding) QW() (in module xbtorch.quant.wage_qtorch)

R

read_chip() (xbtorch.deployment.base.GenericAccelerator method) reduction_pca() (in module xbtorch.loss.landscapes) reduction_random() (in module xbtorch.loss.landscapes)

reg_lambda (xbtorch.deployment.correction.CollaborativeLoss attribute) reset_cached_params() (xbtorch.devices.base.AnalyticalDevice method) (xbtorch.devices.base.GenericDevice method) RNN (class in xbtorch.nn.nn)

S

SBPCA (class in xbtorch.decomposition.sbpca) scale_limit() (in module xbtorch.quant.wage_init) SelectLastStep (class in xbtorch.nn.nn) set_c2c_var() (xbtorch.devices.base.AnalyticalDevice method) set_d2d_var() (xbtorch.devices.base.AnalyticalDevice method) set_nonlinearity_reset() (xbtorch.devices.base.AnalyticalDevice method) set_nonlinearity_set() (xbtorch.devices.base.AnalyticalDevice method) set_var() (xbtorch.XBParams method) SGD (class in xbtorch.optim)

shift() (in module xbtorch.quant.wage_qtorch) significance (xbtorch.deployment.correction.CollaborativeLogisticClassifier attribute) SimpleFixedPoint (class in xbtorch.deployment.base) SSE() (in module xbtorch.nn.nn) step() (xbtorch.optim.Adam method) (xbtorch.optim.SGD method) stochastic_round() (in module xbtorch.devices.utils) sweep_conductance_full() (in module xbtorch.devices.utils) synthesize_G_dG_dataset() (in module xbtorch.devices.utils)

T

TabularAnalyticalReal (class in xbtorch.devices.presets) TabularCompactFeFETKriging (class in xbtorch.devices.presets) TabularDevice (class in xbtorch.devices.base) TabularExperimentalFemFETKriging (class in xbtorch.devices.presets) test_classifier() (in module xbtorch.nn.utils)

test_collaborative() (in module xbtorch.deployment.correction) test_committee() (in module xbtorch.deployment.committee) train_classifier() (in module xbtorch.nn.utils) train_collaborative() (in module xbtorch.deployment.correction) truncated_normal_() (in module xbtorch.quant.wage_init) TruncatedSVD (class in xbtorch.decomposition.svd)

V

variable_length_decode() (in module xbtorch.deployment.correction)

W

wage_init_() (in module xbtorch.quant.wage_init) WAGEQuantizer (class in xbtorch.quant.wage_qtorch) weight_to_conductance() (xbtorch.devices.base.GenericDevice method)

write() (xbtorch.devices.base.AnalyticalDevice method) (xbtorch.devices.base.GenericDevice method) (xbtorch.devices.base.TabularDevice method)

X

XBParams (class in xbtorch) xbtorch module xbtorch.decomposition module xbtorch.decomposition.base module xbtorch.decomposition.nmf module xbtorch.decomposition.sbpca module xbtorch.decomposition.svd module xbtorch.deployment module xbtorch.deployment.base module xbtorch.deployment.committee module xbtorch.deployment.correction module xbtorch.deployment.encoding module xbtorch.deployment.mapping module xbtorch.deployment.metrics module xbtorch.devices module xbtorch.devices.base module xbtorch.devices.presets module

xbtorch.devices.utils module xbtorch.loss module xbtorch.loss.landscapes module xbtorch.nn module xbtorch.nn.nn module xbtorch.nn.utils module xbtorch.optim module xbtorch.patches module xbtorch.patches.decorators module xbtorch.patches.model module xbtorch.quant module xbtorch.quant.quantizers module xbtorch.quant.wage_init module xbtorch.quant.wage_qtorch module xbtorch_layer() (in module xbtorch.patches.decorators) xbtorch_model() (in module xbtorch.patches.model) xbtorch_optimizer() (in module xbtorch.patches.decorators)