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AI Model Efficiency Toolkit Documentation: ver tf-torch-cpu_1.16.2
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B
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C
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D
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E
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F
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P
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Q
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R
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T
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W
A
ActivationType (class in aimet_common.defs)
AdaroundParameters (class in aimet_tensorflow.adaround.adaround_weight)
(class in aimet_torch.adaround.adaround_weight)
analytical_bias_correction_per_layer() (in module aimet_tensorflow.bias_correction.BiasCorrection)
apply_adaround() (in module aimet_tensorflow.adaround.adaround_weight.Adaround)
(in module aimet_torch.adaround.adaround_weight.Adaround)
auto (aimet_tensorflow.defs.ChannelPruningParameters.Mode attribute)
(aimet_tensorflow.defs.SpatialSvdParameters.Mode attribute)
(aimet_torch.defs.ChannelPruningParameters.Mode attribute)
(aimet_torch.defs.SpatialSvdParameters.Mode attribute)
(aimet_torch.defs.WeightSvdParameters.Mode attribute)
B
bias_correction_per_layer() (in module aimet_tensorflow.bias_correction.BiasCorrection)
bias_fold() (in module aimet_tensorflow.cross_layer_equalization.HighBiasFold)
,
[1]
(in module aimet_torch.cross_layer_equalization.HighBiasFold)
,
[1]
BiasCorrectionParams() (in module aimet_tensorflow.bias_correction)
C
channel_pruning (aimet_common.defs.CompressionScheme attribute)
ChannelPruningParameters (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
ChannelPruningParameters.AutoModeParams (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
ChannelPruningParameters.ManualModeParams (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
ChannelPruningParameters.Mode (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
ClsSetInfo (class in aimet_tensorflow.cross_layer_equalization)
(class in aimet_torch.cross_layer_equalization)
ClsSetInfo.ClsSetLayerPairInfo (class in aimet_tensorflow.cross_layer_equalization)
(class in aimet_torch.cross_layer_equalization)
compress_model() (aimet_tensorflow.compress.ModelCompressor static method)
(aimet_torch.compress.ModelCompressor static method)
compress_net() (aimet_tensorflow.svd.Svd method)
CompressionScheme (class in aimet_common.defs)
compute_encodings() (aimet_tensorflow.quantsim.QuantizationSimModel method)
(aimet_torch.quantsim.QuantizationSimModel method)
ConvBnInfoType (class in aimet_common.bias_correction)
correct_bias() (in module aimet_tensorflow.bias_correction.BiasCorrection)
(in module aimet_torch.bias_correction)
CostMetric (class in aimet_common.defs)
D
display_comp_ratio_plot() (aimet_torch.visualize_serialized_data.VisualizeCompression method)
display_eval_scores() (aimet_torch.visualize_serialized_data.VisualizeCompression method)
E
equalize_model() (in module aimet_tensorflow.cross_layer_equalization)
(in module aimet_torch.cross_layer_equalization)
export() (aimet_tensorflow.quantsim.QuantizationSimModel method)
(aimet_torch.quantsim.QuantizationSimModel method)
F
fold_all_batch_norms() (in module aimet_tensorflow.batch_norm_fold)
(in module aimet_torch.batch_norm_fold)
fold_given_batch_norms() (in module aimet_tensorflow.batch_norm_fold)
(in module aimet_torch.batch_norm_fold)
G
GreedySelectionParameters (class in aimet_common.defs)
L
load_checkpoint() (aimet_torch.quantsim method)
load_keras_model_multi_gpu() (in module aimet_tensorflow.utils.convert_tf_sess_to_keras)
load_tf_sess_variables_to_keras_single_gpu() (in module aimet_tensorflow.utils.convert_tf_sess_to_keras)
M
mac (aimet_common.defs.CostMetric attribute)
manual (aimet_tensorflow.defs.ChannelPruningParameters.Mode attribute)
(aimet_tensorflow.defs.SpatialSvdParameters.Mode attribute)
(aimet_torch.defs.ChannelPruningParameters.Mode attribute)
(aimet_torch.defs.SpatialSvdParameters.Mode attribute)
(aimet_torch.defs.WeightSvdParameters.Mode attribute)
map_cls_sets_to_new_session() (aimet_tensorflow.cross_layer_equalization.ClsSetInfo static method)
memory (aimet_common.defs.CostMetric attribute)
ModelCompressor (class in aimet_tensorflow.compress)
(class in aimet_torch.compress)
ModuleCompRatioPair (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
N
no_activation (aimet_common.defs.ActivationType attribute)
P
post_training_tf (aimet_common.defs.QuantScheme attribute)
,
[1]
,
[2]
post_training_tf_enhanced (aimet_common.defs.QuantScheme attribute)
,
[1]
,
[2]
Q
QuantizationSimModel (class in aimet_tensorflow.quantsim)
(class in aimet_torch.quantsim)
QuantParams (class in aimet_tensorflow.bias_correction)
(class in aimet_torch.quantsim)
QuantScheme (class in aimet_common.defs)
,
[1]
,
[2]
R
relu (aimet_common.defs.ActivationType attribute)
relu6 (aimet_common.defs.ActivationType attribute)
S
save_as_tf_module_multi_gpu() (in module aimet_tensorflow.utils.convert_tf_sess_to_keras)
save_checkpoint() (aimet_torch.quantsim method)
save_tf_session_single_gpu() (in module aimet_tensorflow.utils.convert_tf_sess_to_keras)
scale_cls_sets() (in module aimet_tensorflow.cross_layer_equalization.CrossLayerScaling)
(in module aimet_torch.cross_layer_equalization.CrossLayerScaling)
scale_model() (in module aimet_tensorflow.cross_layer_equalization.CrossLayerScaling)
(in module aimet_torch.cross_layer_equalization.CrossLayerScaling)
spatial_svd (aimet_common.defs.CompressionScheme attribute)
SpatialSvdParameters (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
SpatialSvdParameters.AutoModeParams (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
SpatialSvdParameters.ManualModeParams (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
SpatialSvdParameters.Mode (class in aimet_tensorflow.defs)
(class in aimet_torch.defs)
Svd (class in aimet_tensorflow.svd)
T
TarRankSelectionParameters (class in aimet_torch.defs)
V
visualize_changes_after_optimization() (in module aimet_torch.visualize_model)
visualize_relative_weight_ranges_single_layer() (in module aimet_tensorflow.plotting_utils)
visualize_relative_weight_ranges_to_identify_problematic_layers() (in module aimet_torch.visualize_model)
visualize_weight_ranges() (in module aimet_torch.visualize_model)
visualize_weight_ranges_single_layer() (in module aimet_tensorflow.plotting_utils)
VisualizeCompression (class in aimet_torch.visualize_serialized_data)
W
weight_svd (aimet_common.defs.CompressionScheme attribute)
WeightSvdParameters (class in aimet_torch.defs)
WeightSvdParameters.AutoModeParams (class in aimet_torch.defs)
WeightSvdParameters.ManualModeParams (class in aimet_torch.defs)
WeightSvdParameters.Mode (class in aimet_torch.defs)
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AI Model Efficiency Toolkit Documentation: ver tf-torch-cpu_1.16.2
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