Index

_

__quant_init__() (aimet_torch.v2.nn.base.BaseQuantizationMixin method) (aimet_torch.v2.nn.FakeQuantizationMixin method) (aimet_torch.v2.nn.QuantizationMixin method)

A

aimet_torch.v2.quantization.affine module aimet_torch.v2.quantization.float module

allow_overwrite() (aimet_torch.v2.quantization.affine.quantizer.QuantizerBase method) apply_gptvq() (in module aimet_torch.gptvq.gptvq_weight.GPTVQ)

B

BaseQuantizationMixin (class in aimet_torch.v2.nn.base)

C

compute_encodings() (aimet_torch.v2.nn.base.BaseQuantizationMixin method) (aimet_torch.v2.nn.FakeQuantizationMixin method) (aimet_torch.v2.nn.QuantizationMixin method) (aimet_torch.v2.quantization.affine.quantizer.QuantizerBase method)

D

dequantize() (aimet_torch.v2.quantization.tensor.DequantizedTensor method) (aimet_torch.v2.quantization.tensor.QuantizedTensor method) (in module aimet_torch.v2.quantization.affine)

DequantizedTensor (class in aimet_torch.v2.quantization.tensor)

E

EncodingAnalyzer (class in aimet_torch.v2.quantization.encoding_analyzer)

F

FakeQuantizationMixin (class in aimet_torch.v2.nn) FloatQuantizeDequantize (class in aimet_torch.v2.quantization.float), [1] forward() (aimet_torch.v2.nn.base.BaseQuantizationMixin method) (aimet_torch.v2.nn.FakeQuantizationMixin method) (aimet_torch.v2.nn.QuantizationMixin method) (aimet_torch.v2.quantization.affine.quantizer.Quantize method) (aimet_torch.v2.quantization.affine.quantizer.QuantizeDequantize method)

from_module() (aimet_torch.v2.nn.FakeQuantizationMixin class method) (aimet_torch.v2.nn.QuantizationMixin class method)

G

get_default_kernel() (aimet_torch.v2.nn.QuantizationMixin class method) get_encoding() (aimet_torch.v2.quantization.affine.quantizer.QuantizerBase method)

get_kernel() (aimet_torch.v2.nn.QuantizationMixin method) get_legacy_encodings() (aimet_torch.v2.quantization.affine.quantizer.QuantizerBase method) GPTVQParameters (class in aimet_torch.gptvq.defs)

I

implements() (aimet_torch.v2.nn.FakeQuantizationMixin class method) (aimet_torch.v2.nn.QuantizationMixin class method) input_quantizers (aimet_torch.v2.nn.base.BaseQuantizationMixin attribute) (aimet_torch.v2.nn.FakeQuantizationMixin attribute) (aimet_torch.v2.nn.QuantizationMixin attribute)

is_initialized() (aimet_torch.v2.quantization.affine.quantizer.QuantizerBase method)

M

MinMaxEncodingAnalyzer (class in aimet_torch.v2.quantization.encoding_analyzer) module aimet_torch.v2.quantization.affine aimet_torch.v2.quantization.float

O

output_quantizers (aimet_torch.v2.nn.base.BaseQuantizationMixin attribute) (aimet_torch.v2.nn.FakeQuantizationMixin attribute) (aimet_torch.v2.nn.QuantizationMixin attribute)

P

param_quantizers (aimet_torch.v2.nn.base.BaseQuantizationMixin attribute) (aimet_torch.v2.nn.FakeQuantizationMixin attribute) (aimet_torch.v2.nn.QuantizationMixin attribute)

PercentileEncodingAnalyzer (class in aimet_torch.v2.quantization.encoding_analyzer)

Q

QuantizationMixin (class in aimet_torch.v2.nn) Quantize (class in aimet_torch.v2.quantization.affine) (class in aimet_torch.v2.quantization.affine.quantizer) quantize() (aimet_torch.v2.quantization.tensor.DequantizedTensor method) (aimet_torch.v2.quantization.tensor.QuantizedTensor method) (in module aimet_torch.v2.quantization.affine) quantize_dequantize() (in module aimet_torch.v2.quantization.affine)

quantized_repr() (aimet_torch.v2.quantization.tensor.DequantizedTensor method) (aimet_torch.v2.quantization.tensor.QuantizedTensor method) QuantizeDequantize (class in aimet_torch.v2.quantization.affine) (class in aimet_torch.v2.quantization.affine.quantizer) (class in aimet_torch.v2.quantization.float), [1] QuantizedTensor (class in aimet_torch.v2.quantization.tensor) QuantizerBase (class in aimet_torch.v2.quantization.affine.quantizer)

R

register_quantization_parameter() (aimet_torch.v2.quantization.affine.quantizer.QuantizerBase method)

S

set_activation_quantizers_to_float() (in module aimet_torch.v2.quantsim.config_utils) set_blockwise_quantization_for_weights() (in module aimet_torch.v2.quantsim.config_utils) set_default_kernel() (aimet_torch.v2.nn.QuantizationMixin class method)

set_grouped_blockwise_quantization_for_weights() (in module aimet_torch.v2.quantsim.config_utils) set_kernel() (aimet_torch.v2.nn.QuantizationMixin method) set_legacy_encodings() (aimet_torch.v2.quantization.affine.quantizer.QuantizerBase method) SqnrEncodingAnalyzer (class in aimet_torch.v2.quantization.encoding_analyzer)

V

visualize_stats() (in module aimet_torch.v2.visualization_tools)