o I h6@sUddlZddlmZmZmZmZddlZddlmm Z ddl mm m Z ddlmm m mZddlmm m mZddlmm m mmZddlmm mZddlmm mmZddlmm mZddlmm mmZddlmm mm Z!ddl"Zddl#m m$Z%ddlm Z ddl&m'Z'm(Z(ddl)m*Z*m+Z+ddl,m-Z-ddl.m/Z/gdZ0e+ej1e*ej2e j3e!j3e j4e!j4e j5e!j5e j6e!j6e j7e!j7e j8e!j8e j9e!j9e j:e!j:e j;e!j;e je!j>e j?e!j?iZ@eAeefeBd <ie+ej1e*ej2e jCejCe jDejDe jEejEe j4ej4e j5ej5e j6ej6e j7ej7e j8ej8e j9ej9e jFejFe j:ej:e j;ej;e jGejGe jHejHe jIejIie jJejJe jKejKe jLejLe jMejMe jNjOjPej3e j3ej3e jQejQe jEejEe jRejRejSejTe jUejUe jVejVe jWejWe jXejXe jYejYe jZejZe j[ej[ie j\ej\e j]ej]e j^ej^ej_ej4ej`ej5ejaej6ejbejWejcejXejdejYejXejXejYejYej\ej\ejeej3ej3ej3ej5ej5ej6ej6ZfeAeefeBd <e j5ej5e j6ej6e j3ej3e jNjOjPej3e j_ej_e j`ej`e jaejae jbejbe jcejce jdejde jXejXe jYejYe j\ej\e jeejeiZgeAeefeBd <e jej>e j\ej\e j;ej;e j:ej:i ZieAeefeBd <e jjhZkeleeBd <e%jmejnjjme%joejnjjoe%jpejnjjpe%jqejnjjqe%jrejnjjre%jsejnjjsiZteAeeeufefeBd<e jve'e jwe'e jxe'e jye(iZzeAeefeBd<e j3e j{jj3iZ|eAeefeBd<e j3e j{jjj3iZ}eAeefeBd<delefddZ~deAeeffddZdeAeeffddZdeAeeffddZdeAeeffddZ  dN)AnyCallableOptionalUnion)nn)+default_fixed_qparams_range_0to1_fake_quant.default_fixed_qparams_range_neg1to1_fake_quant) DeQuantStub QuantStub)get_combined_dict)type_before_parametrizations).DEFAULT_REFERENCE_STATIC_QUANT_MODULE_MAPPINGS$DEFAULT_STATIC_QUANT_MODULE_MAPPINGSDEFAULT_QAT_MODULE_MAPPINGS%DEFAULT_DYNAMIC_QUANT_MODULE_MAPPINGS,DEFAULT_FLOAT_TO_QUANTIZED_OPERATOR_MAPPINGS"DEFAULT_MODULE_TO_ACT_POST_PROCESS+DEFAULT_STATIC_SPARSE_QUANT_MODULE_MAPPINGS,DEFAULT_DYNAMIC_SPARSE_QUANT_MODULE_MAPPINGSno_observer_set(get_default_static_quant_module_mappings2get_default_static_quant_reference_module_mappings*get_embedding_static_quant_module_mappings/get_default_static_sparse_quant_module_mappingsget_static_quant_module_classget_dynamic_quant_module_classget_default_qat_module_mappings!get_embedding_qat_module_mappings)get_default_dynamic_quant_module_mappings0get_default_dynamic_sparse_quant_module_mappings$get_default_qconfig_propagation_list&get_default_compare_output_module_list0get_default_float_to_quantized_operator_mappingsget_quantized_operatorr rrr_INCLUDE_QCONFIG_PROPAGATE_LISTrrrrreturncCstjjtjjh}|S)z8These modules cannot have observers inserted by default.)r quantizableLSTMMultiheadAttention) no_observersr*_/var/www/vscode/kcb/lib/python3.10/site-packages/torch/ao/quantization/quantization_mappings.pyrsrcC ttS)z8Get module mapping for post training static quantization)copydeepcopyrr*r*r*r+r rcCr,)zBGet reference module mapping for post training static quantization)r-r.r r*r*r*r+rr/rcC&tt}tj|tj<tj|tj<|S)z7Get module mapping, including mapping for embedding QAT)r-r.rnnq EmbeddingBagnnqat Embeddingmappingr*r*r+rs   rcCr,)z?Get module mapping for post training static sparse quantization)r-r.rr*r*r*r+rr/rFfloat_module_classadditional_static_quant_mapping is_referencecCsR|duri}t|r tnt|}||d}|dus$Jdt|dt|S)zen Get the statically quantized module class corresponding to the floating point module class NFloating point module class 5 does not have a corresponding quantized module class)r r rgetstrr-r.)r7r8r9 all_mappingsstatic_quant_module_classr*r*r+rs    r additional_dynamic_quant_mappingcCsJ|duri}tt|}||d}|dus Jdt|dt|S)zfn Get the dynamically quantized module class corresponding to the floating point module class Nr:r;)r rr<r=r-r.)r7r@r>dynamic_quant_module_classr*r*r+rs    rcCr,)z:Get default module mapping for quantization aware training)r-r.rr*r*r*r+rr/rcCr0)zGet module mapping for quantization aware training This is includes default values in addition to enabling qat for embeddings. )r-r.rr3r2rr4r5r*r*r+rs   rcCtS)z9Get module mapping for post training dynamic quantization)rr*r*r*r+r*rcCrB)z@Get module mapping for post training dynamic sparse quantization)rr*r*r*r+r/rCrcCs2ttttBttBtB}t|S)z_Get the default list of module types that we'll attach qconfig attribute to in prepare )setrkeysrrr$r-r.)#QCONFIG_PROPAGATE_MODULE_CLASS_LISTr*r*r+r 4s    r cCsVttttBttBttBttBttBtB}t|S)zSGet list of module class types that we will record output in numeric suite ) rDrvaluesrrrEr$r-r.).NUMERIC_SUITE_COMPARE_MODEL_OUTPUT_MODULE_LISTr*r*r+r!As       r!cCr,N)r-r.rr*r*r*r+r"Qs r"float_opcCs,t|d}|dusJdt|d|S)z>Get the quantized operator corresponding to the float operatorNz Operator z) does not have corresponding quantized op)rr<r=)rJ quantized_opr*r*r+r#Xs  r#modulecCstt|dS)zGet the special activation post process for `module`, this has higher priority than the activation post process in `qconfig` e.g. input: torch.nn.Sigmoid output: default_affine_fixed_qparam_fake_quant N)rr<r rLr*r*r+_get_special_act_post_processasrNcCs|jot|tvSrI)trainingtyperrMr*r*r+_has_special_act_post_processmsrQ)NFrI)r-typingrrrrtorch torch.ao.nnaorao_nntorch.ao.nn.intrinsic intrinsicnnitorch.ao.nn.intrinsic.qatqatnniqattorch.ao.nn.intrinsic.quantized quantizednniq'torch.ao.nn.intrinsic.quantized.dynamicdynamicnniqdtorch.ao.nn.qatr3torch.ao.nn.qat.dynamicnnqatdtorch.ao.nn.quantizedr1torch.ao.nn.quantized.dynamicnnqdtorch.ao.nn.quantized.reference referencennqrtorch.ao.nn.sparsetorch.nn.functional functionalF#torch.ao.quantization.fake_quantizerrtorch.ao.quantization.stubsr r torch.ao.quantization.utilsr torch.nn.utils.parametrizer __all__Quantize DeQuantizeLinearConv1dConv2dConv3dConvTranspose1dConvTranspose2dConvTranspose3dr4r2GRUCellLSTMCellRNNCellr'r dict__annotations__ BatchNorm2d BatchNorm3dDropoutELU GroupNorm HardswishInstanceNorm1dInstanceNorm2dInstanceNorm3d LayerNorm LeakyReLUmoduleslinearNonDynamicallyQuantizableLinearReLU6PReLUFloatFunctional QFunctionalBNReLU2dBNReLU3d ConvReLU1d ConvReLU2d ConvReLU3d ConvAdd2d ConvAddReLU2d LinearReLULinearLeakyReLU LinearTanhConvBn1dConvBn2dConvBn3d ConvBnReLU1d ConvBnReLU2d ConvBnReLU3d LinearBn1drrGRUr Sequentialr$rDeluops hardswish instance_norm layer_norm leaky_reludropoutrr= HardsigmoidSigmoidSoftmaxTanhrsparserrrrrrrboolrrrrrrr r!r"r#ModulerNrQr*r*r*r+s $          !"#$%&'()*+,-./01345: