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- 644ec953a7dc_pruning_support
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- 9e89549a08c8_v1_11
- block_mask
- env
- neural_compressor
- adaptor
- adaptor
- keras
- keras_utils
- quantizer
- mxnet
- mxnet_utils
- util
- onnxrt
- ox_utils
- calibration
- operators
- activation
- argmax
- attention
- binary_op
- concat
- conv
- direct_q8
- embed_layernorm
- gather
- gavgpool
- gemm
- lstm
- matmul
- maxpool
- ops
- pad
- pooling
- resize
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- quantizer
- util
- pytorch
- query
- tensorflow
- tf_utils
- graph_converter
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- graph_rewriter
- bf16
- bf16_convert
- generic
- convert_add_to_biasadd
- convert_layout
- convert_leakyrelu
- convert_nan_to_random
- convert_placeholder_to_const
- dequantize_cast_optimizer
- dilated_contraction
- dummy_biasadd
- expanddims_optimizer
- fetch_weight_from_reshape
- fold_batch_norm
- fold_constant
- fuse_biasadd_add
- fuse_column_wise_mul
- fuse_conv_with_math
- fuse_decomposed_bn
- fuse_decomposed_in
- fuse_gelu
- fuse_layer_norm
- fuse_pad_with_conv
- fuse_pad_with_fp32_conv
- fuse_reshape_transpose
- graph_cse_optimizer
- grappler_pass
- insert_print_node
- move_squeeze_after_relu
- pre_optimize
- remove_training_nodes
- rename_batch_norm
- strip_equivalent_nodes
- strip_unused_nodes
- switch_optimizer
- update_enter
- graph_base
- int8
- freeze_fake_quant
- freeze_value
- freeze_value_without_calib
- fuse_conv_redundant_dequantize
- fuse_conv_requantize
- fuse_matmul_redundant_dequantize
- fuse_matmul_requantize
- meta_op_optimizer
- post_hostconst_converter
- post_quantized_op_cse
- rnn_convert
- scale_propagation
- qdq
- insert_qdq_pattern
- merge_duplicated_qdq
- graph_util
- quantize_graph
- qat
- fake_quantize
- quantize_config
- quantize_helper
- quantize_layers
- optimize_layer
- quantize_layer_add
- quantize_layer_base
- quantize_layer_bn
- quantize_wrapper
- qdq
- fuse_qdq_bn
- fuse_qdq_concatv2
- fuse_qdq_conv
- fuse_qdq_deconv
- fuse_qdq_in
- fuse_qdq_matmul
- fuse_qdq_pooling
- optimize_qdq
- quantize_graph_base
- quantize_graph_bn
- quantize_graph_concatv2
- quantize_graph_conv
- quantize_graph_for_intel_cpu
- quantize_graph_matmul
- quantize_graph_pooling
- quantize_graph_common
- transform_graph
- bias_correction
- graph_transform_base
- insert_logging
- rerange_quantized_concat
- util
- torch_utils
- bf16_convert
- hawq_metric
- onnx
- symbolic_trace
- util
- algorithm
- algorithm
- fast_bias_correction
- weight_correction
- benchmark
- conf
- config
- dotdict
- pythonic_config
- config
- contrib
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- data
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- coco_dataset
- dataset
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- dummy_dataset_v2
- imagenet_dataset
- style_transfer_dataset
- filters
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- filter
- transforms
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- imagenet_transform
- postprocess
- tokenization
- transform
- experimental
- benchmark
- common
- criterion
- dataloader
- metric
- model
- optimizer
- postprocess
- torch_utils
- component
- data
- dataloaders
- base_dataloader
- dataloader
- default_dataloader
- fetcher
- mxnet_dataloader
- onnxrt_dataloader
- pytorch_dataloader
- sampler
- tensorflow_dataloader
- datasets
- bert_dataset
- coco_dataset
- dataset
- dummy_dataset
- dummy_dataset_v2
- imagenet_dataset
- style_transfer_dataset
- filters
- coco_filter
- filter
- transforms
- imagenet_transform
- tokenization
- transform
- distillation
- export
- qlinear2qdq
- torch2onnx
- utils
- graph_optimization
- metric
- bleu
- bleu_util
- coco_label_map
- coco_tools
- evaluate_squad
- f1
- metric
- mixed_precision
- model_conversion
- nas
- basic_nas
- dynas
- dynast
- dynas_manager
- dynas_predictor
- dynas_search
- dynas_utils
- supernetwork
- machine_translation
- modules_supernetwork
- transformer_interface
- transformer_supernetwork
- nas
- nas_utils
- search_algorithms
- pruning
- pruning_recipes
- patterns
- pattern
- tile_pattern
- pruning_v2
- pytorch_pruner
- logger
- patterns
- prune_utils
- pruner
- pruning
- scheduler
- quantization
- scheduler
- metric
- bleu
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- coco_label_map
- coco_tools
- evaluate_squad
- f1
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- nets_factory
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- torch_model
- objective
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- logger
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- pruner_legacy
- gradient_sensitivity
- group_lasso
- magnitude
- pattern_lock
- pruner
- pruners
- pruning
- regs
- schedulers
- utils
- quantization
- strategy
- auto_mixed_precision
- basic
- bayesian
- conservative
- exhaustive
- hawq_v2
- mse
- mse_v2
- random
- strategy
- utils
- tuning_sampler
- tuning_space
- tuning_structs
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- constant
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- load_huggingface
- logger
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- config_generator
- benchmark_config_generator
- config_generator
- graph_optimization_config_generator
- mixed_precision_config_generator
- profiling_config_generator
- pruning_config_generator
- quantization_config_generator
- configuration_wizard
- configuration_parser
- get_boundary_nodes
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- example
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- db_operations
- benchmark_api_interface
- dataset_api_interface
- db_operations
- diagnosis_api_interface
- dictionaries_api_interface
- examples_api_interface
- model_api_interface
- optimization_api_interface
- profiling_api_interface
- project_api_interface
- params_interfaces
- utils
- diagnosis
- diagnosis
- factory
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- op_details
- op_entry
- tensorflow_diagnosis
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- file_browser
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- graph
- attribute
- collapser
- edge
- graph
- graph_reader
- node
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- onnxrt_reader
- tensorflow_reader
- jobs_management
- jobs_control_queue
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- request
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- model
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- model_type_getter
- onnxrt
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- utils
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- download_config
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- downloader
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- optimization
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- optimize_model
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- optimize_model
- neural_coder_optimization
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- optimization
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- optimize_model
- pruning
- tune
- tune_model
- tuning
- tuning_history
- profiling
- execute_profiling
- factory
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- templates
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- workdir
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- api-documentation
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- torch_utils
- basic_api
- common
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- autoapi
- 644ec953a7dc_pruning_support
- 6ece06672ed3_v1_14
- 6f0d0f71d92e_v1_13
- 9e89549a08c8_v1_11
- block_mask
- env
- neural_compressor
- adaptor
- adaptor
- keras
- keras_utils
- quantizer
- mxnet
- mxnet_utils
- util
- onnxrt
- ox_utils
- calibration
- operators
- activation
- argmax
- attention
- binary_op
- concat
- conv
- direct_q8
- embed_layernorm
- gather
- gavgpool
- gemm
- lstm
- matmul
- maxpool
- ops
- pad
- pooling
- resize
- split
- quantizer
- util
- pytorch
- query
- tensorflow
- tf_utils
- graph_converter
- graph_converter_without_calib
- graph_rewriter
- bf16
- bf16_convert
- generic
- convert_add_to_biasadd
- convert_layout
- convert_leakyrelu
- convert_nan_to_random
- convert_placeholder_to_const
- dequantize_cast_optimizer
- dilated_contraction
- dummy_biasadd
- expanddims_optimizer
- fetch_weight_from_reshape
- fold_batch_norm
- fold_constant
- fuse_biasadd_add
- fuse_column_wise_mul
- fuse_conv_with_math
- fuse_decomposed_bn
- fuse_decomposed_in
- fuse_gelu
- fuse_layer_norm
- fuse_pad_with_conv
- fuse_pad_with_fp32_conv
- fuse_reshape_transpose
- graph_cse_optimizer
- grappler_pass
- insert_print_node
- move_squeeze_after_relu
- pre_optimize
- remove_training_nodes
- rename_batch_norm
- strip_equivalent_nodes
- strip_unused_nodes
- switch_optimizer
- update_enter
- graph_base
- int8
- freeze_fake_quant
- freeze_value
- freeze_value_without_calib
- fuse_conv_redundant_dequantize
- fuse_conv_requantize
- fuse_matmul_redundant_dequantize
- fuse_matmul_requantize
- meta_op_optimizer
- post_hostconst_converter
- post_quantized_op_cse
- rnn_convert
- scale_propagation
- qdq
- insert_qdq_pattern
- merge_duplicated_qdq
- graph_util
- quantize_graph
- qat
- fake_quantize
- quantize_config
- quantize_helper
- quantize_layers
- optimize_layer
- quantize_layer_add
- quantize_layer_base
- quantize_layer_bn
- quantize_wrapper
- qdq
- fuse_qdq_bn
- fuse_qdq_concatv2
- fuse_qdq_conv
- fuse_qdq_deconv
- fuse_qdq_in
- fuse_qdq_matmul
- fuse_qdq_pooling
- optimize_qdq
- quantize_graph_base
- quantize_graph_bn
- quantize_graph_concatv2
- quantize_graph_conv
- quantize_graph_for_intel_cpu
- quantize_graph_matmul
- quantize_graph_pooling
- quantize_graph_common
- transform_graph
- bias_correction
- graph_transform_base
- insert_logging
- rerange_quantized_concat
- util
- torch_utils
- bf16_convert
- hawq_metric
- onnx
- symbolic_trace
- util
- algorithm
- algorithm
- fast_bias_correction
- weight_correction
- benchmark
- conf
- config
- dotdict
- pythonic_config
- config
- contrib
- strategy
- sigopt
- tpe
- data
- dataloaders
- base_dataloader
- dataloader
- default_dataloader
- fetcher
- mxnet_dataloader
- onnxrt_dataloader
- pytorch_dataloader
- sampler
- tensorflow_dataloader
- datasets
- bert_dataset
- coco_dataset
- dataset
- dummy_dataset
- dummy_dataset_v2
- imagenet_dataset
- style_transfer_dataset
- filters
- coco_filter
- filter
- transforms
- coco_transform
- imagenet_transform
- postprocess
- tokenization
- transform
- experimental
- benchmark
- common
- criterion
- dataloader
- metric
- model
- optimizer
- postprocess
- torch_utils
- component
- data
- dataloaders
- base_dataloader
- dataloader
- default_dataloader
- fetcher
- mxnet_dataloader
- onnxrt_dataloader
- pytorch_dataloader
- sampler
- tensorflow_dataloader
- datasets
- bert_dataset
- coco_dataset
- dataset
- dummy_dataset
- dummy_dataset_v2
- imagenet_dataset
- style_transfer_dataset
- filters
- coco_filter
- filter
- transforms
- imagenet_transform
- tokenization
- transform
- distillation
- export
- qlinear2qdq
- torch2onnx
- utils
- graph_optimization
- metric
- bleu
- bleu_util
- coco_label_map
- coco_tools
- evaluate_squad
- f1
- metric
- mixed_precision
- model_conversion
- nas
- basic_nas
- dynas
- dynast
- dynas_manager
- dynas_predictor
- dynas_search
- dynas_utils
- supernetwork
- machine_translation
- modules_supernetwork
- transformer_interface
- transformer_supernetwork
- nas
- nas_utils
- search_algorithms
- pruning
- pruning_recipes
- patterns
- pattern
- tile_pattern
- pruning_v2
- pytorch_pruner
- logger
- patterns
- prune_utils
- pruner
- pruning
- scheduler
- quantization
- scheduler
- metric
- bleu
- bleu_util
- coco_label_map
- coco_tools
- evaluate_squad
- f1
- metric
- mix_precision
- model
- base_model
- keras_model
- model
- mxnet_model
- nets_factory
- onnx_model
- tensorflow_model
- torch_model
- objective
- pruner
- criteria
- logger
- patterns
- pruner_legacy
- gradient_sensitivity
- group_lasso
- magnitude
- pattern_lock
- pruner
- pruners
- pruning
- regs
- schedulers
- utils
- quantization
- strategy
- auto_mixed_precision
- basic
- bayesian
- conservative
- exhaustive
- hawq_v2
- mse
- mse_v2
- random
- strategy
- utils
- tuning_sampler
- tuning_space
- tuning_structs
- training
- utils
- collect_layer_histogram
- constant
- create_obj_from_config
- kl_divergence
- load_huggingface
- logger
- options
- pytorch
- utility
- ux
- components
- benchmark
- benchmark
- benchmark_model
- execute_benchmark
- config_generator
- benchmark_config_generator
- config_generator
- graph_optimization_config_generator
- mixed_precision_config_generator
- profiling_config_generator
- pruning_config_generator
- quantization_config_generator
- configuration_wizard
- configuration_parser
- get_boundary_nodes
- get_configuration
- params_feeder
- pruning_config_parser
- db_manager
- db_manager
- db_models
- benchmark
- benchmark_result
- dataloader
- dataset
- domain
- domain_flavour
- example
- framework
- metric
- model
- optimization
- optimization_type
- precision
- profiling
- profiling_result
- project
- pruning_details
- transform
- tuning_details
- tuning_history
- db_operations
- benchmark_api_interface
- dataset_api_interface
- db_operations
- diagnosis_api_interface
- dictionaries_api_interface
- examples_api_interface
- model_api_interface
- optimization_api_interface
- profiling_api_interface
- project_api_interface
- params_interfaces
- utils
- diagnosis
- diagnosis
- factory
- onnx_diagnosis
- onnxrt_diagnosis
- op_details
- op_entry
- tensorflow_diagnosis
- tensorflow_diagnosis
- file_browser
- file_browser
- graph
- attribute
- collapser
- edge
- graph
- graph_reader
- node
- reader
- onnxrt_reader
- tensorflow_reader
- jobs_management
- jobs_control_queue
- jobs_manager
- request
- manage_workspace
- model
- domain
- model
- model_type_getter
- onnxrt
- model
- pytorch
- model
- repository
- shape
- tensorflow
- frozen_pb
- keras
- meta_graph
- model
- saved_model
- utils
- model_zoo
- download_config
- download_model
- downloader
- list_models
- names_mapper
- names_mapper
- optimization
- execute_optimization
- factory
- graph_optimizer
- graph_optimization
- optimize_model
- mixed_precision
- mixed_precision
- optimize_model
- neural_coder_optimization
- optimize_model
- optimization
- pruning
- optimize_model
- pruning
- tune
- tune_model
- tuning
- tuning_history
- profiling
- execute_profiling
- factory
- profile_model
- profiler
- profiling
- tensorflow_profiler
- factory
- profiler
- utils
- inc_bench
- utils
- consts
- environment
- exceptions
- executor
- expiring_dict
- github_info
- hw_info
- json_serializer
- logger
- parser
- proc
- processes
- singleton
- status_updates
- templates
- metric
- workdir
- utils
- workload
- config
- dataloader
- evaluation
- graph_optimization
- mixed_precision
- model
- pruning
- quantization
- tuning
- yaml_utils
- web
- communication
- configuration
- exceptions
- router
- server
- service
- benchmark
- history_snapshot_parser
- model
- optimization
- profiling
- request_data_processor
- response_generator
- workload
- version
- neural_coder
- docs
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