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pattern_conversion
pattern_conversion
 
 
README.md
README.md
 
 
cast_all_constant_to_floating.cpp
cast_all_constant_to_floating.cpp
 
 
cast_all_constant_to_floating.h
cast_all_constant_to_floating.h
 
 
constant_fold.cpp
constant_fold.cpp
 
 
constant_fold.h
constant_fold.h
 
 
constant_map.cpp
constant_map.cpp
 
 
constant_map.h
constant_map.h
 
 
deduplicate_initializers.cpp
deduplicate_initializers.cpp
 
 
deduplicate_initializers.h
deduplicate_initializers.h
 
 
eliminate_unused_items.cpp
eliminate_unused_items.cpp
 
 
eliminate_unused_items.h
eliminate_unused_items.h
 
 
eval_peephole.cpp
eval_peephole.cpp
 
 
eval_peephole.h
eval_peephole.h
 
 
fixup_onnx_controlflow.cpp
fixup_onnx_controlflow.cpp
 
 
fixup_onnx_controlflow.h
fixup_onnx_controlflow.h
 
 
function_extraction.cpp
function_extraction.cpp
 
 
function_extraction.h
function_extraction.h
 
 
function_substitution.cpp
function_substitution.cpp
 
 
function_substitution.h
function_substitution.h
 
 
helper.cpp
helper.cpp
 
 
helper.h
helper.h
 
 
list_model_parameters.cpp
list_model_parameters.cpp
 
 
list_model_parameters.h
list_model_parameters.h
 
 
naming.cpp
naming.cpp
 
 
naming.h
naming.h
 
 
onnx_log.cpp
onnx_log.cpp
 
 
onnx_log.h
onnx_log.h
 
 
peephole.cpp
peephole.cpp
 
 
peephole.h
peephole.h
 
 
prepare_division_for_onnx.cpp
prepare_division_for_onnx.cpp
 
 
prepare_division_for_onnx.h
prepare_division_for_onnx.h
 
 
preprocess_for_onnx.cpp
preprocess_for_onnx.cpp
 
 
preprocess_for_onnx.h
preprocess_for_onnx.h
 
 
remove_inplace_ops_for_onnx.cpp
remove_inplace_ops_for_onnx.cpp
 
 
remove_inplace_ops_for_onnx.h
remove_inplace_ops_for_onnx.h
 
 
scalar_type_analysis.cpp
scalar_type_analysis.cpp
 
 
scalar_type_analysis.h
scalar_type_analysis.h
 
 
shape_type_inference.cpp
shape_type_inference.cpp
 
 
shape_type_inference.h
shape_type_inference.h
 
 
unpack_quantized_weights.cpp
unpack_quantized_weights.cpp
 
 
unpack_quantized_weights.h
unpack_quantized_weights.h
 
 

README.md

The optimization passes in this directory work exclusively on ONNX-style IRs, e.g., IRs that have had ToONNX applied to them. ONNX defines operators differently from ATen, so there are different opportunities for peephole optimization.