experimental_experiment.xoptim.patterns_exp

modules

• experimental_experiment.xoptim.patterns_exp.binary_operators
• experimental_experiment.xoptim.patterns_exp.constant_of_shape_scatter_nd
• experimental_experiment.xoptim.patterns_exp.constants
• experimental_experiment.xoptim.patterns_exp.simple_rotary
• experimental_experiment.xoptim.patterns_exp.unary_operators
• experimental_experiment.xoptim.patterns_exp.where_replace

experimental_experiment.xoptim.patterns_exp.get_experimental_patterns(verbose: int = 0) → List[PatternOptimization]

Returns a default list of optimization patterns for experimentation. It is equal to the following list.

<<<

import pprint
from experimental_experiment.xoptim.patterns_exp import (
    get_experimental_patterns,
)

pprint.pprint(get_experimental_patterns())

>>>

    [AddAddMulMulPattern(),
     AddAddMulMulBroadcastPattern(),
     AddMulPattern(),
     AddMulBroadcastPattern(),
     AddMulSharedInputPattern(),
     AddMulSharedInputBroadcastPattern(),
     AddMulTransposePattern(),
     ConstantOfShapeScatterNDPattern(),
     MaskedShapeScatterNDPattern(),
     MulSigmoidPattern(),
     NegXplus1Pattern(),
     ReplaceZeroPattern(),
     SimpleRotaryPattern(),
     SubMulPattern(),
     SubMulBroadcastPattern(),
     TransposeCastPattern(),
     TriMatrixPattern()]