experimental_experiment.xoptim.patterns_ort

modules

• experimental_experiment.xoptim.patterns_ort.activation
• experimental_experiment.xoptim.patterns_ort.activation_grad
• experimental_experiment.xoptim.patterns_ort.fused_matmul
• experimental_experiment.xoptim.patterns_ort.gather_grad
• experimental_experiment.xoptim.patterns_ort.simplified_layer_normalization

experimental_experiment.xoptim.patterns_ort.get_onnxruntime_patterns(verbose: int = 0) → List[PatternOptimization]

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

<<<

import pprint
from experimental_experiment.xoptim.patterns_ort import get_onnxruntime_patterns

pprint.pprint(get_onnxruntime_patterns())

>>>

    [BiasGeluPattern(),
     GeluOrtPattern(),
     GeluErfPattern(),
     FastGeluPattern(),
     FusedMatMulPattern(),
     FusedMatMulx2Pattern(),
     FusedMatMulDivPattern(),
     FusedMatMulTransposePattern(),
     SimplifiedLayerNormalizationPattern(),
     SoftmaxGradPattern()]