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Probe-based OP Fusion & Reordering #464
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+ add unit tests for probe-based OP fusion
# Conflicts: # data_juicer/core/adapter.py
# Conflicts: # data_juicer/ops/base_op.py
…duce the logic value for each op in fused filter
* modified for text_length_filter
…e subclass of Mapper and Filter
# Conflicts: # data_juicer/ops/filter/image_aspect_ratio_filter.py # data_juicer/ops/filter/image_shape_filter.py # data_juicer/ops/filter/image_size_filter.py # data_juicer/ops/filter/image_text_similarity_filter.py # data_juicer/ops/op_fusion.py
# Conflicts: # data_juicer/ops/op_fusion.py
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As the title says.
Also supports adaptive batch size.