@@ -191,12 +191,25 @@ def _entry(model_name, paper_model_name, paper_arxiv_id, batch_size=BATCH_SIZE,
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model_desc = 'Ported from official Google AI Tensorflow weights' ),
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_entry ('tf_efficientnet_cc_b1_8e' , 'EfficientNet-CondConv-B1 8 experts' , '1904.04971' ,
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model_desc = 'Ported from official Google AI Tensorflow weights' ),
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+
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_entry ('tf_efficientnet_es' , 'EfficientNet-EdgeTPU-S' , '1905.11946' ,
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model_desc = 'Ported from official Google AI Tensorflow weights' ),
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_entry ('tf_efficientnet_em' , 'EfficientNet-EdgeTPU-M' , '1905.11946' ,
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model_desc = 'Ported from official Google AI Tensorflow weights' ),
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_entry ('tf_efficientnet_el' , 'EfficientNet-EdgeTPU-L' , '1905.11946' , batch_size = BATCH_SIZE // 2 ,
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model_desc = 'Ported from official Google AI Tensorflow weights' ),
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+
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+ _entry ('tf_efficientnet_lite0' , 'EfficientNet-Lite0' , '1905.11946' ,
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+ model_desc = 'Ported from official Google AI Tensorflow weights' ),
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+ _entry ('tf_efficientnet_lite1' , 'EfficientNet-Lite1' , '1905.11946' ,
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+ model_desc = 'Ported from official Google AI Tensorflow weights' ),
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+ _entry ('tf_efficientnet_lite2' , 'EfficientNet-Lite2' , '1905.11946' ,
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+ model_desc = 'Ported from official Google AI Tensorflow weights' ),
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+ _entry ('tf_efficientnet_lite3' , 'EfficientNet-Lite3' , '1905.11946' , batch_size = BATCH_SIZE // 2 ,
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+ model_desc = 'Ported from official Google AI Tensorflow weights' ),
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+ _entry ('tf_efficientnet_lite4' , 'EfficientNet-Lite4' , '1905.11946' , batch_size = BATCH_SIZE // 2 ,
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+ model_desc = 'Ported from official Google AI Tensorflow weights' ),
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+
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_entry ('tf_inception_v3' , 'Inception V3' , '1512.00567' , model_desc = 'Ported from official Tensorflow weights' ),
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_entry ('tf_mixnet_l' , 'MixNet-L' , '1907.09595' , model_desc = 'Ported from official Google AI Tensorflow weights' ),
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_entry ('tf_mixnet_m' , 'MixNet-M' , '1907.09595' , model_desc = 'Ported from official Google AI Tensorflow weights' ),
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