          keras_name="EfficientNetB0", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=224),
      efficientnet_b1=_EncoderInfo(
          keras_name="EfficientNetB1", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=240),
      efficientnet_b2=_EncoderInfo(
          keras_name="EfficientNetB2", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=260),
      efficientnet_b3=_EncoderInfo(
          keras_name="EfficientNetB3", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=300),
      efficientnet_b4=_EncoderInfo(
          keras_name="EfficientNetB4", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=380),
      efficientnet_b5=_EncoderInfo(
 
</s> remove         keras_name="EfficientNetB1", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=240),
 </s> add         keras_name="EfficientNetB1",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=240), </s> remove         keras_name="EfficientNetB3", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=300),
 </s> add         keras_name="EfficientNetB3",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=300), </s> remove         keras_name="EfficientNetB0", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=224),
 </s> add         keras_name="EfficientNetB0",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=224), </s> remove         keras_name="EfficientNetB4", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=380),
 </s> add         keras_name="EfficientNetB4",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=380), </s> remove         keras_name="EfficientNetB5", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=456),
 </s> add         keras_name="EfficientNetB5",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=456),
        keras_name="EfficientNetB2",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=260),
          keras_name="EfficientNetB0", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=224),
      efficientnet_b1=_EncoderInfo(
          keras_name="EfficientNetB1", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=240),
      efficientnet_b2=_EncoderInfo(
        keras_name="EfficientNetB2",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=260),
      efficientnet_b3=_EncoderInfo(
          keras_name="EfficientNetB3", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=300),
      efficientnet_b4=_EncoderInfo(
          keras_name="EfficientNetB4", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=380),
      efficientnet_b5=_EncoderInfo(
keep keep keep keep replace keep keep keep keep keep
 Bugfix - TF Version check 
plugins/train/model/phaze_a.py