          keras_name="EfficientNetB5", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=456),
      efficientnet_b6=_EncoderInfo(
          keras_name="EfficientNetB6", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=528),
      efficientnet_b7=_EncoderInfo(
          keras_name="EfficientNetB7", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=600),
      efficientnet_v2_b0=_EncoderInfo(
          keras_name="EfficientNetV2B0", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=224),
      efficientnet_v2_b1=_EncoderInfo(
          keras_name="EfficientNetV2B1", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=240),
      efficientnet_v2_b2=_EncoderInfo(
 
</s> remove         keras_name="EfficientNetB6", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=528),
 </s> add         keras_name="EfficientNetB6",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=528), </s> remove         keras_name="EfficientNetV2B0", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=224),
 </s> add         keras_name="EfficientNetV2B0",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=224), </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), </s> remove         keras_name="EfficientNetV2B1", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=240),
 </s> add         keras_name="EfficientNetV2B1",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=240), </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),
        keras_name="EfficientNetB7",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=600),
          keras_name="EfficientNetB5", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=456),
      efficientnet_b6=_EncoderInfo(
          keras_name="EfficientNetB6", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=528),
      efficientnet_b7=_EncoderInfo(
        keras_name="EfficientNetB7",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=600),
      efficientnet_v2_b0=_EncoderInfo(
          keras_name="EfficientNetV2B0", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=224),
      efficientnet_v2_b1=_EncoderInfo(
          keras_name="EfficientNetV2B1", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=240),
      efficientnet_v2_b2=_EncoderInfo(
keep keep keep keep replace keep keep keep keep keep
 Bugfix - TF Version check 
plugins/train/model/phaze_a.py