          keras_name="EfficientNetV2B1", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=240),
      efficientnet_v2_b2=_EncoderInfo(
          keras_name="EfficientNetV2B2", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=260),
      efficientnet_v2_b3=_EncoderInfo(
          keras_name="EfficientNetV2B3", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=300),
      efficientnet_v2_s=_EncoderInfo(
          keras_name="EfficientNetV2S", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=384),
      efficientnet_v2_m=_EncoderInfo(
          keras_name="EfficientNetV2M", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=480),
      efficientnet_v2_l=_EncoderInfo(
 
</s> remove         keras_name="EfficientNetV2S", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=384),
 </s> add         keras_name="EfficientNetV2S",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=384), </s> remove         keras_name="EfficientNetV2B2", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=260),
 </s> add         keras_name="EfficientNetV2B2",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=260), </s> remove         keras_name="EfficientNetV2M", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=480),
 </s> add         keras_name="EfficientNetV2M",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=480), </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="EfficientNetV2L", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=480),
 </s> add         keras_name="EfficientNetV2L",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=480),
        keras_name="EfficientNetV2B3",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=300),
          keras_name="EfficientNetV2B1", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=240),
      efficientnet_v2_b2=_EncoderInfo(
          keras_name="EfficientNetV2B2", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=260),
      efficientnet_v2_b3=_EncoderInfo(
        keras_name="EfficientNetV2B3",
        no_amd=True, tf_min=(2, 8), scaling=(-1, 1), default_size=300),
      efficientnet_v2_s=_EncoderInfo(
          keras_name="EfficientNetV2S", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=384),
      efficientnet_v2_m=_EncoderInfo(
          keras_name="EfficientNetV2M", no_amd=True, tf_min=2.8, scaling=(-1, 1), default_size=480),
      efficientnet_v2_l=_EncoderInfo(
keep keep keep keep replace keep keep keep keep keep
 Bugfix - TF Version check 
plugins/train/model/phaze_a.py