          keras_name="MobileNetV2", scaling=(-1, 1), default_size=224),
      mobilenet_v3_large=_EncoderInfo(
          keras_name="MobileNetV3Large", no_amd=True, tf_min=2.4, scaling=(-1, 1), default_size=224),
      mobilenet_v3_small=_EncoderInfo(
          keras_name="MobileNetV3Small", no_amd=True, tf_min=2.4, scaling=(-1, 1), default_size=224),
      nasnet_large=_EncoderInfo(
          keras_name="NASNetLarge", scaling=(-1, 1), default_size=331, enforce_for_weights=True),
      nasnet_mobile=_EncoderInfo(
          keras_name="NASNetMobile", scaling=(-1, 1), default_size=224, enforce_for_weights=True),
      resnet50=_EncoderInfo(
 
</s> remove         keras_name="MobileNetV3Large", no_amd=True, tf_min=2.4, scaling=(-1, 1), default_size=224),
 </s> add         keras_name="MobileNetV3Large",
        no_amd=True, tf_min=(2, 4), scaling=(-1, 1), default_size=224), </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="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="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="EfficientNetB7", no_amd=True, tf_min=2.3, scaling=(0, 255), default_size=600),
 </s> add         keras_name="EfficientNetB7",
        no_amd=True, tf_min=(2, 3), scaling=(0, 255), default_size=600),
        keras_name="MobileNetV3Small",
        no_amd=True, tf_min=(2, 4), scaling=(-1, 1), default_size=224),
          keras_name="MobileNetV2", scaling=(-1, 1), default_size=224),
      mobilenet_v3_large=_EncoderInfo(
          keras_name="MobileNetV3Large", no_amd=True, tf_min=2.4, scaling=(-1, 1), default_size=224),
      mobilenet_v3_small=_EncoderInfo(
        keras_name="MobileNetV3Small",
        no_amd=True, tf_min=(2, 4), scaling=(-1, 1), default_size=224),
      nasnet_large=_EncoderInfo(
          keras_name="NASNetLarge", scaling=(-1, 1), default_size=331, enforce_for_weights=True),
      nasnet_mobile=_EncoderInfo(
          keras_name="NASNetMobile", scaling=(-1, 1), default_size=224, enforce_for_weights=True),
      resnet50=_EncoderInfo(
keep keep keep keep replace keep keep keep keep keep
 Bugfix - TF Version check 
plugins/train/model/phaze_a.py