Internal change

PiperOrigin-RevId: 405520991

official/projects/edgetpu/vision/configs/semantic_segmentation_config.py

@@ -26,10 +26,10 @@ from official.core import exp_factory
 from official.modeling import hyperparams
 from official.modeling import optimization
 from official.modeling.hyperparams import config_definitions as cfg
+from official.vision.beta.configs import backbones
 from official.vision.beta.configs import common
 from official.vision.beta.configs import decoders
 from official.vision.beta.configs import semantic_segmentation as base_cfg
-from official.vision.beta.configs.google import backbones
 
 
 @dataclasses.dataclass

official/projects/edgetpu/vision/configs/semantic_segmentation_searched_config.py

@@ -18,15 +18,16 @@
 
 import dataclasses
 import os
-from typing import Any, List, Optional, Mapping
+from typing import Any, List, Mapping, Optional
+
 # Import libraries
 
 from official.core import config_definitions as cfg
 from official.core import exp_factory
 from official.modeling import hyperparams
 from official.modeling import optimization
+from official.vision.beta.configs import backbones
 from official.vision.beta.configs import semantic_segmentation as base_cfg
-from official.vision.beta.configs.google import backbones
 
 # ADE 20K Dataset
 ADE20K_TRAIN_EXAMPLES = 20210

official/projects/edgetpu/vision/tasks/image_classification.py

@@ -28,7 +28,6 @@ from official.projects.edgetpu.vision.modeling import mobilenet_edgetpu_v1_model
 from official.projects.edgetpu.vision.modeling import mobilenet_edgetpu_v2_model
 from official.vision.beta.configs import image_classification as base_cfg
 from official.vision.beta.dataloaders import input_reader_factory
-from official.vision.beta.dataloaders.google import tfds_classification_decoders
 
 
 def get_models() -> Mapping[str, tf.keras.Model]:
@@ -141,11 +140,7 @@ class EdgeTPUTask(base_task.Task):
     is_multilabel = self.task_config.train_data.is_multilabel
 
     if params.tfds_name:
-      if params.tfds_name in tfds_classification_decoders.TFDS_ID_TO_DECODER_MAP:
-        decoder = tfds_classification_decoders.TFDS_ID_TO_DECODER_MAP[
-            params.tfds_name]()
-      else:
-        raise ValueError('TFDS {} is not supported'.format(params.tfds_name))
+      raise ValueError('TFDS {} is not supported'.format(params.tfds_name))
     else:
       decoder = classification_input.Decoder(
           image_field_key=image_field_key, label_field_key=label_field_key,