Remove dead code in YOLO project

official/vision/beta/projects/yolo/configs/darknet_classification.py

@@ -49,4 +49,4 @@ def image_classification() -> cfg.ExperimentConfig:
       restrictions=[
           'task.train_data.is_training != None',
           'task.validation_data.is_training != None'
-      ])
\ No newline at end of file
+      ])

official/vision/beta/projects/yolo/modeling/building_blocks/_DarkTiny.py

@@ -49,12 +49,6 @@ class DarkTiny(ks.layers.Layer):
     return
 
   def build(self, input_shape):
-    # if self._strides == 2:
-    #     self._zeropad = ks.layers.ZeroPadding2D(((1,0), (1,0)))
-    #     padding = "valid"
-    # else:
-    #     self._zeropad = ks.layers.ZeroPadding2D(((0,1), (0,1)))#nn_blocks.Identity()#ks.layers.ZeroPadding2D(((1,0), (1,0)))
-    #     padding = "valid"
     self._maxpool = tf.keras.layers.MaxPool2D(pool_size=2,
                                               strides=self._strides,
                                               padding="same",

training_dir/params.yaml

-runtime:
-  all_reduce_alg: null
-  batchnorm_spatial_persistent: false
-  dataset_num_private_threads: null
-  default_shard_dim: -1
-  distribution_strategy: mirrored
-  enable_xla: false
-  gpu_thread_mode: null
-  loss_scale: null
-  mixed_precision_dtype: float32
-  num_cores_per_replica: 1
-  num_gpus: 0
-  num_packs: 1
-  per_gpu_thread_count: 0
-  run_eagerly: false
-  task_index: -1
-  tpu: null
-  worker_hosts: null
-task:
-  gradient_clip_norm: 0.0
-  init_checkpoint: ''
-  logging_dir: null
-  losses:
-    l2_weight_decay: 0.0005
-    label_smoothing: 0.0
-    one_hot: true
-  model:
-    add_head_batch_norm: false
-    backbone:
-      darknet:
-        model_id: cspdarknettiny
-      type: darknet
-    dropout_rate: 0.0
-    input_size: [224, 224, 3]
-    norm_activation:
-      activation: relu
-      norm_epsilon: 0.001
-      norm_momentum: 0.99
-      use_sync_bn: false
-    num_classes: 1001
-  train_data:
-    block_length: 1
-    cache: false
-    cycle_length: 10
-    deterministic: null
-    drop_remainder: true
-    dtype: float16
-    enable_tf_data_service: false
-    global_batch_size: 128
-    input_path: imagenet-2012-tfrecord/train*
-    is_training: true
-    sharding: true
-    shuffle_buffer_size: 10000
-    tf_data_service_address: null
-    tf_data_service_job_name: null
-    tfds_as_supervised: false
-    tfds_data_dir: ''
-    tfds_download: false
-    tfds_name: ''
-    tfds_skip_decoding_feature: ''
-    tfds_split: ''
-  validation_data:
-    block_length: 1
-    cache: false
-    cycle_length: 10
-    deterministic: null
-    drop_remainder: false
-    dtype: float16
-    enable_tf_data_service: false
-    global_batch_size: 128
-    input_path: imagenet-2012-tfrecord/valid*
-    is_training: true
-    sharding: true
-    shuffle_buffer_size: 10000
-    tf_data_service_address: null
-    tf_data_service_job_name: null
-    tfds_as_supervised: false
-    tfds_data_dir: ''
-    tfds_download: false
-    tfds_name: ''
-    tfds_skip_decoding_feature: ''
-    tfds_split: ''
-trainer:
-  allow_tpu_summary: false
-  best_checkpoint_eval_metric: ''
-  best_checkpoint_export_subdir: ''
-  best_checkpoint_metric_comp: higher
-  checkpoint_interval: 10000
-  continuous_eval_timeout: 3600
-  eval_tf_function: true
-  max_to_keep: 5
-  optimizer_config:
-    ema: null
-    learning_rate:
-      polynomial:
-        cycle: false
-        decay_steps: 799000
-        end_learning_rate: 0.0001
-        initial_learning_rate: 0.1
-        name: PolynomialDecay
-        power: 4.0
-      type: polynomial
-    optimizer:
-      sgd:
-        clipnorm: null
-        clipvalue: null
-        decay: 0.0
-        momentum: 0.9
-        name: SGD
-        nesterov: false
-      type: sgd
-    warmup:
-      linear:
-        name: linear
-        warmup_learning_rate: 0
-        warmup_steps: 1000
-      type: linear
-  steps_per_loop: 10000
-  summary_interval: 10000
-  train_steps: 800000
-  train_tf_function: true
-  train_tf_while_loop: true
-  validation_interval: 10000
-  validation_steps: 400