Internal change

PiperOrigin-RevId: 420497751

Author: frederick0329

official/vision/beta/projects/vit/modeling/vit.py

@@ -21,6 +21,7 @@
 from official.vision.beta.modeling.layers import nn_layers
 from official.vision.beta.projects.vit.modeling import nn_blocks
 
+
 layers = tf.keras.layers
 
 VIT_SPECS = {
@@ -121,6 +122,7 @@ def __init__(self,
                inputs_positions=None,
                init_stochastic_depth_rate=0.0,
                kernel_initializer='glorot_uniform',
+               add_pos_embed=True,
                **kwargs):
     super().__init__(**kwargs)
     self._num_layers = num_layers
@@ -132,11 +134,13 @@ def __init__(self,
     self._inputs_positions = inputs_positions
     self._init_stochastic_depth_rate = init_stochastic_depth_rate
     self._kernel_initializer = kernel_initializer
+    self._add_pos_embed = add_pos_embed
 
   def build(self, input_shape):
-    self._pos_embed = AddPositionEmbs(
-        posemb_init=tf.keras.initializers.RandomNormal(stddev=0.02),
-        name='posembed_input')
+    if self._add_pos_embed:
+      self._pos_embed = AddPositionEmbs(
+          posemb_init=tf.keras.initializers.RandomNormal(stddev=0.02),
+          name='posembed_input')
     self._dropout = layers.Dropout(rate=self._dropout_rate)
 
     self._encoder_layers = []
@@ -160,7 +164,9 @@ def build(self, input_shape):
     super().build(input_shape)
 
   def call(self, inputs, training=None):
-    x = self._pos_embed(inputs, inputs_positions=self._inputs_positions)
+    x = inputs
+    if self._add_pos_embed:
+      x = self._pos_embed(x, inputs_positions=self._inputs_positions)
     x = self._dropout(x, training=training)
 
     for encoder_layer in self._encoder_layers: