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Commit 002b4ec4 authored by Yuexin Wu's avatar Yuexin Wu Committed by A. Unique TensorFlower
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Fix activation hinting. 

PiperOrigin-RevId: 414032298
parent a39f18f9
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official/nlp/modeling/networks/bert_encoder.py
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...@@ -23,6 +23,8 @@ from official.nlp.modeling import layers ...@@ -23,6 +23,8 @@ from official.nlp.modeling import layers
_Initializer = Union[str, tf.keras.initializers.Initializer] _Initializer = Union[str, tf.keras.initializers.Initializer]
_Activation = Union[str, Callable[..., Any]]
_approx_gelu = lambda x: tf.keras.activations.gelu(x, approximate=True) _approx_gelu = lambda x: tf.keras.activations.gelu(x, approximate=True)
...@@ -83,7 +85,7 @@ class BertEncoderV2(tf.keras.layers.Layer): ...@@ -83,7 +85,7 @@ class BertEncoderV2(tf.keras.layers.Layer):
max_sequence_length: int = 512, max_sequence_length: int = 512,
type_vocab_size: int = 16, type_vocab_size: int = 16,
inner_dim: int = 3072, inner_dim: int = 3072,
inner_activation: Callable[..., Any] = _approx_gelu, inner_activation: _Activation = _approx_gelu,
output_dropout: float = 0.1, output_dropout: float = 0.1,
attention_dropout: float = 0.1, attention_dropout: float = 0.1,
initializer: _Initializer = tf.keras.initializers.TruncatedNormal( initializer: _Initializer = tf.keras.initializers.TruncatedNormal(
......
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