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change tf.math.divide with int(/) to remove dim_per_head from the TF graph (#14600)

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Co-authored-by: yis <yis@graphcore.ai>
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yis11178 2021-12-02 13:13:42 +00:00 committed by GitHub
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src/transformers/models/distilbert/modeling_tf_distilbert.py
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@ -170,7 +170,7 @@ class TFMultiHeadSelfAttention(tf.keras.layers.Layer):
k_length = shape_list(key)[1] k_length = shape_list(key)[1]
# assert dim == self.dim, f'Dimensions do not match: {dim} input vs {self.dim} configured' # assert dim == self.dim, f'Dimensions do not match: {dim} input vs {self.dim} configured'
# assert key.size() == value.size() # assert key.size() == value.size()
dim_per_head = tf.math.divide(self.dim, self.n_heads) dim_per_head = int(self.dim / self.n_heads)
dim_per_head = tf.cast(dim_per_head, dtype=tf.int32) dim_per_head = tf.cast(dim_per_head, dtype=tf.int32)
mask_reshape = [bs, 1, 1, k_length] mask_reshape = [bs, 1, 1, k_length]