parikh-et-al-and-bilstm-max-pool/modules/IO.py
def write_extra_embeddings(self, embeddings, dirname):
        """
        Write the extra embeddings (for unknown, padding and null)
        to a numpy file. They are assumed to be the first three in
        the embeddings model.
        """
        path = os.path.join(dirname, 'extra-embeddings.npy')
        torch.save(embeddings[:3], path)

        Write the extra embeddings (for unknown, padding and null)
        to a numpy file. They are assumed to be the first three in
        the embeddings model.
        
Write the extra embeddings (for unknown, padding and null)
to a numpy file. They are assumed to be the first three in
the embeddings model.
Write the extra embeddings ( for unknown padding and null ) to a numpy file . They are assumed to be the first three in the embeddings model .
def write_extra_embeddings(self, embeddings, dirname):
        path = os.path.join(dirname, 'extra-embeddings.npy')
        torch.save(embeddings[:3], path)
def write_extra_embeddings ( self , embeddings , dirname ) : path = os . path . join ( dirname , 'extra-embeddings.npy' ) torch . save ( embeddings [ : 3 ] , path )
Write the extra embeddings (for unknown, padding and null)
to a numpy file.
Write the extra embeddings ( for unknown padding and null ) to a numpy file .
"""
        Write the extra embeddings (for unknown, padding and null)
        to a numpy file. They are assumed to be the first three in
        the embeddings model.
        """
self
embeddings
dirname