What will be the output of lda.transform(dtm) in the following code?

What will be the output of lda.transform(dtm) in the following code?

from sklearn.decomposition import LatentDirichletAllocation
from sklearn.feature_extraction.text import CountVectorizer

docs = ["cat dog", "dog mouse", "cat mouse"]
vectorizer = CountVectorizer()
dtm = vectorizer.fit_transform(docs)
lda = LatentDirichletAllocation(n_components=2, random_state=42)
lda.fit(dtm)
result = lda.transform(dtm)
print(result.shape)