jwfromm commented on code in PR #12284:
URL: https://github.com/apache/tvm/pull/12284#discussion_r936900244
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python/tvm/relay/frontend/pytorch.py:
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@@ -3386,6 +3386,19 @@ def trilu(self, inputs, input_types, mode):
upper = True if mode == "triu" else False
return _op.trilu(data, k, upper)
+ def multinomial(self, inputs, input_types):
+ probs = inputs[0]
+ num_samples = inputs[1]
+ replacement = inputs[2] if inputs[2] else True
+ assert not (
+ replacement is False and num_samples > 1
+ ), "Multinomial without replacement is not yet supported."
+ seed = np.random.randint(1e6)
Review Comment:
Yeah thats a good point, we'd have to use a global dictionary or something
for that. I'll add a note. For now, this approach matches how we handle other
rng importer functions.
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