comaniac commented on a change in pull request #4779: [AUTOTVM] Fix a bug in
generating the search space
URL: https://github.com/apache/incubator-tvm/pull/4779#discussion_r371397521
##########
File path: python/tvm/autotvm/task/space.py
##########
@@ -226,7 +226,13 @@ def __init__(self, axes, policy, **kwargs):
def _generate_space(self, now, tmp_stack, enforce_no_tail=False):
"""Generate space by DFS"""
if now == self.num_output - 1:
- prod = np.prod(tmp_stack, dtype=np.int64)
+ prod = 1
Review comment:
It seems to me that manually implementing a classic array production is not
necessary in any case. Since limited types are only enforced in numpy and
Python's types are unlimited, it would be more concise to use Python builtins
to calculate the product:
```python
import functools
import operator
prod = functools.reduce(operator.mul, tmp_stack, 1)
```
Note that the length of `tmp_stack` is always small (currently 4 at most,
and I don't think it would be longer than 10), so this won't hurt the
performance.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
With regards,
Apache Git Services
