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Add condition control when passing parameters bounds to scipy.minimize. #4977

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Jul 21, 2022
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Add condition control when passing parameters bounds to scipy.minimize. #4977

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Add condition control when passing parameters bounds to scipy.minimize
Jun 30, 2022
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remove whitespace
Jun 30, 2022
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3 changes: 2 additions & 1 deletion nni/algorithms/hpo/gp_tuner/util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -89,7 +89,8 @@ def acq_max(f_acq, gp, y_max, bounds, space, num_warmup, num_starting_points):
x_seeds = [space.random_sample() for _ in range(int(num_starting_points))]

bounds_minmax = np.array(
[[bound['_value'][0], bound['_value'][-1]] for bound in bounds])
[[bound['_value'][0], bound['_value'][1 if bound['_type'] == 'quniform'
or bound['_type'] == 'qloguniform' else -1]] for bound in bounds])

for x_try in x_seeds:
# Find the minimum of minus the acquisition function
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