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fix flaky test_quantization.test_get_optimal_thresholds
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Hao Jin committed Aug 3, 2018
1 parent 1fa04f2 commit b102db2
Showing 1 changed file with 2 additions and 3 deletions.
5 changes: 2 additions & 3 deletions tests/python/quantization/test_quantization.py
Original file line number Diff line number Diff line change
Expand Up @@ -510,7 +510,6 @@ def test_optimal_threshold_adversarial_case():


@with_seed()
@unittest.skip("Flaky test: https://github.com/apache/incubator-mxnet/issues/11456")
def test_get_optimal_thresholds():
# Given an ndarray with elements following a uniform distribution, the optimal threshold
# for quantizing the ndarray should be either abs(min(nd)) or abs(max(nd)).
Expand All @@ -519,11 +518,11 @@ def get_threshold(nd):
max_nd = mx.nd.max(nd)
return mx.nd.maximum(mx.nd.abs(min_nd), mx.nd.abs(max_nd)).asnumpy()

nd_dict = {'layer1': mx.nd.uniform(low=-10.532, high=11.3432, shape=(8, 3, 23, 23))}
nd_dict = {'layer1': mx.nd.uniform(low=-10.532, high=11.3432, shape=(8, 3, 23, 23), dtype=np.float64)}
expected_threshold = get_threshold(nd_dict['layer1'])
th_dict = mx.contrib.quant._get_optimal_thresholds(nd_dict)
assert 'layer1' in th_dict
assert_almost_equal(np.array([th_dict['layer1'][1]]), expected_threshold, rtol=0.001, atol=0.001)
assert_almost_equal(np.array([th_dict['layer1'][1]]), expected_threshold, rtol=1e-2, atol=1e-4)


if __name__ == "__main__":
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