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Reducing memory footprint of one_hot for Large Array Testing #16136

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Sep 11, 2019
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Reducing memory footprint of one_hot for Large Array Testing #16136

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2838fea
reducing memory footprint of one_hot for Large Tensor
Sep 10, 2019
f9ce945
removing one_hot from large_vector and changing large_array test to i…
Sep 10, 2019
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10 changes: 5 additions & 5 deletions tests/nightly/test_large_array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@

# dimension constants
MEDIUM_X = 10000
VLARGE_X = 4300000000
LARGE_X = 100000000
SMALL_X = 100
SMALL_Y = 50
Expand Down Expand Up @@ -1197,12 +1198,11 @@ def test_slice_axis():


def test_one_hot():
a = nd.array(np.zeros(SMALL_Y))
a[0] = 1
a[-1] = 1
b = nd.one_hot(a, LARGE_X)
#default dtype of ndarray is float32 which cannot index elements over 2^32
a = nd.array([1, (VLARGE_X - 1)], dtype=np.int64)
b = nd.one_hot(a, VLARGE_X)
b[0][1] == 1
b[-1][1] == 1
b[1][-1] == 1


def test_full():
Expand Down
9 changes: 0 additions & 9 deletions tests/nightly/test_large_vector.py
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Expand Up @@ -714,15 +714,6 @@ def test_full():
assert a[-1] == 3


def test_one_hot():
a = nd.zeros(10)
a[0] = 1
a[-1] = 1
b = nd.one_hot(a, LARGE_X)
assert b[0][1] == 1
assert b[-1][1] == 1


if __name__ == '__main__':
import nose
nose.runmodule()