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Reduce memory footprint in Large array nightly tests #15900

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Aug 20, 2019
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Reduce memory footprint in Large array nightly tests #15900

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12 changes: 6 additions & 6 deletions tests/nightly/test_large_array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,12 @@
LARGE_SIZE = LARGE_X * SMALL_Y


def create_2d_tensor(rows, columns, dtype=np.int64):
a = nd.arange(0, rows, dtype=dtype).reshape(rows, 1)
b = nd.broadcast_to(a, shape=(a.shape[0], columns))
return nd.array(b, dtype=dtype)


def test_gluon_embedding():
m = gluon.nn.Embedding(SMALL_Y, MEDIUM_X)
m.initialize()
Expand Down Expand Up @@ -383,12 +389,6 @@ def test_unravel_index():
assert (indices_2d.asnumpy() == np.array(original_2d_indices)).all()


def create_2d_tensor(rows, columns, dtype=np.int64):
a = np.arange(0, rows).reshape(rows, 1)
b = np.broadcast_to(a, shape=(a.shape[0], columns))
return nd.array(b, dtype=dtype)


def test_transpose():
b = create_2d_tensor(rows=LARGE_X, columns=SMALL_Y)
t = b.T
Expand Down