marcoabreu commented on a change in pull request #16477: added more tests to
verify support for large vector
URL: https://github.com/apache/incubator-mxnet/pull/16477#discussion_r342182341
##########
File path: tests/nightly/test_large_vector.py
##########
@@ -708,6 +708,174 @@ def test_full():
assert a[-1] == 3
+def test_astype():
+ x = create_vector(size=LARGE_X//4)
+ x = nd.tile(x, 4)
+ y = x.astype('int32')
+ assert y.dtype == np.int32
+ assert y[-1] == LARGE_X//4-1
+
+
+def test_cast():
+ x = create_vector(size=LARGE_X//4)
+ x = nd.tile(x, 4)
+ y = nd.cast(x, np.int32)
+ assert y.dtype == np.int32
+ assert y[-1] == LARGE_X//4-1
+
+
+def test_repeat():
+ x = create_vector(size=LARGE_X//2)
+ y = nd.repeat(x, repeats=2, axis = 0)
+ assert y.shape[0] == LARGE_X
+ assert y[1] == 0
+ assert y[LARGE_X-1] == LARGE_X//2-1
+
+
+def create_input_for_rounding_ops():
+ # Creates an vector with values (-LARGE/2 .... -2, -1, 0, 1, 2, .... ,
LARGE/2-1)
+ # then divides each element by 2 i.e (-LARGE/4 .... -1, -0.5, 0, 0.5, 1,
.... , LARGE/4-1)
+ inp = nd.arange(-LARGE_X//2, LARGE_X//2, dtype=np.float64)
+ inp = inp/2
+ return inp
+
+
+def assert_correctness_of_rounding_ops(output, mid, expected_vals):
+ # checks verifies 5 values at the middle positions of the input vector
+ # i.e mid-2, mid-1, mid, mid+1, mid+2
+ output_idx_to_inspect = [mid-2, mid-1, mid, mid+1, mid+2]
+ for i in range(len(output_idx_to_inspect)):
+ assert output[output_idx_to_inspect[i]] == expected_vals[i]
+
+
+def test_rounding_ops():
+ x = create_input_for_rounding_ops()
+
+ def test_ceil():
+ y = nd.ceil(x)
+ # expected ouput for middle 5 values after applying ceil()
+ expected_output = [-1, 0, 0, 1, 1]
+ assert_correctness_of_rounding_ops(y, LARGE_X//2, expected_output)
+
+ def test_fix():
+ y = nd.fix(x)
+ # expected ouput for middle 5 values after applying fix()
+ expected_output = [-1, 0, 0, 0, 1]
+ assert_correctness_of_rounding_ops(y, LARGE_X//2, expected_output)
+
+ def test_floor():
+ y = nd.floor(x)
+ # expected ouput for middle 5 values after applying floor()
+ expected_output = [-1, -1, 0, 0, 1]
+ assert_correctness_of_rounding_ops(y, LARGE_X//2, expected_output)
+
+ def test_rint():
Review comment:
nosetests generally looks for functions starting with "test_", thus this
function could be mistaken for being a standalone test
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