access2rohit 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_r335297560
##########
File path: tests/nightly/test_large_vector.py
##########
@@ -708,6 +708,182 @@ 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():
+ inp = nd.arange(-LARGE_X//2, LARGE_X//2, dtype=np.float64)
+ inp = inp/2
+ return inp
+
+
+def test_ceil():
+ x = create_input_for_rounding_ops()
+ y = nd.ceil(x)
+ assert y[LARGE_X//2-2] == -1
+ assert y[LARGE_X//2-1] == 0
+ assert y[LARGE_X//2] == 0
+ assert y[LARGE_X//2+1] == 1
+ assert y[LARGE_X//2+2] == 1
+
+
+def test_fix():
+ x = create_input_for_rounding_ops()
+ y = nd.fix(x)
+ assert y[LARGE_X//2-2] == -1
+ assert y[LARGE_X//2-1] == 0
+ assert y[LARGE_X//2] == 0
+ assert y[LARGE_X//2+1] == 0
+ assert y[LARGE_X//2+2] == 1
+
+
+def test_floor():
+ x = create_input_for_rounding_ops()
+ y = nd.floor(x)
+ assert y[LARGE_X//2-2] == -1
+ assert y[LARGE_X//2-1] == -1
+ assert y[LARGE_X//2] == 0
+ assert y[LARGE_X//2+1] == 0
+ assert y[LARGE_X//2+2] == 1
+
+
+def test_rint():
+ x = create_input_for_rounding_ops()
+ y = nd.rint(x)
+ assert y[LARGE_X//2-2] == -1
+ assert y[LARGE_X//2-1] == -1
+ assert y[LARGE_X//2] == 0
+ assert y[LARGE_X//2+1] == 0
+ assert y[LARGE_X//2+2] == 1
+
+
+def test_round():
+ x = create_input_for_rounding_ops()
+ y = nd.round(x)
+ assert y[LARGE_X//2-2] == -1
+ assert y[LARGE_X//2-1] == -1
+ assert y[LARGE_X//2] == 0
+ assert y[LARGE_X//2+1] == 1
+ assert y[LARGE_X//2+2] == 1
+
+
+def test_trunc():
+ x = create_input_for_rounding_ops()
+ y = nd.trunc(x)
+ assert y[LARGE_X//2-2] == -1
+ assert y[LARGE_X//2-1] == 0
+ assert y[LARGE_X//2] == 0
+ assert y[LARGE_X//2+1] == 0
+ assert y[LARGE_X//2+2] == 1
+
+
+def test_arcsin():
+ x = nd.array([-1, -.707, 0, .707, 1])
+ x = nd.tile(x, LARGE_X//5)
+ y = nd.arcsin(x)
+ assert_almost_equal(y[0].asnumpy(), -np.pi/2, atol=1e-3)
+ assert_almost_equal(y[1].asnumpy(), -np.pi/4, atol=1e-3)
+ assert_almost_equal(y[-3].asnumpy(), 0, atol=1e-3)
+ assert_almost_equal(y[-2].asnumpy(), np.pi/4, atol=1e-3)
+ assert_almost_equal(y[-1].asnumpy(), np.pi/2, atol=1e-3)
+
+
+def test_arccos():
+ x = nd.array([-1, -.707, 0, .707, 1])
+ x = nd.tile(x, LARGE_X//5)
+ y = nd.arccos(x)
+ assert_almost_equal(y[0].asnumpy(), np.pi, atol=1e-3)
+ assert_almost_equal(y[1].asnumpy(), 3*np.pi/4, atol=1e-3)
+ assert_almost_equal(y[-3].asnumpy(), np.pi/2, atol=1e-3)
+ assert_almost_equal(y[-2].asnumpy(), np.pi/4, atol=1e-3)
+ assert_almost_equal(y[-1].asnumpy(), 0, atol=1e-3)
+
+
+def test_arctan():
+ x = nd.array([-np.Inf, -1, 0, 1, np.Inf])
+ x = nd.tile(x, LARGE_X//5)
+ y = nd.arctan(x)
+ assert_almost_equal(y[0].asnumpy(), -np.pi/2, atol=1e-3)
+ assert_almost_equal(y[1].asnumpy(), -np.pi/4, atol=1e-3)
+ assert_almost_equal(y[-3].asnumpy(), 0, atol=1e-3)
+ assert_almost_equal(y[-2].asnumpy(), np.pi/4, atol=1e-3)
+ assert_almost_equal(y[-1].asnumpy(), np.pi/2, atol=1e-3)
+
+
+def test_sin():
+ x = nd.array([-np.pi/2, -np.pi/4, 0, np.pi/4, np.pi/2])
+ x = nd.tile(x, LARGE_X//5)
+ y = nd.sin(x)
+ assert_almost_equal(y[0].asnumpy(), -1, atol=1e-3)
+ assert_almost_equal(y[1].asnumpy(), -.707, atol=1e-3)
+ assert_almost_equal(y[-3].asnumpy(), 0, atol=1e-3)
+ assert_almost_equal(y[-2].asnumpy(), .707, atol=1e-3)
+ assert_almost_equal(y[-1].asnumpy(), 1, atol=1e-3)
+
+
+def test_cos():
+ x = nd.array([0, np.pi/4, np.pi/2, 3*np.pi/4, np.pi])
+ x = nd.tile(x, LARGE_X//5)
+ y = nd.cos(x)
+ assert_almost_equal(y[0].asnumpy(), 1, atol=1e-3)
+ assert_almost_equal(y[1].asnumpy(), .707, atol=1e-3)
+ assert_almost_equal(y[-3].asnumpy(), 0, atol=1e-3)
+ assert_almost_equal(y[-2].asnumpy(), -.707, atol=1e-3)
+ assert_almost_equal(y[-1].asnumpy(), -1, atol=1e-3)
+
+
+def test_tan():
+ x = nd.array([-np.pi/4, 0, np.pi/4])
+ x = nd.tile(x, LARGE_X//3)
+ y = nd.tan(x)
+ assert y[0] == -1
+ assert y[1] == 0
+ assert y[-1] == 1
+
+
+def test_radians():
+ x = nd.array([0, 90, 180, 270, 360])
+ x = nd.tile(x, LARGE_X//5)
+ y = nd.radians(x)
+ assert_almost_equal(y[0].asnumpy(), 0, atol=1e-3)
Review comment:
works for both ndarrays and numpy arrays:
https://github.com/apache/incubator-mxnet/blob/c2bbde75c36be2fef4a5e6d941cc01f5aabd9fd2/python/mxnet/test_utils.py#L540
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
With regards,
Apache Git Services
