reminisce commented on a change in pull request #14638: [MXNET-1382] Add the
index_array operator
URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283200807
##########
File path: tests/python/unittest/test_operator.py
##########
@@ -8054,6 +8054,68 @@ def test_image_normalize():
# check backward using finite difference
check_numeric_gradient(img_norm_sym, [data_in_4d], atol=0.001)
+@with_seed()
+def test_index_array_default():
+ for shape in [(10,), (7, 5, 29), (5, 7, 11, 13, 17, 19)]:
+ data = mx.symbol.Variable("data")
+ index_array = mx.sym.contrib.index_array(data)
+
+ input_array = np.ones(shape)
+ mgrid = np.mgrid[tuple(slice(0, x) for x in shape)]
+ expected = np.stack(mgrid, axis=-1)
+
+ check_symbolic_forward(index_array, [input_array], [expected])
+ check_symbolic_backward(index_array, [input_array],
[np.ones(expected.shape)], [np.zeros_like(input_array)])
+
+@with_seed()
+def test_index_array_default_zero_dim():
+ with mx.np_compat(active=True):
+ data = mx.symbol.Variable("data")
+ index_array = mx.sym.contrib.index_array(data)
+
+ input_array = np.ones(())
+ expected = np.zeros((0,))
+
+ check_symbolic_forward(index_array, [input_array], [expected])
+ check_symbolic_backward(index_array, [input_array],
[np.ones(expected.shape)], [np.zeros_like(input_array)])
+
+@with_seed()
+def test_index_array_default_zero_size():
+ with mx.np_compat(active=True):
Review comment:
Same as above, please use the decorator `mx.use_np_compat`.
----------------------------------------------------------------
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:
[email protected]
With regards,
Apache Git Services
