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_r283200886
##########
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):
+ data = mx.symbol.Variable("data")
+ index_array = mx.sym.contrib.index_array(data)
+
+ input_array = np.ones((0, 0, 0))
+ expected = np.zeros((0, 0, 0, 3))
+
+ 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_select_axes():
+ shape = (5, 7, 11, 13, 17, 19)
+ for axes in [(3,), (4, 1), (5, 1, 3), (-1,), (-5, -1, -3)]:
+ data = mx.symbol.Variable("data")
+ index_array = mx.sym.contrib.index_array(data, axes=axes)
+
+ input_array = np.ones(shape)
+ mgrid = np.mgrid[tuple(slice(0, x) for x in shape)]
+ expected = np.stack(mgrid, axis=-1)[..., axes]
+
+ 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_select_axes_zero_size():
+ with mx.np_compat(active=True):
Review comment:
Same as above.
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