marcoabreu commented on a change in pull request #11641: [WIP] make CachedOp a
normal operator
URL: https://github.com/apache/incubator-mxnet/pull/11641#discussion_r201797910
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File path: tests/python/unittest/test_operator.py
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@@ -6968,6 +6968,39 @@ def test_roi_align_autograd(sampling_ratio=0):
test_roi_align_autograd()
+def test_make_subgraph():
+ a = mx.symbol.Variable(name='a')
+ b = mx.symbol.Variable(name='b')
+ c = a + b
+ d = c * 2
+
+ a1 = mx.symbol.Variable(name='a1')
+ b1 = mx.symbol.Variable(name='b1')
+ y = mx.symbol.contrib.make_subgraph(c, a1, b1)
+ y = y * 2
+
+ a_arr = mx.nd.random.uniform(-1, 1, shape=(10, 10), ctx=default_context())
+ b_arr = mx.nd.random.uniform(-1, 1, shape=(10, 10), ctx=default_context())
+ e1 = d.bind(ctx=default_context(), args={'a': a_arr, 'b': b_arr},
+ args_grad={'a': mx.nd.empty(shape=(10, 10)),
+ 'b': mx.nd.empty(shape=(10, 10))})
+ e2 = y.bind(ctx=default_context(), args={'a1': a_arr, 'b1': b_arr},
+ args_grad={'a': mx.nd.empty(shape=(10, 10)),
+ 'b': mx.nd.empty(shape=(10, 10))})
+ e1.forward()
+ e2.forward()
+ assert_almost_equal(e1.outputs[0].asnumpy(), e2.outputs[0].asnumpy(),
Review comment:
I think due to floating point precision
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