eric-haibin-lin commented on a change in pull request #8539: expose group2ctx
to module
URL: https://github.com/apache/incubator-mxnet/pull/8539#discussion_r149873831
##########
File path: tests/python/unittest/test_module.py
##########
@@ -70,6 +70,63 @@ def test_module_input_grads():
assert np.all(c_grad == 3), c_grad
+def test_module_ctx_group():
+ with mx.AttrScope(ctx_group='dev1'):
+ a = mx.symbol.Variable('a')
+ a = a * 2
+ with mx.AttrScope(ctx_group='dev2'):
+ b = mx.symbol.Variable('b')
+ c = a + b
+ shape = (2, 5)
+ mod1 = mx.mod.Module(c, context=[mx.cpu(0)], data_names=['a', 'b'],
label_names=None,
+ group2ctxs=[{'dev1':mx.cpu(1),'dev2':mx.cpu(2)}])
+ mod1.bind(data_shapes=[['a', shape], ['b', shape]], inputs_need_grad=True)
+ mod1.init_params()
+ mod1.forward(data_batch=mx.io.DataBatch(data=[mx.nd.ones(shape),
mx.nd.ones(shape)]), is_train=True)
+ mod1.backward([mx.nd.ones(shape)])
+ mod1_input_grads = mod1.get_input_grads()
+
+ mod2 = mx.mod.Module(c, data_names=['a', 'b'], label_names=None)
+ mod2.bind(data_shapes=[['a', shape], ['b', shape]], inputs_need_grad=True)
+ mod2.init_params()
+ mod2.forward(data_batch=mx.io.DataBatch(data=[mx.nd.ones(shape),
mx.nd.ones(shape)]), is_train=True)
+ mod2.backward([mx.nd.ones(shape)])
+ mod2_input_grads = mod2.get_input_grads()
+
+ assert np.all(mod1_input_grads[0].asnumpy() ==
mod2_input_grads[0].asnumpy())
+ assert np.all(mod1_input_grads[1].asnumpy() ==
mod2_input_grads[1].asnumpy())
+
+
+def test_bucket_module_ctx_group():
Review comment:
Yeah just add `assert mod.binded `
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