39   y[0].backward();  in TEST()
47   y[0].backward();  in TEST()
54   backward({res.sum()}, {});  in TEST()
64   backward({res}, {torch::ones({2, 2})}, {}, true);  in TEST()
66   backward({res}, {torch::ones({2, 2})});  in TEST()
87   res.backward(torch::ones({2, 2}), false, true);  in TEST()
123   x.backward(grad_output, false, true);  in TEST()
160     static variable_list backward(  in TEST()  function
207   out.backward({}, /*keep_graph=*/true);  in TEST()
210   out.backward({}, /*keep_graph=*/true);  in TEST()
220   out.backward();  in TEST()
233     ASSERT_THROWS_WITH(z.backward(), "inplace");  in TEST()
283     static variable_list backward(  in TEST()  function
307     static variable_list backward(  in TEST()  function
326   res.sum().backward(go, false, true);  in TEST()
343     static variable_list backward(  in TEST()  function
362   res.sum().backward(go, false, true);  in TEST()
386     static variable_list backward(  in TEST()  function
390       // We have to test this within the backward function.  in TEST()
470     static variable_list backward(  in TEST()  function
478   MyFunction::apply(x).backward(torch::ones(1), true, true);  in TEST()
488     static variable_list backward(  in TEST()  function
498   MyFunction::apply(x).backward();  in TEST()
501   MyFunction::apply(x.pow(2)).backward();  in TEST()
504   MyFunction::apply(x).sum().backward();  in TEST()
518     static variable_list backward(  in TEST()  function
527   UndefinedGrad().apply({MyFunction::apply(x)})[0].backward();  in TEST()
537     static variable_list backward(  in TEST()  function
546   UndefinedGrad().apply({MyFunction::apply(x)})[0].backward();  in TEST()
556     static variable_list backward(AutogradContext* ctx, variable_list dy) {  in TEST()  function
579     static variable_list backward(  in TEST()  function
592   out.sum().backward();  in TEST()
603     static variable_list backward(  in TEST()  function
614   y.sum().backward();  in TEST()
626     static variable_list backward(  in TEST()  function
641   out[1].sum().backward();  in TEST()
653     static variable_list backward(  in TEST()  function
662   (r * x).sum().backward();  in TEST()
672     static variable_list backward(  in TEST()  function
686   q.sum().backward();  in TEST()
698     static variable_list backward(  in TEST()  function
723     static variable_list backward(  in TEST()  function
742     static variable_list backward(  in TEST()  function
754   y.sum().backward();  in TEST()
764     static variable_list backward(  in TEST()  function
775       MyFunction::apply(input1).sum().backward(), "expected shape");  in TEST()
786     static variable_list backward(  in TEST()  function
810     static variable_list backward(AutogradContext*, variable_list grad_output) {  in TEST()  function
825     static variable_list backward(  in TEST()  function
837     static variable_list backward(AutogradContext*, variable_list grad_output) {  in TEST()  function
850   c.backward(torch::ones(c.sizes()), false, false);  in TEST()
872     static variable_list backward(  in TEST()  function
878         out.sum().backward();  in TEST()
886   out.sum().backward();  in TEST()
902     static variable_list backward(  in TEST()  function
910         apply(ctx->saved_data["x"].toTensor())[0].sum().backward();  in TEST()
919   DeepReenter::apply(v).sum().backward();  in TEST()
930     static variable_list backward(AutogradContext*, variable_list grad) {  in TEST()  function
945     static variable_list backward(  in TEST()  function
954         apply(ctx->saved_data["x"].toTensor())[0].sum().backward();  in TEST()
965   v.backward();  in TEST()
967   // All the reentrant tasks should be prioritized over the MyFunction backward  in TEST()
990   z.backward(torch::ones({5, 5}), true, true);  in TEST()
995   z.backward(torch::ones({5, 5}), true, true);  in TEST()
999   z.backward(torch::ones({5, 5}), true, true);  in TEST()
1008   z.backward(torch::ones({5, 5}), true, false);  in TEST()
1013   z.backward(torch::ones({5, 5}), false, false);  in TEST()
1039   out.backward();  in TEST()
1074   out.backward();  in TEST()
1114   out.backward();  in TEST()
1130     static variable_list backward(AutogradContext* ctx, variable_list grad) {  in TEST()  function
1150   (rx + ry).sum().backward();  in TEST()
1161   z.backward(torch::ones({5, 5}), false, false, {x});  in TEST()
1174       z.backward(torch::ones({5, 5}), false, false, std::vector<Variable>{}),  in TEST()
1187   w.backward(torch::ones({5, 5}), false, false, std::vector<Variable>{x, z});  in TEST()
1201     z.backward(torch::ones({5, 5}), std::nullopt, true);  in TEST()
1203         warnings.str().find("Using backward() with create_graph=True") !=  in TEST()
1209     torch::autograd::backward({z}, {torch::ones({5, 5})}, std::nullopt, true);  in TEST()
1211         warnings.str().find("Using backward() with create_graph=True") !=  in TEST()
1345   ASSERT_THROWS_WITH(out1.backward(), "is not implemented");  in assertBasicChecks()
1350       out2.backward(),  in assertBasicChecks()