| 37 | namespace tensorflow { |
| 38 | |
| 39 | TEST(RearrangeFunctionArgumentForFunctionTest, Basic) { |
| 40 | FunctionDefLibrary fdl; |
| 41 | { |
| 42 | // Function for StatefulPartitionedCall's "f", If's |
| 43 | // "then_branch"/"else_branch". |
| 44 | // "arg0" (T=DT_RESOURCE), "arg1" (T=DT_BOOL) |
| 45 | // "ret0" = "arg1" |
| 46 | // "ret1" = "arg0" |
| 47 | tensorflow::Scope s = tensorflow::Scope::NewRootScope(); |
| 48 | Output arg0 = ops::_Arg(s.WithOpName("arg0"), DT_RESOURCE, 0); |
| 49 | Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_BOOL, 1); |
| 50 | auto ret0 = ops::_Retval(s.WithOpName("ret0"), arg1, 0); |
| 51 | auto ret1 = ops::_Retval(s.WithOpName("ret1"), arg0, 1); |
| 52 | std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); |
| 53 | TF_CHECK_OK(s.ToGraph(g.get())); |
| 54 | FunctionDef *xla_fdef = fdl.add_function(); |
| 55 | TF_CHECK_OK(GraphToFunctionDef(*g, "f1", xla_fdef)); |
| 56 | } |
| 57 | { |
| 58 | // Function for While's "body". |
| 59 | // "arg0" (T=DT_RESOURCE), "arg1" (T=DT_BOOL) |
| 60 | // "ret0" = "arg0" |
| 61 | // "ret1" = "arg1" |
| 62 | tensorflow::Scope s = tensorflow::Scope::NewRootScope(); |
| 63 | Output arg0 = ops::_Arg(s.WithOpName("arg0"), DT_RESOURCE, 0); |
| 64 | Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_BOOL, 1); |
| 65 | auto ret0 = ops::_Retval(s.WithOpName("ret0"), arg0, 0); |
| 66 | auto ret1 = ops::_Retval(s.WithOpName("ret1"), arg1, 0); |
| 67 | std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); |
| 68 | TF_CHECK_OK(s.ToGraph(g.get())); |
| 69 | FunctionDef *xla_fdef = fdl.add_function(); |
| 70 | TF_CHECK_OK(GraphToFunctionDef(*g, "f2", xla_fdef)); |
| 71 | } |
| 72 | { |
| 73 | // Function for While's "cond". |
| 74 | // "arg0" (T=DT_RESOURCE), "arg1" (T=DT_BOOL) |
| 75 | // "ret0" = "arg1" |
| 76 | tensorflow::Scope s = tensorflow::Scope::NewRootScope(); |
| 77 | Output arg0 = ops::_Arg(s.WithOpName("arg0"), DT_RESOURCE, 0); |
| 78 | Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_BOOL, 1); |
| 79 | auto ret0 = ops::_Retval(s.WithOpName("ret0"), arg1, 0); |
| 80 | std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); |
| 81 | TF_CHECK_OK(s.ToGraph(g.get())); |
| 82 | FunctionDef *xla_fdef = fdl.add_function(); |
| 83 | TF_CHECK_OK(GraphToFunctionDef(*g, "f3", xla_fdef)); |
| 84 | } |
| 85 | FunctionLibraryDefinition fld(OpRegistry::Global(), fdl); |
| 86 | |
| 87 | // Build the XLA computation graph. |
| 88 | // "arg0" (T=DT_RESOURCE), "arg1" (T=DT_INT32) |
| 89 | // "arg0", "arg1" -> "if" (If) -> "ret0", "ret1" |
| 90 | // "arg0", "arg1" -> "while" (While) -> "ret2", "ret3" |
| 91 | tensorflow::Scope s = tensorflow::Scope::NewRootScope(); |
| 92 | Output arg0 = ops::_Arg(s.WithOpName("arg0"), DT_RESOURCE, 0); |
| 93 | Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_BOOL, 1); |
| 94 | NameAttrList f; |
| 95 | f.set_name("f1"); |
| 96 | auto if_op = ops::If(s.WithOpName("if"), arg1, |
nothing calls this directly
no test coverage detected