Add

import std.stdio;
writeln("CAPI Graph test");

TF_Status* s = TF_NewStatus();
TF_Graph* graph = TF_NewGraph();

// Make a placeholder operation.
TF_Operation* feed = Placeholder(graph, s);
assertStatus(s);

// Test TF_Operation*() query functions.
assert(TF_OperationName(feed).fromStringz == "feed");
assert(TF_OperationOpType(feed).fromStringz == "Placeholder");
assert(TF_OperationDevice(feed).fromStringz == "");
assert(TF_OperationNumOutputs(feed) == 1);
assert(TF_OperationOutputType(TF_Output(feed, 0)) == TF_INT32);
assert(TF_OperationOutputListLength(feed, "output", s) == 1);
assertStatus(s);
assert(TF_OperationNumInputs(feed) == 0);
assert(TF_OperationOutputNumConsumers(TF_Output(feed, 0)) == 0);
assert(TF_OperationNumControlInputs(feed) == 0);
assert(TF_OperationNumControlOutputs(feed) == 0);

// TODO(karita): implement AttrValue type switching by `value_case`
AttrValue attrValue;
assert(GetAttrValue(feed, "dtype", &attrValue, s));
assert(attrValue.type == TENSORFLOW__DATA_TYPE__DT_INT32);

// Test not found errors in TF_Operation*() query functions.
assert(TF_OperationOutputListLength(feed, "bogus", s) == -1);
assert(TF_GetCode(s) == TF_INVALID_ARGUMENT);
assert(!GetAttrValue(feed, "missing", &attrValue, s));
assert(TF_Message(s).fromStringz ==
       "Operation 'feed' has no attr named 'missing'.");

// Make a constant oper with the scalar "3".
TF_Operation* three = ScalarConst(3, graph, s);
assertStatus(s);
// Add oper.
Add(feed, three, graph, s);
assertStatus(s);