private static Tensor op_helper <T>(string default_name, RefVariable x, T y)
{
var xVal = x.value();
return(tf_with(ops.name_scope(null, default_name, new { xVal, y }), scope =>
{
string name = scope;
var yTensor = ops.convert_to_tensor(y, xVal.dtype.as_base_dtype(), "y");
Tensor result = null;
switch (default_name)
{
case "add":
result = gen_math_ops.add(xVal, yTensor, name);
break;
case "sub":
result = gen_math_ops.sub(xVal, yTensor, name);
break;
default:
throw new NotImplementedException("");
}
return result;
}));
}
private static Tensor op_helper <T>(string default_name, RefVariable x, T y)
{
var tensor1 = x.value();
return(with(ops.name_scope(null, default_name, new { tensor1, y }), scope => {
var tensor2 = ops.convert_to_tensor(y, tensor1.dtype.as_base_dtype(), "y");
return gen_math_ops.add(tensor1, tensor2, scope);
}));
}