예제 #1
0
def compute_argument_yaml(a: Argument, *, schema_order: bool,
                          kwarg_only_set: Set[str], out_arg_set: Set[str],
                          name_to_field_name: Dict[str, str]) -> object:
    arg: Dict[str, object] = {
        'annotation': str(a.annotation) if a.annotation else None,
        'dynamic_type': dynamic_type(a.type),
        'is_nullable': a.type.is_nullable(),
        'name': a.name,
        'type': cpp.argument_type(a),
    }
    if a.default is not None:
        arg['default'] = pythonify_default(cpp.default_expr(a.default, a.type))
    if a.name in kwarg_only_set:
        arg['kwarg_only'] = True
    if a.name in out_arg_set:
        arg['output'] = True
        arg['allocate'] = True
        # See Note [name and field_name]
        if a.name in name_to_field_name:
            arg['field_name'] = name_to_field_name[a.name]
    # Historically, booleans don't get their size recorded, because it
    # is already built into the cpp type (e.g., std::array<bool, 4>)
    l = a.type.is_list_like()
    if l is not None and l.size is not None and str(l.elem) != 'bool':
        arg['size'] = l.size
    return arg
    def gen_differentiable_input(
        arg: Union[Argument, SelfArgument, TensorOptionsArguments]
    ) -> Optional[DifferentiableInput]:
        if isinstance(arg, TensorOptionsArguments):
            return None
        a: Argument = arg.argument if isinstance(arg, SelfArgument) else arg

        # TODO: `cpp_type` is only to keep it byte-for-byte compatible with the old codegen, should remove.
        # NB: This is not a clone of cpp.argument() - TensorOptionsArguments / faithful / binds are
        # not handled properly as they are irrelevant for this codegen.
        cpp_type = cpp.argument_type(a, binds=a.name).cpp_type()

        if not is_differentiable(a.name, a.type, info):
            return None
        return DifferentiableInput(
            name=a.name,
            type=a.type,
            cpp_type=cpp_type,
        )
예제 #3
0
파일: gen.py 프로젝트: wzjahucm/pytorch
def compute_argument_yaml(a: Argument, *, schema_order: bool, kwarg_only_set: Set[str],
                          out_arg_set: Set[str], name_to_field_name: Dict[str, str]) -> object:
    arg: Dict[str, object] = {
        'annotation': str(a.annotation) if a.annotation else None,
        'dynamic_type': dynamic_type(a.type),
        'is_nullable': a.type.is_nullable(),
        'name': a.name,
        'type': cpp.argument_type(a),
    }
    if a.default is not None:
        arg['default'] = pythonify_default(cpp.default_expr(a.default, a.type))
    if a.name in kwarg_only_set:
        arg['kwarg_only'] = True
    # See Note [Byte-for-byte compatibility]
    # The default value of kwarg_only is False; this case exists for
    # byte-for-byte compatibility
    elif a.name in out_arg_set:
        arg['kwarg_only'] = False
    if a.name in out_arg_set:
        arg['output'] = True
        # See Note [Byte-for-byte compatibility]
        # This is probably a bug in the original implementation, where
        # the specification of allocate was not properly propagated to
        # the schema-order arguments.  In any case, this field
        # is redundant with the output field
        if not schema_order:
            arg['allocate'] = True
        # See Note [name and field_name]
        if a.name in name_to_field_name:
            arg['field_name'] = name_to_field_name[a.name]
    # Historically, booleans don't get their size recorded, because it
    # is already built into the cpp type (e.g., std::array<bool, 4>)
    l = a.type.is_list_like()
    if l is not None and l.size is not None and str(l.elem) != 'bool':
        arg['size'] = l.size
    return arg