def return_value_or_ref(obj: 'value.Object'): if isinstance(obj.get_value(), values.NumberValue): return values.Object(obj.get_value()) if isinstance(obj.get_value(), values.StrValue): return values.Object(obj.get_value()) if isinstance(obj.get_value(), values.BoolValue): return values.Object(obj.get_value()) if isinstance(obj.get_value(), values.NoneValue): return values.Object(obj.get_value()) return obj
def veval_ast_name_constant(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. True ''' assert (isinstance(astc.nast, gast.gast.NameConstant)) lineprop = utils.LineProperty(astc.lineno) if astc.nast.value == True: return values.Object(values.BoolValue(True)) if astc.nast.value == False: return values.Object(values.BoolValue(False)) if astc.nast.value is None: return values.Object(values.BoolValue(False)) return None
def vcall(self, module: 'values.Field', graph: 'graphs.Graph', inst: 'values.Object', args=[], line=-1): ret = values.Object( values.UserDefinedInstance(module, None, self.classinfo)) inst = ret func_field = values.Field() func_field.set_module(module) # add self if inst is not None: self_func_arg = FunctionArg() self_func_arg.obj = inst args = [self_func_arg] + args # add args funcArgs = self.parse_args(args) for fa in funcArgs: func_field.get_field().get_attribute(fa.name).revise(fa.obj) astc = vevaluator.AstContext(self.ast.body, self.lineno - 1) vevaluator.veval_ast(astc, func_field, graph) return ret
def veval_ast_bin_op(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): """ eval binary operation. Ex. a + b, b // c, etc """ assert (isinstance(astc.nast, gast.gast.BinOp)) lineprop = utils.LineProperty(astc.lineno) left = veval_ast(astc.c(astc.nast.left), local_field, graph) right = veval_ast(astc.c(astc.nast.right), local_field, graph) left_value = try_get_value(left, 'compare', lineprop) right_value = try_get_value(right, 'compare', lineprop) binop = nodes.BinOpType.Unknown if isinstance(astc.nast.op, gast.Add): binop = nodes.BinOpType.Add if isinstance(astc.nast.op, gast.Sub): binop = nodes.BinOpType.Sub if isinstance(astc.nast.op, gast.Mult): binop = nodes.BinOpType.Mul node_bin_op = nodes.NodeBinOp(left_value, right_value, binop, astc.lineno) ret_value = veval_bin.veval(binop, left_value, right_value) node_bin_op.set_outputs([ret_value]) graph.add_node(node_bin_op) return values.Object(ret_value)
def veval_ast_unary_op(astc: 'AstContext', local_field: 'values.Field', graph: 'graphs.Graph'): """ eval unary operation. Ex. -xx """ assert (isinstance(astc.nast, gast.gast.UnaryOp)) lineprop = utils.LineProperty(astc.lineno) unaryop = nodes.UnaryOpType.Unknown if isinstance(astc.nast.op, gast.UAdd): unaryop = nodes.UnaryOpType.UAdd if isinstance(astc.nast.op, gast.USub): unaryop = nodes.UnaryOpType.USub if isinstance(astc.nast.op, gast.Not): unaryop = nodes.UnaryOpType.Not operand = veval_ast(astc.c(astc.nast.operand), local_field, graph) operand_value = try_get_value(operand, 'unary', lineprop) node = nodes.NodeUnaryOp(operand_value, unaryop) ret_value = veval_unary.veval(unaryop, operand_value) node.set_outputs([ret_value]) graph.add_node(node) return values.Object(ret_value)
def vcall(self, module : 'Field', graph : 'Graph', inst : 'values.Object', args = [], line = -1): node = nodes.NodeGenerate('range', [v.obj.get_value() for v in args], line) graph.add_node(node) value = values.RangeValue() value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) return values.Object(value)
def __init__(self): super().__init__() self.name = 'list' fa = functions.FunctionArg() fa.name = 'value' fa.obj = values.Object(values.NoneValue()) self.funcArgs.append(fa)
def veval_ast_tuple(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.Tuple)) vs = [] for v in astc.nast.elts: v_ = veval_ast(astc.c(v), local_field, graph) vs.append(v_) return values.Object(values.TupleValue(vs))
def veval_ast_str(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. "str" ''' assert (isinstance(astc.nast, gast.gast.Str)) lineprop = utils.LineProperty(astc.lineno) value = values.StrValue(astc.nast.s) return values.Object(value)
def veval_ast_num(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. 1, 2, ... ''' assert (isinstance(astc.nast, gast.gast.Num)) lineprop = utils.LineProperty(astc.lineno) value = values.NumberValue(astc.nast.n) return values.Object(value)
def vcall(self, module : 'Field', graph : 'Graph', inst : 'values.Object', args = [], line = -1): funcArgs = self.parse_args(args) vargs = self.get_values(funcArgs) node = nodes.NodeCall(self, vargs, line) graph.add_node(node) value = functions.generate_value_with_same_type(vargs[0]) value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) return values.Object(value)
def vcall(self, module : 'Field', graph : 'Graph', inst : 'values.Object', args : 'functions.FunctionArgInput', line = -1): node = nodes.NodeCall(self, [inst.get_value()], line) value = values.ListValue() value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) # TODO should make tuple graph.add_node(node) return values.Object(value)
def veval_ast_name_constant(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. True ''' assert (isinstance(astc.nast, gast.gast.NameConstant)) lineprop = utils.LineProperty(astc.lineno) ret = None if astc.nast.value == True: ret = values.Object(values.BoolValue(True)) if astc.nast.value == False: ret = values.Object(values.BoolValue(False)) if astc.nast.value is None: ret = values.Object(values.NoneValue()) name = utils.create_obj_value_name_with_constant( ret.get_value().internal_value) ret.name = name ret.get_value().name = name return ret
def vcall(self, module : 'Field', graph : 'Graph', inst : 'values.Object', args = [], line = -1): assert(len(args) == 0) node = nodes.NodeCall(self, [inst.get_value()] + [v.obj.get_value() for v in args], line) value = values.ListValue() value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) # TODO should make tuple graph.add_node(node) return values.Object(value)
def vcall(self, module : 'Field', graph : 'Graph', inst : 'values.Object', args : 'functions.FunctionArgInput', line = -1): funcArgs = self.args.merge_inputs(args) vargs = funcArgs.get_values() node = nodes.NodeCall(self, vargs, line) graph.add_node(node) #value = functions.generate_value_with_same_type(vargs[0]) value = values.TensorValue() value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) return values.Object(value)
def __init__(self): super().__init__() self.name = 'array' fa = functions.FunctionArg() fa.name = 'object' fa.obj = values.Object(values.NoneValue()) self.funcArgs.append(fa) fa = functions.FunctionArg() fa.name = 'dtype' fa.obj = values.Object(values.NoneValue()) self.funcArgs.append(fa) fa = functions.FunctionArg() fa.name = 'copy' fa.obj = values.Object(values.BoolValue(True)) self.funcArgs.append(fa) fa = functions.FunctionArg() fa.name = 'order' fa.obj = values.Object(values.StrValue('K')) self.funcArgs.append(fa) fa = functions.FunctionArg() fa.name = 'subok' fa.obj = values.Object(values.BoolValue(False)) self.funcArgs.append(fa) fa = functions.FunctionArg() fa.name = 'ndmin' fa.obj = values.Object(values.NumberValue(0)) self.funcArgs.append(fa)
def veval_ast_str(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. "str" ''' assert (isinstance(astc.nast, gast.gast.Str)) lineprop = utils.LineProperty(astc.lineno) value = values.StrValue(astc.nast.s) ret = values.Object(value) name = utils.create_obj_value_name_with_constant( ret.get_value().internal_value) ret.name = name ret.get_value().name = name return ret
def vcall(self, module : 'Field', graph : 'Graph', inst : 'values.Object', args = [], line = -1): funcArgs = self.parse_args(args) vargs = self.get_values(funcArgs) value = values.ListValue() if isinstance(vargs[0], values.NoneValue): node = nodes.NodeGenerate('List', [], line) graph.add_node(node) else: node = nodes.NodeConvert('List', vargs[0], line) graph.add_node(node) value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) return values.Object(value)
def vcall(self, module: 'values.Field', graph: 'Graph', inst: 'Object', args: 'functions.FunctionArgInput', line=-1): node = nodes.NodeCall(self, [v.get_value() for v in args.inputs], line) graph.add_node(node) value = values.TensorValue() estimate_shape = chainer_links[type(self.owner.inst)].estimate_shape if estimate_shape is not None: value.shape = estimate_shape(self.owner.inst, args) node.set_outputs([value]) return values.Object(value)
def vcall(self, module : 'Field', graph : 'Graph', inst : 'values.Object', args = [], line = -1): funcArgs = self.parse_args(args) vargs = self.get_values(funcArgs) dtype_value = vargs[1] if dtype_value is not None and not isinstance(dtype_value, values.NoneValue): # TODO : make better dtype = utils.int_2_numpy_type(dtype_value.internal_value) else: dtype = None node = nodes.NodeGenerate('array', vargs, line) graph.add_node(node) value = values.TensorValue() value.dtype = dtype value.name = '@F.{}.{}'.format(line, self.name) node.set_outputs([value]) return values.Object(value)
def veval_ast_compare(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): """ eval Compare. Ex. a >= b, a != b, a is b, etc """ assert (isinstance(astc.nast, gast.gast.Compare)) lineprop = utils.LineProperty(astc.lineno) left = veval_ast(astc.c(astc.nast.left), local_field, graph) right = veval_ast(astc.c(astc.nast.comparators[0]), local_field, graph) left_value = try_get_value(left, 'compare', lineprop) right_value = try_get_value(right, 'compare', lineprop) compare = nodes.CompareType.unknown if isinstance(astc.nast.ops[0], gast.Eq): compare = nodes.CompareType.Eq if isinstance(astc.nast.ops[0], gast.NotEq): compare = nodes.CompareType.NotEq if isinstance(astc.nast.ops[0], gast.Is): compare = nodes.CompareType.Is if isinstance(astc.nast.ops[0], gast.IsNot): compare = nodes.CompareType.IsNot if isinstance(astc.nast.ops[0], gast.Gt): compare = nodes.CompareType.Gt if isinstance(astc.nast.ops[0], gast.GtE): compare = nodes.CompareType.GtE if isinstance(astc.nast.ops[0], gast.Lt): compare = nodes.CompareType.Lt if isinstance(astc.nast.ops[0], gast.LtE): compare = nodes.CompareType.LtE node_compare = nodes.NodeCompare(left_value, right_value, compare, astc.lineno) ret_value = values.BoolValue(None) ret_value.name = '@{}'.format(lineprop) node_compare.set_outputs([ret_value]) graph.add_node(node_compare) return values.Object(ret_value)
def veval_ast_list(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.List)) ''' Ex. [],[x,y,z] TODO : Initializer ''' lineprop = utils.LineProperty(astc.lineno) elts = [] for elt in astc.nast.elts: elt_ = veval_ast(astc.c(elt), local_field, graph) elt_obj = try_get_obj(elt_, 'list', lineprop) elts.append(elt_obj) node = nodes.NodeGenerate('List', [elt.get_value() for elt in elts], lineprop) graph.add_node(node) value = values.ListValue() value.values.extend(elts) node.set_outputs([value]) return values.Object(value)
def vcall(self, module: 'values.Field', graph: 'Graph', inst: 'Object', args=[], line=-1): node = nodes.NodeCall(self, [v.obj.get_value() for v in args], line) graph.add_node(node) value = values.TensorValue() # TODO refactor if (isinstance(self.owner.inst, chainer.links.Linear)): cn = self.owner.inst # type: chainer.links.Linear if isinstance(args[0].obj.get_value(), values.TensorValue) and len( args[0].obj.get_value().shape) >= 2: value.shape = (args[0].obj.get_value().shape[0], cn.out_size) if (isinstance(self.owner.inst, chainer.links.Convolution2D)): value = functions.generate_tensor_value_with_undefined_shape_size( args[0].obj.get_value()) node.set_outputs([value]) return values.Object(value)
def veval_ast_for(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' for target in iter: ... ''' assert (isinstance(astc.nast, gast.gast.For)) lineprop = utils.LineProperty(astc.lineno) # for target in iter: iter_ = veval_ast(astc.c(astc.nast.iter), local_field, graph) # get target name target_name = '' if isinstance(astc.nast.target, gast.gast.Name): target_name = astc.nast.target.id else: if config.show_warnings: print('This for is not supported. in L.{}'.format(astc.lineno)) return None for_guid = utils.get_guid() for_id = 'for_' + str(for_guid) body_id = 'body_' + str(for_guid) values.push_history(for_id) # body body_graph = Graph() body_graph.name = 'Body_' + str(for_guid) counter_value = values.NumberValue(0) counter_value.name = 'for_counter_' + str(for_guid) cond_value = values.BoolValue(True) cond_value.name = 'for_cond_' + str(for_guid) iter_value = try_get_value(iter_, 'for', lineprop) # create a node to lookup a value from sequence node_forgen = nodes.NodeForGenerator(counter_value, iter_value) # estimate type # TODO : more types if isinstance(iter_value, values.RangeValue): target_value = values.NumberValue(None) target_value.dtype = np.array(0).dtype else: target_value = values.Value() target_obj = values.Object(target_value) node_forgen.set_outputs([target_value]) target_attribute = local_field.get_attribute(target_name) target_attribute.revise(target_obj) body_graph.add_node(node_forgen) # veval body body = veval_ast(astc.c(astc.nast.body), local_field, body_graph) value_inputs = values.get_inputs() value_outputs = values.get_outputs() values.pop_history() inputs = [] outputs = [] # default input for subgraph's input body_graph.add_input_value(counter_value) body_graph.add_input_value(cond_value) body_graph.add_input_value(iter_value) # default output for subgraph's output body_graph.add_output_value(cond_value) body_graph.add_output_value(iter_value) # default output outputs.append(functions.generate_value_with_same_type(iter_value)) # generate pairs value_pairs = {} for v in value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['input_value'] = v.input_value value_pairs[key]['input_body_value'] = v.value for v in value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['output_body_value'] = v.value for k, v in value_pairs.items(): name = v['name'] field = v['field'] if 'input_body_value' in v: inputs.append(v['input_value']) body_graph.add_input_value(v['input_body_value']) else: temp_value1 = functions.generate_value_with_same_type( v['output_body_value']) temp_value2 = functions.generate_value_with_same_type( v['output_body_value']) inputs.append(temp_value1) body_graph.add_input_value(temp_value2) if 'output_body_value' in v: body_graph.add_output_value(v['output_body_value']) output_value = functions.generate_value_with_same_type( v['output_body_value']) outputs.append(output_value) if field.get_attribute(name).has_obj(): field.get_attribute(name).get_obj().revise(output_value) else: field.get_attribute(name).revise(values.Object(output_value)) else: temp_value1 = v['input_body_value'] temp_value2 = functions.generate_value_with_same_type( v['input_body_value']) body_graph.add_output_value(temp_value1) outputs.append(temp_value2) node = nodes.NodeFor(iter_value, inputs, body_graph, astc.lineno) node.set_outputs(outputs) graph.add_node(node) return None
def veval_ast_listcomp(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. [x for x in xx] [elt for target in iter] ''' assert (isinstance(astc.nast, gast.gast.ListComp)) lineprop = utils.LineProperty(astc.lineno) listcomp_guid = str(utils.get_guid()) listcomp_id = 'listcomp_' + listcomp_guid body_id = 'listcomp_body_' + listcomp_guid internal_iter_id = '@internal/iter_' + listcomp_guid generator = astc.nast.generators[0] iter_value = try_get_value( veval_ast(astc.c(generator.iter), local_field, graph), 'generator', lineprop) list_value = values.ListValue() list_obj = values.Object(list_value) node_generate_list = nodes.NodeGenerate('List', [], lineprop) node_generate_list.set_outputs([list_value]) graph.add_node(node_generate_list) # body target_name = '' if isinstance(generator.target, gast.gast.Name): target_name = generator.target.id else: if config.show_warnings: print('This for is not supported. in L.{}'.format(astc.lineno)) return None counter_value = values.NumberValue(0) counter_value.name = 'listcomp_counter_' + listcomp_guid cond_value = values.BoolValue(True) cond_value.name = 'listcomp_cond_' + listcomp_guid body_field = values.Field() body_field.set_module(local_field.module) body_field.set_parent(local_field) # set iter with internal name body_field.get_attribute(internal_iter_id).revise(list_obj) values.commit(listcomp_id) body_graph = Graph() body_graph.name = 'Body_' + listcomp_guid node_forgen = nodes.NodeForGenerator(counter_value, iter_value) target_value = values.Value() target_obj = values.Object(target_value) node_forgen.set_outputs([target_value]) body_field.get_attribute(target_name).revise(target_obj) body_graph.add_node(node_forgen) elt = veval_ast(astc.c(astc.nast.elt), body_field, body_graph) elt_obj = try_get_obj(elt, 'listcomp', lineprop) farg = functions.FunctionArg() farg.name = '' farg.obj = elt_obj append_value = list_obj.get_field().get_attribute( 'append').get_obj().get_value() append_value.func.vcall(local_field.module, body_graph, list_obj, [farg], lineprop) values.commit(body_id) body_input_attributes = get_input_attritubtes( body_field, listcomp_id, body_id) + get_input_attritubtes( local_field, listcomp_id, body_id) body_output_attributes = get_output_attritubtes( body_field, listcomp_id, body_id) + get_output_attritubtes( local_field, listcomp_id, body_id) body_input_attributes = filter_attributes(body_input_attributes) body_output_attributes = filter_attributes(body_output_attributes) # get objects whose values are changed value_changed_objs = get_output_objs(body_field, listcomp_id, body_id) + get_output_objs( local_field, listcomp_id, body_id) changed_values = {} for obj in value_changed_objs: in_value = obj.get_value_log(listcomp_id) out_value = obj.get_value_log(body_id) changed_values[in_value] = (obj, out_value) output_attributes_2_values = {} for attribute in body_output_attributes: output_attributes_2_values[attribute] = attribute.get_obj().get_value() # get inputs values.checkout(listcomp_id) input_attributes_2_values = {} for attribute in body_input_attributes: input_attributes_2_values[attribute] = attribute.get_obj().get_value() # Exports values.checkout(listcomp_id) # generate attribute pairs name2attributes = {} for attribute in body_input_attributes: key = str(attribute.parent.id) + '_' + attribute.name if key in name2attributes.keys(): name2attributes[key][0] = attribute else: name2attributes[key] = [attribute, None] for attribute in body_output_attributes: key = str(attribute.parent.id) + '_' + attribute.name if key in name2attributes.keys(): name2attributes[key][1] = attribute else: name2attributes[key] = [None, attribute] # remove defaule values name_removing = [] defaule_values = [counter_value, cond_value, iter_value] for k, v in name2attributes.items(): if v[0] is not None and input_attributes_2_values[ v[0]] in defaule_values: name_removing.append(k) if v[1] is not None and output_attributes_2_values[ v[1]] in defaule_values: name_removing.append(k) for nr in name_removing: if nr in name2attributes.keys(): name2attributes.pop(nr) # inputs = [] outputs = [] non_volatiles = [] # default input for subgraph's input body_graph.add_input_value(counter_value) body_graph.add_input_value(cond_value) body_graph.add_input_value(iter_value) # default output for subgrap's output body_graph.add_output_value(cond_value) body_graph.add_output_value(iter_value) # default output outputs.append(functions.generate_value_with_same_type(iter_value)) for attributes in name2attributes.values(): name = '' parent = None input_value = None output_value = None if attributes[0] is not None: name = attributes[0].name parent = attributes[0].parent if attributes[1] is not None: name = attributes[1].name parent = attributes[1].parent if attributes[0] is not None: input_value = input_attributes_2_values[attributes[0]] else: # value with same type input_value = functions.generate_value_with_same_type( output_attributes_2_values[attributes[1]]) if attributes[1] is not None: output_value = output_attributes_2_values[attributes[1]] else: if input_attributes_2_values[ attributes[0]] in changed_values.keys(): # change only values output_value = changed_values[input_attributes_2_values[ attributes[0]]] else: # copy value output_value = input_attributes_2_values[attributes[0]] output_value_in_node = functions.generate_value_with_same_type( output_value) inputs.append(input_value) outputs.append(output_value_in_node) body_graph.add_input_value(input_value) body_graph.add_output_value(output_value) if attributes[1] is not None and attributes[1].is_non_volatile: non_volatiles.append( (attribute[1].initial_obj.get_value(), output_value_in_node)) output_obj_in_node = values.Object(output_value_in_node) parent.get_attribute(name).revise(output_obj_in_node) for changed_value_in, changed_obj_value_out in changed_values.items(): if changed_value_in is None: continue if changed_value_in in inputs: continue inputs.append(changed_value_in) body_graph.add_input_value(changed_value_in) body_graph.add_output_value(changed_obj_value_out[1]) value = functions.generate_value_with_same_type( changed_obj_value_out[1]) changed_obj_value_out[0].revise(value) outputs.append(value) node = nodes.NodeListcomp(iter_value, inputs, body_graph, astc.lineno) node.set_outputs(outputs) graph.add_node(node) # add non-volatiles for tv, v in non_volatiles: node_nv = nodes.NodeNonVolatileAssign(tv, v) graph.add_node(node_nv) if body_field.get_attribute(internal_iter_id).has_obj(): return body_field.get_attribute(internal_iter_id).get_obj() else: return list_obj
def veval_ast_listcomp(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. [x for x in xx] [elt for target in iter] ''' assert (isinstance(astc.nast, gast.gast.ListComp)) lineprop = utils.LineProperty(astc.lineno) listcomp_guid = str(utils.get_guid()) listcomp_id = 'listcomp_' + listcomp_guid body_id = 'listcomp_body_' + listcomp_guid internal_counter_id = '@internal/counter_' + listcomp_guid internal_list_id = '@internal/list_' + listcomp_guid internal_cond_id = '@internal/cond_' + listcomp_guid generator = astc.nast.generators[0] iter_value = try_get_value( veval_ast(astc.c(generator.iter), local_field, graph), 'generator', lineprop) list_value = values.ListValue() list_obj = values.Object(list_value) node_generate_list = nodes.NodeGenerate('List', [], lineprop) node_generate_list.set_outputs([list_value]) graph.add_node(node_generate_list) # body target_name = '' if isinstance(generator.target, gast.gast.Name): target_name = generator.target.id else: if config.show_warnings: print('This for is not supported. in L.{}'.format(astc.lineno)) return None counter_value = values.NumberValue(0) counter_value.name = internal_counter_id cond_value = values.BoolValue(True) cond_value.name = internal_cond_id # set values with internal name local_field.get_attribute(internal_list_id).revise(list_obj) values.push_history(listcomp_id) body_graph = Graph() body_graph.name = 'Body_' + listcomp_guid node_forgen = nodes.NodeForGenerator(counter_value, iter_value) target_value = values.Value() target_obj = values.Object(target_value) node_forgen.set_outputs([target_value]) local_field.get_attribute(target_name).revise(target_obj) body_graph.add_node(node_forgen) elt = veval_ast(astc.c(astc.nast.elt), local_field, body_graph) elt_obj = try_get_obj(elt, 'listcomp', lineprop) finput = functions.FunctionArgInput() finput.inputs.append(elt_obj) append_value = local_field.get_attribute(internal_list_id).get_obj( ).get_field().get_attribute('append').get_obj().get_value() append_value.func.vcall( local_field.module, body_graph, local_field.get_attribute(internal_list_id).get_obj(), finput, lineprop) value_inputs = values.get_inputs() value_outputs = values.get_outputs() values.pop_history() inputs = [] outputs = [] # default input for subgraph's input body_graph.add_input_value(counter_value) body_graph.add_input_value(cond_value) body_graph.add_input_value(iter_value) # default output for subgraph's output body_graph.add_output_value(cond_value) body_graph.add_output_value(iter_value) # default output outputs.append(functions.generate_value_with_same_type(iter_value)) # generate pairs value_pairs = {} for v in value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['input_value'] = v.input_value value_pairs[key]['input_body_value'] = v.value for v in value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['output_body_value'] = v.value # remove iterator removed_name = str(local_field.id) + '_' + target_value.name del value_pairs[removed_name] for k, v in value_pairs.items(): name = v['name'] field = v['field'] if 'input_body_value' in v: inputs.append(v['input_value']) body_graph.add_input_value(v['input_body_value']) else: temp_value1 = functions.generate_value_with_same_type( v['output_body_value']) temp_value2 = functions.generate_value_with_same_type( v['output_body_value']) inputs.append(temp_value1) body_graph.add_input_value(temp_value2) if 'output_body_value' in v: body_graph.add_output_value(v['output_body_value']) output_value = functions.generate_value_with_same_type( v['output_body_value']) outputs.append(output_value) if field.get_attribute(name).has_obj(): field.get_attribute(name).get_obj().revise(output_value) else: field.get_attribute(name).revise(values.Object(output_value)) else: temp_value1 = v['input_body_value'] temp_value2 = functions.generate_value_with_same_type( v['input_body_value']) body_graph.add_output_value(temp_value1) outputs.append(temp_value2) node = nodes.NodeListcomp(iter_value, inputs, body_graph, astc.lineno) node.set_outputs(outputs) graph.add_node(node) return local_field.get_attribute(internal_list_id).get_obj()
def veval_ast_subscript(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): ''' Ex. x[1], x[y,z] ''' assert (isinstance(astc.nast, gast.gast.Subscript)) lineprop = utils.LineProperty(astc.lineno) def veval_with_default(nast, default_value): if nast is None: ret = values.NumberValue(default_value) ret.name = '@SliceDefault' return ret obj = veval_ast(astc.c(nast), local_field, graph) return try_get_value(obj, 'subscript', lineprop) def get_slice_indices(slice): if slice.lower is None and slice.upper is None and slice.step is None: return [] indices = [ veval_with_default(slice.lower, 0), veval_with_default(slice.upper, utils.slice_int_max) ] if slice.step is not None: indices.append(veval_with_default(slice.step, 1)) return indices value = veval_ast(astc.c(astc.nast.value), local_field, graph) value_value = try_get_value(value, 'subscript', lineprop) if isinstance(astc.nast.slice, gast.gast.Index): slice_ = veval_ast(astc.c(astc.nast.slice.value), local_field, graph) slice_value = try_get_value(slice_, 'subscript', lineprop) if isinstance(slice_value, values.TupleValue): # ex. x[1,2] values_ = [ try_get_value(x, 'subscript', lineprop) for x in slice_value.values ] node = nodes.NodeGetItem(value_value, values_) else: # ex. x[1] node = nodes.NodeGetItem(value_value, [slice_value]) ret_value = values.Value() node.set_outputs([ret_value]) graph.add_node(node) return values.Object(ret_value) elif isinstance(astc.nast.slice, gast.gast.Slice): indices = get_slice_indices(astc.nast.slice) node = nodes.NodeSlice(value_value, indices, [len(indices)]) ret_value = functions.generate_value_with_same_type(value_value) node.set_outputs([ret_value]) graph.add_node(node) return values.Object(ret_value) elif isinstance(astc.nast.slice, gast.gast.ExtSlice): indices = [] slice_specs = [] for dim in astc.nast.slice.dims: if isinstance(dim, gast.gast.Index): indices.append( try_get_value( veval_ast(astc.c(dim.value), local_field, graph), 'subscript', lineprop)) slice_specs.append(1) elif isinstance(dim, gast.gast.Slice): ni = get_slice_indices(dim) indices.extend(ni) slice_specs.append(len(ni)) else: assert False, 'Unknown slice: %s in %s' % (dim, nast.slice) node = nodes.NodeSlice(value_value, indices, slice_specs) ret_value = functions.generate_value_with_same_type(value_value) node.set_outputs([ret_value]) graph.add_node(node) return values.Object(ret_value) return None
def veval_ast_if(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.If)) lineprop = utils.LineProperty(astc.lineno) # if condition test = veval_ast(astc.c(astc.nast.test), local_field, graph) test_value = try_get_value(test, 'if', lineprop) id_str = str(utils.get_guid()) if_id = 'if_' + id_str true_id = 'true_' + id_str false_id = 'false_' + id_str # True values.push_history(true_id) true_graph = Graph() true_graph.name = 'True' body = veval_ast(astc.c(astc.nast.body), local_field, true_graph) true_value_inputs = values.get_inputs() true_value_outputs = values.get_outputs() values.pop_history() # False values.push_history(false_id) false_graph = Graph() false_graph.name = 'False' body = veval_ast(astc.c(astc.nast.orelse), local_field, false_graph) false_value_inputs = values.get_inputs() false_value_outputs = values.get_outputs() values.pop_history() # generate pairs value_pairs = {} for v in true_value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['true_input_value'] = v.input_value value_pairs[key]['true_input_body_value'] = v.value for v in true_value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['true_output_body_value'] = v.value for v in false_value_inputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['false_input_value'] = v.input_value value_pairs[key]['false_input_body_value'] = v.value for v in false_value_outputs: key = str(v.field.id) + '_' + v.name if not (key in value_pairs.keys()): value_pairs[key] = {} value_pairs[key]['field'] = v.field value_pairs[key]['name'] = v.name value_pairs[key]['false_output_body_value'] = v.value inputs = [] outputs = [] for k, v in value_pairs.items(): name = v['name'] field = v['field'] input_value = None true_input_body_value = None false_input_body_value = None if 'true_input_value' in v: input_value = v['true_input_value'] elif 'false_input_value' in v: input_value = v['false_input_value'] if input_value is not None: if 'true_input_body_value' in v: true_input_body_value = v['true_input_body_value'] else: true_input_body_value = functions.generate_value_with_same_type( input_value) if 'false_input_body_value' in v: false_input_body_value = v['false_input_body_value'] else: false_input_body_value = functions.generate_value_with_same_type( input_value) true_output_body_value = None false_output_body_value = None output_value = None if 'true_output_body_value' in v: true_output_body_value = v['true_output_body_value'] else: true_output_body_value = true_input_body_value if 'false_output_body_value' in v: false_output_body_value = v['false_output_body_value'] else: false_output_body_value = false_input_body_value # TODO check types between true and false if true_output_body_value is not None or false_output_body_value is not None: output_value = functions.generate_value_with_same_type( true_output_body_value) if input_value is not None: inputs.append(input_value) true_graph.add_input_value(true_input_body_value) false_graph.add_input_value(false_input_body_value) if output_value is not None: outputs.append(output_value) true_graph.add_output_value(true_output_body_value) false_graph.add_output_value(false_output_body_value) if field.get_attribute(name).has_obj(): field.get_attribute(name).get_obj().revise(output_value) else: field.get_attribute(name).revise(values.Object(output_value)) node = nodes.NodeIf(test_value, inputs, true_graph, false_graph, astc.lineno) node.set_outputs(outputs) graph.add_node(node) return None
def convert_model(model: 'chainer.Chain', args=[]): # reset values values.reset_field_and_attributes() utils.reset_guid() # generate default module default_module = values.Module(sys.modules[model.__module__]) # chainer.functions chainer_functions_module_name = get_module_name( F, default_module.internal_module) if chainer_functions_module_name != '': f_dict = values.Object(values.ModuleValue()) f_relu = values.FuncValue(functions_builtin.ReluFunction(), None) f_dict.get_field().get_attribute('relu').revise(values.Object(f_relu)) f_softmax = values.FuncValue(functions_builtin.SoftmaxFunction(), None) f_dict.get_field().get_attribute('softmax').revise( values.Object(f_softmax)) default_module.set_default_value(chainer_functions_module_name, f_dict) m_range = values.FuncValue(functions_builtin.RangeFunction(), None) default_module.set_default_value('range', values.Object(m_range)) model_inst = values.parse_instance(default_module, '', model) forward_func = model_inst.try_get_and_store_obj('forward') # convert args value_args = [] function_args = [] ind = 0 for arg in args: varg = values.parse_instance(default_module, '', arg, None, True) varg.name = 'in_' + str(ind) varg.get_value().name = 'in_' + str(ind) farg = functions.FunctionArg() farg.obj = varg value_args.append(varg.get_value()) function_args.append(farg) ind += 1 graph = Graph() forward_func_value = forward_func.get_value() ret = forward_func_value.func.vcall(default_module, graph, forward_func_value.obj, function_args) assert (ret is None or isinstance(ret, values.Object)) ret_ = [] if isinstance(ret.get_value(), values.TupleValue): ret_.extend([v.get_obj().get_value() for v in ret.get_value().values]) elif isinstance(ret, list): ret_ = [r.get_value() for r in ret] else: ret_ = [ret.get_value()] for v in value_args: graph.add_input_value(v) for v in ret_: graph.add_output_value(v) return (value_args, ret_, graph)
def veval_ast_if(astc: 'AstContext', local_field: 'values.Field', graph: 'Graph'): assert (isinstance(astc.nast, gast.gast.If)) lineprop = utils.LineProperty(astc.lineno) # if condition test = veval_ast(astc.c(astc.nast.test), local_field, graph) test_value = try_get_value(test, 'if', lineprop) id_str = str(utils.get_guid()) if_id = 'if_' + id_str true_id = 'true_' + id_str false_id = 'false_' + id_str values.commit(if_id) # True condition values.checkout(if_id) true_graph = Graph() true_graph.name = 'True' body = veval_ast(astc.c(astc.nast.body), local_field, true_graph) values.commit(true_id) true_input_attributes = get_input_attritubtes(local_field, if_id, true_id) true_output_attributes = get_output_attritubtes(local_field, if_id, true_id) true_output_objs = get_output_objs(local_field, if_id, true_id) #TODO(durswd): improve true_input_attributes = filter_attributes(true_input_attributes) true_output_attributes = filter_attributes(true_output_attributes) true_output_attributes_2_values = {} for attribute in true_output_attributes: true_output_attributes_2_values[attribute] = attribute.get_obj( ).get_value() # False condition values.checkout(if_id) false_graph = Graph() false_graph.name = 'False' orelse = veval_ast(astc.c(astc.nast.orelse), local_field, false_graph) values.commit(false_id) false_input_attributes = get_input_attritubtes(local_field, if_id, false_id) false_output_attributes = get_output_attritubtes(local_field, if_id, false_id) false_output_objs = get_output_objs(local_field, if_id, false_id) #TODO(durswd): improve false_input_attributes = filter_attributes(false_input_attributes) false_output_attributes = filter_attributes(false_output_attributes) false_output_attributes_2_values = {} for attribute in false_output_attributes: false_output_attributes_2_values[attribute] = attribute.get_obj( ).get_value() # Merge values.checkout(if_id) # Input input_attributes = set(true_input_attributes) | set(false_input_attributes) # remove unexisting values input_attributes = [v for v in input_attributes if v.has_obj()] input_values = [i.get_obj().get_value() for i in input_attributes] # Output name2output_attributes = {} # generate attribute pairs for attribute in true_output_attributes: key = str(attribute.parent.id) + '_' + attribute.name if key in name2output_attributes.keys(): name2output_attributes[key][0] = attribute else: name2output_attributes[key] = [attribute, None] for attribute in false_output_attributes: key = str(attribute.parent.id) + '_' + attribute.name if key in name2output_attributes.keys(): name2output_attributes[key][1] = attribute else: name2output_attributes[key] = [None, attribute] obj2output_values = {} for obj in true_output_objs: if obj.get_value() == None: continue key = obj value = obj.get_value_log(true_id) if key in obj2output_values.keys(): obj2output_values[key][0] = value else: obj2output_values[key] = [value, None] for obj in false_output_objs: if obj.get_value() == None: continue key = obj value = obj.get_value_log(false_id) if key in obj2output_values.keys(): obj2output_values[key][1] = value else: obj2output_values[key] = [None, value] output_attributes = set(true_output_attributes) | set( false_output_attributes) output_values = [] non_volatiles = [] for attribute_pair in name2output_attributes.values(): true_attribute, false_attribute = attribute_pair name = '' parent = None # type: values.Field if true_attribute is not None: name = true_attribute.name parent = true_attribute.parent if false_attribute is not None: name = false_attribute.name parent = false_attribute.parent if true_attribute is not None: true_value = true_output_attributes_2_values[true_attribute] else: if parent.has_attribute(name): true_value = parent.get_attribute(name).get_obj().get_value() if not true_value in input_values: input_values.append(true_value) else: # TODO : it should be better # case # if xxx: # y = 10 # print(y) true_value = false_output_attributes_2_values[false_attribute] if false_attribute is not None: false_value = false_output_attributes_2_values[false_attribute] else: if parent.has_attribute(name): false_value = parent.get_attribute(name).get_obj().get_value() if not false_value in input_values: input_values.append(false_value) else: # TODO : it should be better # case # if xxx: # y = 10 # print(y) false_value = true_output_attributes_2_values[true_attribute] true_graph.add_output_value(true_value) false_graph.add_output_value(false_value) if true_attribute is not None and false_attribute is not None and true_attribute != false_attribute: # dynamic value = functions.generate_value_with_same_type(true_value) output_values.append(value) parent.get_attribute(name).revise(values.Object(value)) elif true_attribute is not None and false_attribute is not None: # change both value = functions.generate_value_with_same_type(true_value) output_values.append(value) if parent.get_attribute(name).is_non_volatile: non_volatiles.append( (parent.get_attribute(name).initial_obj.get_value(), value)) parent.get_attribute(name).revise(values.Object(value)) elif true_attribute in input_attributes: value = functions.generate_value_with_same_type(true_value) if parent.get_attribute(name).is_non_volatile: non_volatiles.append( (parent.get_attribute(name).initial_obj.get_value(), value)) output_values.append(value) parent.get_attribute(name).revise(values.Object(value)) else: value = functions.generate_value_with_same_type(false_value) if parent.get_attribute(name).is_non_volatile: non_volatiles.append( (parent.get_attribute(name).initial_obj.get_value(), value)) output_values.append(value) parent.get_attribute(name).revise(values.Object(value)) for input_value in input_values: true_graph.add_input_value(input_value) false_graph.add_input_value(input_value) for obj, values_pairs in obj2output_values.items(): if not obj.get_value() in input_values: input_values.append(obj.get_value()) value = None true_value = None false_value = None if values_pairs[0] is not None: value = values_pairs[0] true_value = values_pairs[0] if values_pairs[1] is not None: value = values_pairs[1] false_value = values_pairs[1] if true_value is None: true_value = obj.get_value() if false_value is None: false_value = obj.get_value() value = functions.generate_value_with_same_type(value) obj.revise(value) output_values.append(value) true_graph.add_output_value(true_value) false_graph.add_output_value(false_value) node = nodes.NodeIf(test_value, input_values, true_graph, false_graph, astc.lineno) node.set_outputs(output_values) graph.add_node(node) # add non-volatiles for tv, v in non_volatiles: node_nv = nodes.NodeNonVolatileAssign(tv, v) graph.add_node(node_nv) return None