def generate_value_with_same_type(value : 'values.Value'): if isinstance(value, values.TensorValue): ret = values.TensorValue() ret.shape = value.shape return ret if isinstance(value, values.NumberValue): ret = values.NumberValue(None) return ret if isinstance(value, values.StrValue): ret = values.StrValue(None) return ret if isinstance(value, values.BoolValue): ret = values.BoolValue(None) return ret if isinstance(value, values.ListValue): ret = values.ListValue(None) return ret if isinstance(value, values.NoneValue): ret = values.NoneValue() return ret if isinstance(value, values.Value): ret = values.Value() return ret return None
def generate_value_with_same_type(value: 'values.Value'): assert (isinstance(value, values.Value)) ret = None if isinstance(value, values.TensorValue): ret = values.TensorValue() ret.shape = value.shape if isinstance(value, values.NumberValue): ret = values.NumberValue(None) if isinstance(value, values.StrValue): ret = values.StrValue(None) if isinstance(value, values.BoolValue): ret = values.BoolValue(None) if isinstance(value, values.ListValue): ret = values.ListValue(None) if isinstance(value, values.NoneValue): ret = values.NoneValue() if ret is None and isinstance(value, values.Value): ret = values.Value() if ret is not None: ret.name = value.name + '_st' return ret
def generate_copied_value(value : 'values.Value'): if isinstance(value, values.NumberValue): copied = values.NumberValue(value.internal_value) return copied if isinstance(value, values.TensorValue): copied = values.TensorValue() copied.shape = value.shape return copied if isinstance(value, values.NoneValue): copied = values.NoneValue() return copied if isinstance(value, values.BoolValue): copied = values.BoolValue(value.internal_value) return copied if isinstance(value, values.StrValue): copied = values.StrValue(value.internal_value) return copied if isinstance(value, values.RangeValue): copied = values.RangeValue() return copied if isinstance(value, values.TupleValue): copied = values.TupleValue(value.values) return copied if config.show_warnings: print('Unknown type {} is copied'.format(value)) return values.Value()
def __init__(self): super().__init__() self.name = 'full' self.args.add_arg('shape', values.NoneValue()) self.args.add_arg('fill_value', values.NoneValue()) self.args.add_arg('dtype', values.NoneValue()) self.args.add_arg('order', values.StrValue('C'))
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 generate_value_with_same_type(value: 'values.Value'): assert (isinstance(value, values.Value)) ret = None if isinstance(value, values.TensorValue): ret = values.TensorValue() ret.shape = value.shape if isinstance(value, values.NumberValue): ret = values.NumberValue(None) if value.internal_value is None: ret.dtype = value.dtype elif isinstance(value.internal_value, int): ret.dtype = np.array(value.internal_value).dtype elif isinstance(value.internal_value, float): ret.dtype = np.array(value.internal_value).dtype if isinstance(value, values.StrValue): ret = values.StrValue(None) if isinstance(value, values.BoolValue): ret = values.BoolValue(None) if isinstance(value, values.ListValue): ret = values.ListValue(None) if isinstance(value, values.NoneValue): ret = values.NoneValue() if ret is None and isinstance(value, values.Value): ret = values.Value() if ret is not None: ret.name = value.name + '_st' return ret
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 __init__(self): super().__init__() self.name = 'array' self.args.add_arg('object', values.NoneValue()) self.args.add_arg('dtype', values.NoneValue()) self.args.add_arg('copy', values.BoolValue(True)) self.args.add_arg('order', values.StrValue('K')) self.args.add_arg('subok', values.BoolValue(False)) self.args.add_arg('ndmin', values.NumberValue(0))
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.ValueRef(value) name = values.create_ref_value_name_with_constant(ret) ret.name = name ret.get_value().name = name return ret
def generate_copied_value(value: 'values.Value'): assert (isinstance(value, values.Value)) if isinstance(value, values.NumberValue): copied = values.NumberValue(value.internal_value) copied.dtype = value.dtype return copied if isinstance(value, values.TensorValue): copied = values.TensorValue() copied.value = value.value copied.shape = value.shape copied.dtype = value.dtype return copied if isinstance(value, values.ListValue): copied = values.ListValue() copied.is_any = value.is_any if value.internal_value is not None: copied.internal_value = value.internal_value.copy() return copied if isinstance(value, values.NoneValue): copied = values.NoneValue() return copied if isinstance(value, values.BoolValue): copied = values.BoolValue(value.internal_value) return copied if isinstance(value, values.StrValue): copied = values.StrValue(value.internal_value) return copied if isinstance(value, values.RangeValue): copied = values.RangeValue() return copied if isinstance(value, values.TupleValue): if value.internal_value is not None: copied = values.TupleValue(value.internal_value.copy()) else: copied = values.TupleValue(value.internal_value) return copied if config.show_warnings: print('Unknown type {} is copied'.format(value)) return values.Value()
def generate_value_with_same_type(value: 'values.Value', is_dummy_value=False, suffix_type=SuffixType.Unknown): assert (isinstance(value, values.Value)) ret = None if isinstance(value, values.TensorValue): ret = values.TensorValue() ret.shape = value.shape ret.dtype = value.dtype elif isinstance(value, values.NumberValue): dtype = None if value.internal_value is None: dtype = value.dtype elif isinstance(value.internal_value, int): dtype = np.array(value.internal_value).dtype elif isinstance(value.internal_value, float): dtype = np.array(value.internal_value).dtype ret = values.NumberValue(None) ret.dtype = dtype elif isinstance(value, values.StrValue): ret = values.StrValue(None) elif isinstance(value, values.BoolValue): ret = values.BoolValue(None) elif isinstance(value, values.ListValue): ret = values.ListValue(None) elif isinstance(value, values.NoneValue): ret = values.NoneValue() elif isinstance(value, values.TupleValue): ret = values.TupleValue() elif isinstance(value, values.RangeValue): ret = values.RangeValue() elif isinstance(value, values.UnknownValue): ret = values.UnknownValue() elif ret is None and isinstance(value, values.Value): ret = values.Value() else: assert (False) assert (ret is not None) ret.is_dummy_value = is_dummy_value if suffix_type == SuffixType.Unknown: ret.name = value.name + '_st' elif suffix_type == SuffixType.Unused: ret.name = value.name + '_unused' elif suffix_type == SuffixType.Dummy: ret.name = value.name + '_dummy' elif suffix_type == SuffixType.Input: ret.name = value.name + '_in' else: assert (False) return ret
def generate_value_with_same_type(value: 'values.Value', has_default=False, suffix_type=SuffixType.Unknown): assert (isinstance(value, values.Value)) ret = None if isinstance(value, values.TensorValue): ret = values.TensorValue() ret.shape = value.shape ret.dtype = value.dtype if isinstance(value, values.NumberValue): dtype = None if value.internal_value is None: dtype = value.dtype elif isinstance(value.internal_value, int): dtype = np.array(value.internal_value).dtype elif isinstance(value.internal_value, float): dtype = np.array(value.internal_value).dtype if has_default: if dtype == np.array(0).dtype: ret = values.NumberValue(0) elif dtype == np.array(0.0).dtype: ret = values.NumberValue(0.0) else: ret = values.NumberValue(None) else: ret = values.NumberValue(None) ret.dtype = dtype if isinstance(value, values.StrValue): if has_default: ret = values.StrValue('') else: ret = values.StrValue(None) if isinstance(value, values.BoolValue): if has_default: ret = values.BoolValue(False) else: ret = values.BoolValue(None) if isinstance(value, values.ListValue): ret = values.ListValue(None) if isinstance(value, values.NoneValue): ret = values.NoneValue() if isinstance(value, values.TupleValue): ret = values.TupleValue() if isinstance(value, values.UnknownValue): ret = values.UnknownValue() if has_default: ret.internal_value = 0 if ret is None and isinstance(value, values.Value): ret = values.Value() if ret is not None: if suffix_type == SuffixType.Unknown: ret.name = value.name + '_st' if suffix_type == SuffixType.Unused: ret.name = value.name + '_unused' return ret