def create_return_value_in_chainer_function():
return values.TensorValue()
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)
ret.dtype = value.dtype
ret.vtype = value.vtype
elif isinstance(value, values.NoneValue):
ret = values.NoneValue()
elif isinstance(value, values.TupleValue):
ret = values.TupleValue()
ret.dtype = value.dtype
ret.vtype = value.vtype
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_tensor_value_with_undefined_shape_size(value: 'values.TensorValue'):
assert(isinstance(value, values.TensorValue))
ret = values.TensorValue()
ret.shape = tuple([-1 for v in value.shape])
return ret
def return_NStepBiLSTM():
list_tensor = values.ListValue()
list_tensor.vtype = values.TensorValue
return [values.TensorValue(), values.TensorValue(), list_tensor]
