def toStringOrTFTensor(value):
if isinstance(value, tf.Tensor):
return value
else:
try:
return TypeConverters.toString(value)
except TypeError:
raise TypeError("Could not convert %s to tensorflow.Tensor or str" % type(value))
def toStringOrTFTensor(value):
if isinstance(value, tf.Tensor):
return value
else:
try:
return TypeConverters.toString(value)
except TypeError:
raise TypeError(
"Could not convert %s to tensorflow.Tensor or str" %
type(value))
def convert(value):
if value is None:
raise TypeError("None is not allowed.")
else:
return TypeConverters.toString(value)
def convert(value):
if value is None:
return None
else:
return TypeConverters.toString(value)
def convert(value):
package = getattr(_jvm().ai.h2o.sparkling.ml.params, "H2OAlgoParamsHelper$")
return package.__getattr__("MODULE$").getValidatedEnumValue(enumClass, TypeConverters.toString(value))
def _tensor_name(tensor):
if isinstance(tensor, tf.Tensor):
return _tensor_name(tensor.name)
return TypeConverters.toString(tensor)