Esempio n. 1
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 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))
Esempio n. 2
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 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))
Esempio n. 3
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 def convert(value):
     if value is None:
         raise TypeError("None is not allowed.")
     else:
         return TypeConverters.toString(value)
Esempio n. 4
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 def convert(value):
     if value is None:
         return None
     else:
         return TypeConverters.toString(value)
Esempio n. 5
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 def convert(value):
     package = getattr(_jvm().ai.h2o.sparkling.ml.params, "H2OAlgoParamsHelper$")
     return package.__getattr__("MODULE$").getValidatedEnumValue(enumClass, TypeConverters.toString(value))
Esempio n. 6
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def _tensor_name(tensor):
    if isinstance(tensor, tf.Tensor):
        return _tensor_name(tensor.name)
    return TypeConverters.toString(tensor)