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path: "tensorflow.DType"
tf_class {
is_instance: "<class \'tensorflow.python.framework.dtypes.DType\'>"
is_instance: "<type \'object\'>"
member {
name: "as_datatype_enum"
mtype: "<type \'property\'>"
}
member {
name: "as_numpy_dtype"
mtype: "<type \'property\'>"
}
member {
name: "base_dtype"
mtype: "<type \'property\'>"
}
member {
name: "is_bool"
mtype: "<type \'property\'>"
}
member {
name: "is_complex"
mtype: "<type \'property\'>"
}
member {
name: "is_floating"
mtype: "<type \'property\'>"
}
member {
name: "is_integer"
mtype: "<type \'property\'>"
}
member {
name: "is_numpy_compatible"
mtype: "<type \'property\'>"
}
member {
name: "is_quantized"
mtype: "<type \'property\'>"
}
member {
name: "is_unsigned"
mtype: "<type \'property\'>"
}
member {
name: "limits"
mtype: "<type \'property\'>"
}
member {
name: "max"
mtype: "<type \'property\'>"
}
member {
name: "min"
mtype: "<type \'property\'>"
}
member {
name: "name"
mtype: "<type \'property\'>"
}
member {
name: "real_dtype"
mtype: "<type \'property\'>"
}
member {
name: "size"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'type_enum\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "is_compatible_with"
argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
}
}
|
