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path: "tensorflow.experimental.numpy.ndarray"
tf_class {
is_instance: "<class \'tensorflow.python.framework.tensor.Tensor\'>"
is_instance: "<class \'tensorflow.python.types.internal.NativeObject\'>"
is_instance: "<class \'tensorflow.python.types.core.Symbol\'>"
is_instance: "<class \'tensorflow.python.types.core.Tensor\'>"
is_instance: "<type \'object\'>"
member {
name: "OVERLOADABLE_OPERATORS"
mtype: "<type \'set\'>"
}
member {
name: "dtype"
mtype: "<type \'property\'>"
}
member {
name: "name"
mtype: "<type \'property\'>"
}
member {
name: "ndim"
mtype: "<type \'property\'>"
}
member {
name: "shape"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "eval"
argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "experimental_ref"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_shape"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "ref"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "set_shape"
argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
}
}
|
