Class Variable

python/paddle/base/framework.py:1722–3146

Notes: The constructor of Variable should not be invoked directly. In Static Graph Mode: Please use ** `Block.create_var` ** to create a Static variable which has no data until being feed. In Dygraph Mode: Please use ** :ref:`api_paddle_to_tensor` ** to create a dygra

class Variable(metaclass=VariableMetaClass):
    """

    Notes:
        The constructor of Variable should not be invoked directly.

        In Static Graph Mode: Please use ** `Block.create_var` ** to create a Static variable which has no data until being feed.

        In Dygraph Mode: Please use ** :ref:`api_paddle_to_tensor` ** to create a dygraph variable with real data.

    In Fluid, every input and output of an OP is a variable. In most
    cases, variables are used for holding different kinds of data or training
    labels. A variable belongs to a :ref:`api_guide_Block_en` . All variable has its own name and
    two variables in different :ref:`api_guide_Block_en` could have the same name.

    There are many kinds of variables. Each kind of them has its own attributes
    and usages. Please refer to the `framework.proto <https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/phi/core/framework/framework.proto>`_ for details.

    Most of a Variable&#x27;s member variables can be set to be None. It mean
    it is not available or will be specified later.

    Examples:
        In Static Graph Mode:

        .. code-block:: pycon
            :name: code-example-1

            >>> import paddle
            >>> import paddle.base as base
            >>> with paddle.pir_utils.OldIrGuard():
            ...     cur_program = base.Program()
            ...     cur_block = cur_program.current_block()
            ...     new_variable = cur_block.create_var(
            ...         name="X",
            ...         shape=[-1, 23, 48],
            ...         dtype="float32",
            ...     )

        In Dygraph  Mode:

        .. code-block:: pycon
            :name: code-example-2

            >>> import paddle.base as base
            >>> import numpy as np
            >>> import paddle

            >>> with base.dygraph.guard():
            ...     new_variable = paddle.to_tensor(np.arange(10))

    """

    def __init__(
        self,
        block,
        type=core.VarDesc.VarType.DENSE_TENSOR,
        name=None,
        shape=None,