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@ -172,20 +172,19 @@ def _print_debug_msg(parameter_list, limit=5, is_test=False):
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return unique_name_size, tracer_var_size, alive_cpp_var_size
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return unique_name_size, tracer_var_size, alive_cpp_var_size
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# TODO(zhiqiu): Param 'block' should be deprecated, since block is meaningless in dygraph
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@framework.dygraph_only
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@framework.dygraph_only
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def to_variable(value, block=None, name=None, zero_copy=None):
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def to_variable(value, name=None, zero_copy=None):
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"""
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"""
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The API will create a ``Variable`` object from numpy\.ndarray or Variable object.
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The API will create a ``Variable`` object from numpy\.ndarray or Variable object.
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Parameters:
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Parameters:
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value(ndarray): The numpy\.ndarray object that needs to be converted, it can be multi-dimension, and the data type is one of numpy\.{float16, float32, float64, int16, int32, int64, uint8, uint16}.
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value(ndarray|Variable): The numpy\.ndarray or Variable object that needs to be converted, it can be multi-dimension, and the data type is one of numpy\.{float16, float32, float64, int16, int32, int64, uint8, uint16}.
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block(fluid.Block, optional): Which block this variable will be in. Default: None.
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name(str, optional): The default value is None. Normally there is no need for user to set this property. For more information, please refer to :ref:`api_guide_Name`
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name(str, optional): The default value is None. Normally there is no need for user to set this property. For more information, please refer to :ref:`api_guide_Name`
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zero_copy(bool, optional): Whether to share memory with the input numpy array. This parameter only works with CPUPlace and will be set to True when it is None. Default: None.
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zero_copy(bool, optional): Whether to share memory with the input numpy array. This parameter only works with CPUPlace and will be set to True when it is None. Default: None.
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Returns:
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Returns:
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Variable: ``Tensor`` created from the specified numpy\.ndarray object, data type and shape is the same as ``value`` .
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Variable: If ``value`` is a numpy\.ndarray object, return ``Tensor`` created from the specified numpy\.ndarray object, which has same data type and shape with ``value``. If ``value`` is a Variable object, just return ``value``.
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Examples:
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Examples:
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