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@@ -1194,6 +1194,21 @@ class Tensor(Tensor_): |
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shape (list[int]): Shape of the slice, it is used when initialize a slice of the parameter. Default: None. |
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opt_shard_group(str): Optimizer shard group which is used in auto or semi auto parallel mode |
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to get one shard of a parameter's slice. Default: None. |
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Returns: |
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Initialized Tensor. |
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Supported Platforms: |
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``Ascend`` ``GPU`` ``CPU`` |
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Examples: |
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>>> import mindspore as ms |
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>>> import mindspore.common.initializer as init |
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>>> x = init.initializer(init.Constant(1), [2, 2], ms.float32) |
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>>> out = x.init_data() |
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>>> print(out) |
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[[1. 1.] |
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[1. 1.]] |
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""" |
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if self.init is None: |
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raise TypeError("init_data must be set Tensor.init, init can't be None") |
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@@ -1254,6 +1269,21 @@ class Tensor(Tensor_): |
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shape (list[int]): Shape of the slice, it is used when initialize a slice of the parameter. Default: None. |
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opt_shard_group(str): Optimizer shard group which is used in auto or semi auto parallel mode |
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to get one shard of a parameter's slice. Default: None. |
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Returns: |
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Initialized Tensor. |
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Supported Platforms: |
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``Ascend`` ``GPU`` ``CPU`` |
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Examples: |
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>>> import mindspore as ms |
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>>> import mindspore.common.initializer as init |
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>>> x = init.initializer(init.Constant(1), [2, 2], ms.float32) |
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>>> out = x.to_tensor() |
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>>> print(out) |
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[[1. 1.] |
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[1. 1.]] |
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""" |
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logger.warning("WARN_DEPRECATED: The usage of to_tensor is deprecated." |
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" Please use init_data") |
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