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FillV2 docs
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@ -6,17 +6,16 @@ mindspore.ops.FillV2
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创建一个Tensor,其shape由 `shape` 指定,其值则由 `value` 进行填充。
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创建一个Tensor,其shape由 `shape` 指定,其值则由 `value` 进行填充。
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输入:
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输入:
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- **shape** (Tensor) - 1-D Tensor,指定了输出Tensor的shape。
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- **shape** (Union[Tuple[int], Tensor[int]) - 1-D Tensor或Tuple,指定了输出Tensor的shape。
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其数据类型必须是int32或int64。
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其数据类型必须是int32或int64。
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- **value** (Tensor) - 一个标量Tensor,其值用于填充输出Tensor。
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- **value** (Tensor) - `value` 是Scalar Tensor,其值用于填充输出 `y` ,
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`value` 必须是0-D的,且其数据类型必须是以下之一:
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其数据类型必须是以下之一:bool、int8、int16、int32、int64、uint8、uint16、uint32、uint64、
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bool、int8、int16、int32、int64、uint8、uint16、uint32、uint64、float16、float32、float64。
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float16、float32、float64、complex64、complex128。
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输出:
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输出:
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- **y** (Tensor) - Tensor,其shape和值如上所述。
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- **y** (Tensor) - Tensor,其shape和值如上所述。
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异常:
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异常:
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- **ValueError** - 如果 `shape` 不是1-D Tensor。
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- **TypeError** - 如果 `shape` 不是1-D Tensor或Tuple。
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- **TypeError** - 如果 `shape` 的数据类型不是int32或者int64。
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- **TypeError** - 如果 `shape` 的数据类型不是int32或者int64。
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- **ValueError** - 如果 `value` 不是0-D Tensor。
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- **ValueError** - 如果 `value` 不是Scalar Tensor。
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- **ValueError** - 如果输出元素的数量多于1000000。
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@ -1525,20 +1525,19 @@ class FillV2(PrimitiveWithCheck):
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Creates a tensor with shape described by `shape` and fills it with values in `value` .
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Creates a tensor with shape described by `shape` and fills it with values in `value` .
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Inputs:
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Inputs:
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- **shape** (tensor) - 1-D Tensor, the specified shape of output tensor.
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- **shape** (Union[Tuple[int], Tensor[int]]) - 1-D Tensor or Tuple, specify the shape
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It's dtype must be int32 or int64.
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of output tensor. Its dtype must be int32 or int64.
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- **value** (tensor) - A scalar tensor, the value to fill the output tensor.
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- **value** (Tensor) - A scalar tensor, the value to fill the output tensor `y` .
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The shape of `value` must be 0D and it's dtype must be one of the following types:
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Its dtype must be one of the following types: bool, int8, int16, int32, int64,
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bool, int8, int16, int32, int64, uint8, uint16, uint32, uint64, float16, float32, float64.
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uint8, uint16, uint32, uint64, float16, float32, float64, complex64, complex128.
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Outputs:
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Outputs:
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- **y** (Tensor) - A tensor, it's shape and value are described above.
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- **y** (Tensor) - A tensor, its shape and value are described above.
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Raises:
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Raises:
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ValueError: If `shape` is not a 1-D tensor.
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TypeError: If `shape` is not a 1-D tensor or tuple.
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TypeError: If the data type of `shape` is not int32 or int64.
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TypeError: If the data type of `shape` is not int32 or int64.
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ValueError: If `value` is not a 0-D tensor.
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ValueError: If `value` is not a scalar tensor.
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ValueError: If the number of output elements is greater than 1000000.
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Supported Platforms:
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Supported Platforms:
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``Ascend`` ``GPU`` ``CPU``
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``Ascend`` ``GPU`` ``CPU``
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