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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.Cast

class mindspore.ops.Cast

Returns a tensor with the new specified data type.

Inputs:

• input_x (Union[Tensor, Number]) - The shape of tensor is $(x_1,x_2,...,x_R)$. The tensor to be cast.

• type (dtype.Number) - The valid data type of the output tensor. Only constant value is allowed.

Outputs:

Tensor, the shape of tensor is the same as input_x, $(x_1,x_2,...,x_R)$.

Raises

• TypeError – If input_x is neither Tensor nor Number.

• TypeError – If type is not a Number.

Supported Platforms:

Ascend GPU CPU

Examples

>>> input_np = np.random.randn(2, 3, 4, 5).astype(np.float32)
>>> input_x = Tensor(input_np)
>>> type_dst = mindspore.int32
>>> cast = ops.Cast()
>>> output = cast(input_x, type_dst)
>>> print(output.dtype)
Int32
>>> print(output.shape)
(2, 3, 4, 5)