mindspore.ops.NPUGetFloatStatus

class mindspore.ops.NPUGetFloatStatus(*args, **kwargs)[source]

Updates the flag which is the output tensor of NPUAllocFloatStatus with the latest overflow status.

The flag is a tensor whose shape is (8,) and data type is mindspore.dtype.float32. If the sum of the flag equals to 0, there is no overflow happened. If the sum of the flag is bigger than 0, there is overflow happened.

Inputs:

input_x (Tensor) - The output tensor of NPUAllocFloatStatus. The data type must be float16 or float32.

Outputs:

Tensor, has the same shape as input_x. All the elements in the tensor will be zero.

Raises

TypeError – If input_x is not a Tensor.
TypeError – If dtype of input_x is neither float16 nor float32.

Supported Platforms:: Ascend

Examples

>>> alloc_status = ops.NPUAllocFloatStatus()
>>> get_status = ops.NPUGetFloatStatus()
>>> init = alloc_status()
>>> get_status(init)
Tensor(shape=[8], dtype=Float32, value= [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,
  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00])
>>> print(init)
[1. 1. 1. 1. 1. 1. 1. 1.]