tf.raw_ops.DebugNanCount

Debug NaN Value Counter Op.

Compat aliases for migration

tf.compat.v1.raw_ops.DebugNanCount

tf.raw_ops.DebugNanCount(
    input,
    device_name='',
    tensor_name='',
    debug_urls=[],
    gated_grpc=False,
    name=None
)

Counts number of NaNs in the input tensor, for debugging.

Args
`input`	A `Tensor`. Input tensor, non-Reference type.
`device_name`	An optional `string`. Defaults to `""`.
`tensor_name`	An optional `string`. Defaults to `""`. Name of the input tensor.
`debug_urls`	An optional list of `strings`. Defaults to `[]`. List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011.
`gated_grpc`	An optional `bool`. Defaults to `False`. Whether this op will be gated. If any of the debug_urls of this debug node is of the grpc:// scheme, when the value of this attribute is set to True, the data will not actually be sent via the grpc stream unless this debug op has been enabled at the debug_url. If all of the debug_urls of this debug node are of the grpc:// scheme and the debug op is enabled at none of them, the output will be an empty Tensor.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `int64`.

Args