the above function，as we use cgroupRoots to create cadvisor interface，the wrong parameter cgroupRoots will lead eviction manager not  to collect metric from /docker, then kubelet frequently print those error：

        expressions in tfdbg command-line interface. See
        [Debugging TensorFlow Programs](https://www.tensorflow.org/guide/debugger)
        for more details.
    *   Usability improvement: The frequently used tensor filter
        `has_inf_or_nan` is now added to `Session` wrappers and hooks by
        default. So there is no need for clients to call
        `.add_tensor_filter(tf_debug.has_inf_or_nan)` anymore.

Curles which usually arise from Sand-holes a little smoothed in
polishing with Putty. If the Glass be only well polished and free from
Veins, and the Sides not accurately plane, but a little Convex or
Concave, as it frequently happens; yet may the three Spectrums Y, PT and
_pt_ want Penumbras, but not in equal distances from the Prisms. Now
from this want of Penumbras, I knew more certainly that every one of the

over the inner-most dimension of `input`.

Since the DFT of a real signal is Hermitian-symmetric, `RFFT` only returns the
`fft_length / 2 + 1` unique components of the FFT: the zero-frequency term,
followed by the `fft_length / 2` positive-frequency terms.

Along the axis `RFFT` is computed on, if `fft_length` is smaller than the
corresponding dimension of `input`, the dimension is cropped. If it is larger,