Question: how to suppress GPU info

[lipigupta]

Describe the problem
I can't find where the following CUDA/GPU information message is generated/flushed to print in order to suppress it.
Tried something simple like tomopy.recon(); but the following info is still output.
Any suggestions on how to suppress or turn this off would be great. Thank you!!
To Reproduce (if applicable)

Detected 4 CUDA capable devices

Device 0: "A100-SXM4-40GB"
  CUDA Driver Version / Runtime Version          11.5 / 11.2
  CUDA Capability Major/Minor version number:    8.0
  Total amount of global memory:                 40537 MBytes (42506321920 bytes)
  GPU Max Clock rate:                            1410 MHz (1.41 GHz)
  Memory Clock rate:                             1215 Mhz
  Memory Bus Width:                              5120-bit
  L2 Cache Size:                                 41943040 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
  Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Multiprocessor count:                          108
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 5 copy engine(s)
  Run time limit on kernels:                     No
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Enabled
  Device supports Unified Addressing (UVA):      Yes
  Device supports Compute Preemption:            Yes
  Supports Cooperative Kernel Launch:            Yes
  Supports MultiDevice Co-op Kernel Launch:      Yes
  Device PCI Domain ID / Bus ID / location ID:   0 / 3 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >




==========================================================================================
Available GPU options:
	INDEX  	KEY           DESCRIPTION                             
	    1  	gpu           Run on GPU (CUDA NPP)                   	(default)

To select an option for runtime, set 'device' parameter to an INDEX or KEY above
==========================================================================================

------------------------------------------------------------------------------------------
Selected device: 	    1  	gpu           Run on GPU (CUDA NPP)                   
------------------------------------------------------------------------------------------


[0] Initialized tasking run manager with 32 threads...
Detected 4 CUDA capable devices

Additional context
Add any other context about the problem here.

[carterbox]

This is output from the compiled code. AFAIK, there is no option to silence it.

tomopy/source/libtomo/accel/common.hh

Line 117 in f26ae62

struct DeviceOption