Calling tresnet = resnet.layers |> torch multiple times will increase GPU Memory-Usage

[terasakisatoshi]

For example this code will increase memory usage of GPU.

for i in 1:100 tresnet = resnet.layers |> torch end

And this code will occur same phenomena

using BenchmarkTools
@btime tresnet(tip)

Here is my environment:

Ubuntu 16.04 with 2x1080Ti

(@v1.4) pkg> st
Status `~/.julia/environments/v1.4/Project.toml`
  [587475ba] Flux v0.10.4
  [dbeba491] Metalhead v0.5.0
  [6a2ea274] Torch v0.1.1

Thu Jul  2 02:17:06 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 108...  Off  | 00000000:03:00.0 Off |                  N/A |
|  0%   51C    P5    13W / 280W |      0MiB / 11178MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   1  GeForce GTX 108...  Off  | 00000000:04:00.0 Off |                  N/A |
|  0%   52C    P5    17W / 280W |      0MiB / 11177MiB |      3%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

[lorrp1]

@terasakisatoshi have you tried GC.gc(false)?

[terasakisatoshi]

No. > GC.gc(false)