Warning cuDNN Convolution

[Deltadahl]

When I run the following code:

using Metalhead
using Flux

model = EfficientNet(:b0) |> gpu
data = rand(Float32, 224, 224, 3, 1) |> gpu
output = model(data)
println(output)

I get:

Warning: No valid algorithm found, probably bad params for convolution.
└ @ cuDNN C:\Users\ccsim\.julia\packages\cuDNN\3J08S\src\convolution.jl:280

The same thing happens even if I vary the input size (224, 224, 3, 1)-> (a, b, c, d), the model EfficientNet -> EfficientNetv2, the size of the model :b0 -> X. I have tried on Julia 1.9.1, 1.9.0 and 1.6.7 but I get the same Warning every time. I have also tried in new environments where I've only installed Metalhead and Flux. I get the same warning when I use the library EfficientNet.jl.

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Details on Julia:

Julia Version 1.9.1
Commit 147bdf428c (2023-06-07 08:27 UTC)
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 16 × 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, rocketlake)
  Threads: 16 on 16 virtual cores
Environment:
  JULIA_IMAGE_THREADS = 1
  JULIA_EDITOR = code

Details on CUDA:

NVIDIA driver 532.3.0

CUDA libraries:
- CUBLAS: 12.1.3
- CURAND: 10.3.2
- CUFFT: 11.0.2
- CUSOLVER: 11.4.5
- CUSPARSE: 12.1.0
- CUPTI: 18.0.0
- NVML: 12.0.0+532.3

Julia packages:
- CUDA.jl: 4.3.2
- CUDA_Driver_jll: 0.5.0+1
- CUDA_Runtime_jll: 0.6.0+0
- CUDA_Runtime_Discovery: 0.2.2

Toolchain:
- Julia: 1.9.1
- LLVM: 14.0.6
- PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0, 7.1, 7.2, 7.3, 7.4, 7.5
- Device capability support: sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80, sm_86

1 device:
  0: NVIDIA GeForce RTX 3090 (sm_86, 22.566 GiB / 24.000 GiB available)

[maleadt]

#1943