Hello all,
I’m trying to get paddlepaddle_gpu working on Jetson Orin NX.
- Installing paddlepaddle_gpu using paddlepaddle_gpu-2.5.2-cp38-cp38m-linux_aarch64.whl
- Installing paddleocr - pip3 install paddleocr
- Testing with following code:
import paddle
print(paddle.version)
paddle.utils.run_check()
, but I’m getting:
2.5.2
Running verify PaddlePaddle program …
Traceback (most recent call last):
File “test_paddle.py”, line 4, in
paddle.utils.run_check()
File “/home/user/.local/lib/python3.8/site-packages/paddle/utils/install_check.py”, line 249, in run_check
run_static_single(use_cuda, use_xpu)
File “/home/user/.local/lib/python3.8/site-packages/paddle/utils/install_check.py”, line 134, in run_static_single
param_grads = paddle.static.append_backward(
File “”, line 2, in append_backward
File “/home/user/.local/lib/python3.8/site-packages/paddle/fluid/wrapped_decorator.py”, line 25, in impl
return wrapped_func(*args, **kwargs)
File “/home/user/.local/lib/python3.8/site-packages/paddle/fluid/framework.py”, line 473, in impl
return func(*args, **kwargs)
File “/home/user/.local/lib/python3.8/site-packages/paddle/fluid/backward.py”, line 2179, in append_backward
append_backward_vars(
File “/home/user/.local/lib/python3.8/site-packages/paddle/fluid/backward.py”, line 1756, in append_backward_vars
op_desc.infer_shape(block.desc)
RuntimeError: (NotFound) The kernel sum_grad
is not registered.
[Hint: Expected iter != kernels.end(), but received iter == kernels.end().] (at /workspace/compile-arm/2.5/2.5.2/Paddle/paddle/phi/core/kernel_factory.cc:286)
[operator < reduce_sum_grad > error]
Jetson info:
Package: nvidia-jetpack
Version: 5.1.1-b56
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-jetpack-runtime (= 5.1.1-b56), nvidia-jetpack-dev (= 5.1.1-b56)
Homepage: Jetson - Embedded AI Computing Platform | NVIDIA Developer
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_5.1.1-b56_arm64.deb
Size: 29304
SHA256: 7b6c8c6cb16028dcd141144b6b0bbaa762616d0a47aafa3c3b720cb02b2c8430
SHA1: 387e4e47133c4235666176032af0f2ec86461dbb
MD5sum: 0a8692031bf35cc46f7a498e2937bda9
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8
Any ideas?