dohappy2
commented on issue PCL-Platform.Inte.../PanGu-Alpha-GPU#2
好不容易安装上了，但是运行报错，内容如下，求教
应该是我修改的文件不对，所以有最上面的报错，现在已经能加载
提示#### Load ckpt success!!! ####
Building prefix dict from the default dictionary ...
Loading model from cache /tmp/jieba.cache
Loading model cost 0.656 seconds.
Prefix dict has been built successfully.
[WARNING] ME(16521:140086779144000,MainProcess):2021-06-04-22:54:02.896.251 [mindspore/common/_decorator.py:32]......
[ERROR] KERNEL(16521,python3.7.5):2021-06-04-22:54:09.211.623 [mindspore/ccsrc/backend/kernel_compiler/gpu/gpu_kernel_factory.cc:115] CheckSM] Half precision ops can be used on Devices which computing capacity is >= 6, but the current device's computing capacity is 5
Traceback (most recent call last):
File "run_inference.py", line 206, in <module>
run_eval(args_opt)
File "run_inference.py", line 169, in run_eval
output_ids = generate(model_predict, input_ids, 1024, 9)
File "/home/w/pangu-alpha-gpu/inference/generate.py", line 70, in generate
logits = model.predict(inputs).asnumpy()
File "/home/w/.local/lib/python3.7/site-packages/mindspore/train/model.py", line 791, in predict
result = self._predict_network(*predict_data)
File "/home/w/.local/lib/python3.7/site-packages/mindspore/nn/cell.py", line 341, in __call__
out = self.compile_and_run(*inputs)
File "/home/w/.local/lib/python3.7/site-packages/mindspore/nn/cell.py", line 608, in compile_and_run
self.compile(*inputs)
File "/home/w/.local/lib/python3.7/site-packages/mindspore/nn/cell.py", line 595, in compile
_executor.compile(self, *inputs, phase=self.phase, auto_parallel_mode=self._auto_parallel_mode)
File "/home/w/.local/lib/python3.7/site-packages/mindspore/common/api.py", line 494, in compile
result = self._executor.compile(obj, args_list, phase, use_vm)
RuntimeError: mindspore/ccsrc/backend/kernel_compiler/gpu/gpu_kernel_factory.cc:115 CheckSM] Half precision ops can be used on Devices which computing capacity is >= 6, but the current device's computing capacity is 5
现在报错提示，半精度运算可用于计算能力大于等于6的设备，但当前设备的计算能力为5。
我设备现在Ubuntu 18.04 32G内存 显卡是TITAN X 12G，运行的程序是Python run_inference.py --model=2B6_fp16 --load_ckpt_path=PanguAlpha_2.6B_fp16.ckpt。按介绍是应该能运行起来的，但是我运行时同时查看显卡情况，显存并没有被占用。内存只占用到9G就报错退出了。求教大神了
2 years ago
