Hi,
I tried to convert the Faster-RCNN model from gluoncv model zoo into symbol API
format. When I do inference with CPU, everything is well. However, when
inferring with GPU, it raised `Ignore CUDA Error`
The full code as following:
```
import time
import mxnet as mx
from gluoncv import model_zoo
from tqdm import tqdm
ctx = mx.gpu()
model = model_zoo.get_model('faster_rcnn_resnet50_v1b_voc', pretrained=True)
model.hybridize(static_alloc=True, static_shape=True)
x = mx.nd.random.normal(shape=[1, 3, 300, 300])
_ = model(x)
model.export('temp', 0)
sym, args, aux = mx.model.load_checkpoint('temp', 0)
for k, v in args.items():
args[k] = v.as_in_context(ctx)
args['data'] = x.as_in_context(ctx)
executor = sym.bind(ctx, args=args, aux_states=aux, grad_req='null')
start = time.time()
for i in tqdm(range(100)):
executor.forward(is_train=False)
mx.nd.waitall()
end = time.time()
print('Elapsed time:', end-start)
```
Here is the error message:
```
[02:19:17] src/resource.cc:279: Ignore CUDA Error [02:19:17]
src/storage/./pooled_storage_manager.h:97: CUDA: an illegal memory access was
encountered
```
Did anyone meet this error?
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