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As I was not able to run the gluoncv with mxnet on my M1 mac, so I tried to use the docker file as python interpreter.
mxnet/python:1.9.1_aarch64_cpu_py3 which is running Python 3.7.13, mxnet==1.9.1b20220517
I installed gluoncv==0.10.5.post0 in that docker and getting the following two errors:
mxnet.base.MXNetError: MXNetError: Invalid Parameter format for std expect tuple of but value='[0.229, 0.224, 0.225]', in operator _image_normalize(name="", std="[0.229, 0.224, 0.225]", mean="[0.485, 0.456, 0.406]")
when trying to do gluoncv.data.transforms.presets.segmentation.test_transform on the image
and:
mxnet.base.MXNetError: MXNetError: Invalid Parameter format for layout expect int or None but value='', in operator Convolution(name="", stride="(2, 2)", no_bias="True", kernel="(3, 3)", layout="NCHW", num_group="1", dilate="(1, 1)", pad="(1, 1)", num_filter="64")
when trying to load model using model = gluoncv.model_zoo.get_model('fcn_resnet101_voc', pretrained=True)
The text was updated successfully, but these errors were encountered:
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Getting the same error using mxnet/python:1.9.1_aarch64_cpu_py3. Interestingly, the error only occurs when run in this docker container for this image on raspberrypi (arm64). It works when run in mxnet/python:1.9.1_cpu_py3 on a linux desktop (amd64).
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As I was not able to run the gluoncv with mxnet on my M1 mac, so I tried to use the docker file as python interpreter.
mxnet/python:1.9.1_aarch64_cpu_py3 which is running Python 3.7.13, mxnet==1.9.1b20220517
I installed gluoncv==0.10.5.post0 in that docker and getting the following two errors:
mxnet.base.MXNetError: MXNetError: Invalid Parameter format for std expect tuple of but value='[0.229, 0.224, 0.225]', in operator _image_normalize(name="", std="[0.229, 0.224, 0.225]", mean="[0.485, 0.456, 0.406]")
when trying to do gluoncv.data.transforms.presets.segmentation.test_transform on the image
and:
mxnet.base.MXNetError: MXNetError: Invalid Parameter format for layout expect int or None but value='', in operator Convolution(name="", stride="(2, 2)", no_bias="True", kernel="(3, 3)", layout="NCHW", num_group="1", dilate="(1, 1)", pad="(1, 1)", num_filter="64")
when trying to load model using model = gluoncv.model_zoo.get_model('fcn_resnet101_voc', pretrained=True)
The text was updated successfully, but these errors were encountered: