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Moaz Reyad commented on SINGA-457: ---------------------------------- I also tried the default option (with GPU), but the same error happens: {code:bash} $ python backend.py Using GPU Traceback (most recent call last): File "backend.py", line 42, in <module> backend = sonnx.prepare(model, dev) File "/home/moaz/singa-gpu/venv/local/lib/python2.7/site-packages/singa/sonnx.py", line 254, in prepare stores_grad=stores_grad, File "/home/moaz/singa-gpu/venv/local/lib/python2.7/site-packages/singa/tensor.py", line 96, in __init__ copy_from_numpy(self.data, data) File "/home/moaz/singa-gpu/venv/local/lib/python2.7/site-packages/singa/tensor.py", line 1522, in copy_from_numpy 'tensor shape should be the same' AssertionError: tensor shape should be the same {code} > Error in ONNX backend.py example > -------------------------------- > > Key: SINGA-457 > URL: https://issues.apache.org/jira/browse/SINGA-457 > Project: Singa > Issue Type: Bug > Reporter: Moaz Reyad > Priority: Major > > I tried to run the file [backend.py | > https://github.com/apache/incubator-singa/blob/master/examples/onnx/backend.py] > example. I followed the instructions in the file: > {code:python} > # load and run the onnx model exported from pytorch > # > https://github.com/onnx/tutorials/blob/master/tutorials/PytorchOnnxExport.ipynb > {code} > and executed the file with "use_cpu" option: > {code:bash} > python backend.py --use_cpu > Using CPU > Traceback (most recent call last): > File "backend.py", line 42, in <module> > backend = sonnx.prepare(model, dev) > File > "/home/moaz/singa/venv/local/lib/python2.7/site-packages/singa/sonnx.py", > line 254, in prepare > stores_grad=stores_grad, > File > "/home/moaz/singa/venv/local/lib/python2.7/site-packages/singa/tensor.py", > line 96, in __init__ > copy_from_numpy(self.data, data) > File > "/home/moaz/singa/venv/local/lib/python2.7/site-packages/singa/tensor.py", > line 1522, in copy_from_numpy > 'tensor shape should be the same' > AssertionError: tensor shape should be the same > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005)