Mnist tf error
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Description
#this is how I'm calling mnist model:
import onnx
import warnings
from onnx_tf.backend import prepare
model = onnx.load(//path+"model.onnx')
tf_rep = prepare(model)
#I get the following error: at prepare(model)
ValueError: Cannot reshape a tensor with 64 elements to shape [1,256] (256 elements) for 'Times212_reshape0' (op: 'Reshape') with input shapes: [1,16,2,2], [2] and with input tensors computed as partial shapes: input[1] = [1,256].
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Research direction
Start by reproducing the call to onnx_tf.backend.prepare with the referenced model.onnx and inspect the reported Reshape operation, 'Times212_reshape0'. Compare the model's tensor shapes with the requested [1,256] shape. Done should include a confirmed cause and a validated resolution or documented incompatibility.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100