Comments (7)
hi @pranavsharma @snnn
after building onnx successfully, I still can not import onnxruntime as below error:
ImportError: No module named 'onnxruntime'
could you check and give me your comment
from onnxruntime.
It seems that "CTRL-C" will break the build process, cause incomplete build.
I modify the test program to pass the "long" test, and can build to complete.
Will try again to learn how to run the onnx_runtime.
from onnxruntime.
Under the build/Linux/RelWithDebInfo/dist, there are two whl files: onnxruntime-0.1.5-cp35-cp35m-linux_x86_64.whl and onnxruntime-0.1.5-cp35-cp35m-manylinuxlinux1_x86_64.whl.
I use the command: pip3 install xxx.whl
After type python3
import onnxruntime.backend as backend
I got error message:
ImportError: No module named 'onnx'
Is something wrong for the building or install process?
Thanks for your time.
from onnxruntime.
In order to use onnxruntime python package, you need to install onnx python package first.
from onnxruntime.
Thanks!
Now "import onnxruntime.backend as backend" is successful.
I also download the mnist model.
But I can't find any useful python code to run this model.
Could someone help to let me know where I can find the example code to run a model via python or C, etc.
Thanks for your time.
from onnxruntime.
Here's one example from this page
# Compute the prediction with ONNX Runtime
import onnxruntime as rt
import numpy
sess = rt.InferenceSession("rf_iris.onnx")
input_name = sess.get_inputs()[0].name
label_name = sess.get_outputs()[0].name
pred_onx = sess.run([label_name], {input_name: X_test.astype(numpy.float32)})[0]
from onnxruntime.
I did pip3 install onnxruntime (if you are on a different OS it might be different i.e. linux flavor). Then I get an error "cannot import name 'get_all_providers' from 'onnxruntime.capi._pybind_state"
Which will take you to here: #4196
I have not completed the steps to see if it will solve the issue or not yet but putting this here in case others end up here eventually. In the issue template the user mentions System Information as: OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10. So if you are in those OS you might look into the above link if your issue is as mine.
I have same issue as @hoaquocphan
from onnxruntime.
Related Issues (20)
- BeamSearch op returning wrong results on CUDA execution provider when sequence is used as input_ids HOT 1
- [Documentation] ORT Format Model Version Table Needs Update HOT 2
- [Mobile] Broadcasting Error in Sub Node with ONNX Runtime Version 1.17.3: Incompatibility with Dimension Broadcasting Rules
- Type Error: Type 'tensor(int64)' of input parameter (16586) of operator (Clip) in node (Clip_13292) is invalid. HOT 4
- LayerNormalization doesnt' work as expected in MAC.
- User-provided session logging function is not used for every log HOT 4
- NOT_IMPLEMENTED : Could not find an implementation for ReduceProd(18) node with name 'p2o.ReduceProd.0'
- [Performance] Quadratic behaviour in list operations with SequenceInsert in onnx
- [Build] [CANN] Failed to build CANN provider with training and Python bindings
- ONNX Runtime doesn't support the graph optimization of vision-encoder-decoder yet
- cannot resolve operator 'HardSwish' with opsets: ai.onnx v9 [Web]
- cuda's FusedConv is not support Sigmod
- [Mobile] Subgraphs duplicate initializers in RAM during execution HOT 1
- [Web] The YOLOv8 segmentation model with batching option is not operating on the GPU ?
- [Performance] Regression observed when using CUDA execution provider HOT 2
- Onnxruntime-directml 1.18.0 broken multithreading inference session HOT 1
- [Build] 0.18.0 release breaks Hummingbird build pipeline HOT 4
- Windows ARM64 & X64 CLIP Image Encoder different results HOT 1
- .. HOT 1
- [Feature Request] Get device ids via get_available_device_ids()
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from onnxruntime.