nni
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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
**Describe the issue**: I have searched previous issue. dispatcher.log reports that **one of the lower bounds is greater than an upper bound**, but my search sapce is: ``` search_space_xgboost =...
### Description ### update resume logic, change RUNNING/WAITING to WAITING (was FAILED). send resume parameters to the tuner side, to allow deduplication logic work. NOTE: currently only TPE tuner implemented...
**Describe the issue**: I can use the NNI normally with Remote mode on the CPU, although it is very slow. When I try to use NNI to run the program...
**Describe the issue**: Hello, I have a model that needs to be quantized. This model consists of backbone, neck and head. I only want to quantify the neck part. There...
**Describe the issue**: Hi, I am using nni for model quantization. When I do modelspeedup using ``` engine = ModelSpeedupTensorRT(model, input_shape, config=calibration_config, batchsize=batch_size) ``` It raised an error `TypeError: The...
When I use the NNI L1 method to prune the facenet model and perform speedup, I encounter an error indicating that aten::norm is not supported. How to solve this problem?...
**Describe the issue**: **Environment**: - NNI version: - Training service (local|remote|pai|aml|etc): - Client OS: - Server OS (for remote mode only): - Python version: - PyTorch/TensorFlow version: - Is conda/virtualenv/venv...
**Describe the issue**: When running quantization_speedup.py in the tutorial file (I did not change anything), I got an error as below. ``` [2022-07-20 01:41:46] Model state_dict saved to ./log/mnist_model.pth [2022-07-20...
**Describe the issue**: When I tried nni with frameworkcontroller on k8s, I used these yaml files - I tried nfs for nni config `config_framework.yml` ``` authorName: default experimentName: example_mnist_pytorch trialConcurrency:...
### Description ### #### Test Options #### - [ ] fast test - [ ] full test - HPO - [ ] full test - NAS - [ ] full...