Comments (2)
In progress now. Will release it in NNI v0.4 soon.
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Kubeflow training service is released in NNI v0.4. Refer this document for how to run NNI experiment on Kubeflow.
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Related Issues (20)
- Unsupported Layer nn.TransformerEncoderLayer
- Dispatcher stream error, tuner may have crashed.
- Mismatched hyperparameters between web server display and their actual values HOT 1
- Dispatcher terminiated reporting cuda unavailable issue HOT 1
- mint
- Mint
- mint
- Cannot install nni on Jetson Nano Developer Kit
- How nni performs qat quantization on leaky relu
- require a missing '.experiment' even for the first time running
- Cannot get the correct value,Can you tell me how to get the correct value? thank you very much
- Bug: batch_size parameter in ModelSpeedup does not alter the model when set to 1 HOT 2
- ModelSpeedup error: assert len(set(num_channels_list)) == 1, possible incorrect layers in dependency set HOT 1
- ModelSpeedup() error
- ERROR (nni.runtime.msg_dispatcher_base/Thread-1)
- dispather comand:globals.args.pythonInterpreter, '-m', 'nni', '--exp_params', 占用内存太多 HOT 1
- Comparison exception: The values for attribute 'shape' do not match: torch.Size([]) != torch.Size([1, 8400]).
- Pruning Yolov8m model HOT 1
- # get parameters from tuner RECEIVED_PARAMS = nni.get_next_parameter()
- Not training enough times HOT 1
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