after building vllm from source, the following error occures when running a multi-gpu inference using a local ray instance: File "vllm/vllm/model_executor/layers/quantization/awq.py", line 6, in <module> from vllm._C import ops ModuleNotFoundError: No module named 'vllm._C' I alre...
[0].dtype, name='digit')] # model.output_names=['output'] onnx_model, _ = tf2onnx.convert.from_keras(model, input_signature, opset=13) onnx.save(onnx_model, model_name + ".onnx") model.compile(optimizer='adam',loss=tf.keras.losses.categorical_crossentropy,metrics=['Categorical...
s.adam.stringham 2023 年6 月 27 日 15:23 32 Same problem. Ubuntu 20.04, GTX 2060 Super, triple monitor setup with two 4k through display port and one 1080p with HDMI. I’ve been upgrading drivers from 460 up to 530 and still having issues. Would be nice if this got fixed...
[+] Buildingal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 4.19kB 0.0s => [internal] load .dockerignore 0.0s => => transferring context: 53B 0.0s => [internal] load metadata for docker.io/adamrehn/ue4-build-prerequisites:cudagl10.2 0.0s => [ 1/13] FR...
Has been an error:ModuleNotFoundError: No module named 'fused_adam_cuda'。 git clonehttps://github.com/NVIDIA/apex $ cd apex $ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./ $` pip install -v --no-cache-dir ./ ...