Neo Zhang Jianyu

The IPEX libs are big size, about 2GB totally. The windows load the lib files will take more time. It's depended on windlows and lib size. After windows load the...

@Shuo-Sun20 1. Use following code, I got same result in both linux & windows: ``` from keras.layers import Conv2D import numpy as np x=np.random.rand(1,2,2,1) l=Conv2D(1,3,(1,1),'valid','channels_last', [1,1],1, 'linear', True) print(l(x).shape) print(l.compute_output_shape(x.shape))...

@Shuo-Sun20 1. For the checker of abnormal input, could report it as a feature in another issue? 2. I run the case and got same result in both windows and...

@Shuo-Sun20 In windows, my result is same as yours. In linux, when enable oneDNN path in TF by TF_ENABLE_ONEDNN_OPTS=1, the result is same as windows. If TF_ENABLE_ONEDNN_OPTS=0, the result is...

The device selection is with issue when there are igpu & Arc GPU in same PC. It has been fixed in multiple GPU support feature. But this feature is ongoing...

how about device_id=0? I think it has been supported. Maybe some new code break it. could you try with old release. like https://github.com/jordankanter/llama.cpp/commit/8c4aa67ff9b366b0dcce760d8b0c91b77f95f2fe.

@aahouzi Could you try with latest code? The multiple cards support is merged.

@sgwhat The log above is not whole. Here is a delay to load code. Please wait for 1-2 mins.

> Hi all @airMeng @NeoZhangJianyu, I also get similar trouble with this issue. > > GPU device: Arc 770 System: Ubuntu > > ```shell > sycl-ls > [opencl:acc:0] Intel(R) FPGA...

@sgwhat 1. It's hard to know which OPs lead to the error result without deeply check. 2. We only support llama.cpp issue. Looks like your issue happen on project https://github.com/ollama/ollama....