ip2016

> @ip2016 May I ask what kind of CPU you’re using？ We have tested your example on our HW platforms. Results show that your CPU results seem a little weird....

I did some additional testing, still getting incompatible results sometimes. Here is one which is reproducible: ``` import tensorflow as tf tf.config.list_physical_devices() ``` ``` [PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU'), PhysicalDevice(name='/physical_device:XPU:0', device_type='XPU')] ``` ```...

I changed code a bit and now CPU result from the tensorflow intel plugin matches the result from tensorflow-cpu, but not the GPU result. ``` with tf.device("/CPU:0"): tf.random.set_seed(11) c =...

@yiqianglee Thanks for your input. The issue I'm facing is a NaN in loss function when I'm trying a simple project with BERT fine tuning. I suspect this is caused...

Thanks for the fast fix. After some unsuccessful attempts, I was able to build the package. I'm not getting NaN in loss function anymore. However, loss value seems to be...

> @sovrasov Who is it appropriate to assign this to? (ARC GPU issue) I'm not sure that this is ARC GPU specific issue. I'm observing the same error with CPU...

> > > @sovrasov Who is it appropriate to assign this to? (ARC GPU issue) > > > > > > I'm not sure that this is ARC GPU specific...

Update: I have different error trying to train on CPU with otx[base] package: RuntimeError: "nms_kernel" not implemented for 'BFloat16'