brett koonce
brett koonce
could use a UpSampling2D to do an autoencoder demo.
@Shashi456 not sure how i missed that 😓
start with x86 rather than jump to m1!
@philipturner wrt to https://github.com/tensorflow/swift-apis/issues/1185#issuecomment-1004776357 + going off of what brad was saying, you should make sure you have the same cmake version as well!
@marcrasi toolchains have been updated!
@marcrasi it's my understanding that 2.4 is the first release that officially supports cuda 11.0 (https://github.com/tensorflow/tensorflow/releases/tag/v2.4.0), not sure how you got 11.0 working in the first place (a master pull?)....
also, @texasmichelle you might run this and look at the logs being spit out: ``` export GPU_TYPE="a100" export ZONE="us-central1-a" gcloud compute instances create s4tf-ubuntu-${GPU_TYPE} \ --zone=${ZONE} \ --image-project=deeplearning-platform-release \ --image-family=swift-latest-gpu-ubuntu-1804...
@texasmichelle I was seeing some weird errors when running swift-models (eg lenet-mnist), but in retrospect what's going on is that I think you packaged the 10.2 cuda version with your...
do you have cudnn installed as well?