sub-mod

Using TF 1.15 with CUDA 10.0 on RHEL 8.3 is not easy. If you upgrade the driver the TensorFlow setup with CUDA may stop working. Setup RHEL - 8.3.1 with Nvidia drivers for TensorFlow-2.x and TensorFlow 1.15.x.

These steps work for RHEL-8.3.1

• Uninstall current driver and cuda
• Install latest NVIDIA Driver
• Setup CUDA for TensorFlow 2.4.0
• Setup CUDA for TensorFlow 1.15.4

Uninstall-old-driver

sub-mod

Add the following in .zshrc:

...
plugins=(osx git zsh-autosuggestions zsh-syntax-highlighting zsh-nvm docker kubectl)
...

### Fix slowness of pastes with zsh-syntax-highlighting.zsh
pasteinit() {
  OLD_SELF_INSERT=${${(s.:.)widgets[self-insert]}[2,3]}
  zle -N self-insert url-quote-magic # I wonder if you'd need `.url-quote-magic`?

sub-mod

- Open Automator 
- File -> New -> Service 
- Change "Service Receives" to "files or folders" in "Finder" 
- Add a "Run Shell Script" action 
- Change "Pass input" to "as arguments" 
- Paste the following in the shell script box: open -n -b "com.microsoft.VSCode" --args "$*" 
- Save it as something like "Open in Visual Studio Code"

sub-mod

install openshift-pipelines-operator from CLI

Version: 1.0.1.

• OpenShift-Pipelines: v0.11.3.
• OpenShift-Pipelines-Triggers: v0.4.0.
• OpenShift-Pipelines-ClusterTasks: v0.11.

$ oc get packagemanifests -n openshift-marketplace | grep pipeline
openshift-pipelines-operator                 Community Operators   32h

sub-mod

• https://www.google.com/chrome/
• https://www.iterm2.com/
• open iterm app
• https://brew.sh/
• brew install git
• https://programwithus.com/learn-to-code/install-python3-mac/
• https://ohmyz.sh/#install
• https://gist.github.com/ZenLulz/c812f70fc86ebdbb189d9fb82f98197e
• https://golang.org/dl/

sub-mod

diff --git a/tensorflow/lite/experimental/ruy/platform.h b/tensorflow/lite/experimental/ruy/platform.h
index 7a83173..36aaa95 100644
--- a/tensorflow/lite/experimental/ruy/platform.h
+++ b/tensorflow/lite/experimental/ruy/platform.h
@@ -55,7 +55,7 @@ limitations under the License.
 // TODO(b/138433137) Select AVX-512 at runtime rather than via compile options.
 #if defined(__AVX512F__) && defined(__AVX512DQ__) && defined(__AVX512CD__) && \
     defined(__AVX512BW__) && defined(__AVX512VL__)
-#define RUY_DONOTUSEDIRECTLY_AVX512 1
+#define RUY_DONOTUSEDIRECTLY_AVX512 0

sub-mod

---
apiVersion: tekton.dev/v1alpha1
kind: ClusterTask
metadata:
  name: od-buildah
spec:
  inputs:
    params:
    - name: BUILDER_IMAGE
      description: The location of the buildah builder image.

sub-mod

---
apiVersion: image.openshift.io/v1
kind: ImageStream
metadata:
  name: test-bc-sample
spec:
  lookupPolicy:
    local: false
---
kind: "BuildConfig"

sub-mod

```---
apiVersion: tekton.dev/v1alpha1
kind: Task
metadata:
  name: ic-buildah1
spec:
  inputs:
    params:
    - name: BUILDER_IMAGE
      description: The location of the buildah builder image.

sub-mod

Use OMP_NUM_THREADS=1 for Running Pytorch on Openshift with 1CPU
Else MKL will spawn threads for all the cpus it can see from the pod.

apiVersion: v1
kind: Template
metadata:
  name: playground
  labels:
    app: playground