Visualization How to Visualize Neural Networks as Computation Graph https://mxnet.apache.org/api/faq/visualize_graph ...

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FastAPI framework, high performance, easy to learn, fast to code, ready for production

Synopsis Update the user, group, or service account in a role binding or cluster role binding. kubectl set subject (-f FILENAME | TYPE NAME) [--user=username] [--group=groupname] [--serviceaccount=namespace:serviceaccountname] [--dry-run=server|client|none] Examples # Update a cluster role binding for serviceaccount1 kubectl set subject clusterrolebinding admin --serviceaccount=namespace:serviceaccount1 # Update a role binding for user1, user2, and group1 kubectl set subject rolebinding admin --user=user1 --user=user2 --group=group1 # Print the result (in YAML format) of updating rolebinding subjects from a local, without hitting the server kubectl create rolebinding admin --role=admin --user=admin -o yaml --dry-run=client | kubectl set subject --local -f - --user=foo -o yaml Options --all Select all resources, in the namespace of the specified resource types

Synopsis Create a deployment with the specified name. kubectl create deployment NAME --image=image -- [COMMAND] [args...] Examples # Create a deployment named my-dep that runs the busybox image kubectl create deployment my-dep --image=busybox # Create a deployment with a command kubectl create deployment my-dep --image=busybox -- date # Create a deployment named my-dep that runs the nginx image with 3 replicas kubectl create deployment my-dep --image=nginx --replicas=3 # Create a deployment named my-dep that runs the busybox image and expose port 5701 kubectl create deployment my-dep --image=busybox --port=5701 # Create a deployment named my-dep that runs multiple containers kubectl create deployment my-dep --image=busybox:latest --image=ubuntu:latest --image=nginx Options --allow-missing-template-keys     Default: true If true, ignore any errors in templates when a field or map key is missing in the template.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

mxnet.np.ravel ravel ( x ) Return a contiguous flattened array. A 1-D array, containing the elements of the input, is...

English ▾ English Français Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential hel...

English ▾ English Français Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential hel...