| def keras_model_memory_usage_in_bytes(model, *, batch_size: int): | |
| """ | |
| Return the estimated memory usage of a given Keras model in bytes. | |
| This includes the model weights and layers, but excludes the dataset. | |
| The model shapes are multipled by the batch size, but the weights are not. | |
| Args: | |
| model: A Keras model. | |
| batch_size: The batch size you intend to run the model with. If you |
| module "myproject-fargate" { | |
| source = "github.com/provose/provose?ref=v1.1.0" | |
| provose_config = { | |
| authentication = { | |
| aws = { | |
| region = "us-east-1" | |
| } | |
| } | |
| name = "myproject-fargate" | |
| internal_root_domain = "example-internal.com" |
This is a Hashicorp Terraform module that provisions an AWS EC2 instance
for the purpose of running a given docker-compose.yml file.
# ===== OUR MAGIC DOCKER-COMPOSE.YML FILE HERE =====
# It is also possible to get Terraform to read an external `docker-compose.yml`
# file and load it into this variable.
# We'll be showing off a demo nginx page.
| FROM python:3.8-buster | |
| WORKDIR /code | |
| # Don't run as root. | |
| RUN groupadd -r baphomet \ | |
| && useradd -m -d /home/baphomet -s /bin/bash -g baphomet baphomet | |
| RUN wget -q https://snapshots.mitmproxy.org/5.0.1/mitmproxy-5.0.1-linux.tar.gz -O mitmproxy.tar.gz \ | |
| && tar xvf mitmproxy.tar.gz \ | |
| && mv mitmdump mitmproxy mitmweb /bin \ | |
| && rm mitmproxy.tar.gz |
I hereby claim:
To claim this, I am signing this object:
| #!/bin/bash | |
| sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 7F0CEB10 | |
| echo 'deb http://downloads-distro.mongodb.org/repo/ubuntu-upstart dist 10gen' | sudo tee /etc/apt/sources.list.d/mongodb.list | |
| sudo apt-get update && sudo apt-get install mongodb-org |