| import torch | |
| from huggingface_hub import hf_hub_download | |
| from diffusers import FluxTransformer2DModel, DiffusionPipeline | |
| dtype, device = torch.bfloat16, "cuda" | |
| ckpt_id = "black-forest-labs/FLUX.1-schnell" | |
| with torch.device("meta"): | |
| config = FluxTransformer2DModel.load_config(ckpt_id, subfolder="transformer") | |
| model = FluxTransformer2DModel.from_config(config).to(dtype) |
| cmake_minimum_required(VERSION 3.4.3) | |
| project(sample CXX) | |
| find_package(InferenceEngine REQUIRED) | |
| add_executable(${CMAKE_PROJECT_NAME} main.cpp) | |
| target_compile_features(${CMAKE_PROJECT_NAME} PRIVATE cxx_range_for) | |
| target_link_libraries(${CMAKE_PROJECT_NAME} |
Docker image to Virtualbox disk
https://stackoverflow.com/questions/23436613/how-can-i-convert-a-docker-image-into-a-vagrant-virtualbox-box by user blueskin (CC by-sa 3.0)
Find the size of the docker image from docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.
After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft
| # Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # Remove anything linked to nvidia | |
| sudo apt-get remove --purge nvidia* | |
| sudo apt-get autoremove | |
| # Search for your driver | |
| apt search nvidia | |
| # Select one driver (the last one is a decent choice) | |
| sudo apt install nvidia-370 |
Paprika doesn't have their API documented, so this is me reverse-engineering it from an Android device
Most GStreamer examples found online are either for Linux or for gstreamer 0.10.
This particular release note seems to have covered important changes, such as:
Applying -v will print out useful information. And most importantly the negotiation results.
| #include <cassert> | |
| #include <chrono> | |
| #include <cstdio> | |
| #include <iostream> | |
| #include <map> | |
| #include <string> | |
| #include <vector> | |
| enum class DataType { | |
| BOOL, |