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denimbex1986 · 10 months

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'Oppenheimer director Christopher Nolan has said he "absolutely" will not work on another film until the Hollywood strikes are resolved.

Tens of thousands of Hollywood actors have joined writers in taking industrial action, because they want streaming giants to agree to a fairer split of profits and better working conditions.

The Screen Actors Guild also wants to protect actors from being usurped by digital replicas.

Nolan admitted he was "very fortunate with the timing", as his film's premieres were held just before the strike began, meaning Oppenheimer would not be affected by industry members stopping work.

When asked if he would write another film during the strike, he told BBC Culture editor Katie Razzall: "No, absolutely. It's very important that everybody understands it is a very key moment in the relationship between working people and Hollywood.

"This is not about me, this is not about the stars of my film," the acclaimed director, writer and producer added.

"This is about jobbing actors, this is about staff writers on television programmes trying to raise a family, trying to keep food on the table."

As more production companies use streaming platforms - like Netflix and Amazon Prime - for their shows, it has changed how actors and writers get paid.

Previously every time an episode was re-run on a TV network, it would tend to involve payment, allowing those who worked on projects to get by in between jobs.

The director said the companies involved had not yet "accommodated how they're going to in this new world of streaming, and a world where they're not licensing their products out to other broadcasters - they're keeping them for themselves".

Nolan, who was Oscar-nominated five times for the films Dunkirk, Inception and Memento, added: "They have not yet offered to pay appropriately to the unions' working members, and it's very important that they do so.

"I think you'd never want a strike, you never want industrial action.

"But there are times where it's necessary. This is one of those times."

Speaking ahead of the London premiere, where several of Oppenheimer's stars left the red carpet early to strike, he explained: "It's very important to bear in mind that there are people who have been out of work for months now, as part of the writers strike, and with the actors potentially joining - a lot of people are going to suffer."

Despite the row in California, British-born Nolan has no current plans to work more in the UK, his home country, as he prefers to be "on the real locations" where his films are set.

"The UK has wonderful film studios," he explained. "It's a great place to come to shoot a film if you're going to be on sound stages."

Oppenheimer tells the story of J Robert Oppenheimer, the enigmatic Manhattan Project scientist, who had a leading role in developing the atomic bomb that made him a "destroyer of worlds".

He "gave us the power to destroy ourselves and that had never happened before", Nolan said.

Commissioned by the US Government during World War II, and believing themselves in a nuclear race with the Nazis over who would create the bomb first, in 1945 scientists in Los Alamos, New Mexico detonated a test bomb, codenamed Trinity.

Their invention was then used, controversially, to end the war, dropped on Hiroshima and Nagasaki to devastating effect.

The film is an exploration not just of Oppenheimer's story, but of the "incredible decision" the scientists took on that first occasion.

"There's a possibility that when you push that button, you might destroy the entire world," Nolan told the BBC.

"And yet they went ahead and they pushed it. How could you make that decision? How could you take that on yourself?"

Another existential threat to civilization is AI, which is also part of the Hollywood strike and makes the Oppenheimer movie more timely.

"One of the interesting things about putting this film out is it's coming at a time when there are a lot of new technologies that people start to worry about the unintended consequences," he said.

"When you talk to leaders in the field of AI, as I do from time to time, they see this moment right now as their Oppenheimer moment. They're looking to his story to say, 'what are our responsibilities? How can we deal with the potential unintended consequences?' Sadly, for them, there are no easy answers."

Nolan is one of a rare number of Hollywood directors. His films - Interstellar, the Dark Knight Trilogy, Inception amongst them - are both blockbusters and arthouse fare; critically acclaimed and, Tenet aside, which was released during the pandemic, box office successes.

"I make the films that I really want to go to the cinema and sit down with my popcorn and watch" he says. "I started making films when I was a kid. I made Super 8 films from when I was seven or eight years old and I've never stopped".

He's a champion of the big screen who, famously, left Warner Bros for rival Universal to make Oppenheimer.

Nolan's known for wanting his films to feel authentic rather than computer-generated.

There was even a rumour doing the rounds on the internet that he had set off a real atomic bomb in New Mexico for Oppenheimer.

"We recreated the circumstances of it," he said, "obviously not using an atomic weapon. What we're trying to portray is this moment of absolute beauty and absolute terror.

"This is the moment that really changed the world."'

#Christopher Nolan #Oppenheimer #Screen Actors Guild #Amazon Prime #Netflix #Inception4 #Dunkirk #Memento #Interstellar #The Dark Knight Trilogy #Inception #Tenet

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system76 · 4 years

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RTX 2080Ti vs RTX 3090 Machine Learning Benchmarks

NVIDIA’s 2nd generation RTX architecture brings more performance for faster Machine Learning training. We tested four Geforce RTX 2080Ti GPUs against three Geforce RTX 3090 GPUs and found that three RTX 3090s performed similar or better than four RTX 2080Ti’s for most tests with the same batch size. The RTX 3090s offer faster training with larger batch sizes as well, thanks to the additional memory available in the RTX 3090. Three RTX 3090s were used, rather than four, due to their increased power requirements.

The tests were conducted on the new Thelio Mega workstation from System76. Thelio Mega was engineered specifically for graphics compute intensive workloads.

The tests include Inception3, Resnet50, Resnet152, VGG16, and Inception4 models. We used Tensorman, available in Pop!_OS, to run the tests. Tensorman is a tool that makes it easy to manage Tensorflow toolchains.

*GeForce RTX 2080Ti were unable to run larger batch sizes due to limited memory. RTX 3090 performance should improve further when new CUDA versions are supported in Tensorflow.

Commands used to run these tests in Pop!_OS 20.04 LTS Install Tensorman

sudo apt install tensorman sudo apt install nvidia-container-runtime sudo usermod -aG docker $USER reboot

Clone the Benchmarks

git clone https://github.com/tensorflow/benchmarks.git cd benchmarks

Run Tests Tensorflow nightly is required for the RTX 3090. Change --num_gpus= to match your setup and --batch_size= for your desired test.

tensorman pull nightly

tensorman +nightly run --gpu python -- ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --batch_size=128 --model=inception3 --variable_update=parameter_server --use_fp16=True --num_gpus=4

tensorman +nightly run --gpu python -- ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --batch_size=64 --model=inception4 --variable_update=parameter_server --use_fp16=True --num_gpus=4

tensorman +nightly run --gpu python -- ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --batch_size=128 --model=resnet50 --variable_update=parameter_server --use_fp16=True --num_gpus=4

tensorman +nightly run --gpu python -- ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --batch_size=64 --model=resnet152 --variable_update=parameter_server --use_fp16=True --num_gpus=4

tensorman +nightly run --gpu python -- ./scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --batch_size=128 --model=vgg16 --variable_update=parameter_server --use_fp16=True --num_gpus=4

The above tests are good for measuring component performance, but not the computer and its thermal system. Training models with a high degree of accuracy takes hours or days. Intense GPU use over an extended period of time demonstrates the system’s performance in real-world scenarios. We use stress-ng and gpuburn tools while engineering our products to ensure maximum component performance over extended compute workloads. More details on that testing and the results for Thelio Mega are coming soon.

Thelio Mega Configuration AMD Ryzen Threadripper 3990X 250 GB Samsung 970 Evo Plus NVMe M.2 Drive 64GB 3200 MHz Kingston HyperX Memory 4 x NVIDIA GeForce RTX 2080ti (Gigabyte GV-N208TTURBO-11GC) 3 x NVIDIA GeForce RTX 3090 (Gigabyte GV-N3090TURBO-24GD)

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