[benchmarks] Initialize moco and TPU experiments on XLA.#7257
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[benchmarks] Initialize moco and TPU experiments on XLA.#7257
moco and TPU experiments on XLA.#7257Conversation
zpcore
reviewed
Jun 12, 2024
| device = ( | ||
| str(self.benchmark_experiment.get_device()) | ||
| if self.is_accelerator_tpu() else self.benchmark_experiment.accelerator) | ||
| if self.should_initialize_on_xla(): |
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Can you remind me why we didn't initialize on CUDA device for GPU experiment before? Thanks
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We actually do initialize them on CUDA device (i.e. self.benchmark_experiment.accelerator). The thing is that for moco we have to initialize the benchmark on XLA device (i.e. str(self.benchmark_experiment.get_device())).
vanbasten23
reviewed
Jun 17, 2024
| if self.benchmark_experiment.xla and not self.should_initialize_on_xla(): | ||
| # First, move the model and the inputs to CPU. | ||
| # This avoids having dupplicated data on CUDA. | ||
| if self.is_accelerator_cuda(): |
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you may want to do a rebase.
vanbasten23
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Jun 17, 2024
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Fix: #6083
This PR partially fixes
mocobenchmark by initializing it using the XLA device, instead of its accelerator. Alongside benchmark#2292, this should fixmocofor, at least, inference (training should be tested soon).cc @miladm @JackCaoG @vanbasten23 @zpcore @frgossen