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* start work * right a wrong * mimimal reduce example * save * get tests to pass * fix stupid bug * tests passing * out of bounds error fixed, all tests passing * revert changes to other files * clean * getting better, will drink a glass of wine and finish over the weekend * clean
This is where we scope out adding accelerators to tinygrad ane -- Apple Neural Engine, in the M1 + newer iPhones cherry -- Largely defunct custom hardware based on a RISC-V extension tpu -- Google's TPU, available for rent in Google Cloud