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* bringing back reshape and permute * done with E701 * 4x4 works in generic way * max and sum not vectorizing... * special case single float * support comparing to MPS * improve matmul speed, consider generic principles * GlobalCounter * fix op tracking * faster * comment that out for now * err, it needs that * fix minor issues * fix global_mem |
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| opencl | ||
| rawcpu | ||
| tpu | ||
| MAPPING | ||
| README | ||
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