IQ.Pilot Release Commit @ 4fcea4d

tinygrad_repo/examples/tools/gpuburn.py

@@ -0,0 +1,15 @@
+from tinygrad import Tensor, Device, TinyJit, dtypes
+
+GPUS = Device[Device.DEFAULT].count()
+N = 6144
+
+@TinyJit
+def many_matmul(A, B):
+  out = A
+  for _ in range(8): out = out@B
+  return out
+
+if __name__ == "__main__":
+  A = Tensor.ones(GPUS, N, N, dtype=dtypes.half).shard(devices=tuple([f"{Device.DEFAULT}:{i}" for i in range(GPUS)]), axis=0).contiguous()
+  B = Tensor.ones(GPUS, N, N, dtype=dtypes.half).shard(devices=tuple([f"{Device.DEFAULT}:{i}" for i in range(GPUS)]), axis=0).contiguous()
+  while 1: many_matmul(A, B)