code: def compile_relu(ane, sz):
      dat = list(open("accel/ane/ops/relu.hwx", "rb").read())
      # TODO: make this all nice and once
      # number of engines? (max 0x100)
      l2_stride = max(0x100, roundup(sz * 2, 0x10))
      # 0x1ec = L2.SourceChannelStride.Stride, 0x1f0 = L2.SourceRowStride.Stride
      # 0x1f4, 0x1f8?
      # 0x214 = L2.ResultBase.Addr
      dat = ane.fill(
          dat, [0x1EC, 0x1F0, 0x1F4, 0x1F8, 0x214], "I", l2_stride
      )
      stride = roundup(sz * 2, 0x40)
      dat = ane.filln(
          dat,
          {
              "NeuronType": 0x11,  # 0x10 makes this a copy, 0x11 = ReLU, 0x12 = crash
              "InputWidth": sz,
              "OutputWidth": sz,
              "InputRowStride": stride,
              "InputPlaneStride": stride,
              "InputDepthStride": stride,
              "OutputRowStride": stride,
              "OutputPlaneStride": stride,
              "OutputDepthStride": stride,
          },
      )
      return compile_wrapper(ane, bytes(dat))
  
file_path: tinygrad/extra/accel/ane/tinygrad/ops_ane.py
imports: from functools import lru_cache
  from .tensor import Device, Function, register
label_desc: Use image node_id 3 for calling a global function with example usage: compile_relu(ane, sz) and returns: compile_wrapper