*   Fixes a segfault in `QuantizedBiasAdd` ([CVE-2022-35972](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35972))
*   Fixes a `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` ([CVE-2022-36019](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36019))
*   Fixes a segfault in `QuantizedMatMul` ([CVE-2022-35973](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35973))

    Res<TF_Float32Tensor, [{Backpropagated gradients w.r.t. max parameter:
`sum(gradients * (inputs > max))`.}]>:$backprop_wrt_max
  );
}

def TF_FakeQuantWithMinMaxVarsPerChannelOp : TF_Op<"FakeQuantWithMinMaxVarsPerChannel", [Pure]> {
  let summary = [{
Fake-quantize the 'inputs' tensor of type float via per-channel floats
  }];

  let description = [{